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SELECT state.state_name FROM state WHERE state.area=(SELECT min(state.area) FROM state WHERE state.state_name IN (SELECT border_info.border FROM border_info WHERE border_info.state_name = 'texas') ) AND state.state_name IN ((SELECT border_info.border FROM border_info WHERE border_info.state_name = 'texas'));
which state has the smallest area that borders texas ?
{"columns":["state_name"],"index":[0],"data":[["louisiana"]]}
[ "state", "border_info" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}", "{\"columns\":[\"state_name\",\"border\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217],\"data\":[[\"alabama\",\"tennessee\"],[\"alabama\",\"georgia\"],[\"alabama\",\"florida\"],[\"alabama\",\"mississippi\"],[\"arizona\",\"utah\"],[\"arizona\",\"colorado\"],[\"arizona\",\"new mexico\"],[\"arizona\",\"california\"],[\"arizona\",\"nevada\"],[\"arkansas\",\"missouri\"],[\"arkansas\",\"tennessee\"],[\"arkansas\",\"mississippi\"],[\"arkansas\",\"louisiana\"],[\"arkansas\",\"texas\"],[\"arkansas\",\"oklahoma\"],[\"california\",\"oregon\"],[\"california\",\"nevada\"],[\"california\",\"arizona\"],[\"colorado\",\"nebraska\"],[\"colorado\",\"kansas\"],[\"colorado\",\"oklahoma\"],[\"colorado\",\"new mexico\"],[\"colorado\",\"arizona\"],[\"colorado\",\"utah\"],[\"colorado\",\"wyoming\"],[\"connecticut\",\"massachusetts\"],[\"connecticut\",\"rhode island\"],[\"connecticut\",\"new york\"],[\"delaware\",\"pennsylvania\"],[\"delaware\",\"new jersey\"],[\"delaware\",\"maryland\"],[\"district of columbia\",\"maryland\"],[\"district of columbia\",\"virginia\"],[\"florida\",\"georgia\"],[\"florida\",\"alabama\"],[\"georgia\",\"north carolina\"],[\"georgia\",\"south carolina\"],[\"georgia\",\"florida\"],[\"georgia\",\"alabama\"],[\"georgia\",\"tennessee\"],[\"idaho\",\"montana\"],[\"idaho\",\"wyoming\"],[\"idaho\",\"utah\"],[\"idaho\",\"nevada\"],[\"idaho\",\"oregon\"],[\"idaho\",\"washington\"],[\"illinois\",\"wisconsin\"],[\"illinois\",\"indiana\"],[\"illinois\",\"kentucky\"],[\"illinois\",\"missouri\"],[\"illinois\",\"iowa\"],[\"indiana\",\"michigan\"],[\"indiana\",\"ohio\"],[\"indiana\",\"kentucky\"],[\"indiana\",\"illinois\"],[\"iowa\",\"minnesota\"],[\"iowa\",\"wisconsin\"],[\"iowa\",\"illinois\"],[\"iowa\",\"missouri\"],[\"iowa\",\"nebraska\"],[\"iowa\",\"south dakota\"],[\"kansas\",\"nebraska\"],[\"kansas\",\"missouri\"],[\"kansas\",\"oklahoma\"],[\"kansas\",\"colorado\"],[\"kentucky\",\"indiana\"],[\"kentucky\",\"ohio\"],[\"kentucky\",\"west virginia\"],[\"kentucky\",\"virginia\"],[\"kentucky\",\"tennessee\"],[\"kentucky\",\"missouri\"],[\"kentucky\",\"illinois\"],[\"louisiana\",\"arkansas\"],[\"louisiana\",\"mississippi\"],[\"louisiana\",\"texas\"],[\"maine\",\"new hampshire\"],[\"maryland\",\"pennsylvania\"],[\"maryland\",\"delaware\"],[\"maryland\",\"virginia\"],[\"maryland\",\"district of columbia\"],[\"maryland\",\"west virginia\"],[\"massachusetts\",\"new hampshire\"],[\"massachusetts\",\"rhode island\"],[\"massachusetts\",\"connecticut\"],[\"massachusetts\",\"new york\"],[\"massachusetts\",\"vermont\"],[\"michigan\",\"ohio\"],[\"michigan\",\"indiana\"],[\"michigan\",\"wisconsin\"],[\"minnesota\",\"wisconsin\"],[\"minnesota\",\"iowa\"],[\"minnesota\",\"south dakota\"],[\"minnesota\",\"north dakota\"],[\"mississippi\",\"tennessee\"],[\"mississippi\",\"alabama\"],[\"mississippi\",\"louisiana\"],[\"mississippi\",\"arkansas\"],[\"missouri\",\"iowa\"],[\"missouri\",\"illinois\"],[\"missouri\",\"kentucky\"],[\"missouri\",\"tennessee\"],[\"missouri\",\"arkansas\"],[\"missouri\",\"oklahoma\"],[\"missouri\",\"kansas\"],[\"missouri\",\"nebraska\"],[\"montana\",\"north dakota\"],[\"montana\",\"south dakota\"],[\"montana\",\"wyoming\"],[\"montana\",\"idaho\"],[\"nebraska\",\"south dakota\"],[\"nebraska\",\"iowa\"],[\"nebraska\",\"missouri\"],[\"nebraska\",\"kansas\"],[\"nebraska\",\"colorado\"],[\"nebraska\",\"wyoming\"],[\"nevada\",\"idaho\"],[\"nevada\",\"utah\"],[\"nevada\",\"arizona\"],[\"nevada\",\"california\"],[\"nevada\",\"oregon\"],[\"new hampshire\",\"maine\"],[\"new hampshire\",\"massachusetts\"],[\"new hampshire\",\"vermont\"],[\"new jersey\",\"new york\"],[\"new jersey\",\"delaware\"],[\"new jersey\",\"pennsylvania\"],[\"new mexico\",\"colorado\"],[\"new mexico\",\"oklahoma\"],[\"new mexico\",\"texas\"],[\"new mexico\",\"arizona\"],[\"new mexico\",\"utah\"],[\"new york\",\"vermont\"],[\"new york\",\"massachusetts\"],[\"new york\",\"connecticut\"],[\"new york\",\"new jersey\"],[\"new york\",\"pennsylvania\"],[\"north carolina\",\"virginia\"],[\"north carolina\",\"south carolina\"],[\"north carolina\",\"georgia\"],[\"north carolina\",\"tennessee\"],[\"north dakota\",\"minnesota\"],[\"north dakota\",\"south dakota\"],[\"north dakota\",\"montana\"],[\"ohio\",\"michigan\"],[\"ohio\",\"pennsylvania\"],[\"ohio\",\"west virginia\"],[\"ohio\",\"kentucky\"],[\"ohio\",\"indiana\"],[\"oklahoma\",\"kansas\"],[\"oklahoma\",\"missouri\"],[\"oklahoma\",\"arkansas\"],[\"oklahoma\",\"texas\"],[\"oklahoma\",\"new mexico\"],[\"oklahoma\",\"colorado\"],[\"oregon\",\"washington\"],[\"oregon\",\"idaho\"],[\"oregon\",\"nevada\"],[\"oregon\",\"california\"],[\"pennsylvania\",\"new york\"],[\"pennsylvania\",\"new jersey\"],[\"pennsylvania\",\"delaware\"],[\"pennsylvania\",\"maryland\"],[\"pennsylvania\",\"west virginia\"],[\"pennsylvania\",\"ohio\"],[\"rhode island\",\"massachusetts\"],[\"rhode island\",\"connecticut\"],[\"south carolina\",\"north carolina\"],[\"south carolina\",\"georgia\"],[\"south dakota\",\"north dakota\"],[\"south dakota\",\"minnesota\"],[\"south dakota\",\"iowa\"],[\"south dakota\",\"nebraska\"],[\"south dakota\",\"wyoming\"],[\"south dakota\",\"montana\"],[\"tennessee\",\"kentucky\"],[\"tennessee\",\"virginia\"],[\"tennessee\",\"north carolina\"],[\"tennessee\",\"georgia\"],[\"tennessee\",\"alabama\"],[\"tennessee\",\"mississippi\"],[\"tennessee\",\"arkansas\"],[\"tennessee\",\"missouri\"],[\"texas\",\"oklahoma\"],[\"texas\",\"arkansas\"],[\"texas\",\"louisiana\"],[\"texas\",\"new mexico\"],[\"utah\",\"wyoming\"],[\"utah\",\"colorado\"],[\"utah\",\"new mexico\"],[\"utah\",\"arizona\"],[\"utah\",\"nevada\"],[\"utah\",\"idaho\"],[\"vermont\",\"new hampshire\"],[\"vermont\",\"massachusetts\"],[\"vermont\",\"new york\"],[\"virginia\",\"maryland\"],[\"virginia\",\"district of columbia\"],[\"virginia\",\"north carolina\"],[\"virginia\",\"tennessee\"],[\"virginia\",\"kentucky\"],[\"virginia\",\"west virginia\"],[\"washington\",\"idaho\"],[\"washington\",\"oregon\"],[\"west virginia\",\"pennsylvania\"],[\"west virginia\",\"maryland\"],[\"west virginia\",\"virginia\"],[\"west virginia\",\"kentucky\"],[\"west virginia\",\"ohio\"],[\"wisconsin\",\"michigan\"],[\"wisconsin\",\"illinois\"],[\"wisconsin\",\"iowa\"],[\"wisconsin\",\"minnesota\"],[\"wyoming\",\"montana\"],[\"wyoming\",\"south dakota\"],[\"wyoming\",\"nebraska\"],[\"wyoming\",\"colorado\"],[\"wyoming\",\"utah\"],[\"wyoming\",\"idaho\"]]}" ]
which state has the smallest area that borders texas ? <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318 <table_name> : border_info col : state_name | border row 1 : alabama | tennessee row 2 : alabama | georgia row 3 : alabama | florida row 4 : alabama | mississippi row 5 : arizona | utah row 6 : arizona | colorado row 7 : arizona | new mexico row 8 : arizona | california row 9 : arizona | nevada row 10 : arkansas | missouri row 11 : arkansas | tennessee row 12 : arkansas | mississippi row 13 : arkansas | louisiana row 14 : arkansas | texas row 15 : arkansas | oklahoma row 16 : california | oregon row 17 : california | nevada row 18 : california | arizona row 19 : colorado | nebraska row 20 : colorado | kansas row 21 : colorado | oklahoma row 22 : colorado | new mexico row 23 : colorado | arizona row 24 : colorado | utah row 25 : colorado | wyoming row 26 : connecticut | massachusetts row 27 : connecticut | rhode island row 28 : connecticut | new york row 29 : delaware | pennsylvania row 30 : delaware | new jersey row 31 : delaware | maryland row 32 : district of columbia | maryland row 33 : district of columbia | virginia row 34 : florida | georgia row 35 : florida | alabama row 36 : georgia | north carolina row 37 : georgia | south carolina row 38 : georgia | florida row 39 : georgia | alabama row 40 : georgia | tennessee row 41 : idaho | montana row 42 : idaho | wyoming row 43 : idaho | utah row 44 : idaho | nevada row 45 : idaho | oregon row 46 : idaho | washington row 47 : illinois | wisconsin row 48 : illinois | indiana row 49 : illinois | kentucky row 50 : illinois | missouri row 51 : illinois | iowa row 52 : indiana | michigan row 53 : indiana | ohio row 54 : indiana | kentucky row 55 : indiana | illinois row 56 : iowa | minnesota row 57 : iowa | wisconsin row 58 : iowa | illinois row 59 : iowa | missouri row 60 : iowa | nebraska row 61 : iowa | south dakota row 62 : kansas | nebraska row 63 : kansas | missouri row 64 : kansas | oklahoma row 65 : kansas | colorado row 66 : kentucky | indiana row 67 : kentucky | ohio row 68 : kentucky | west virginia row 69 : kentucky | virginia row 70 : kentucky | tennessee row 71 : kentucky | missouri row 72 : kentucky | illinois row 73 : louisiana | arkansas row 74 : louisiana | mississippi row 75 : louisiana | texas row 76 : maine | new hampshire row 77 : maryland | pennsylvania row 78 : maryland | delaware row 79 : maryland | virginia row 80 : maryland | district of columbia row 81 : maryland | west virginia row 82 : massachusetts | new hampshire row 83 : massachusetts | rhode island row 84 : massachusetts | connecticut row 85 : massachusetts | new york row 86 : massachusetts | vermont row 87 : michigan | ohio row 88 : michigan | indiana row 89 : michigan | wisconsin row 90 : minnesota | wisconsin row 91 : minnesota | iowa row 92 : minnesota | south dakota row 93 : minnesota | north dakota row 94 : mississippi | tennessee row 95 : mississippi | alabama row 96 : mississippi | louisiana row 97 : mississippi | arkansas row 98 : missouri | iowa row 99 : missouri | illinois row 100 : missouri | kentucky row 101 : missouri | tennessee row 102 : missouri | arkansas row 103 : missouri | oklahoma row 104 : missouri | kansas row 105 : missouri | nebraska row 106 : montana | north dakota row 107 : montana | south dakota row 108 : montana | wyoming row 109 : montana | idaho row 110 : nebraska | south dakota row 111 : nebraska | iowa row 112 : nebraska | missouri row 113 : nebraska | kansas row 114 : nebraska | colorado row 115 : nebraska | wyoming row 116 : nevada | idaho row 117 : nevada | utah row 118 : nevada | arizona row 119 : nevada | california row 120 : nevada | oregon row 121 : new hampshire | maine row 122 : new hampshire | massachusetts row 123 : new hampshire | vermont row 124 : new jersey | new york row 125 : new jersey | delaware row 126 : new jersey | pennsylvania row 127 : new mexico | colorado row 128 : new mexico | oklahoma row 129 : new mexico | texas row 130 : new mexico | arizona row 131 : new mexico | utah row 132 : new york | vermont row 133 : new york | massachusetts row 134 : new york | connecticut row 135 : new york | new jersey row 136 : new york | pennsylvania row 137 : north carolina | virginia row 138 : north carolina | south carolina row 139 : north carolina | georgia row 140 : north carolina | tennessee row 141 : north dakota | minnesota row 142 : north dakota | south dakota row 143 : north dakota | montana row 144 : ohio | michigan row 145 : ohio | pennsylvania row 146 : ohio | west virginia row 147 : ohio | kentucky row 148 : ohio | indiana row 149 : oklahoma | kansas row 150 : oklahoma | missouri row 151 : oklahoma | arkansas row 152 : oklahoma | texas row 153 : oklahoma | new mexico row 154 : oklahoma | colorado row 155 : oregon | washington row 156 : oregon | idaho row 157 : oregon | nevada row 158 : oregon | california row 159 : pennsylvania | new york row 160 : pennsylvania | new jersey row 161 : pennsylvania | delaware row 162 : pennsylvania | maryland row 163 : pennsylvania | west virginia row 164 : pennsylvania | ohio row 165 : rhode island | massachusetts row 166 : rhode island | connecticut row 167 : south carolina | north carolina row 168 : south carolina | georgia row 169 : south dakota | north dakota row 170 : south dakota | minnesota row 171 : south dakota | iowa row 172 : south dakota | nebraska row 173 : south dakota | wyoming row 174 : south dakota | montana row 175 : tennessee | kentucky row 176 : tennessee | virginia row 177 : tennessee | north carolina row 178 : tennessee | georgia row 179 : tennessee | alabama row 180 : tennessee | mississippi row 181 : tennessee | arkansas row 182 : tennessee | missouri row 183 : texas | oklahoma row 184 : texas | arkansas row 185 : texas | louisiana row 186 : texas | new mexico row 187 : utah | wyoming row 188 : utah | colorado row 189 : utah | new mexico row 190 : utah | arizona row 191 : utah | nevada row 192 : utah | idaho row 193 : vermont | new hampshire row 194 : vermont | massachusetts row 195 : vermont | new york row 196 : virginia | maryland row 197 : virginia | district of columbia row 198 : virginia | north carolina row 199 : virginia | tennessee row 200 : virginia | kentucky row 201 : virginia | west virginia row 202 : washington | idaho row 203 : washington | oregon row 204 : west virginia | pennsylvania row 205 : west virginia | maryland row 206 : west virginia | virginia row 207 : west virginia | kentucky row 208 : west virginia | ohio row 209 : wisconsin | michigan row 210 : wisconsin | illinois row 211 : wisconsin | iowa row 212 : wisconsin | minnesota row 213 : wyoming | montana row 214 : wyoming | south dakota row 215 : wyoming | nebraska row 216 : wyoming | colorado row 217 : wyoming | utah row 218 : wyoming | idaho
col : state_name row 1 : louisiana
SELECT highlow.state_name FROM highlow WHERE highlow.lowest_elevation=(SELECT min(highlow.lowest_elevation) FROM highlow,river WHERE(river.river_name='mississippi') AND(river.traverse=highlow.state_name));
of the states washed by the mississippi river which has the lowest point
{"columns":["state_name"],"index":[0],"data":[["louisiana"]]}
[ "highlow" ]
[ "{\"columns\":[\"state_name\",\"highest_elevation\",\"lowest_point\",\"highest_point\",\"lowest_elevation\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",\"734\",\"gulf of mexico\",\"cheaha mountain\",\"0\"],[\"alaska\",\"6194\",\"pacific ocean\",\"mount mckinley\",\"0\"],[\"arizona\",\"3851\",\"colorado river\",\"humphreys peak\",\"21\"],[\"arkansas\",\"839\",\"ouachita river\",\"magazine mountain\",\"17\"],[\"california\",\"4418\",\"death valley\",\"mount whitney\",\"-85\"],[\"colorado\",\"4399\",\"arkansas river\",\"mount elbert\",\"1021\"],[\"connecticut\",\"725\",\"long island sound\",\"mount frissell\",\"0\"],[\"delaware\",\"135\",\"atlantic ocean\",\"centerville\",\"0\"],[\"district of columbia\",\"125\",\"potomac river\",\"tenleytown\",\"0\"],[\"florida\",\"105\",\"atlantic ocean\",\"walton county\",\"0\"],[\"georgia\",\"1458\",\"atlantic ocean\",\"brasstown bald\",\"0\"],[\"hawaii\",\"4205\",\"pacific ocean\",\"mauna kea\",\"0\"],[\"idaho\",\"3859\",\"snake river\",\"borah peak\",\"216\"],[\"illinois\",\"376\",\"mississippi river\",\"charles mound\",\"85\"],[\"indiana\",\"383\",\"ohio river\",\"franklin township\",\"98\"],[\"iowa\",\"511\",\"mississippi river\",\"ocheyedan mound\",\"146\"],[\"kansas\",\"1231\",\"verdigris river\",\"mount sunflower\",\"207\"],[\"kentucky\",\"1263\",\"mississippi river\",\"black mountain\",\"78\"],[\"louisiana\",\"163\",\"new orleans\",\"driskill mountain\",\"-1\"],[\"maine\",\"1606\",\"atlantic ocean\",\"mount katahdin\",\"0\"],[\"maryland\",\"1024\",\"atlantic ocean\",\"backbone mountain\",\"0\"],[\"massachusetts\",\"1064\",\"atlantic ocean\",\"mount greylock\",\"0\"],[\"michigan\",\"604\",\"lake erie\",\"mount curwood\",\"174\"],[\"minnesota\",\"701\",\"lake superior\",\"eagle mountain\",\"183\"],[\"mississippi\",\"246\",\"gulf of mexico\",\"woodall mountain\",\"0\"],[\"missouri\",\"540\",\"st. francis river\",\"taum sauk mountain\",\"70\"],[\"montana\",\"3901\",\"kootenai river\",\"granite peak\",\"549\"],[\"nebraska\",\"1654\",\"southeast corner\",\"johnson township\",\"256\"],[\"nevada\",\"4005\",\"colorado river\",\"boundary peak\",\"143\"],[\"new hampshire\",\"1917\",\"atlantic ocean\",\"mount washington\",\"0\"],[\"new jersey\",\"550\",\"atlantic ocean\",\"high point\",\"0\"],[\"new mexico\",\"4011\",\"red bluff reservoir\",\"wheeler peak\",\"859\"],[\"new york\",\"1629\",\"atlantic ocean\",\"mount marcy\",\"0\"],[\"north carolina\",\"2037\",\"atlantic ocean\",\"mount mitchell\",\"0\"],[\"north dakota\",\"1069\",\"red river\",\"white butte\",\"229\"],[\"ohio\",\"472\",\"ohio river\",\"campbell hill\",\"132\"],[\"oklahoma\",\"1516\",\"little river\",\"black mesa\",\"87\"],[\"oregon\",\"3424\",\"pacific ocean\",\"mount hood\",\"0\"],[\"pennsylvania\",\"979\",\"delaware river\",\"mount davis\",\"0\"],[\"rhode island\",\"247\",\"atlantic ocean\",\"jerimoth hill\",\"0\"],[\"south carolina\",\"1085\",\"atlantic ocean\",\"sassafras mountain\",\"0\"],[\"south dakota\",\"2207\",\"big stone lake\",\"harney peak\",\"284\"],[\"tennessee\",\"2025\",\"mississippi river\",\"clingmans dome\",\"55\"],[\"texas\",\"2667\",\"gulf of mexico\",\"guadalupe peak\",\"0\"],[\"utah\",\"4123\",\"beaver dam creek\",\"kings peak\",\"610\"],[\"vermont\",\"1339\",\"lake champlain\",\"mount mansfield\",\"29\"],[\"virginia\",\"1746\",\"atlantic ocean\",\"mount rogers\",\"0\"],[\"washington\",\"4392\",\"pacific ocean\",\"mount rainier\",\"0\"],[\"west virginia\",\"1482\",\"potomac river\",\"spruce knob\",\"73\"],[\"wisconsin\",\"595\",\"lake michigan\",\"timms hill\",\"177\"],[\"wyoming\",\"4202\",\"belle fourche river\",\"gannett peak\",\"945\"]]}" ]
of the states washed by the mississippi river which has the lowest point <table_name> : highlow col : state_name | highest_elevation | lowest_point | highest_point | lowest_elevation row 1 : alabama | 734 | gulf of mexico | cheaha mountain | 0 row 2 : alaska | 6194 | pacific ocean | mount mckinley | 0 row 3 : arizona | 3851 | colorado river | humphreys peak | 21 row 4 : arkansas | 839 | ouachita river | magazine mountain | 17 row 5 : california | 4418 | death valley | mount whitney | -85 row 6 : colorado | 4399 | arkansas river | mount elbert | 1021 row 7 : connecticut | 725 | long island sound | mount frissell | 0 row 8 : delaware | 135 | atlantic ocean | centerville | 0 row 9 : district of columbia | 125 | potomac river | tenleytown | 0 row 10 : florida | 105 | atlantic ocean | walton county | 0 row 11 : georgia | 1458 | atlantic ocean | brasstown bald | 0 row 12 : hawaii | 4205 | pacific ocean | mauna kea | 0 row 13 : idaho | 3859 | snake river | borah peak | 216 row 14 : illinois | 376 | mississippi river | charles mound | 85 row 15 : indiana | 383 | ohio river | franklin township | 98 row 16 : iowa | 511 | mississippi river | ocheyedan mound | 146 row 17 : kansas | 1231 | verdigris river | mount sunflower | 207 row 18 : kentucky | 1263 | mississippi river | black mountain | 78 row 19 : louisiana | 163 | new orleans | driskill mountain | -1 row 20 : maine | 1606 | atlantic ocean | mount katahdin | 0 row 21 : maryland | 1024 | atlantic ocean | backbone mountain | 0 row 22 : massachusetts | 1064 | atlantic ocean | mount greylock | 0 row 23 : michigan | 604 | lake erie | mount curwood | 174 row 24 : minnesota | 701 | lake superior | eagle mountain | 183 row 25 : mississippi | 246 | gulf of mexico | woodall mountain | 0 row 26 : missouri | 540 | st. francis river | taum sauk mountain | 70 row 27 : montana | 3901 | kootenai river | granite peak | 549 row 28 : nebraska | 1654 | southeast corner | johnson township | 256 row 29 : nevada | 4005 | colorado river | boundary peak | 143 row 30 : new hampshire | 1917 | atlantic ocean | mount washington | 0 row 31 : new jersey | 550 | atlantic ocean | high point | 0 row 32 : new mexico | 4011 | red bluff reservoir | wheeler peak | 859 row 33 : new york | 1629 | atlantic ocean | mount marcy | 0 row 34 : north carolina | 2037 | atlantic ocean | mount mitchell | 0 row 35 : north dakota | 1069 | red river | white butte | 229 row 36 : ohio | 472 | ohio river | campbell hill | 132 row 37 : oklahoma | 1516 | little river | black mesa | 87 row 38 : oregon | 3424 | pacific ocean | mount hood | 0 row 39 : pennsylvania | 979 | delaware river | mount davis | 0 row 40 : rhode island | 247 | atlantic ocean | jerimoth hill | 0 row 41 : south carolina | 1085 | atlantic ocean | sassafras mountain | 0 row 42 : south dakota | 2207 | big stone lake | harney peak | 284 row 43 : tennessee | 2025 | mississippi river | clingmans dome | 55 row 44 : texas | 2667 | gulf of mexico | guadalupe peak | 0 row 45 : utah | 4123 | beaver dam creek | kings peak | 610 row 46 : vermont | 1339 | lake champlain | mount mansfield | 29 row 47 : virginia | 1746 | atlantic ocean | mount rogers | 0 row 48 : washington | 4392 | pacific ocean | mount rainier | 0 row 49 : west virginia | 1482 | potomac river | spruce knob | 73 row 50 : wisconsin | 595 | lake michigan | timms hill | 177 row 51 : wyoming | 4202 | belle fourche river | gannett peak | 945
col : state_name row 1 : louisiana
SELECT state.population FROM state WHERE state.state_name='montana';
what is the population of montana
{"columns":["population"],"index":[0],"data":[[786700]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what is the population of montana <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : population row 1 : 786700
SELECT river.river_name FROM river WHERE river.traverse IN(SELECT border_info.border FROM border_info WHERE border_info.state_name IN(SELECT state.state_name FROM state WHERE state.capital='atlanta'));
what rivers run through the states that border the state with the capital atlanta
{"columns":["river_name"],"index":[0,1,2,3,4,5,6,7,8,9],"data":[["mississippi"],["chattahoochee"],["tennessee"],["tennessee"],["tennessee"],["cumberland"],["roanoke"],["tombigbee"],["wateree catawba"],["wateree catawba"]]}
[ "river", "state", "border_info" ]
[ "{\"columns\":[\"river_name\",\"length\",\"country_name\",\"traverse\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148],\"data\":[[\"mississippi\",3778,\"usa\",\"minnesota\"],[\"mississippi\",3778,\"usa\",\"wisconsin\"],[\"mississippi\",3778,\"usa\",\"iowa\"],[\"mississippi\",3778,\"usa\",\"illinois\"],[\"mississippi\",3778,\"usa\",\"missouri\"],[\"mississippi\",3778,\"usa\",\"kentucky\"],[\"mississippi\",3778,\"usa\",\"tennessee\"],[\"mississippi\",3778,\"usa\",\"arkansas\"],[\"mississippi\",3778,\"usa\",\"mississippi\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"missouri\",3968,\"usa\",\"montana\"],[\"missouri\",3968,\"usa\",\"north dakota\"],[\"missouri\",3968,\"usa\",\"south dakota\"],[\"missouri\",3968,\"usa\",\"iowa\"],[\"missouri\",3968,\"usa\",\"nebraska\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"colorado\",2333,\"usa\",\"colorado\"],[\"colorado\",2333,\"usa\",\"utah\"],[\"colorado\",2333,\"usa\",\"arizona\"],[\"colorado\",2333,\"usa\",\"nevada\"],[\"colorado\",2333,\"usa\",\"california\"],[\"ohio\",1569,\"usa\",\"pennsylvania\"],[\"ohio\",1569,\"usa\",\"west virginia\"],[\"ohio\",1569,\"usa\",\"kentucky\"],[\"ohio\",1569,\"usa\",\"indiana\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"ohio\"],[\"red\",1638,\"usa\",\"new mexico\"],[\"red\",1638,\"usa\",\"texas\"],[\"red\",1638,\"usa\",\"oklahoma\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"louisiana\"],[\"arkansas\",2333,\"usa\",\"colorado\"],[\"arkansas\",2333,\"usa\",\"kansas\"],[\"arkansas\",2333,\"usa\",\"oklahoma\"],[\"arkansas\",2333,\"usa\",\"arkansas\"],[\"canadian\",1458,\"usa\",\"colorado\"],[\"canadian\",1458,\"usa\",\"new mexico\"],[\"canadian\",1458,\"usa\",\"texas\"],[\"canadian\",1458,\"usa\",\"oklahoma\"],[\"connecticut\",655,\"usa\",\"new hampshire\"],[\"connecticut\",655,\"usa\",\"vermont\"],[\"connecticut\",655,\"usa\",\"massachusetts\"],[\"connecticut\",655,\"usa\",\"connecticut\"],[\"delaware\",451,\"usa\",\"new york\"],[\"delaware\",451,\"usa\",\"pennsylvania\"],[\"delaware\",451,\"usa\",\"new jersey\"],[\"delaware\",451,\"usa\",\"delaware\"],[\"little missouri\",901,\"usa\",\"wyoming\"],[\"little missouri\",901,\"usa\",\"montana\"],[\"little missouri\",901,\"usa\",\"south dakota\"],[\"little missouri\",901,\"usa\",\"north dakota\"],[\"snake\",1670,\"usa\",\"wyoming\"],[\"snake\",1670,\"usa\",\"idaho\"],[\"snake\",1670,\"usa\",\"oregon\"],[\"snake\",1670,\"usa\",\"washington\"],[\"snake\",1670,\"usa\",\"washington\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"florida\"],[\"cimarron\",965,\"usa\",\"new mexico\"],[\"cimarron\",965,\"usa\",\"kansas\"],[\"cimarron\",965,\"usa\",\"oklahoma\"],[\"green\",1175,\"usa\",\"wyoming\"],[\"green\",1175,\"usa\",\"utah\"],[\"green\",1175,\"usa\",\"colorado\"],[\"green\",1175,\"usa\",\"utah\"],[\"north platte\",1094,\"usa\",\"colorado\"],[\"north platte\",1094,\"usa\",\"wyoming\"],[\"north platte\",1094,\"usa\",\"nebraska\"],[\"potomac\",462,\"usa\",\"west virginia\"],[\"potomac\",462,\"usa\",\"maryland\"],[\"potomac\",462,\"usa\",\"virginia\"],[\"potomac\",462,\"usa\",\"district of columbia\"],[\"republican\",679,\"usa\",\"colorado\"],[\"republican\",679,\"usa\",\"nebraska\"],[\"republican\",679,\"usa\",\"kansas\"],[\"rio grande\",3033,\"usa\",\"colorado\"],[\"rio grande\",3033,\"usa\",\"new mexico\"],[\"rio grande\",3033,\"usa\",\"texas\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"new mexico\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"utah\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"alabama\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"kentucky\"],[\"wabash\",764,\"usa\",\"ohio\"],[\"wabash\",764,\"usa\",\"indiana\"],[\"wabash\",764,\"usa\",\"illinois\"],[\"yellowstone\",1080,\"usa\",\"wyoming\"],[\"yellowstone\",1080,\"usa\",\"montana\"],[\"yellowstone\",1080,\"usa\",\"north dakota\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"allegheny\",523,\"usa\",\"new 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hampshire\"],[\"vermont\",\"massachusetts\"],[\"vermont\",\"new york\"],[\"virginia\",\"maryland\"],[\"virginia\",\"district of columbia\"],[\"virginia\",\"north carolina\"],[\"virginia\",\"tennessee\"],[\"virginia\",\"kentucky\"],[\"virginia\",\"west virginia\"],[\"washington\",\"idaho\"],[\"washington\",\"oregon\"],[\"west virginia\",\"pennsylvania\"],[\"west virginia\",\"maryland\"],[\"west virginia\",\"virginia\"],[\"west virginia\",\"kentucky\"],[\"west virginia\",\"ohio\"],[\"wisconsin\",\"michigan\"],[\"wisconsin\",\"illinois\"],[\"wisconsin\",\"iowa\"],[\"wisconsin\",\"minnesota\"],[\"wyoming\",\"montana\"],[\"wyoming\",\"south dakota\"],[\"wyoming\",\"nebraska\"],[\"wyoming\",\"colorado\"],[\"wyoming\",\"utah\"],[\"wyoming\",\"idaho\"]]}" ]
what rivers run through the states that border the state with the capital atlanta <table_name> : river col : river_name | length | country_name | traverse row 1 : mississippi | 3778 | usa | minnesota row 2 : mississippi | 3778 | usa | wisconsin row 3 : mississippi | 3778 | usa | iowa row 4 : mississippi | 3778 | usa | illinois row 5 : mississippi | 3778 | usa | missouri row 6 : mississippi | 3778 | usa | kentucky row 7 : mississippi | 3778 | usa | tennessee row 8 : mississippi | 3778 | usa | arkansas row 9 : mississippi | 3778 | usa | mississippi row 10 : mississippi | 3778 | usa | louisiana row 11 : mississippi | 3778 | usa | louisiana row 12 : missouri | 3968 | usa | montana row 13 : missouri | 3968 | usa | north dakota row 14 : missouri | 3968 | usa | south dakota row 15 : missouri | 3968 | usa | iowa row 16 : missouri | 3968 | usa | nebraska row 17 : missouri | 3968 | usa | missouri row 18 : missouri | 3968 | usa | missouri row 19 : colorado | 2333 | usa | colorado row 20 : colorado | 2333 | usa | utah row 21 : colorado | 2333 | usa | arizona row 22 : colorado | 2333 | usa | nevada row 23 : colorado | 2333 | usa | california row 24 : ohio | 1569 | usa | pennsylvania row 25 : ohio | 1569 | usa | west virginia row 26 : ohio | 1569 | usa | kentucky row 27 : ohio | 1569 | usa | indiana row 28 : ohio | 1569 | usa | illinois row 29 : ohio | 1569 | usa | illinois row 30 : ohio | 1569 | usa | ohio row 31 : red | 1638 | usa | new mexico row 32 : red | 1638 | usa | texas row 33 : red | 1638 | usa | oklahoma row 34 : red | 1638 | usa | arkansas row 35 : red | 1638 | usa | arkansas row 36 : red | 1638 | usa | louisiana row 37 : arkansas | 2333 | usa | colorado row 38 : arkansas | 2333 | usa | kansas row 39 : arkansas | 2333 | usa | oklahoma row 40 : arkansas | 2333 | usa | arkansas row 41 : canadian | 1458 | usa | colorado row 42 : canadian | 1458 | usa | new mexico row 43 : canadian | 1458 | usa | texas row 44 : canadian | 1458 | usa | oklahoma row 45 : connecticut | 655 | usa | new hampshire row 46 : connecticut | 655 | usa | vermont row 47 : connecticut | 655 | usa | massachusetts row 48 : connecticut | 655 | usa | connecticut row 49 : delaware | 451 | usa | new york row 50 : delaware | 451 | usa | pennsylvania row 51 : delaware | 451 | usa | new jersey row 52 : delaware | 451 | usa | delaware row 53 : little missouri | 901 | usa | wyoming row 54 : little missouri | 901 | usa | montana row 55 : little missouri | 901 | usa | south dakota row 56 : little missouri | 901 | usa | north dakota row 57 : snake | 1670 | usa | wyoming row 58 : snake | 1670 | usa | idaho row 59 : snake | 1670 | usa | oregon row 60 : snake | 1670 | usa | washington row 61 : snake | 1670 | usa | washington row 62 : chattahoochee | 702 | usa | georgia row 63 : chattahoochee | 702 | usa | georgia row 64 : chattahoochee | 702 | usa | florida row 65 : cimarron | 965 | usa | new mexico row 66 : cimarron | 965 | usa | kansas row 67 : cimarron | 965 | usa | oklahoma row 68 : green | 1175 | usa | wyoming row 69 : green | 1175 | usa | utah row 70 : green | 1175 | usa | colorado row 71 : green | 1175 | usa | utah row 72 : north platte | 1094 | usa | colorado row 73 : north platte | 1094 | usa | wyoming row 74 : north platte | 1094 | usa | nebraska row 75 : potomac | 462 | usa | west virginia row 76 : potomac | 462 | usa | maryland row 77 : potomac | 462 | usa | virginia row 78 : potomac | 462 | usa | district of columbia row 79 : republican | 679 | usa | colorado row 80 : republican | 679 | usa | nebraska row 81 : republican | 679 | usa | kansas row 82 : rio grande | 3033 | usa | colorado row 83 : rio grande | 3033 | usa | new mexico row 84 : rio grande | 3033 | usa | texas row 85 : san juan | 579 | usa | colorado row 86 : san juan | 579 | usa | new mexico row 87 : san juan | 579 | usa | colorado row 88 : san juan | 579 | usa | utah row 89 : tennessee | 1049 | usa | tennessee row 90 : tennessee | 1049 | usa | alabama row 91 : tennessee | 1049 | usa | tennessee row 92 : tennessee | 1049 | usa | kentucky row 93 : wabash | 764 | usa | ohio row 94 : wabash | 764 | usa | indiana row 95 : wabash | 764 | usa | illinois row 96 : yellowstone | 1080 | usa | wyoming row 97 : yellowstone | 1080 | usa | montana row 98 : yellowstone | 1080 | usa | north dakota row 99 : allegheny | 523 | usa | pennsylvania row 100 : allegheny | 523 | usa | new york row 101 : allegheny | 523 | usa | pennsylvania row 102 : bighorn | 541 | usa | wyoming row 103 : bighorn | 541 | usa | montana row 104 : cheyenne | 848 | usa | wyoming row 105 : cheyenne | 848 | usa | north dakota row 106 : clark fork | 483 | usa | montana row 107 : clark fork | 483 | usa | idaho row 108 : columbia | 1953 | usa | washington row 109 : columbia | 1953 | usa | oregon row 110 : cumberland | 1105 | usa | kentucky row 111 : cumberland | 1105 | usa | tennessee row 112 : cumberland | 1105 | usa | kentucky row 113 : dakota | 1142 | usa | north dakota row 114 : dakota | 1142 | usa | south dakota row 115 : gila | 805 | usa | new mexico row 116 : gila | 805 | usa | arizona row 117 : hudson | 492 | usa | new york row 118 : hudson | 492 | usa | new jersey row 119 : neosho | 740 | usa | kansas row 120 : neosho | 740 | usa | oklahoma row 121 : niobrara | 693 | usa | wyoming row 122 : niobrara | 693 | usa | nebraska row 123 : ouachita | 973 | usa | arkansas row 124 : ouachita | 973 | usa | louisiana row 125 : pearl | 788 | usa | michigan row 126 : pearl | 788 | usa | louisiana row 127 : pecos | 805 | usa | new mexico row 128 : pecos | 805 | usa | texas row 129 : powder | 603 | usa | wyoming row 130 : powder | 603 | usa | montana row 131 : roanoke | 660 | usa | virginia row 132 : roanoke | 660 | usa | north carolina row 133 : rock | 459 | usa | wisconsin row 134 : rock | 459 | usa | illinois row 135 : smoky hill | 869 | usa | colorado row 136 : smoky hill | 869 | usa | kansas row 137 : south platte | 682 | usa | colorado row 138 : south platte | 682 | usa | nebraska row 139 : st. francis | 684 | usa | missouri row 140 : st. francis | 684 | usa | arkansas row 141 : tombigbee | 658 | usa | mississippi row 142 : tombigbee | 658 | usa | alabama row 143 : washita | 805 | usa | texas row 144 : washita | 805 | usa | oklahoma row 145 : wateree catawba | 636 | usa | north carolina row 146 : wateree catawba | 636 | usa | south carolina row 147 : white | 1110 | usa | arkansas row 148 : white | 1110 | usa | missouri row 149 : white | 1110 | usa | arkansas <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318 <table_name> : border_info col : state_name | border row 1 : alabama | tennessee row 2 : alabama | georgia row 3 : alabama | florida row 4 : alabama | mississippi row 5 : arizona | utah row 6 : arizona | colorado row 7 : arizona | new mexico row 8 : arizona | california row 9 : arizona | nevada row 10 : arkansas | missouri row 11 : arkansas | tennessee row 12 : arkansas | mississippi row 13 : arkansas | louisiana row 14 : arkansas | texas row 15 : arkansas | oklahoma row 16 : california | oregon row 17 : california | nevada row 18 : california | arizona row 19 : colorado | nebraska row 20 : colorado | kansas row 21 : colorado | oklahoma row 22 : colorado | new mexico row 23 : colorado | arizona row 24 : colorado | utah row 25 : colorado | wyoming row 26 : connecticut | massachusetts row 27 : connecticut | rhode island row 28 : connecticut | new york row 29 : delaware | pennsylvania row 30 : delaware | new jersey row 31 : delaware | maryland row 32 : district of columbia | maryland row 33 : district of columbia | virginia row 34 : florida | georgia row 35 : florida | alabama row 36 : georgia | north carolina row 37 : georgia | south carolina row 38 : georgia | florida row 39 : georgia | alabama row 40 : georgia | tennessee row 41 : idaho | montana row 42 : idaho | wyoming row 43 : idaho | utah row 44 : idaho | nevada row 45 : idaho | oregon row 46 : idaho | washington row 47 : illinois | wisconsin row 48 : illinois | indiana row 49 : illinois | kentucky row 50 : illinois | missouri row 51 : illinois | iowa row 52 : indiana | michigan row 53 : indiana | ohio row 54 : indiana | kentucky row 55 : indiana | illinois row 56 : iowa | minnesota row 57 : iowa | wisconsin row 58 : iowa | illinois row 59 : iowa | missouri row 60 : iowa | nebraska row 61 : iowa | south dakota row 62 : kansas | nebraska row 63 : kansas | missouri row 64 : kansas | oklahoma row 65 : kansas | colorado row 66 : kentucky | indiana row 67 : kentucky | ohio row 68 : kentucky | west virginia row 69 : kentucky | virginia row 70 : kentucky | tennessee row 71 : kentucky | missouri row 72 : kentucky | illinois row 73 : louisiana | arkansas row 74 : louisiana | mississippi row 75 : louisiana | texas row 76 : maine | new hampshire row 77 : maryland | pennsylvania row 78 : maryland | delaware row 79 : maryland | virginia row 80 : maryland | district of columbia row 81 : maryland | west virginia row 82 : massachusetts | new hampshire row 83 : massachusetts | rhode island row 84 : massachusetts | connecticut row 85 : massachusetts | new york row 86 : massachusetts | vermont row 87 : michigan | ohio row 88 : michigan | indiana row 89 : michigan | wisconsin row 90 : minnesota | wisconsin row 91 : minnesota | iowa row 92 : minnesota | south dakota row 93 : minnesota | north dakota row 94 : mississippi | tennessee row 95 : mississippi | alabama row 96 : mississippi | louisiana row 97 : mississippi | arkansas row 98 : missouri | iowa row 99 : missouri | illinois row 100 : missouri | kentucky row 101 : missouri | tennessee row 102 : missouri | arkansas row 103 : missouri | oklahoma row 104 : missouri | kansas row 105 : missouri | nebraska row 106 : montana | north dakota row 107 : montana | south dakota row 108 : montana | wyoming row 109 : montana | idaho row 110 : nebraska | south dakota row 111 : nebraska | iowa row 112 : nebraska | missouri row 113 : nebraska | kansas row 114 : nebraska | colorado row 115 : nebraska | wyoming row 116 : nevada | idaho row 117 : nevada | utah row 118 : nevada | arizona row 119 : nevada | california row 120 : nevada | oregon row 121 : new hampshire | maine row 122 : new hampshire | massachusetts row 123 : new hampshire | vermont row 124 : new jersey | new york row 125 : new jersey | delaware row 126 : new jersey | pennsylvania row 127 : new mexico | colorado row 128 : new mexico | oklahoma row 129 : new mexico | texas row 130 : new mexico | arizona row 131 : new mexico | utah row 132 : new york | vermont row 133 : new york | massachusetts row 134 : new york | connecticut row 135 : new york | new jersey row 136 : new york | pennsylvania row 137 : north carolina | virginia row 138 : north carolina | south carolina row 139 : north carolina | georgia row 140 : north carolina | tennessee row 141 : north dakota | minnesota row 142 : north dakota | south dakota row 143 : north dakota | montana row 144 : ohio | michigan row 145 : ohio | pennsylvania row 146 : ohio | west virginia row 147 : ohio | kentucky row 148 : ohio | indiana row 149 : oklahoma | kansas row 150 : oklahoma | missouri row 151 : oklahoma | arkansas row 152 : oklahoma | texas row 153 : oklahoma | new mexico row 154 : oklahoma | colorado row 155 : oregon | washington row 156 : oregon | idaho row 157 : oregon | nevada row 158 : oregon | california row 159 : pennsylvania | new york row 160 : pennsylvania | new jersey row 161 : pennsylvania | delaware row 162 : pennsylvania | maryland row 163 : pennsylvania | west virginia row 164 : pennsylvania | ohio row 165 : rhode island | massachusetts row 166 : rhode island | connecticut row 167 : south carolina | north carolina row 168 : south carolina | georgia row 169 : south dakota | north dakota row 170 : south dakota | minnesota row 171 : south dakota | iowa row 172 : south dakota | nebraska row 173 : south dakota | wyoming row 174 : south dakota | montana row 175 : tennessee | kentucky row 176 : tennessee | virginia row 177 : tennessee | north carolina row 178 : tennessee | georgia row 179 : tennessee | alabama row 180 : tennessee | mississippi row 181 : tennessee | arkansas row 182 : tennessee | missouri row 183 : texas | oklahoma row 184 : texas | arkansas row 185 : texas | louisiana row 186 : texas | new mexico row 187 : utah | wyoming row 188 : utah | colorado row 189 : utah | new mexico row 190 : utah | arizona row 191 : utah | nevada row 192 : utah | idaho row 193 : vermont | new hampshire row 194 : vermont | massachusetts row 195 : vermont | new york row 196 : virginia | maryland row 197 : virginia | district of columbia row 198 : virginia | north carolina row 199 : virginia | tennessee row 200 : virginia | kentucky row 201 : virginia | west virginia row 202 : washington | idaho row 203 : washington | oregon row 204 : west virginia | pennsylvania row 205 : west virginia | maryland row 206 : west virginia | virginia row 207 : west virginia | kentucky row 208 : west virginia | ohio row 209 : wisconsin | michigan row 210 : wisconsin | illinois row 211 : wisconsin | iowa row 212 : wisconsin | minnesota row 213 : wyoming | montana row 214 : wyoming | south dakota row 215 : wyoming | nebraska row 216 : wyoming | colorado row 217 : wyoming | utah row 218 : wyoming | idaho
col : river_name row 1 : mississippi row 2 : chattahoochee row 3 : tennessee row 4 : tennessee row 5 : tennessee row 6 : cumberland row 7 : roanoke row 8 : tombigbee row 9 : wateree catawba row 10 : wateree catawba
SELECT highlow.lowest_elevation FROM highlow WHERE highlow.state_name='pennsylvania';
what is the lowest elevation in pennsylvania
{"columns":["lowest_elevation"],"index":[0],"data":[["0"]]}
[ "highlow" ]
[ "{\"columns\":[\"state_name\",\"highest_elevation\",\"lowest_point\",\"highest_point\",\"lowest_elevation\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",\"734\",\"gulf of mexico\",\"cheaha mountain\",\"0\"],[\"alaska\",\"6194\",\"pacific ocean\",\"mount mckinley\",\"0\"],[\"arizona\",\"3851\",\"colorado river\",\"humphreys peak\",\"21\"],[\"arkansas\",\"839\",\"ouachita river\",\"magazine mountain\",\"17\"],[\"california\",\"4418\",\"death valley\",\"mount whitney\",\"-85\"],[\"colorado\",\"4399\",\"arkansas river\",\"mount elbert\",\"1021\"],[\"connecticut\",\"725\",\"long island sound\",\"mount frissell\",\"0\"],[\"delaware\",\"135\",\"atlantic ocean\",\"centerville\",\"0\"],[\"district of columbia\",\"125\",\"potomac river\",\"tenleytown\",\"0\"],[\"florida\",\"105\",\"atlantic ocean\",\"walton county\",\"0\"],[\"georgia\",\"1458\",\"atlantic ocean\",\"brasstown bald\",\"0\"],[\"hawaii\",\"4205\",\"pacific ocean\",\"mauna kea\",\"0\"],[\"idaho\",\"3859\",\"snake river\",\"borah peak\",\"216\"],[\"illinois\",\"376\",\"mississippi river\",\"charles mound\",\"85\"],[\"indiana\",\"383\",\"ohio river\",\"franklin township\",\"98\"],[\"iowa\",\"511\",\"mississippi river\",\"ocheyedan mound\",\"146\"],[\"kansas\",\"1231\",\"verdigris river\",\"mount sunflower\",\"207\"],[\"kentucky\",\"1263\",\"mississippi river\",\"black mountain\",\"78\"],[\"louisiana\",\"163\",\"new orleans\",\"driskill mountain\",\"-1\"],[\"maine\",\"1606\",\"atlantic ocean\",\"mount katahdin\",\"0\"],[\"maryland\",\"1024\",\"atlantic ocean\",\"backbone mountain\",\"0\"],[\"massachusetts\",\"1064\",\"atlantic ocean\",\"mount greylock\",\"0\"],[\"michigan\",\"604\",\"lake erie\",\"mount curwood\",\"174\"],[\"minnesota\",\"701\",\"lake superior\",\"eagle mountain\",\"183\"],[\"mississippi\",\"246\",\"gulf of mexico\",\"woodall mountain\",\"0\"],[\"missouri\",\"540\",\"st. francis river\",\"taum sauk mountain\",\"70\"],[\"montana\",\"3901\",\"kootenai river\",\"granite peak\",\"549\"],[\"nebraska\",\"1654\",\"southeast corner\",\"johnson township\",\"256\"],[\"nevada\",\"4005\",\"colorado river\",\"boundary peak\",\"143\"],[\"new hampshire\",\"1917\",\"atlantic ocean\",\"mount washington\",\"0\"],[\"new jersey\",\"550\",\"atlantic ocean\",\"high point\",\"0\"],[\"new mexico\",\"4011\",\"red bluff reservoir\",\"wheeler peak\",\"859\"],[\"new york\",\"1629\",\"atlantic ocean\",\"mount marcy\",\"0\"],[\"north carolina\",\"2037\",\"atlantic ocean\",\"mount mitchell\",\"0\"],[\"north dakota\",\"1069\",\"red river\",\"white butte\",\"229\"],[\"ohio\",\"472\",\"ohio river\",\"campbell hill\",\"132\"],[\"oklahoma\",\"1516\",\"little river\",\"black mesa\",\"87\"],[\"oregon\",\"3424\",\"pacific ocean\",\"mount hood\",\"0\"],[\"pennsylvania\",\"979\",\"delaware river\",\"mount davis\",\"0\"],[\"rhode island\",\"247\",\"atlantic ocean\",\"jerimoth hill\",\"0\"],[\"south carolina\",\"1085\",\"atlantic ocean\",\"sassafras mountain\",\"0\"],[\"south dakota\",\"2207\",\"big stone lake\",\"harney peak\",\"284\"],[\"tennessee\",\"2025\",\"mississippi river\",\"clingmans dome\",\"55\"],[\"texas\",\"2667\",\"gulf of mexico\",\"guadalupe peak\",\"0\"],[\"utah\",\"4123\",\"beaver dam creek\",\"kings peak\",\"610\"],[\"vermont\",\"1339\",\"lake champlain\",\"mount mansfield\",\"29\"],[\"virginia\",\"1746\",\"atlantic ocean\",\"mount rogers\",\"0\"],[\"washington\",\"4392\",\"pacific ocean\",\"mount rainier\",\"0\"],[\"west virginia\",\"1482\",\"potomac river\",\"spruce knob\",\"73\"],[\"wisconsin\",\"595\",\"lake michigan\",\"timms hill\",\"177\"],[\"wyoming\",\"4202\",\"belle fourche river\",\"gannett peak\",\"945\"]]}" ]
what is the lowest elevation in pennsylvania <table_name> : highlow col : state_name | highest_elevation | lowest_point | highest_point | lowest_elevation row 1 : alabama | 734 | gulf of mexico | cheaha mountain | 0 row 2 : alaska | 6194 | pacific ocean | mount mckinley | 0 row 3 : arizona | 3851 | colorado river | humphreys peak | 21 row 4 : arkansas | 839 | ouachita river | magazine mountain | 17 row 5 : california | 4418 | death valley | mount whitney | -85 row 6 : colorado | 4399 | arkansas river | mount elbert | 1021 row 7 : connecticut | 725 | long island sound | mount frissell | 0 row 8 : delaware | 135 | atlantic ocean | centerville | 0 row 9 : district of columbia | 125 | potomac river | tenleytown | 0 row 10 : florida | 105 | atlantic ocean | walton county | 0 row 11 : georgia | 1458 | atlantic ocean | brasstown bald | 0 row 12 : hawaii | 4205 | pacific ocean | mauna kea | 0 row 13 : idaho | 3859 | snake river | borah peak | 216 row 14 : illinois | 376 | mississippi river | charles mound | 85 row 15 : indiana | 383 | ohio river | franklin township | 98 row 16 : iowa | 511 | mississippi river | ocheyedan mound | 146 row 17 : kansas | 1231 | verdigris river | mount sunflower | 207 row 18 : kentucky | 1263 | mississippi river | black mountain | 78 row 19 : louisiana | 163 | new orleans | driskill mountain | -1 row 20 : maine | 1606 | atlantic ocean | mount katahdin | 0 row 21 : maryland | 1024 | atlantic ocean | backbone mountain | 0 row 22 : massachusetts | 1064 | atlantic ocean | mount greylock | 0 row 23 : michigan | 604 | lake erie | mount curwood | 174 row 24 : minnesota | 701 | lake superior | eagle mountain | 183 row 25 : mississippi | 246 | gulf of mexico | woodall mountain | 0 row 26 : missouri | 540 | st. francis river | taum sauk mountain | 70 row 27 : montana | 3901 | kootenai river | granite peak | 549 row 28 : nebraska | 1654 | southeast corner | johnson township | 256 row 29 : nevada | 4005 | colorado river | boundary peak | 143 row 30 : new hampshire | 1917 | atlantic ocean | mount washington | 0 row 31 : new jersey | 550 | atlantic ocean | high point | 0 row 32 : new mexico | 4011 | red bluff reservoir | wheeler peak | 859 row 33 : new york | 1629 | atlantic ocean | mount marcy | 0 row 34 : north carolina | 2037 | atlantic ocean | mount mitchell | 0 row 35 : north dakota | 1069 | red river | white butte | 229 row 36 : ohio | 472 | ohio river | campbell hill | 132 row 37 : oklahoma | 1516 | little river | black mesa | 87 row 38 : oregon | 3424 | pacific ocean | mount hood | 0 row 39 : pennsylvania | 979 | delaware river | mount davis | 0 row 40 : rhode island | 247 | atlantic ocean | jerimoth hill | 0 row 41 : south carolina | 1085 | atlantic ocean | sassafras mountain | 0 row 42 : south dakota | 2207 | big stone lake | harney peak | 284 row 43 : tennessee | 2025 | mississippi river | clingmans dome | 55 row 44 : texas | 2667 | gulf of mexico | guadalupe peak | 0 row 45 : utah | 4123 | beaver dam creek | kings peak | 610 row 46 : vermont | 1339 | lake champlain | mount mansfield | 29 row 47 : virginia | 1746 | atlantic ocean | mount rogers | 0 row 48 : washington | 4392 | pacific ocean | mount rainier | 0 row 49 : west virginia | 1482 | potomac river | spruce knob | 73 row 50 : wisconsin | 595 | lake michigan | timms hill | 177 row 51 : wyoming | 4202 | belle fourche river | gannett peak | 945
col : lowest_elevation row 1 : 0
SELECT city.state_name FROM city WHERE city.city_name='denver';
which state is the city denver located in
{"columns":["state_name"],"index":[0],"data":[["colorado"]]}
[ "city" ]
[ 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which state is the city denver located in <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : state_name row 1 : colorado
SELECT state.population FROM state WHERE state.state_name='new hampshire';
how many people live in new hampshire
{"columns":["population"],"index":[0],"data":[[920600]]}
[ "state" ]
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how many people live in new hampshire <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : population row 1 : 920600
SELECT count(city.city_name) FROM city WHERE city.state_name='louisiana';
how many cities are in louisiana
{"columns":["count(city.city_name)"],"index":[0],"data":[[8]]}
[ "city" ]
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paul\",270230,\"usa\",\"minnesota\"],[\"duluth\",92811,\"usa\",\"minnesota\"],[\"bloomington\",81831,\"usa\",\"minnesota\"],[\"rochester\",57906,\"usa\",\"minnesota\"],[\"jackson\",202895,\"usa\",\"mississippi\"],[\"st. louis\",453085,\"usa\",\"missouri\"],[\"kansas city\",448159,\"usa\",\"missouri\"],[\"springfield\",133116,\"usa\",\"missouri\"],[\"independence\",111797,\"usa\",\"missouri\"],[\"st. joseph\",76691,\"usa\",\"missouri\"],[\"columbia\",62061,\"usa\",\"missouri\"],[\"billings\",66842,\"usa\",\"montana\"],[\"great falls\",56725,\"usa\",\"montana\"],[\"omaha\",314255,\"usa\",\"nebraska\"],[\"lincoln\",171932,\"usa\",\"nebraska\"],[\"las vegas\",164674,\"usa\",\"nevada\"],[\"reno\",100756,\"usa\",\"nevada\"],[\"manchester\",90936,\"usa\",\"new hampshire\"],[\"nashua\",67865,\"usa\",\"new hampshire\"],[\"newark\",329248,\"usa\",\"new jersey\"],[\"jersey city\",223532,\"usa\",\"new jersey\"],[\"paterson\",137970,\"usa\",\"new jersey\"],[\"elizabeth\",106201,\"usa\",\"new jersey\"],[\"trenton\",92124,\"usa\",\"new jersey\"],[\"woodbridge\",90074,\"usa\",\"new jersey\"],[\"camden\",84910,\"usa\",\"new jersey\"],[\"east orange\",77878,\"usa\",\"new jersey\"],[\"clifton\",74388,\"usa\",\"new jersey\"],[\"edison\",70193,\"usa\",\"new jersey\"],[\"cherry hill\",68785,\"usa\",\"new jersey\"],[\"bayonne\",65047,\"usa\",\"new jersey\"],[\"middletown\",61615,\"usa\",\"new jersey\"],[\"irvington\",61493,\"usa\",\"new jersey\"],[\"albuquerque\",331767,\"usa\",\"new mexico\"],[\"new york\",7071639,\"usa\",\"new york\"],[\"buffalo\",357870,\"usa\",\"new york\"],[\"rochester\",241741,\"usa\",\"new york\"],[\"yonkers\",195351,\"usa\",\"new york\"],[\"syracuse\",170105,\"usa\",\"new york\"],[\"albany\",101727,\"usa\",\"new york\"],[\"cheektowaga\",92145,\"usa\",\"new york\"],[\"utica\",75632,\"usa\",\"new york\"],[\"niagara falls\",71384,\"usa\",\"new york\"],[\"new rochelle\",70794,\"usa\",\"new york\"],[\"schenectady\",67972,\"usa\",\"new york\"],[\"mount vernon\",66713,\"usa\",\"new york\"],[\"irondequoit\",57648,\"usa\",\"new york\"],[\"levittown\",57045,\"usa\",\"new york\"],[\"charlotte\",314447,\"usa\",\"north carolina\"],[\"greensboro\",155642,\"usa\",\"north carolina\"],[\"raleigh\",149771,\"usa\",\"north carolina\"],[\"winston-salem\",131885,\"usa\",\"north carolina\"],[\"durham\",100538,\"usa\",\"north carolina\"],[\"high point\",64107,\"usa\",\"north carolina\"],[\"fayetteville\",59507,\"usa\",\"north carolina\"],[\"fargo\",61308,\"usa\",\"north dakota\"],[\"cleveland\",573822,\"usa\",\"ohio\"],[\"columbus\",564871,\"usa\",\"ohio\"],[\"cincinnati\",385457,\"usa\",\"ohio\"],[\"toledo\",354635,\"usa\",\"ohio\"],[\"akron\",237177,\"usa\",\"ohio\"],[\"dayton\",203371,\"usa\",\"ohio\"],[\"youngstown\",115436,\"usa\",\"ohio\"],[\"canton\",93077,\"usa\",\"ohio\"],[\"parma\",92548,\"usa\",\"ohio\"],[\"lorain\",75416,\"usa\",\"ohio\"],[\"springfield\",72563,\"usa\",\"ohio\"],[\"hamilton\",63189,\"usa\",\"ohio\"],[\"lakewood\",61963,\"usa\",\"ohio\"],[\"kettering\",61186,\"usa\",\"ohio\"],[\"euclid\",59999,\"usa\",\"ohio\"],[\"elyria\",57504,\"usa\",\"ohio\"],[\"oklahoma city\",403213,\"usa\",\"oklahoma\"],[\"tulsa\",360919,\"usa\",\"oklahoma\"],[\"lawton\",80054,\"usa\",\"oklahoma\"],[\"norman\",68020,\"usa\",\"oklahoma\"],[\"portland\",366383,\"usa\",\"oregon\"],[\"eugene\",105664,\"usa\",\"oregon\"],[\"salem\",89233,\"usa\",\"oregon\"],[\"philadelphia\",1688210,\"usa\",\"pennsylvania\"],[\"pittsburgh\",423938,\"usa\",\"pennsylvania\"],[\"erie\",119123,\"usa\",\"pennsylvania\"],[\"allentown\",103758,\"usa\",\"pennsylvania\"],[\"scranton\",88117,\"usa\",\"pennsylvania\"],[\"upper darby\",84054,\"usa\",\"pennsylvania\"],[\"reading\",78686,\"usa\",\"pennsylvania\"],[\"bethlehem\",70419,\"usa\",\"pennsylvania\"],[\"lower merion\",59651,\"usa\",\"pennsylvania\"],[\"abingdon\",59084,\"usa\",\"pennsylvania\"],[\"bristol township\",58733,\"usa\",\"pennsylvania\"],[\"penn hills\",57632,\"usa\",\"pennsylvania\"],[\"altoona\",57078,\"usa\",\"pennsylvania\"],[\"providence\",156804,\"usa\",\"rhode island\"],[\"warwick\",87123,\"usa\",\"rhode island\"],[\"cranston\",71992,\"usa\",\"rhode island\"],[\"pawtucket\",71204,\"usa\",\"rhode island\"],[\"columbia\",101229,\"usa\",\"south carolina\"],[\"charleston\",69855,\"usa\",\"south carolina\"],[\"north charleston\",62504,\"usa\",\"south carolina\"],[\"greenville\",58242,\"usa\",\"south carolina\"],[\"sioux falls\",81343,\"usa\",\"south dakota\"],[\"memphis\",646356,\"usa\",\"tennessee\"],[\"nashville\",455651,\"usa\",\"tennessee\"],[\"knoxville\",175030,\"usa\",\"tennessee\"],[\"chattanooga\",169728,\"usa\",\"tennessee\"],[\"houston\",1595138,\"usa\",\"texas\"],[\"dallas\",904078,\"usa\",\"texas\"],[\"san antonio\",785880,\"usa\",\"texas\"],[\"el paso\",425259,\"usa\",\"texas\"],[\"fort worth\",385164,\"usa\",\"texas\"],[\"austin\",345496,\"usa\",\"texas\"],[\"corpus christi\",231999,\"usa\",\"texas\"],[\"lubbock\",173979,\"usa\",\"texas\"],[\"arlington\",160123,\"usa\",\"texas\"],[\"amarillo\",149230,\"usa\",\"texas\"],[\"garland\",138857,\"usa\",\"texas\"],[\"beaumont\",118102,\"usa\",\"texas\"],[\"pasadena\",112560,\"usa\",\"texas\"],[\"irving\",109943,\"usa\",\"texas\"],[\"waco\",101261,\"usa\",\"texas\"],[\"abilene\",98315,\"usa\",\"texas\"],[\"wichita falls\",94201,\"usa\",\"texas\"],[\"laredo\",91449,\"usa\",\"texas\"],[\"odessa\",90027,\"usa\",\"texas\"],[\"brownsville\",84997,\"usa\",\"texas\"],[\"san angelo\",73240,\"usa\",\"texas\"],[\"richardson\",72496,\"usa\",\"texas\"],[\"plano\",72331,\"usa\",\"texas\"],[\"grand prairie\",71462,\"usa\",\"texas\"],[\"midland\",70525,\"usa\",\"texas\"],[\"tyler\",70508,\"usa\",\"texas\"],[\"mesquite\",67053,\"usa\",\"texas\"],[\"mcallen\",67042,\"usa\",\"texas\"],[\"longview\",62762,\"usa\",\"texas\"],[\"port arthur\",61195,\"usa\",\"texas\"],[\"salt lake city\",163034,\"usa\",\"utah\"],[\"provo\",74111,\"usa\",\"utah\"],[\"west valley\",72299,\"usa\",\"utah\"],[\"ogden\",64407,\"usa\",\"utah\"],[\"norfolk\",266979,\"usa\",\"virginia\"],[\"virginia beach\",262199,\"usa\",\"virginia\"],[\"richmond\",219214,\"usa\",\"virginia\"],[\"arlington\",152599,\"usa\",\"virginia\"],[\"newport news\",144903,\"usa\",\"virginia\"],[\"hampton\",122617,\"usa\",\"virginia\"],[\"chesapeake\",114226,\"usa\",\"virginia\"],[\"portsmouth\",104577,\"usa\",\"virginia\"],[\"alexandria\",103217,\"usa\",\"virginia\"],[\"roanoke\",100427,\"usa\",\"virginia\"],[\"lynchburg\",66743,\"usa\",\"virginia\"],[\"seattle\",493846,\"usa\",\"washington\"],[\"spokane\",171300,\"usa\",\"washington\"],[\"tacoma\",158501,\"usa\",\"washington\"],[\"bellevue\",73903,\"usa\",\"washington\"],[\"charleston\",63968,\"usa\",\"west virginia\"],[\"huntington\",63684,\"usa\",\"west virginia\"],[\"milwaukee\",636212,\"usa\",\"wisconsin\"],[\"madison\",170616,\"usa\",\"wisconsin\"],[\"green bay\",87899,\"usa\",\"wisconsin\"],[\"racine\",85725,\"usa\",\"wisconsin\"],[\"kenosha\",77685,\"usa\",\"wisconsin\"],[\"west allis\",63982,\"usa\",\"wisconsin\"],[\"appleton\",58913,\"usa\",\"wisconsin\"],[\"casper\",51016,\"usa\",\"wyoming\"]]}" ]
how many cities are in louisiana <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : count(city.city_name) row 1 : 8
SELECT count(river.river_name) FROM river WHERE river.traverse='texas' AND river.length > all(SELECT river.length FROM river WHERE river.river_name='red');
how many rivers in texas are longer than the red
{"columns":["count(river.river_name)"],"index":[0],"data":[[1]]}
[ "river" ]
[ "{\"columns\":[\"river_name\",\"length\",\"country_name\",\"traverse\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148],\"data\":[[\"mississippi\",3778,\"usa\",\"minnesota\"],[\"mississippi\",3778,\"usa\",\"wisconsin\"],[\"mississippi\",3778,\"usa\",\"iowa\"],[\"mississippi\",3778,\"usa\",\"illinois\"],[\"mississippi\",3778,\"usa\",\"missouri\"],[\"mississippi\",3778,\"usa\",\"kentucky\"],[\"mississippi\",3778,\"usa\",\"tennessee\"],[\"mississippi\",3778,\"usa\",\"arkansas\"],[\"mississippi\",3778,\"usa\",\"mississippi\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"missouri\",3968,\"usa\",\"montana\"],[\"missouri\",3968,\"usa\",\"north dakota\"],[\"missouri\",3968,\"usa\",\"south dakota\"],[\"missouri\",3968,\"usa\",\"iowa\"],[\"missouri\",3968,\"usa\",\"nebraska\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"colorado\",2333,\"usa\",\"colorado\"],[\"colorado\",2333,\"usa\",\"utah\"],[\"colorado\",2333,\"usa\",\"arizona\"],[\"colorado\",2333,\"usa\",\"nevada\"],[\"colorado\",2333,\"usa\",\"california\"],[\"ohio\",1569,\"usa\",\"pennsylvania\"],[\"ohio\",1569,\"usa\",\"west virginia\"],[\"ohio\",1569,\"usa\",\"kentucky\"],[\"ohio\",1569,\"usa\",\"indiana\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"ohio\"],[\"red\",1638,\"usa\",\"new mexico\"],[\"red\",1638,\"usa\",\"texas\"],[\"red\",1638,\"usa\",\"oklahoma\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"louisiana\"],[\"arkansas\",2333,\"usa\",\"colorado\"],[\"arkansas\",2333,\"usa\",\"kansas\"],[\"arkansas\",2333,\"usa\",\"oklahoma\"],[\"arkansas\",2333,\"usa\",\"arkansas\"],[\"canadian\",1458,\"usa\",\"colorado\"],[\"canadian\",1458,\"usa\",\"new mexico\"],[\"canadian\",1458,\"usa\",\"texas\"],[\"canadian\",1458,\"usa\",\"oklahoma\"],[\"connecticut\",655,\"usa\",\"new hampshire\"],[\"connecticut\",655,\"usa\",\"vermont\"],[\"connecticut\",655,\"usa\",\"massachusetts\"],[\"connecticut\",655,\"usa\",\"connecticut\"],[\"delaware\",451,\"usa\",\"new york\"],[\"delaware\",451,\"usa\",\"pennsylvania\"],[\"delaware\",451,\"usa\",\"new jersey\"],[\"delaware\",451,\"usa\",\"delaware\"],[\"little missouri\",901,\"usa\",\"wyoming\"],[\"little missouri\",901,\"usa\",\"montana\"],[\"little missouri\",901,\"usa\",\"south dakota\"],[\"little missouri\",901,\"usa\",\"north dakota\"],[\"snake\",1670,\"usa\",\"wyoming\"],[\"snake\",1670,\"usa\",\"idaho\"],[\"snake\",1670,\"usa\",\"oregon\"],[\"snake\",1670,\"usa\",\"washington\"],[\"snake\",1670,\"usa\",\"washington\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"florida\"],[\"cimarron\",965,\"usa\",\"new mexico\"],[\"cimarron\",965,\"usa\",\"kansas\"],[\"cimarron\",965,\"usa\",\"oklahoma\"],[\"green\",1175,\"usa\",\"wyoming\"],[\"green\",1175,\"usa\",\"utah\"],[\"green\",1175,\"usa\",\"colorado\"],[\"green\",1175,\"usa\",\"utah\"],[\"north platte\",1094,\"usa\",\"colorado\"],[\"north platte\",1094,\"usa\",\"wyoming\"],[\"north platte\",1094,\"usa\",\"nebraska\"],[\"potomac\",462,\"usa\",\"west virginia\"],[\"potomac\",462,\"usa\",\"maryland\"],[\"potomac\",462,\"usa\",\"virginia\"],[\"potomac\",462,\"usa\",\"district of columbia\"],[\"republican\",679,\"usa\",\"colorado\"],[\"republican\",679,\"usa\",\"nebraska\"],[\"republican\",679,\"usa\",\"kansas\"],[\"rio grande\",3033,\"usa\",\"colorado\"],[\"rio grande\",3033,\"usa\",\"new mexico\"],[\"rio grande\",3033,\"usa\",\"texas\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"new mexico\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"utah\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"alabama\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"kentucky\"],[\"wabash\",764,\"usa\",\"ohio\"],[\"wabash\",764,\"usa\",\"indiana\"],[\"wabash\",764,\"usa\",\"illinois\"],[\"yellowstone\",1080,\"usa\",\"wyoming\"],[\"yellowstone\",1080,\"usa\",\"montana\"],[\"yellowstone\",1080,\"usa\",\"north dakota\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"allegheny\",523,\"usa\",\"new york\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"bighorn\",541,\"usa\",\"wyoming\"],[\"bighorn\",541,\"usa\",\"montana\"],[\"cheyenne\",848,\"usa\",\"wyoming\"],[\"cheyenne\",848,\"usa\",\"north dakota\"],[\"clark fork\",483,\"usa\",\"montana\"],[\"clark fork\",483,\"usa\",\"idaho\"],[\"columbia\",1953,\"usa\",\"washington\"],[\"columbia\",1953,\"usa\",\"oregon\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"cumberland\",1105,\"usa\",\"tennessee\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"dakota\",1142,\"usa\",\"north dakota\"],[\"dakota\",1142,\"usa\",\"south dakota\"],[\"gila\",805,\"usa\",\"new mexico\"],[\"gila\",805,\"usa\",\"arizona\"],[\"hudson\",492,\"usa\",\"new york\"],[\"hudson\",492,\"usa\",\"new jersey\"],[\"neosho\",740,\"usa\",\"kansas\"],[\"neosho\",740,\"usa\",\"oklahoma\"],[\"niobrara\",693,\"usa\",\"wyoming\"],[\"niobrara\",693,\"usa\",\"nebraska\"],[\"ouachita\",973,\"usa\",\"arkansas\"],[\"ouachita\",973,\"usa\",\"louisiana\"],[\"pearl\",788,\"usa\",\"michigan\"],[\"pearl\",788,\"usa\",\"louisiana\"],[\"pecos\",805,\"usa\",\"new mexico\"],[\"pecos\",805,\"usa\",\"texas\"],[\"powder\",603,\"usa\",\"wyoming\"],[\"powder\",603,\"usa\",\"montana\"],[\"roanoke\",660,\"usa\",\"virginia\"],[\"roanoke\",660,\"usa\",\"north carolina\"],[\"rock\",459,\"usa\",\"wisconsin\"],[\"rock\",459,\"usa\",\"illinois\"],[\"smoky hill\",869,\"usa\",\"colorado\"],[\"smoky hill\",869,\"usa\",\"kansas\"],[\"south platte\",682,\"usa\",\"colorado\"],[\"south platte\",682,\"usa\",\"nebraska\"],[\"st. francis\",684,\"usa\",\"missouri\"],[\"st. francis\",684,\"usa\",\"arkansas\"],[\"tombigbee\",658,\"usa\",\"mississippi\"],[\"tombigbee\",658,\"usa\",\"alabama\"],[\"washita\",805,\"usa\",\"texas\"],[\"washita\",805,\"usa\",\"oklahoma\"],[\"wateree catawba\",636,\"usa\",\"north carolina\"],[\"wateree catawba\",636,\"usa\",\"south carolina\"],[\"white\",1110,\"usa\",\"arkansas\"],[\"white\",1110,\"usa\",\"missouri\"],[\"white\",1110,\"usa\",\"arkansas\"]]}" ]
how many rivers in texas are longer than the red <table_name> : river col : river_name | length | country_name | traverse row 1 : mississippi | 3778 | usa | minnesota row 2 : mississippi | 3778 | usa | wisconsin row 3 : mississippi | 3778 | usa | iowa row 4 : mississippi | 3778 | usa | illinois row 5 : mississippi | 3778 | usa | missouri row 6 : mississippi | 3778 | usa | kentucky row 7 : mississippi | 3778 | usa | tennessee row 8 : mississippi | 3778 | usa | arkansas row 9 : mississippi | 3778 | usa | mississippi row 10 : mississippi | 3778 | usa | louisiana row 11 : mississippi | 3778 | usa | louisiana row 12 : missouri | 3968 | usa | montana row 13 : missouri | 3968 | usa | north dakota row 14 : missouri | 3968 | usa | south dakota row 15 : missouri | 3968 | usa | iowa row 16 : missouri | 3968 | usa | nebraska row 17 : missouri | 3968 | usa | missouri row 18 : missouri | 3968 | usa | missouri row 19 : colorado | 2333 | usa | colorado row 20 : colorado | 2333 | usa | utah row 21 : colorado | 2333 | usa | arizona row 22 : colorado | 2333 | usa | nevada row 23 : colorado | 2333 | usa | california row 24 : ohio | 1569 | usa | pennsylvania row 25 : ohio | 1569 | usa | west virginia row 26 : ohio | 1569 | usa | kentucky row 27 : ohio | 1569 | usa | indiana row 28 : ohio | 1569 | usa | illinois row 29 : ohio | 1569 | usa | illinois row 30 : ohio | 1569 | usa | ohio row 31 : red | 1638 | usa | new mexico row 32 : red | 1638 | usa | texas row 33 : red | 1638 | usa | oklahoma row 34 : red | 1638 | usa | arkansas row 35 : red | 1638 | usa | arkansas row 36 : red | 1638 | usa | louisiana row 37 : arkansas | 2333 | usa | colorado row 38 : arkansas | 2333 | usa | kansas row 39 : arkansas | 2333 | usa | oklahoma row 40 : arkansas | 2333 | usa | arkansas row 41 : canadian | 1458 | usa | colorado row 42 : canadian | 1458 | usa | new mexico row 43 : canadian | 1458 | usa | texas row 44 : canadian | 1458 | usa | oklahoma row 45 : connecticut | 655 | usa | new hampshire row 46 : connecticut | 655 | usa | vermont row 47 : connecticut | 655 | usa | massachusetts row 48 : connecticut | 655 | usa | connecticut row 49 : delaware | 451 | usa | new york row 50 : delaware | 451 | usa | pennsylvania row 51 : delaware | 451 | usa | new jersey row 52 : delaware | 451 | usa | delaware row 53 : little missouri | 901 | usa | wyoming row 54 : little missouri | 901 | usa | montana row 55 : little missouri | 901 | usa | south dakota row 56 : little missouri | 901 | usa | north dakota row 57 : snake | 1670 | usa | wyoming row 58 : snake | 1670 | usa | idaho row 59 : snake | 1670 | usa | oregon row 60 : snake | 1670 | usa | washington row 61 : snake | 1670 | usa | washington row 62 : chattahoochee | 702 | usa | georgia row 63 : chattahoochee | 702 | usa | georgia row 64 : chattahoochee | 702 | usa | florida row 65 : cimarron | 965 | usa | new mexico row 66 : cimarron | 965 | usa | kansas row 67 : cimarron | 965 | usa | oklahoma row 68 : green | 1175 | usa | wyoming row 69 : green | 1175 | usa | utah row 70 : green | 1175 | usa | colorado row 71 : green | 1175 | usa | utah row 72 : north platte | 1094 | usa | colorado row 73 : north platte | 1094 | usa | wyoming row 74 : north platte | 1094 | usa | nebraska row 75 : potomac | 462 | usa | west virginia row 76 : potomac | 462 | usa | maryland row 77 : potomac | 462 | usa | virginia row 78 : potomac | 462 | usa | district of columbia row 79 : republican | 679 | usa | colorado row 80 : republican | 679 | usa | nebraska row 81 : republican | 679 | usa | kansas row 82 : rio grande | 3033 | usa | colorado row 83 : rio grande | 3033 | usa | new mexico row 84 : rio grande | 3033 | usa | texas row 85 : san juan | 579 | usa | colorado row 86 : san juan | 579 | usa | new mexico row 87 : san juan | 579 | usa | colorado row 88 : san juan | 579 | usa | utah row 89 : tennessee | 1049 | usa | tennessee row 90 : tennessee | 1049 | usa | alabama row 91 : tennessee | 1049 | usa | tennessee row 92 : tennessee | 1049 | usa | kentucky row 93 : wabash | 764 | usa | ohio row 94 : wabash | 764 | usa | indiana row 95 : wabash | 764 | usa | illinois row 96 : yellowstone | 1080 | usa | wyoming row 97 : yellowstone | 1080 | usa | montana row 98 : yellowstone | 1080 | usa | north dakota row 99 : allegheny | 523 | usa | pennsylvania row 100 : allegheny | 523 | usa | new york row 101 : allegheny | 523 | usa | pennsylvania row 102 : bighorn | 541 | usa | wyoming row 103 : bighorn | 541 | usa | montana row 104 : cheyenne | 848 | usa | wyoming row 105 : cheyenne | 848 | usa | north dakota row 106 : clark fork | 483 | usa | montana row 107 : clark fork | 483 | usa | idaho row 108 : columbia | 1953 | usa | washington row 109 : columbia | 1953 | usa | oregon row 110 : cumberland | 1105 | usa | kentucky row 111 : cumberland | 1105 | usa | tennessee row 112 : cumberland | 1105 | usa | kentucky row 113 : dakota | 1142 | usa | north dakota row 114 : dakota | 1142 | usa | south dakota row 115 : gila | 805 | usa | new mexico row 116 : gila | 805 | usa | arizona row 117 : hudson | 492 | usa | new york row 118 : hudson | 492 | usa | new jersey row 119 : neosho | 740 | usa | kansas row 120 : neosho | 740 | usa | oklahoma row 121 : niobrara | 693 | usa | wyoming row 122 : niobrara | 693 | usa | nebraska row 123 : ouachita | 973 | usa | arkansas row 124 : ouachita | 973 | usa | louisiana row 125 : pearl | 788 | usa | michigan row 126 : pearl | 788 | usa | louisiana row 127 : pecos | 805 | usa | new mexico row 128 : pecos | 805 | usa | texas row 129 : powder | 603 | usa | wyoming row 130 : powder | 603 | usa | montana row 131 : roanoke | 660 | usa | virginia row 132 : roanoke | 660 | usa | north carolina row 133 : rock | 459 | usa | wisconsin row 134 : rock | 459 | usa | illinois row 135 : smoky hill | 869 | usa | colorado row 136 : smoky hill | 869 | usa | kansas row 137 : south platte | 682 | usa | colorado row 138 : south platte | 682 | usa | nebraska row 139 : st. francis | 684 | usa | missouri row 140 : st. francis | 684 | usa | arkansas row 141 : tombigbee | 658 | usa | mississippi row 142 : tombigbee | 658 | usa | alabama row 143 : washita | 805 | usa | texas row 144 : washita | 805 | usa | oklahoma row 145 : wateree catawba | 636 | usa | north carolina row 146 : wateree catawba | 636 | usa | south carolina row 147 : white | 1110 | usa | arkansas row 148 : white | 1110 | usa | missouri row 149 : white | 1110 | usa | arkansas
col : count(river.river_name) row 1 : 1
SELECT state.density FROM state WHERE state.area=(SELECT min(state.area) FROM state);
what is the population density of the smallest state
{"columns":["density"],"index":[0],"data":[[580.0]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what is the population density of the smallest state <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : density row 1 : 580
SELECT mountain.mountain_name FROM mountain WHERE mountain.mountain_altitude=(SELECT max(mountain.mountain_altitude) FROM mountain);
what is the tallest mountain in the united states
{"columns":["mountain_name"],"index":[0],"data":[["mckinley"]]}
[ "mountain" ]
[ "{\"columns\":[\"mountain_name\",\"mountain_altitude\",\"country_name\",\"state_name\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49],\"data\":[[\"mckinley\",6194,\"usa\",\"alaska\"],[\"st. elias\",5489,\"usa\",\"alaska\"],[\"foraker\",5304,\"usa\",\"alaska\"],[\"bona\",5044,\"usa\",\"alaska\"],[\"blackburn\",4996,\"usa\",\"alaska\"],[\"kennedy\",4964,\"usa\",\"alaska\"],[\"sanford\",4949,\"usa\",\"alaska\"],[\"south buttress\",4842,\"usa\",\"alaska\"],[\"vancouver\",4785,\"usa\",\"alaska\"],[\"churchill\",4766,\"usa\",\"alaska\"],[\"fairweather\",4663,\"usa\",\"alaska\"],[\"hubbard\",4577,\"usa\",\"alaska\"],[\"bear\",4520,\"usa\",\"alaska\"],[\"east buttress\",4490,\"usa\",\"alaska\"],[\"hunter\",4442,\"usa\",\"alaska\"],[\"alverstone\",4439,\"usa\",\"alaska\"],[\"browne tower\",4429,\"usa\",\"alaska\"],[\"wrangell\",4317,\"usa\",\"alaska\"],[\"whitney\",4418,\"usa\",\"california\"],[\"williamson\",4382,\"usa\",\"california\"],[\"white\",4342,\"usa\",\"california\"],[\"north palisade\",4341,\"usa\",\"california\"],[\"shasta\",4317,\"usa\",\"california\"],[\"sill\",4317,\"usa\",\"california\"],[\"elbert\",4399,\"usa\",\"colorado\"],[\"massive\",4396,\"usa\",\"colorado\"],[\"harvard\",4395,\"usa\",\"colorado\"],[\"bianca\",4372,\"usa\",\"colorado\"],[\"la plata\",4370,\"usa\",\"colorado\"],[\"uncompahgre\",4361,\"usa\",\"colorado\"],[\"crestone\",4357,\"usa\",\"colorado\"],[\"lincoln\",4354,\"usa\",\"colorado\"],[\"grays\",4349,\"usa\",\"colorado\"],[\"antero\",4349,\"usa\",\"colorado\"],[\"torreys\",4349,\"usa\",\"colorado\"],[\"castle\",4348,\"usa\",\"colorado\"],[\"quandary\",4348,\"usa\",\"colorado\"],[\"evans\",4348,\"usa\",\"colorado\"],[\"longs\",4345,\"usa\",\"colorado\"],[\"wilson\",4342,\"usa\",\"colorado\"],[\"shavano\",4337,\"usa\",\"colorado\"],[\"belford\",4327,\"usa\",\"colorado\"],[\"princeton\",4327,\"usa\",\"colorado\"],[\"crestone needle\",4327,\"usa\",\"colorado\"],[\"yale\",4327,\"usa\",\"colorado\"],[\"bross\",4320,\"usa\",\"colorado\"],[\"kit carson\",4317,\"usa\",\"colorado\"],[\"el diente\",4316,\"usa\",\"colorado\"],[\"maroon\",4315,\"usa\",\"colorado\"],[\"rainier\",4392,\"usa\",\"washington\"]]}" ]
what is the tallest mountain in the united states <table_name> : mountain col : mountain_name | mountain_altitude | country_name | state_name row 1 : mckinley | 6194 | usa | alaska row 2 : st. elias | 5489 | usa | alaska row 3 : foraker | 5304 | usa | alaska row 4 : bona | 5044 | usa | alaska row 5 : blackburn | 4996 | usa | alaska row 6 : kennedy | 4964 | usa | alaska row 7 : sanford | 4949 | usa | alaska row 8 : south buttress | 4842 | usa | alaska row 9 : vancouver | 4785 | usa | alaska row 10 : churchill | 4766 | usa | alaska row 11 : fairweather | 4663 | usa | alaska row 12 : hubbard | 4577 | usa | alaska row 13 : bear | 4520 | usa | alaska row 14 : east buttress | 4490 | usa | alaska row 15 : hunter | 4442 | usa | alaska row 16 : alverstone | 4439 | usa | alaska row 17 : browne tower | 4429 | usa | alaska row 18 : wrangell | 4317 | usa | alaska row 19 : whitney | 4418 | usa | california row 20 : williamson | 4382 | usa | california row 21 : white | 4342 | usa | california row 22 : north palisade | 4341 | usa | california row 23 : shasta | 4317 | usa | california row 24 : sill | 4317 | usa | california row 25 : elbert | 4399 | usa | colorado row 26 : massive | 4396 | usa | colorado row 27 : harvard | 4395 | usa | colorado row 28 : bianca | 4372 | usa | colorado row 29 : la plata | 4370 | usa | colorado row 30 : uncompahgre | 4361 | usa | colorado row 31 : crestone | 4357 | usa | colorado row 32 : lincoln | 4354 | usa | colorado row 33 : grays | 4349 | usa | colorado row 34 : antero | 4349 | usa | colorado row 35 : torreys | 4349 | usa | colorado row 36 : castle | 4348 | usa | colorado row 37 : quandary | 4348 | usa | colorado row 38 : evans | 4348 | usa | colorado row 39 : longs | 4345 | usa | colorado row 40 : wilson | 4342 | usa | colorado row 41 : shavano | 4337 | usa | colorado row 42 : belford | 4327 | usa | colorado row 43 : princeton | 4327 | usa | colorado row 44 : crestone needle | 4327 | usa | colorado row 45 : yale | 4327 | usa | colorado row 46 : bross | 4320 | usa | colorado row 47 : kit carson | 4317 | usa | colorado row 48 : el diente | 4316 | usa | colorado row 49 : maroon | 4315 | usa | colorado row 50 : rainier | 4392 | usa | washington
col : mountain_name row 1 : mckinley
SELECT city.city_name FROM city WHERE city.state_name='wyoming' AND city.population=(SELECT max(city.population) FROM city WHERE city.state_name='wyoming');
what is the most populous city in wyoming
{"columns":["city_name"],"index":[0],"data":[["casper"]]}
[ "city" ]
[ "{\"columns\":[\"city_name\",\"population\",\"country_name\",\"state_name\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385],\"data\":[[\"birmingham\",284413,\"usa\",\"alabama\"],[\"mobile\",200452,\"usa\",\"alabama\"],[\"montgomery\",177857,\"usa\",\"alabama\"],[\"huntsville\",142513,\"usa\",\"alabama\"],[\"tuscaloosa\",75143,\"usa\",\"alabama\"],[\"anchorage\",174431,\"usa\",\"alaska\"],[\"phoenix\",789704,\"usa\",\"arizona\"],[\"tucson\",330537,\"usa\",\"arizona\"],[\"mesa\",152453,\"usa\",\"arizona\"],[\"tempe\",106919,\"usa\",\"arizona\"],[\"glendale\",96988,\"usa\",\"arizona\"],[\"scottsdale\",88622,\"usa\",\"arizona\"],[\"little rock\",158915,\"usa\",\"arkansas\"],[\"fort smith\",71384,\"usa\",\"arkansas\"],[\"north little rock\",64388,\"usa\",\"arkansas\"],[\"los angeles\",2966850,\"usa\",\"california\"],[\"san diego\",875538,\"usa\",\"california\"],[\"san francisco\",678974,\"usa\",\"california\"],[\"san jose\",629442,\"usa\",\"california\"],[\"long beach\",361334,\"usa\",\"california\"],[\"oakland\",339337,\"usa\",\"california\"],[\"sacramento\",275741,\"usa\",\"california\"],[\"anaheim\",219311,\"usa\",\"california\"],[\"fresno\",218202,\"usa\",\"california\"],[\"santa ana\",203713,\"usa\",\"california\"],[\"riverside\",170876,\"usa\",\"california\"],[\"huntington beach\",170505,\"usa\",\"california\"],[\"stockton\",149779,\"usa\",\"california\"],[\"glendale\",139060,\"usa\",\"california\"],[\"fremont\",131945,\"usa\",\"california\"],[\"torrance\",131497,\"usa\",\"california\"],[\"garden grove\",123351,\"usa\",\"california\"],[\"san 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gate\",66784,\"usa\",\"california\"],[\"alhambra\",64767,\"usa\",\"california\"],[\"buena park\",64165,\"usa\",\"california\"],[\"san leandro\",63952,\"usa\",\"california\"],[\"alameda\",63852,\"usa\",\"california\"],[\"newport beach\",63475,\"usa\",\"california\"],[\"escondido\",62480,\"usa\",\"california\"],[\"irvine\",62134,\"usa\",\"california\"],[\"mountain view\",58655,\"usa\",\"california\"],[\"fairfield\",58099,\"usa\",\"california\"],[\"redondo beach\",57102,\"usa\",\"california\"],[\"scotts valley\",6037,\"usa\",\"california\"],[\"denver\",492365,\"usa\",\"colorado\"],[\"colorado springs\",215150,\"usa\",\"colorado\"],[\"aurora\",158588,\"usa\",\"colorado\"],[\"lakewood\",113808,\"usa\",\"colorado\"],[\"pueblo\",101686,\"usa\",\"colorado\"],[\"arvada\",84576,\"usa\",\"colorado\"],[\"boulder\",76685,\"usa\",\"colorado\"],[\"fort collins\",64632,\"usa\",\"colorado\"],[\"bridgeport\",142546,\"usa\",\"connecticut\"],[\"hartford\",136392,\"usa\",\"connecticut\"],[\"new 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what is the most populous city in wyoming <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : city_name row 1 : casper
SELECT count(border_info.border) FROM border_info WHERE border_info.state_name='kentucky';
what is the number of neighboring states for kentucky
{"columns":["count(border_info.border)"],"index":[0],"data":[[7]]}
[ "border_info" ]
[ "{\"columns\":[\"state_name\",\"border\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217],\"data\":[[\"alabama\",\"tennessee\"],[\"alabama\",\"georgia\"],[\"alabama\",\"florida\"],[\"alabama\",\"mississippi\"],[\"arizona\",\"utah\"],[\"arizona\",\"colorado\"],[\"arizona\",\"new mexico\"],[\"arizona\",\"california\"],[\"arizona\",\"nevada\"],[\"arkansas\",\"missouri\"],[\"arkansas\",\"tennessee\"],[\"arkansas\",\"mississippi\"],[\"arkansas\",\"louisiana\"],[\"arkansas\",\"texas\"],[\"arkansas\",\"oklahoma\"],[\"california\",\"oregon\"],[\"california\",\"nevada\"],[\"california\",\"arizona\"],[\"colorado\",\"nebraska\"],[\"colorado\",\"kansas\"],[\"colorado\",\"oklahoma\"],[\"colorado\",\"new mexico\"],[\"colorado\",\"arizona\"],[\"colorado\",\"utah\"],[\"colorado\",\"wyoming\"],[\"connecticut\",\"massachusetts\"],[\"connecticut\",\"rhode island\"],[\"connecticut\",\"new york\"],[\"delaware\",\"pennsylvania\"],[\"delaware\",\"new jersey\"],[\"delaware\",\"maryland\"],[\"district of columbia\",\"maryland\"],[\"district of columbia\",\"virginia\"],[\"florida\",\"georgia\"],[\"florida\",\"alabama\"],[\"georgia\",\"north carolina\"],[\"georgia\",\"south carolina\"],[\"georgia\",\"florida\"],[\"georgia\",\"alabama\"],[\"georgia\",\"tennessee\"],[\"idaho\",\"montana\"],[\"idaho\",\"wyoming\"],[\"idaho\",\"utah\"],[\"idaho\",\"nevada\"],[\"idaho\",\"oregon\"],[\"idaho\",\"washington\"],[\"illinois\",\"wisconsin\"],[\"illinois\",\"indiana\"],[\"illinois\",\"kentucky\"],[\"illinois\",\"missouri\"],[\"illinois\",\"iowa\"],[\"indiana\",\"michigan\"],[\"indiana\",\"ohio\"],[\"indiana\",\"kentucky\"],[\"indiana\",\"illinois\"],[\"iowa\",\"minnesota\"],[\"iowa\",\"wisconsin\"],[\"iowa\",\"illinois\"],[\"iowa\",\"missouri\"],[\"iowa\",\"nebraska\"],[\"iowa\",\"south dakota\"],[\"kansas\",\"nebraska\"],[\"kansas\",\"missouri\"],[\"kansas\",\"oklahoma\"],[\"kansas\",\"colorado\"],[\"kentucky\",\"indiana\"],[\"kentucky\",\"ohio\"],[\"kentucky\",\"west virginia\"],[\"kentucky\",\"virginia\"],[\"kentucky\",\"tennessee\"],[\"kentucky\",\"missouri\"],[\"kentucky\",\"illinois\"],[\"louisiana\",\"arkansas\"],[\"louisiana\",\"mississippi\"],[\"louisiana\",\"texas\"],[\"maine\",\"new hampshire\"],[\"maryland\",\"pennsylvania\"],[\"maryland\",\"delaware\"],[\"maryland\",\"virginia\"],[\"maryland\",\"district of columbia\"],[\"maryland\",\"west virginia\"],[\"massachusetts\",\"new hampshire\"],[\"massachusetts\",\"rhode island\"],[\"massachusetts\",\"connecticut\"],[\"massachusetts\",\"new york\"],[\"massachusetts\",\"vermont\"],[\"michigan\",\"ohio\"],[\"michigan\",\"indiana\"],[\"michigan\",\"wisconsin\"],[\"minnesota\",\"wisconsin\"],[\"minnesota\",\"iowa\"],[\"minnesota\",\"south dakota\"],[\"minnesota\",\"north dakota\"],[\"mississippi\",\"tennessee\"],[\"mississippi\",\"alabama\"],[\"mississippi\",\"louisiana\"],[\"mississippi\",\"arkansas\"],[\"missouri\",\"iowa\"],[\"missouri\",\"illinois\"],[\"missouri\",\"kentucky\"],[\"missouri\",\"tennessee\"],[\"missouri\",\"arkansas\"],[\"missouri\",\"oklahoma\"],[\"missouri\",\"kansas\"],[\"missouri\",\"nebraska\"],[\"montana\",\"north dakota\"],[\"montana\",\"south dakota\"],[\"montana\",\"wyoming\"],[\"montana\",\"idaho\"],[\"nebraska\",\"south dakota\"],[\"nebraska\",\"iowa\"],[\"nebraska\",\"missouri\"],[\"nebraska\",\"kansas\"],[\"nebraska\",\"colorado\"],[\"nebraska\",\"wyoming\"],[\"nevada\",\"idaho\"],[\"nevada\",\"utah\"],[\"nevada\",\"arizona\"],[\"nevada\",\"california\"],[\"nevada\",\"oregon\"],[\"new hampshire\",\"maine\"],[\"new hampshire\",\"massachusetts\"],[\"new hampshire\",\"vermont\"],[\"new jersey\",\"new york\"],[\"new jersey\",\"delaware\"],[\"new jersey\",\"pennsylvania\"],[\"new mexico\",\"colorado\"],[\"new mexico\",\"oklahoma\"],[\"new mexico\",\"texas\"],[\"new mexico\",\"arizona\"],[\"new mexico\",\"utah\"],[\"new york\",\"vermont\"],[\"new york\",\"massachusetts\"],[\"new york\",\"connecticut\"],[\"new york\",\"new jersey\"],[\"new york\",\"pennsylvania\"],[\"north carolina\",\"virginia\"],[\"north carolina\",\"south carolina\"],[\"north carolina\",\"georgia\"],[\"north carolina\",\"tennessee\"],[\"north dakota\",\"minnesota\"],[\"north dakota\",\"south dakota\"],[\"north dakota\",\"montana\"],[\"ohio\",\"michigan\"],[\"ohio\",\"pennsylvania\"],[\"ohio\",\"west virginia\"],[\"ohio\",\"kentucky\"],[\"ohio\",\"indiana\"],[\"oklahoma\",\"kansas\"],[\"oklahoma\",\"missouri\"],[\"oklahoma\",\"arkansas\"],[\"oklahoma\",\"texas\"],[\"oklahoma\",\"new mexico\"],[\"oklahoma\",\"colorado\"],[\"oregon\",\"washington\"],[\"oregon\",\"idaho\"],[\"oregon\",\"nevada\"],[\"oregon\",\"california\"],[\"pennsylvania\",\"new york\"],[\"pennsylvania\",\"new jersey\"],[\"pennsylvania\",\"delaware\"],[\"pennsylvania\",\"maryland\"],[\"pennsylvania\",\"west virginia\"],[\"pennsylvania\",\"ohio\"],[\"rhode island\",\"massachusetts\"],[\"rhode island\",\"connecticut\"],[\"south carolina\",\"north carolina\"],[\"south carolina\",\"georgia\"],[\"south dakota\",\"north dakota\"],[\"south dakota\",\"minnesota\"],[\"south dakota\",\"iowa\"],[\"south dakota\",\"nebraska\"],[\"south dakota\",\"wyoming\"],[\"south dakota\",\"montana\"],[\"tennessee\",\"kentucky\"],[\"tennessee\",\"virginia\"],[\"tennessee\",\"north carolina\"],[\"tennessee\",\"georgia\"],[\"tennessee\",\"alabama\"],[\"tennessee\",\"mississippi\"],[\"tennessee\",\"arkansas\"],[\"tennessee\",\"missouri\"],[\"texas\",\"oklahoma\"],[\"texas\",\"arkansas\"],[\"texas\",\"louisiana\"],[\"texas\",\"new mexico\"],[\"utah\",\"wyoming\"],[\"utah\",\"colorado\"],[\"utah\",\"new mexico\"],[\"utah\",\"arizona\"],[\"utah\",\"nevada\"],[\"utah\",\"idaho\"],[\"vermont\",\"new hampshire\"],[\"vermont\",\"massachusetts\"],[\"vermont\",\"new york\"],[\"virginia\",\"maryland\"],[\"virginia\",\"district of columbia\"],[\"virginia\",\"north carolina\"],[\"virginia\",\"tennessee\"],[\"virginia\",\"kentucky\"],[\"virginia\",\"west virginia\"],[\"washington\",\"idaho\"],[\"washington\",\"oregon\"],[\"west virginia\",\"pennsylvania\"],[\"west virginia\",\"maryland\"],[\"west virginia\",\"virginia\"],[\"west virginia\",\"kentucky\"],[\"west virginia\",\"ohio\"],[\"wisconsin\",\"michigan\"],[\"wisconsin\",\"illinois\"],[\"wisconsin\",\"iowa\"],[\"wisconsin\",\"minnesota\"],[\"wyoming\",\"montana\"],[\"wyoming\",\"south dakota\"],[\"wyoming\",\"nebraska\"],[\"wyoming\",\"colorado\"],[\"wyoming\",\"utah\"],[\"wyoming\",\"idaho\"]]}" ]
what is the number of neighboring states for kentucky <table_name> : border_info col : state_name | border row 1 : alabama | tennessee row 2 : alabama | georgia row 3 : alabama | florida row 4 : alabama | mississippi row 5 : arizona | utah row 6 : arizona | colorado row 7 : arizona | new mexico row 8 : arizona | california row 9 : arizona | nevada row 10 : arkansas | missouri row 11 : arkansas | tennessee row 12 : arkansas | mississippi row 13 : arkansas | louisiana row 14 : arkansas | texas row 15 : arkansas | oklahoma row 16 : california | oregon row 17 : california | nevada row 18 : california | arizona row 19 : colorado | nebraska row 20 : colorado | kansas row 21 : colorado | oklahoma row 22 : colorado | new mexico row 23 : colorado | arizona row 24 : colorado | utah row 25 : colorado | wyoming row 26 : connecticut | massachusetts row 27 : connecticut | rhode island row 28 : connecticut | new york row 29 : delaware | pennsylvania row 30 : delaware | new jersey row 31 : delaware | maryland row 32 : district of columbia | maryland row 33 : district of columbia | virginia row 34 : florida | georgia row 35 : florida | alabama row 36 : georgia | north carolina row 37 : georgia | south carolina row 38 : georgia | florida row 39 : georgia | alabama row 40 : georgia | tennessee row 41 : idaho | montana row 42 : idaho | wyoming row 43 : idaho | utah row 44 : idaho | nevada row 45 : idaho | oregon row 46 : idaho | washington row 47 : illinois | wisconsin row 48 : illinois | indiana row 49 : illinois | kentucky row 50 : illinois | missouri row 51 : illinois | iowa row 52 : indiana | michigan row 53 : indiana | ohio row 54 : indiana | kentucky row 55 : indiana | illinois row 56 : iowa | minnesota row 57 : iowa | wisconsin row 58 : iowa | illinois row 59 : iowa | missouri row 60 : iowa | nebraska row 61 : iowa | south dakota row 62 : kansas | nebraska row 63 : kansas | missouri row 64 : kansas | oklahoma row 65 : kansas | colorado row 66 : kentucky | indiana row 67 : kentucky | ohio row 68 : kentucky | west virginia row 69 : kentucky | virginia row 70 : kentucky | tennessee row 71 : kentucky | missouri row 72 : kentucky | illinois row 73 : louisiana | arkansas row 74 : louisiana | mississippi row 75 : louisiana | texas row 76 : maine | new hampshire row 77 : maryland | pennsylvania row 78 : maryland | delaware row 79 : maryland | virginia row 80 : maryland | district of columbia row 81 : maryland | west virginia row 82 : massachusetts | new hampshire row 83 : massachusetts | rhode island row 84 : massachusetts | connecticut row 85 : massachusetts | new york row 86 : massachusetts | vermont row 87 : michigan | ohio row 88 : michigan | indiana row 89 : michigan | wisconsin row 90 : minnesota | wisconsin row 91 : minnesota | iowa row 92 : minnesota | south dakota row 93 : minnesota | north dakota row 94 : mississippi | tennessee row 95 : mississippi | alabama row 96 : mississippi | louisiana row 97 : mississippi | arkansas row 98 : missouri | iowa row 99 : missouri | illinois row 100 : missouri | kentucky row 101 : missouri | tennessee row 102 : missouri | arkansas row 103 : missouri | oklahoma row 104 : missouri | kansas row 105 : missouri | nebraska row 106 : montana | north dakota row 107 : montana | south dakota row 108 : montana | wyoming row 109 : montana | idaho row 110 : nebraska | south dakota row 111 : nebraska | iowa row 112 : nebraska | missouri row 113 : nebraska | kansas row 114 : nebraska | colorado row 115 : nebraska | wyoming row 116 : nevada | idaho row 117 : nevada | utah row 118 : nevada | arizona row 119 : nevada | california row 120 : nevada | oregon row 121 : new hampshire | maine row 122 : new hampshire | massachusetts row 123 : new hampshire | vermont row 124 : new jersey | new york row 125 : new jersey | delaware row 126 : new jersey | pennsylvania row 127 : new mexico | colorado row 128 : new mexico | oklahoma row 129 : new mexico | texas row 130 : new mexico | arizona row 131 : new mexico | utah row 132 : new york | vermont row 133 : new york | massachusetts row 134 : new york | connecticut row 135 : new york | new jersey row 136 : new york | pennsylvania row 137 : north carolina | virginia row 138 : north carolina | south carolina row 139 : north carolina | georgia row 140 : north carolina | tennessee row 141 : north dakota | minnesota row 142 : north dakota | south dakota row 143 : north dakota | montana row 144 : ohio | michigan row 145 : ohio | pennsylvania row 146 : ohio | west virginia row 147 : ohio | kentucky row 148 : ohio | indiana row 149 : oklahoma | kansas row 150 : oklahoma | missouri row 151 : oklahoma | arkansas row 152 : oklahoma | texas row 153 : oklahoma | new mexico row 154 : oklahoma | colorado row 155 : oregon | washington row 156 : oregon | idaho row 157 : oregon | nevada row 158 : oregon | california row 159 : pennsylvania | new york row 160 : pennsylvania | new jersey row 161 : pennsylvania | delaware row 162 : pennsylvania | maryland row 163 : pennsylvania | west virginia row 164 : pennsylvania | ohio row 165 : rhode island | massachusetts row 166 : rhode island | connecticut row 167 : south carolina | north carolina row 168 : south carolina | georgia row 169 : south dakota | north dakota row 170 : south dakota | minnesota row 171 : south dakota | iowa row 172 : south dakota | nebraska row 173 : south dakota | wyoming row 174 : south dakota | montana row 175 : tennessee | kentucky row 176 : tennessee | virginia row 177 : tennessee | north carolina row 178 : tennessee | georgia row 179 : tennessee | alabama row 180 : tennessee | mississippi row 181 : tennessee | arkansas row 182 : tennessee | missouri row 183 : texas | oklahoma row 184 : texas | arkansas row 185 : texas | louisiana row 186 : texas | new mexico row 187 : utah | wyoming row 188 : utah | colorado row 189 : utah | new mexico row 190 : utah | arizona row 191 : utah | nevada row 192 : utah | idaho row 193 : vermont | new hampshire row 194 : vermont | massachusetts row 195 : vermont | new york row 196 : virginia | maryland row 197 : virginia | district of columbia row 198 : virginia | north carolina row 199 : virginia | tennessee row 200 : virginia | kentucky row 201 : virginia | west virginia row 202 : washington | idaho row 203 : washington | oregon row 204 : west virginia | pennsylvania row 205 : west virginia | maryland row 206 : west virginia | virginia row 207 : west virginia | kentucky row 208 : west virginia | ohio row 209 : wisconsin | michigan row 210 : wisconsin | illinois row 211 : wisconsin | iowa row 212 : wisconsin | minnesota row 213 : wyoming | montana row 214 : wyoming | south dakota row 215 : wyoming | nebraska row 216 : wyoming | colorado row 217 : wyoming | utah row 218 : wyoming | idaho
col : count(border_info.border) row 1 : 7
SELECT state.capital FROM state, city WHERE state.capital = city.city_name AND city.population <= 150000;
which capitals are not major cities ?
{"columns":["capital"],"index":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18],"data":[["concord"],["richmond"],["hartford"],["tallahassee"],["albany"],["boise"],["springfield"],["topeka"],["lansing"],["springfield"],["columbia"],["trenton"],["albany"],["raleigh"],["springfield"],["salem"],["columbia"],["charleston"],["charleston"]]}
[ "city" ]
[ "{\"columns\":[\"city_name\",\"population\",\"country_name\",\"state_name\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385],\"data\":[[\"birmingham\",284413,\"usa\",\"alabama\"],[\"mobile\",200452,\"usa\",\"alabama\"],[\"montgomery\",177857,\"usa\",\"alabama\"],[\"huntsville\",142513,\"usa\",\"alabama\"],[\"tuscaloosa\",75143,\"usa\",\"alabama\"],[\"anchorage\",174431,\"usa\",\"alaska\"],[\"phoenix\",789704,\"usa\",\"arizona\"],[\"tucson\",330537,\"usa\",\"arizona\"],[\"mesa\",152453,\"usa\",\"arizona\"],[\"tempe\",106919,\"usa\",\"arizona\"],[\"glendale\",96988,\"usa\",\"arizona\"],[\"scottsdale\",88622,\"usa\",\"arizona\"],[\"little rock\",158915,\"usa\",\"arkansas\"],[\"fort smith\",71384,\"usa\",\"arkansas\"],[\"north little rock\",64388,\"usa\",\"arkansas\"],[\"los angeles\",2966850,\"usa\",\"california\"],[\"san diego\",875538,\"usa\",\"california\"],[\"san francisco\",678974,\"usa\",\"california\"],[\"san jose\",629442,\"usa\",\"california\"],[\"long beach\",361334,\"usa\",\"california\"],[\"oakland\",339337,\"usa\",\"california\"],[\"sacramento\",275741,\"usa\",\"california\"],[\"anaheim\",219311,\"usa\",\"california\"],[\"fresno\",218202,\"usa\",\"california\"],[\"santa ana\",203713,\"usa\",\"california\"],[\"riverside\",170876,\"usa\",\"california\"],[\"huntington beach\",170505,\"usa\",\"california\"],[\"stockton\",149779,\"usa\",\"california\"],[\"glendale\",139060,\"usa\",\"california\"],[\"fremont\",131945,\"usa\",\"california\"],[\"torrance\",131497,\"usa\",\"california\"],[\"garden grove\",123351,\"usa\",\"california\"],[\"san 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gate\",66784,\"usa\",\"california\"],[\"alhambra\",64767,\"usa\",\"california\"],[\"buena park\",64165,\"usa\",\"california\"],[\"san leandro\",63952,\"usa\",\"california\"],[\"alameda\",63852,\"usa\",\"california\"],[\"newport beach\",63475,\"usa\",\"california\"],[\"escondido\",62480,\"usa\",\"california\"],[\"irvine\",62134,\"usa\",\"california\"],[\"mountain view\",58655,\"usa\",\"california\"],[\"fairfield\",58099,\"usa\",\"california\"],[\"redondo beach\",57102,\"usa\",\"california\"],[\"scotts valley\",6037,\"usa\",\"california\"],[\"denver\",492365,\"usa\",\"colorado\"],[\"colorado springs\",215150,\"usa\",\"colorado\"],[\"aurora\",158588,\"usa\",\"colorado\"],[\"lakewood\",113808,\"usa\",\"colorado\"],[\"pueblo\",101686,\"usa\",\"colorado\"],[\"arvada\",84576,\"usa\",\"colorado\"],[\"boulder\",76685,\"usa\",\"colorado\"],[\"fort collins\",64632,\"usa\",\"colorado\"],[\"bridgeport\",142546,\"usa\",\"connecticut\"],[\"hartford\",136392,\"usa\",\"connecticut\"],[\"new haven\",126089,\"usa\",\"connecticut\"],[\"waterbury\",103266,\"usa\",\"connecticut\"],[\"stamford\",102466,\"usa\",\"connecticut\"],[\"norwalk\",77767,\"usa\",\"connecticut\"],[\"new britain\",73840,\"usa\",\"connecticut\"],[\"west hartford\",61301,\"usa\",\"connecticut\"],[\"danbury\",60470,\"usa\",\"connecticut\"],[\"greenwich\",59578,\"usa\",\"connecticut\"],[\"bristol\",57370,\"usa\",\"connecticut\"],[\"meriden\",57118,\"usa\",\"connecticut\"],[\"wilmington\",70195,\"usa\",\"delaware\"],[\"washington\",638333,\"usa\",\"district of columbia\"],[\"jacksonville\",540920,\"usa\",\"florida\"],[\"miami\",346865,\"usa\",\"florida\"],[\"tampa\",271523,\"usa\",\"florida\"],[\"st. petersburg\",238647,\"usa\",\"florida\"],[\"fort lauderdale\",153256,\"usa\",\"florida\"],[\"orlando\",128394,\"usa\",\"florida\"],[\"hollywood\",117188,\"usa\",\"florida\"],[\"miami beach\",96298,\"usa\",\"florida\"],[\"clearwater\",85450,\"usa\",\"florida\"],[\"tallahassee\",81548,\"usa\",\"florida\"],[\"gainesville\",81371,\"usa\",\"florida\"],[\"kendall\",73758,\"usa\",\"florida\"],[\"west palm beach\",62530,\"usa\",\"florida\"],[\"largo\",58977,\"usa\",\"florida\"],[\"pensacola\",57619,\"usa\",\"florida\"],[\"atlanta\",425022,\"usa\",\"georgia\"],[\"columbus\",169441,\"usa\",\"georgia\"],[\"savannah\",141654,\"usa\",\"georgia\"],[\"macon\",116860,\"usa\",\"georgia\"],[\"albany\",74425,\"usa\",\"georgia\"],[\"honolulu\",762874,\"usa\",\"hawaii\"],[\"ewa\",190037,\"usa\",\"hawaii\"],[\"koolaupoko\",109373,\"usa\",\"hawaii\"],[\"boise\",102249,\"usa\",\"idaho\"],[\"chicago\",3005172,\"usa\",\"illinois\"],[\"rockford\",139712,\"usa\",\"illinois\"],[\"peoria\",124160,\"usa\",\"illinois\"],[\"springfield\",100054,\"usa\",\"illinois\"],[\"decatur\",93939,\"usa\",\"illinois\"],[\"aurora\",81293,\"usa\",\"illinois\"],[\"joliet\",77956,\"usa\",\"illinois\"],[\"evanston\",73706,\"usa\",\"illinois\"],[\"waukegan\",67653,\"usa\",\"illinois\"],[\"arlington heights\",66116,\"usa\",\"illinois\"],[\"elgin\",63668,\"usa\",\"illinois\"],[\"cicero\",61232,\"usa\",\"illinois\"],[\"oak 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orleans\",557515,\"usa\",\"louisiana\"],[\"baton rouge\",219419,\"usa\",\"louisiana\"],[\"shreveport\",205820,\"usa\",\"louisiana\"],[\"metairie\",164160,\"usa\",\"louisiana\"],[\"lafayette\",80584,\"usa\",\"louisiana\"],[\"lake charles\",75051,\"usa\",\"louisiana\"],[\"kenner\",66382,\"usa\",\"louisiana\"],[\"monroe\",57597,\"usa\",\"louisiana\"],[\"portland\",61572,\"usa\",\"maine\"],[\"baltimore\",786775,\"usa\",\"maryland\"],[\"silver spring\",72893,\"usa\",\"maryland\"],[\"dundalk\",71293,\"usa\",\"maryland\"],[\"bethesda\",63022,\"usa\",\"maryland\"],[\"boston\",562994,\"usa\",\"massachusetts\"],[\"worcester\",161799,\"usa\",\"massachusetts\"],[\"springfield\",152319,\"usa\",\"massachusetts\"],[\"new bedford\",98478,\"usa\",\"massachusetts\"],[\"cambridge\",95322,\"usa\",\"massachusetts\"],[\"brockton\",95172,\"usa\",\"massachusetts\"],[\"fall river\",92574,\"usa\",\"massachusetts\"],[\"lowell\",92418,\"usa\",\"massachusetts\"],[\"quincy\",84743,\"usa\",\"massachusetts\"],[\"newton\",83622,\"usa\",\"massachusetts\"],[\"lynn\",78471,\"usa\",\"massachusetts\"],[\"somerville\",77372,\"usa\",\"massachusetts\"],[\"framingham\",65113,\"usa\",\"massachusetts\"],[\"lawrence\",63175,\"usa\",\"massachusetts\"],[\"waltham\",58200,\"usa\",\"massachusetts\"],[\"medford\",58076,\"usa\",\"massachusetts\"],[\"detroit\",1203339,\"usa\",\"michigan\"],[\"grand rapids\",181843,\"usa\",\"michigan\"],[\"warren\",161134,\"usa\",\"michigan\"],[\"flint\",159611,\"usa\",\"michigan\"],[\"lansing\",130414,\"usa\",\"michigan\"],[\"sterling heights\",108999,\"usa\",\"michigan\"],[\"ann 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paul\",270230,\"usa\",\"minnesota\"],[\"duluth\",92811,\"usa\",\"minnesota\"],[\"bloomington\",81831,\"usa\",\"minnesota\"],[\"rochester\",57906,\"usa\",\"minnesota\"],[\"jackson\",202895,\"usa\",\"mississippi\"],[\"st. louis\",453085,\"usa\",\"missouri\"],[\"kansas city\",448159,\"usa\",\"missouri\"],[\"springfield\",133116,\"usa\",\"missouri\"],[\"independence\",111797,\"usa\",\"missouri\"],[\"st. joseph\",76691,\"usa\",\"missouri\"],[\"columbia\",62061,\"usa\",\"missouri\"],[\"billings\",66842,\"usa\",\"montana\"],[\"great falls\",56725,\"usa\",\"montana\"],[\"omaha\",314255,\"usa\",\"nebraska\"],[\"lincoln\",171932,\"usa\",\"nebraska\"],[\"las vegas\",164674,\"usa\",\"nevada\"],[\"reno\",100756,\"usa\",\"nevada\"],[\"manchester\",90936,\"usa\",\"new hampshire\"],[\"nashua\",67865,\"usa\",\"new hampshire\"],[\"newark\",329248,\"usa\",\"new jersey\"],[\"jersey city\",223532,\"usa\",\"new jersey\"],[\"paterson\",137970,\"usa\",\"new jersey\"],[\"elizabeth\",106201,\"usa\",\"new jersey\"],[\"trenton\",92124,\"usa\",\"new jersey\"],[\"woodbridge\",90074,\"usa\",\"new jersey\"],[\"camden\",84910,\"usa\",\"new jersey\"],[\"east orange\",77878,\"usa\",\"new jersey\"],[\"clifton\",74388,\"usa\",\"new jersey\"],[\"edison\",70193,\"usa\",\"new jersey\"],[\"cherry hill\",68785,\"usa\",\"new jersey\"],[\"bayonne\",65047,\"usa\",\"new jersey\"],[\"middletown\",61615,\"usa\",\"new jersey\"],[\"irvington\",61493,\"usa\",\"new jersey\"],[\"albuquerque\",331767,\"usa\",\"new mexico\"],[\"new york\",7071639,\"usa\",\"new york\"],[\"buffalo\",357870,\"usa\",\"new york\"],[\"rochester\",241741,\"usa\",\"new york\"],[\"yonkers\",195351,\"usa\",\"new york\"],[\"syracuse\",170105,\"usa\",\"new york\"],[\"albany\",101727,\"usa\",\"new york\"],[\"cheektowaga\",92145,\"usa\",\"new york\"],[\"utica\",75632,\"usa\",\"new york\"],[\"niagara falls\",71384,\"usa\",\"new york\"],[\"new rochelle\",70794,\"usa\",\"new york\"],[\"schenectady\",67972,\"usa\",\"new york\"],[\"mount 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dakota\"],[\"cleveland\",573822,\"usa\",\"ohio\"],[\"columbus\",564871,\"usa\",\"ohio\"],[\"cincinnati\",385457,\"usa\",\"ohio\"],[\"toledo\",354635,\"usa\",\"ohio\"],[\"akron\",237177,\"usa\",\"ohio\"],[\"dayton\",203371,\"usa\",\"ohio\"],[\"youngstown\",115436,\"usa\",\"ohio\"],[\"canton\",93077,\"usa\",\"ohio\"],[\"parma\",92548,\"usa\",\"ohio\"],[\"lorain\",75416,\"usa\",\"ohio\"],[\"springfield\",72563,\"usa\",\"ohio\"],[\"hamilton\",63189,\"usa\",\"ohio\"],[\"lakewood\",61963,\"usa\",\"ohio\"],[\"kettering\",61186,\"usa\",\"ohio\"],[\"euclid\",59999,\"usa\",\"ohio\"],[\"elyria\",57504,\"usa\",\"ohio\"],[\"oklahoma city\",403213,\"usa\",\"oklahoma\"],[\"tulsa\",360919,\"usa\",\"oklahoma\"],[\"lawton\",80054,\"usa\",\"oklahoma\"],[\"norman\",68020,\"usa\",\"oklahoma\"],[\"portland\",366383,\"usa\",\"oregon\"],[\"eugene\",105664,\"usa\",\"oregon\"],[\"salem\",89233,\"usa\",\"oregon\"],[\"philadelphia\",1688210,\"usa\",\"pennsylvania\"],[\"pittsburgh\",423938,\"usa\",\"pennsylvania\"],[\"erie\",119123,\"usa\",\"pennsylvania\"],[\"allentown\",103758,\"usa\",\"pennsylvania\"],[\"scranton\",88117,\"usa\",\"pennsylvania\"],[\"upper darby\",84054,\"usa\",\"pennsylvania\"],[\"reading\",78686,\"usa\",\"pennsylvania\"],[\"bethlehem\",70419,\"usa\",\"pennsylvania\"],[\"lower merion\",59651,\"usa\",\"pennsylvania\"],[\"abingdon\",59084,\"usa\",\"pennsylvania\"],[\"bristol township\",58733,\"usa\",\"pennsylvania\"],[\"penn hills\",57632,\"usa\",\"pennsylvania\"],[\"altoona\",57078,\"usa\",\"pennsylvania\"],[\"providence\",156804,\"usa\",\"rhode island\"],[\"warwick\",87123,\"usa\",\"rhode island\"],[\"cranston\",71992,\"usa\",\"rhode island\"],[\"pawtucket\",71204,\"usa\",\"rhode island\"],[\"columbia\",101229,\"usa\",\"south carolina\"],[\"charleston\",69855,\"usa\",\"south carolina\"],[\"north charleston\",62504,\"usa\",\"south carolina\"],[\"greenville\",58242,\"usa\",\"south carolina\"],[\"sioux falls\",81343,\"usa\",\"south dakota\"],[\"memphis\",646356,\"usa\",\"tennessee\"],[\"nashville\",455651,\"usa\",\"tennessee\"],[\"knoxville\",175030,\"usa\",\"tennessee\"],[\"chattanooga\",169728,\"usa\",\"tennessee\"],[\"houston\",1595138,\"usa\",\"texas\"],[\"dallas\",904078,\"usa\",\"texas\"],[\"san antonio\",785880,\"usa\",\"texas\"],[\"el paso\",425259,\"usa\",\"texas\"],[\"fort worth\",385164,\"usa\",\"texas\"],[\"austin\",345496,\"usa\",\"texas\"],[\"corpus christi\",231999,\"usa\",\"texas\"],[\"lubbock\",173979,\"usa\",\"texas\"],[\"arlington\",160123,\"usa\",\"texas\"],[\"amarillo\",149230,\"usa\",\"texas\"],[\"garland\",138857,\"usa\",\"texas\"],[\"beaumont\",118102,\"usa\",\"texas\"],[\"pasadena\",112560,\"usa\",\"texas\"],[\"irving\",109943,\"usa\",\"texas\"],[\"waco\",101261,\"usa\",\"texas\"],[\"abilene\",98315,\"usa\",\"texas\"],[\"wichita falls\",94201,\"usa\",\"texas\"],[\"laredo\",91449,\"usa\",\"texas\"],[\"odessa\",90027,\"usa\",\"texas\"],[\"brownsville\",84997,\"usa\",\"texas\"],[\"san angelo\",73240,\"usa\",\"texas\"],[\"richardson\",72496,\"usa\",\"texas\"],[\"plano\",72331,\"usa\",\"texas\"],[\"grand prairie\",71462,\"usa\",\"texas\"],[\"midland\",70525,\"usa\",\"texas\"],[\"tyler\",70508,\"usa\",\"texas\"],[\"mesquite\",67053,\"usa\",\"texas\"],[\"mcallen\",67042,\"usa\",\"texas\"],[\"longview\",62762,\"usa\",\"texas\"],[\"port arthur\",61195,\"usa\",\"texas\"],[\"salt lake city\",163034,\"usa\",\"utah\"],[\"provo\",74111,\"usa\",\"utah\"],[\"west valley\",72299,\"usa\",\"utah\"],[\"ogden\",64407,\"usa\",\"utah\"],[\"norfolk\",266979,\"usa\",\"virginia\"],[\"virginia beach\",262199,\"usa\",\"virginia\"],[\"richmond\",219214,\"usa\",\"virginia\"],[\"arlington\",152599,\"usa\",\"virginia\"],[\"newport news\",144903,\"usa\",\"virginia\"],[\"hampton\",122617,\"usa\",\"virginia\"],[\"chesapeake\",114226,\"usa\",\"virginia\"],[\"portsmouth\",104577,\"usa\",\"virginia\"],[\"alexandria\",103217,\"usa\",\"virginia\"],[\"roanoke\",100427,\"usa\",\"virginia\"],[\"lynchburg\",66743,\"usa\",\"virginia\"],[\"seattle\",493846,\"usa\",\"washington\"],[\"spokane\",171300,\"usa\",\"washington\"],[\"tacoma\",158501,\"usa\",\"washington\"],[\"bellevue\",73903,\"usa\",\"washington\"],[\"charleston\",63968,\"usa\",\"west virginia\"],[\"huntington\",63684,\"usa\",\"west virginia\"],[\"milwaukee\",636212,\"usa\",\"wisconsin\"],[\"madison\",170616,\"usa\",\"wisconsin\"],[\"green bay\",87899,\"usa\",\"wisconsin\"],[\"racine\",85725,\"usa\",\"wisconsin\"],[\"kenosha\",77685,\"usa\",\"wisconsin\"],[\"west allis\",63982,\"usa\",\"wisconsin\"],[\"appleton\",58913,\"usa\",\"wisconsin\"],[\"casper\",51016,\"usa\",\"wyoming\"]]}" ]
which capitals are not major cities ? <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : capital row 1 : concord row 2 : richmond row 3 : hartford row 4 : tallahassee row 5 : albany row 6 : boise row 7 : springfield row 8 : topeka row 9 : lansing row 10 : springfield row 11 : columbia row 12 : trenton row 13 : albany row 14 : raleigh row 15 : springfield row 16 : salem row 17 : columbia row 18 : charleston row 19 : charleston
SELECT border_info.border FROM border_info WHERE border_info.state_name='delaware';
what states border delaware
{"columns":["border"],"index":[0,1,2],"data":[["pennsylvania"],["new jersey"],["maryland"]]}
[ "border_info" ]
[ "{\"columns\":[\"state_name\",\"border\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217],\"data\":[[\"alabama\",\"tennessee\"],[\"alabama\",\"georgia\"],[\"alabama\",\"florida\"],[\"alabama\",\"mississippi\"],[\"arizona\",\"utah\"],[\"arizona\",\"colorado\"],[\"arizona\",\"new mexico\"],[\"arizona\",\"california\"],[\"arizona\",\"nevada\"],[\"arkansas\",\"missouri\"],[\"arkansas\",\"tennessee\"],[\"arkansas\",\"mississippi\"],[\"arkansas\",\"louisiana\"],[\"arkansas\",\"texas\"],[\"arkansas\",\"oklahoma\"],[\"california\",\"oregon\"],[\"california\",\"nevada\"],[\"california\",\"arizona\"],[\"colorado\",\"nebraska\"],[\"colorado\",\"kansas\"],[\"colorado\",\"oklahoma\"],[\"colorado\",\"new mexico\"],[\"colorado\",\"arizona\"],[\"colorado\",\"utah\"],[\"colorado\",\"wyoming\"],[\"connecticut\",\"massachusetts\"],[\"connecticut\",\"rhode island\"],[\"connecticut\",\"new york\"],[\"delaware\",\"pennsylvania\"],[\"delaware\",\"new jersey\"],[\"delaware\",\"maryland\"],[\"district of columbia\",\"maryland\"],[\"district of columbia\",\"virginia\"],[\"florida\",\"georgia\"],[\"florida\",\"alabama\"],[\"georgia\",\"north carolina\"],[\"georgia\",\"south carolina\"],[\"georgia\",\"florida\"],[\"georgia\",\"alabama\"],[\"georgia\",\"tennessee\"],[\"idaho\",\"montana\"],[\"idaho\",\"wyoming\"],[\"idaho\",\"utah\"],[\"idaho\",\"nevada\"],[\"idaho\",\"oregon\"],[\"idaho\",\"washington\"],[\"illinois\",\"wisconsin\"],[\"illinois\",\"indiana\"],[\"illinois\",\"kentucky\"],[\"illinois\",\"missouri\"],[\"illinois\",\"iowa\"],[\"indiana\",\"michigan\"],[\"indiana\",\"ohio\"],[\"indiana\",\"kentucky\"],[\"indiana\",\"illinois\"],[\"iowa\",\"minnesota\"],[\"iowa\",\"wisconsin\"],[\"iowa\",\"illinois\"],[\"iowa\",\"missouri\"],[\"iowa\",\"nebraska\"],[\"iowa\",\"south dakota\"],[\"kansas\",\"nebraska\"],[\"kansas\",\"missouri\"],[\"kansas\",\"oklahoma\"],[\"kansas\",\"colorado\"],[\"kentucky\",\"indiana\"],[\"kentucky\",\"ohio\"],[\"kentucky\",\"west virginia\"],[\"kentucky\",\"virginia\"],[\"kentucky\",\"tennessee\"],[\"kentucky\",\"missouri\"],[\"kentucky\",\"illinois\"],[\"louisiana\",\"arkansas\"],[\"louisiana\",\"mississippi\"],[\"louisiana\",\"texas\"],[\"maine\",\"new hampshire\"],[\"maryland\",\"pennsylvania\"],[\"maryland\",\"delaware\"],[\"maryland\",\"virginia\"],[\"maryland\",\"district of columbia\"],[\"maryland\",\"west virginia\"],[\"massachusetts\",\"new hampshire\"],[\"massachusetts\",\"rhode island\"],[\"massachusetts\",\"connecticut\"],[\"massachusetts\",\"new york\"],[\"massachusetts\",\"vermont\"],[\"michigan\",\"ohio\"],[\"michigan\",\"indiana\"],[\"michigan\",\"wisconsin\"],[\"minnesota\",\"wisconsin\"],[\"minnesota\",\"iowa\"],[\"minnesota\",\"south dakota\"],[\"minnesota\",\"north dakota\"],[\"mississippi\",\"tennessee\"],[\"mississippi\",\"alabama\"],[\"mississippi\",\"louisiana\"],[\"mississippi\",\"arkansas\"],[\"missouri\",\"iowa\"],[\"missouri\",\"illinois\"],[\"missouri\",\"kentucky\"],[\"missouri\",\"tennessee\"],[\"missouri\",\"arkansas\"],[\"missouri\",\"oklahoma\"],[\"missouri\",\"kansas\"],[\"missouri\",\"nebraska\"],[\"montana\",\"north dakota\"],[\"montana\",\"south dakota\"],[\"montana\",\"wyoming\"],[\"montana\",\"idaho\"],[\"nebraska\",\"south dakota\"],[\"nebraska\",\"iowa\"],[\"nebraska\",\"missouri\"],[\"nebraska\",\"kansas\"],[\"nebraska\",\"colorado\"],[\"nebraska\",\"wyoming\"],[\"nevada\",\"idaho\"],[\"nevada\",\"utah\"],[\"nevada\",\"arizona\"],[\"nevada\",\"california\"],[\"nevada\",\"oregon\"],[\"new hampshire\",\"maine\"],[\"new hampshire\",\"massachusetts\"],[\"new hampshire\",\"vermont\"],[\"new jersey\",\"new york\"],[\"new jersey\",\"delaware\"],[\"new jersey\",\"pennsylvania\"],[\"new mexico\",\"colorado\"],[\"new mexico\",\"oklahoma\"],[\"new mexico\",\"texas\"],[\"new mexico\",\"arizona\"],[\"new mexico\",\"utah\"],[\"new york\",\"vermont\"],[\"new york\",\"massachusetts\"],[\"new york\",\"connecticut\"],[\"new york\",\"new jersey\"],[\"new york\",\"pennsylvania\"],[\"north carolina\",\"virginia\"],[\"north carolina\",\"south carolina\"],[\"north carolina\",\"georgia\"],[\"north carolina\",\"tennessee\"],[\"north dakota\",\"minnesota\"],[\"north dakota\",\"south dakota\"],[\"north dakota\",\"montana\"],[\"ohio\",\"michigan\"],[\"ohio\",\"pennsylvania\"],[\"ohio\",\"west virginia\"],[\"ohio\",\"kentucky\"],[\"ohio\",\"indiana\"],[\"oklahoma\",\"kansas\"],[\"oklahoma\",\"missouri\"],[\"oklahoma\",\"arkansas\"],[\"oklahoma\",\"texas\"],[\"oklahoma\",\"new mexico\"],[\"oklahoma\",\"colorado\"],[\"oregon\",\"washington\"],[\"oregon\",\"idaho\"],[\"oregon\",\"nevada\"],[\"oregon\",\"california\"],[\"pennsylvania\",\"new york\"],[\"pennsylvania\",\"new jersey\"],[\"pennsylvania\",\"delaware\"],[\"pennsylvania\",\"maryland\"],[\"pennsylvania\",\"west virginia\"],[\"pennsylvania\",\"ohio\"],[\"rhode island\",\"massachusetts\"],[\"rhode island\",\"connecticut\"],[\"south carolina\",\"north carolina\"],[\"south carolina\",\"georgia\"],[\"south dakota\",\"north dakota\"],[\"south dakota\",\"minnesota\"],[\"south dakota\",\"iowa\"],[\"south dakota\",\"nebraska\"],[\"south dakota\",\"wyoming\"],[\"south dakota\",\"montana\"],[\"tennessee\",\"kentucky\"],[\"tennessee\",\"virginia\"],[\"tennessee\",\"north carolina\"],[\"tennessee\",\"georgia\"],[\"tennessee\",\"alabama\"],[\"tennessee\",\"mississippi\"],[\"tennessee\",\"arkansas\"],[\"tennessee\",\"missouri\"],[\"texas\",\"oklahoma\"],[\"texas\",\"arkansas\"],[\"texas\",\"louisiana\"],[\"texas\",\"new mexico\"],[\"utah\",\"wyoming\"],[\"utah\",\"colorado\"],[\"utah\",\"new mexico\"],[\"utah\",\"arizona\"],[\"utah\",\"nevada\"],[\"utah\",\"idaho\"],[\"vermont\",\"new hampshire\"],[\"vermont\",\"massachusetts\"],[\"vermont\",\"new york\"],[\"virginia\",\"maryland\"],[\"virginia\",\"district of columbia\"],[\"virginia\",\"north carolina\"],[\"virginia\",\"tennessee\"],[\"virginia\",\"kentucky\"],[\"virginia\",\"west virginia\"],[\"washington\",\"idaho\"],[\"washington\",\"oregon\"],[\"west virginia\",\"pennsylvania\"],[\"west virginia\",\"maryland\"],[\"west virginia\",\"virginia\"],[\"west virginia\",\"kentucky\"],[\"west virginia\",\"ohio\"],[\"wisconsin\",\"michigan\"],[\"wisconsin\",\"illinois\"],[\"wisconsin\",\"iowa\"],[\"wisconsin\",\"minnesota\"],[\"wyoming\",\"montana\"],[\"wyoming\",\"south dakota\"],[\"wyoming\",\"nebraska\"],[\"wyoming\",\"colorado\"],[\"wyoming\",\"utah\"],[\"wyoming\",\"idaho\"]]}" ]
what states border delaware <table_name> : border_info col : state_name | border row 1 : alabama | tennessee row 2 : alabama | georgia row 3 : alabama | florida row 4 : alabama | mississippi row 5 : arizona | utah row 6 : arizona | colorado row 7 : arizona | new mexico row 8 : arizona | california row 9 : arizona | nevada row 10 : arkansas | missouri row 11 : arkansas | tennessee row 12 : arkansas | mississippi row 13 : arkansas | louisiana row 14 : arkansas | texas row 15 : arkansas | oklahoma row 16 : california | oregon row 17 : california | nevada row 18 : california | arizona row 19 : colorado | nebraska row 20 : colorado | kansas row 21 : colorado | oklahoma row 22 : colorado | new mexico row 23 : colorado | arizona row 24 : colorado | utah row 25 : colorado | wyoming row 26 : connecticut | massachusetts row 27 : connecticut | rhode island row 28 : connecticut | new york row 29 : delaware | pennsylvania row 30 : delaware | new jersey row 31 : delaware | maryland row 32 : district of columbia | maryland row 33 : district of columbia | virginia row 34 : florida | georgia row 35 : florida | alabama row 36 : georgia | north carolina row 37 : georgia | south carolina row 38 : georgia | florida row 39 : georgia | alabama row 40 : georgia | tennessee row 41 : idaho | montana row 42 : idaho | wyoming row 43 : idaho | utah row 44 : idaho | nevada row 45 : idaho | oregon row 46 : idaho | washington row 47 : illinois | wisconsin row 48 : illinois | indiana row 49 : illinois | kentucky row 50 : illinois | missouri row 51 : illinois | iowa row 52 : indiana | michigan row 53 : indiana | ohio row 54 : indiana | kentucky row 55 : indiana | illinois row 56 : iowa | minnesota row 57 : iowa | wisconsin row 58 : iowa | illinois row 59 : iowa | missouri row 60 : iowa | nebraska row 61 : iowa | south dakota row 62 : kansas | nebraska row 63 : kansas | missouri row 64 : kansas | oklahoma row 65 : kansas | colorado row 66 : kentucky | indiana row 67 : kentucky | ohio row 68 : kentucky | west virginia row 69 : kentucky | virginia row 70 : kentucky | tennessee row 71 : kentucky | missouri row 72 : kentucky | illinois row 73 : louisiana | arkansas row 74 : louisiana | mississippi row 75 : louisiana | texas row 76 : maine | new hampshire row 77 : maryland | pennsylvania row 78 : maryland | delaware row 79 : maryland | virginia row 80 : maryland | district of columbia row 81 : maryland | west virginia row 82 : massachusetts | new hampshire row 83 : massachusetts | rhode island row 84 : massachusetts | connecticut row 85 : massachusetts | new york row 86 : massachusetts | vermont row 87 : michigan | ohio row 88 : michigan | indiana row 89 : michigan | wisconsin row 90 : minnesota | wisconsin row 91 : minnesota | iowa row 92 : minnesota | south dakota row 93 : minnesota | north dakota row 94 : mississippi | tennessee row 95 : mississippi | alabama row 96 : mississippi | louisiana row 97 : mississippi | arkansas row 98 : missouri | iowa row 99 : missouri | illinois row 100 : missouri | kentucky row 101 : missouri | tennessee row 102 : missouri | arkansas row 103 : missouri | oklahoma row 104 : missouri | kansas row 105 : missouri | nebraska row 106 : montana | north dakota row 107 : montana | south dakota row 108 : montana | wyoming row 109 : montana | idaho row 110 : nebraska | south dakota row 111 : nebraska | iowa row 112 : nebraska | missouri row 113 : nebraska | kansas row 114 : nebraska | colorado row 115 : nebraska | wyoming row 116 : nevada | idaho row 117 : nevada | utah row 118 : nevada | arizona row 119 : nevada | california row 120 : nevada | oregon row 121 : new hampshire | maine row 122 : new hampshire | massachusetts row 123 : new hampshire | vermont row 124 : new jersey | new york row 125 : new jersey | delaware row 126 : new jersey | pennsylvania row 127 : new mexico | colorado row 128 : new mexico | oklahoma row 129 : new mexico | texas row 130 : new mexico | arizona row 131 : new mexico | utah row 132 : new york | vermont row 133 : new york | massachusetts row 134 : new york | connecticut row 135 : new york | new jersey row 136 : new york | pennsylvania row 137 : north carolina | virginia row 138 : north carolina | south carolina row 139 : north carolina | georgia row 140 : north carolina | tennessee row 141 : north dakota | minnesota row 142 : north dakota | south dakota row 143 : north dakota | montana row 144 : ohio | michigan row 145 : ohio | pennsylvania row 146 : ohio | west virginia row 147 : ohio | kentucky row 148 : ohio | indiana row 149 : oklahoma | kansas row 150 : oklahoma | missouri row 151 : oklahoma | arkansas row 152 : oklahoma | texas row 153 : oklahoma | new mexico row 154 : oklahoma | colorado row 155 : oregon | washington row 156 : oregon | idaho row 157 : oregon | nevada row 158 : oregon | california row 159 : pennsylvania | new york row 160 : pennsylvania | new jersey row 161 : pennsylvania | delaware row 162 : pennsylvania | maryland row 163 : pennsylvania | west virginia row 164 : pennsylvania | ohio row 165 : rhode island | massachusetts row 166 : rhode island | connecticut row 167 : south carolina | north carolina row 168 : south carolina | georgia row 169 : south dakota | north dakota row 170 : south dakota | minnesota row 171 : south dakota | iowa row 172 : south dakota | nebraska row 173 : south dakota | wyoming row 174 : south dakota | montana row 175 : tennessee | kentucky row 176 : tennessee | virginia row 177 : tennessee | north carolina row 178 : tennessee | georgia row 179 : tennessee | alabama row 180 : tennessee | mississippi row 181 : tennessee | arkansas row 182 : tennessee | missouri row 183 : texas | oklahoma row 184 : texas | arkansas row 185 : texas | louisiana row 186 : texas | new mexico row 187 : utah | wyoming row 188 : utah | colorado row 189 : utah | new mexico row 190 : utah | arizona row 191 : utah | nevada row 192 : utah | idaho row 193 : vermont | new hampshire row 194 : vermont | massachusetts row 195 : vermont | new york row 196 : virginia | maryland row 197 : virginia | district of columbia row 198 : virginia | north carolina row 199 : virginia | tennessee row 200 : virginia | kentucky row 201 : virginia | west virginia row 202 : washington | idaho row 203 : washington | oregon row 204 : west virginia | pennsylvania row 205 : west virginia | maryland row 206 : west virginia | virginia row 207 : west virginia | kentucky row 208 : west virginia | ohio row 209 : wisconsin | michigan row 210 : wisconsin | illinois row 211 : wisconsin | iowa row 212 : wisconsin | minnesota row 213 : wyoming | montana row 214 : wyoming | south dakota row 215 : wyoming | nebraska row 216 : wyoming | colorado row 217 : wyoming | utah row 218 : wyoming | idaho
col : border row 1 : pennsylvania row 2 : new jersey row 3 : maryland
SELECT state.state_name FROM state WHERE state.density=(SELECT max(state.density) FROM state);
which state has the largest density
{"columns":["state_name"],"index":[0],"data":[["new jersey"]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
which state has the largest density <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : state_name row 1 : new jersey
SELECT city.city_name FROM city WHERE city.population=(SELECT max(city.population) FROM city);
what city has the largest population
{"columns":["city_name"],"index":[0],"data":[["new york"]]}
[ "city" ]
[ 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what city has the largest population <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : city_name row 1 : new york
SELECT river.traverse FROM river WHERE river.river_name='mississippi';
which states does the mississippi river run through
{"columns":["traverse"],"index":[0,1,2,3,4,5,6,7,8,9,10],"data":[["minnesota"],["wisconsin"],["iowa"],["illinois"],["missouri"],["kentucky"],["tennessee"],["arkansas"],["mississippi"],["louisiana"],["louisiana"]]}
[ "river" ]
[ "{\"columns\":[\"river_name\",\"length\",\"country_name\",\"traverse\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148],\"data\":[[\"mississippi\",3778,\"usa\",\"minnesota\"],[\"mississippi\",3778,\"usa\",\"wisconsin\"],[\"mississippi\",3778,\"usa\",\"iowa\"],[\"mississippi\",3778,\"usa\",\"illinois\"],[\"mississippi\",3778,\"usa\",\"missouri\"],[\"mississippi\",3778,\"usa\",\"kentucky\"],[\"mississippi\",3778,\"usa\",\"tennessee\"],[\"mississippi\",3778,\"usa\",\"arkansas\"],[\"mississippi\",3778,\"usa\",\"mississippi\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"missouri\",3968,\"usa\",\"montana\"],[\"missouri\",3968,\"usa\",\"north dakota\"],[\"missouri\",3968,\"usa\",\"south dakota\"],[\"missouri\",3968,\"usa\",\"iowa\"],[\"missouri\",3968,\"usa\",\"nebraska\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"colorado\",2333,\"usa\",\"colorado\"],[\"colorado\",2333,\"usa\",\"utah\"],[\"colorado\",2333,\"usa\",\"arizona\"],[\"colorado\",2333,\"usa\",\"nevada\"],[\"colorado\",2333,\"usa\",\"california\"],[\"ohio\",1569,\"usa\",\"pennsylvania\"],[\"ohio\",1569,\"usa\",\"west virginia\"],[\"ohio\",1569,\"usa\",\"kentucky\"],[\"ohio\",1569,\"usa\",\"indiana\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"ohio\"],[\"red\",1638,\"usa\",\"new 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dakota\"],[\"little missouri\",901,\"usa\",\"north dakota\"],[\"snake\",1670,\"usa\",\"wyoming\"],[\"snake\",1670,\"usa\",\"idaho\"],[\"snake\",1670,\"usa\",\"oregon\"],[\"snake\",1670,\"usa\",\"washington\"],[\"snake\",1670,\"usa\",\"washington\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"florida\"],[\"cimarron\",965,\"usa\",\"new mexico\"],[\"cimarron\",965,\"usa\",\"kansas\"],[\"cimarron\",965,\"usa\",\"oklahoma\"],[\"green\",1175,\"usa\",\"wyoming\"],[\"green\",1175,\"usa\",\"utah\"],[\"green\",1175,\"usa\",\"colorado\"],[\"green\",1175,\"usa\",\"utah\"],[\"north platte\",1094,\"usa\",\"colorado\"],[\"north platte\",1094,\"usa\",\"wyoming\"],[\"north platte\",1094,\"usa\",\"nebraska\"],[\"potomac\",462,\"usa\",\"west virginia\"],[\"potomac\",462,\"usa\",\"maryland\"],[\"potomac\",462,\"usa\",\"virginia\"],[\"potomac\",462,\"usa\",\"district of 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which states does the mississippi river run through <table_name> : river col : river_name | length | country_name | traverse row 1 : mississippi | 3778 | usa | minnesota row 2 : mississippi | 3778 | usa | wisconsin row 3 : mississippi | 3778 | usa | iowa row 4 : mississippi | 3778 | usa | illinois row 5 : mississippi | 3778 | usa | missouri row 6 : mississippi | 3778 | usa | kentucky row 7 : mississippi | 3778 | usa | tennessee row 8 : mississippi | 3778 | usa | arkansas row 9 : mississippi | 3778 | usa | mississippi row 10 : mississippi | 3778 | usa | louisiana row 11 : mississippi | 3778 | usa | louisiana row 12 : missouri | 3968 | usa | montana row 13 : missouri | 3968 | usa | north dakota row 14 : missouri | 3968 | usa | south dakota row 15 : missouri | 3968 | usa | iowa row 16 : missouri | 3968 | usa | nebraska row 17 : missouri | 3968 | usa | missouri row 18 : missouri | 3968 | usa | missouri row 19 : colorado | 2333 | usa | colorado row 20 : colorado | 2333 | usa | utah row 21 : colorado | 2333 | usa | arizona row 22 : colorado | 2333 | usa | nevada row 23 : colorado | 2333 | usa | california row 24 : ohio | 1569 | usa | pennsylvania row 25 : ohio | 1569 | usa | west virginia row 26 : ohio | 1569 | usa | kentucky row 27 : ohio | 1569 | usa | indiana row 28 : ohio | 1569 | usa | illinois row 29 : ohio | 1569 | usa | illinois row 30 : ohio | 1569 | usa | ohio row 31 : red | 1638 | usa | new mexico row 32 : red | 1638 | usa | texas row 33 : red | 1638 | usa | oklahoma row 34 : red | 1638 | usa | arkansas row 35 : red | 1638 | usa | arkansas row 36 : red | 1638 | usa | louisiana row 37 : arkansas | 2333 | usa | colorado row 38 : arkansas | 2333 | usa | kansas row 39 : arkansas | 2333 | usa | oklahoma row 40 : arkansas | 2333 | usa | arkansas row 41 : canadian | 1458 | usa | colorado row 42 : canadian | 1458 | usa | new mexico row 43 : canadian | 1458 | usa | texas row 44 : canadian | 1458 | usa | oklahoma row 45 : connecticut | 655 | usa | new hampshire row 46 : connecticut | 655 | usa | vermont row 47 : connecticut | 655 | usa | massachusetts row 48 : connecticut | 655 | usa | connecticut row 49 : delaware | 451 | usa | new york row 50 : delaware | 451 | usa | pennsylvania row 51 : delaware | 451 | usa | new jersey row 52 : delaware | 451 | usa | delaware row 53 : little missouri | 901 | usa | wyoming row 54 : little missouri | 901 | usa | montana row 55 : little missouri | 901 | usa | south dakota row 56 : little missouri | 901 | usa | north dakota row 57 : snake | 1670 | usa | wyoming row 58 : snake | 1670 | usa | idaho row 59 : snake | 1670 | usa | oregon row 60 : snake | 1670 | usa | washington row 61 : snake | 1670 | usa | washington row 62 : chattahoochee | 702 | usa | georgia row 63 : chattahoochee | 702 | usa | georgia row 64 : chattahoochee | 702 | usa | florida row 65 : cimarron | 965 | usa | new mexico row 66 : cimarron | 965 | usa | kansas row 67 : cimarron | 965 | usa | oklahoma row 68 : green | 1175 | usa | wyoming row 69 : green | 1175 | usa | utah row 70 : green | 1175 | usa | colorado row 71 : green | 1175 | usa | utah row 72 : north platte | 1094 | usa | colorado row 73 : north platte | 1094 | usa | wyoming row 74 : north platte | 1094 | usa | nebraska row 75 : potomac | 462 | usa | west virginia row 76 : potomac | 462 | usa | maryland row 77 : potomac | 462 | usa | virginia row 78 : potomac | 462 | usa | district of columbia row 79 : republican | 679 | usa | colorado row 80 : republican | 679 | usa | nebraska row 81 : republican | 679 | usa | kansas row 82 : rio grande | 3033 | usa | colorado row 83 : rio grande | 3033 | usa | new mexico row 84 : rio grande | 3033 | usa | texas row 85 : san juan | 579 | usa | colorado row 86 : san juan | 579 | usa | new mexico row 87 : san juan | 579 | usa | colorado row 88 : san juan | 579 | usa | utah row 89 : tennessee | 1049 | usa | tennessee row 90 : tennessee | 1049 | usa | alabama row 91 : tennessee | 1049 | usa | tennessee row 92 : tennessee | 1049 | usa | kentucky row 93 : wabash | 764 | usa | ohio row 94 : wabash | 764 | usa | indiana row 95 : wabash | 764 | usa | illinois row 96 : yellowstone | 1080 | usa | wyoming row 97 : yellowstone | 1080 | usa | montana row 98 : yellowstone | 1080 | usa | north dakota row 99 : allegheny | 523 | usa | pennsylvania row 100 : allegheny | 523 | usa | new york row 101 : allegheny | 523 | usa | pennsylvania row 102 : bighorn | 541 | usa | wyoming row 103 : bighorn | 541 | usa | montana row 104 : cheyenne | 848 | usa | wyoming row 105 : cheyenne | 848 | usa | north dakota row 106 : clark fork | 483 | usa | montana row 107 : clark fork | 483 | usa | idaho row 108 : columbia | 1953 | usa | washington row 109 : columbia | 1953 | usa | oregon row 110 : cumberland | 1105 | usa | kentucky row 111 : cumberland | 1105 | usa | tennessee row 112 : cumberland | 1105 | usa | kentucky row 113 : dakota | 1142 | usa | north dakota row 114 : dakota | 1142 | usa | south dakota row 115 : gila | 805 | usa | new mexico row 116 : gila | 805 | usa | arizona row 117 : hudson | 492 | usa | new york row 118 : hudson | 492 | usa | new jersey row 119 : neosho | 740 | usa | kansas row 120 : neosho | 740 | usa | oklahoma row 121 : niobrara | 693 | usa | wyoming row 122 : niobrara | 693 | usa | nebraska row 123 : ouachita | 973 | usa | arkansas row 124 : ouachita | 973 | usa | louisiana row 125 : pearl | 788 | usa | michigan row 126 : pearl | 788 | usa | louisiana row 127 : pecos | 805 | usa | new mexico row 128 : pecos | 805 | usa | texas row 129 : powder | 603 | usa | wyoming row 130 : powder | 603 | usa | montana row 131 : roanoke | 660 | usa | virginia row 132 : roanoke | 660 | usa | north carolina row 133 : rock | 459 | usa | wisconsin row 134 : rock | 459 | usa | illinois row 135 : smoky hill | 869 | usa | colorado row 136 : smoky hill | 869 | usa | kansas row 137 : south platte | 682 | usa | colorado row 138 : south platte | 682 | usa | nebraska row 139 : st. francis | 684 | usa | missouri row 140 : st. francis | 684 | usa | arkansas row 141 : tombigbee | 658 | usa | mississippi row 142 : tombigbee | 658 | usa | alabama row 143 : washita | 805 | usa | texas row 144 : washita | 805 | usa | oklahoma row 145 : wateree catawba | 636 | usa | north carolina row 146 : wateree catawba | 636 | usa | south carolina row 147 : white | 1110 | usa | arkansas row 148 : white | 1110 | usa | missouri row 149 : white | 1110 | usa | arkansas
col : traverse row 1 : minnesota row 2 : wisconsin row 3 : iowa row 4 : illinois row 5 : missouri row 6 : kentucky row 7 : tennessee row 8 : arkansas row 9 : mississippi row 10 : louisiana row 11 : louisiana
SELECT city.city_name FROM city WHERE city.state_name='missouri' AND city.population=(SELECT max(city.population) FROM city WHERE city.state_name='missouri');
what is the largest city in missouri
{"columns":["city_name"],"index":[0],"data":[["st. louis"]]}
[ "city" ]
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what is the largest city in missouri <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : city_name row 1 : st. louis
SELECT state.population FROM state WHERE state.state_name='new york';
how many people live in new york
{"columns":["population"],"index":[0],"data":[[17558000]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
how many people live in new york <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : population row 1 : 17558000
SELECT mountain.state_name FROM mountain WHERE mountain.mountain_name='whitney';
where is mount whitney located
{"columns":["state_name"],"index":[0],"data":[["california"]]}
[ "mountain" ]
[ "{\"columns\":[\"mountain_name\",\"mountain_altitude\",\"country_name\",\"state_name\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49],\"data\":[[\"mckinley\",6194,\"usa\",\"alaska\"],[\"st. elias\",5489,\"usa\",\"alaska\"],[\"foraker\",5304,\"usa\",\"alaska\"],[\"bona\",5044,\"usa\",\"alaska\"],[\"blackburn\",4996,\"usa\",\"alaska\"],[\"kennedy\",4964,\"usa\",\"alaska\"],[\"sanford\",4949,\"usa\",\"alaska\"],[\"south buttress\",4842,\"usa\",\"alaska\"],[\"vancouver\",4785,\"usa\",\"alaska\"],[\"churchill\",4766,\"usa\",\"alaska\"],[\"fairweather\",4663,\"usa\",\"alaska\"],[\"hubbard\",4577,\"usa\",\"alaska\"],[\"bear\",4520,\"usa\",\"alaska\"],[\"east buttress\",4490,\"usa\",\"alaska\"],[\"hunter\",4442,\"usa\",\"alaska\"],[\"alverstone\",4439,\"usa\",\"alaska\"],[\"browne tower\",4429,\"usa\",\"alaska\"],[\"wrangell\",4317,\"usa\",\"alaska\"],[\"whitney\",4418,\"usa\",\"california\"],[\"williamson\",4382,\"usa\",\"california\"],[\"white\",4342,\"usa\",\"california\"],[\"north palisade\",4341,\"usa\",\"california\"],[\"shasta\",4317,\"usa\",\"california\"],[\"sill\",4317,\"usa\",\"california\"],[\"elbert\",4399,\"usa\",\"colorado\"],[\"massive\",4396,\"usa\",\"colorado\"],[\"harvard\",4395,\"usa\",\"colorado\"],[\"bianca\",4372,\"usa\",\"colorado\"],[\"la plata\",4370,\"usa\",\"colorado\"],[\"uncompahgre\",4361,\"usa\",\"colorado\"],[\"crestone\",4357,\"usa\",\"colorado\"],[\"lincoln\",4354,\"usa\",\"colorado\"],[\"grays\",4349,\"usa\",\"colorado\"],[\"antero\",4349,\"usa\",\"colorado\"],[\"torreys\",4349,\"usa\",\"colorado\"],[\"castle\",4348,\"usa\",\"colorado\"],[\"quandary\",4348,\"usa\",\"colorado\"],[\"evans\",4348,\"usa\",\"colorado\"],[\"longs\",4345,\"usa\",\"colorado\"],[\"wilson\",4342,\"usa\",\"colorado\"],[\"shavano\",4337,\"usa\",\"colorado\"],[\"belford\",4327,\"usa\",\"colorado\"],[\"princeton\",4327,\"usa\",\"colorado\"],[\"crestone needle\",4327,\"usa\",\"colorado\"],[\"yale\",4327,\"usa\",\"colorado\"],[\"bross\",4320,\"usa\",\"colorado\"],[\"kit carson\",4317,\"usa\",\"colorado\"],[\"el diente\",4316,\"usa\",\"colorado\"],[\"maroon\",4315,\"usa\",\"colorado\"],[\"rainier\",4392,\"usa\",\"washington\"]]}" ]
where is mount whitney located <table_name> : mountain col : mountain_name | mountain_altitude | country_name | state_name row 1 : mckinley | 6194 | usa | alaska row 2 : st. elias | 5489 | usa | alaska row 3 : foraker | 5304 | usa | alaska row 4 : bona | 5044 | usa | alaska row 5 : blackburn | 4996 | usa | alaska row 6 : kennedy | 4964 | usa | alaska row 7 : sanford | 4949 | usa | alaska row 8 : south buttress | 4842 | usa | alaska row 9 : vancouver | 4785 | usa | alaska row 10 : churchill | 4766 | usa | alaska row 11 : fairweather | 4663 | usa | alaska row 12 : hubbard | 4577 | usa | alaska row 13 : bear | 4520 | usa | alaska row 14 : east buttress | 4490 | usa | alaska row 15 : hunter | 4442 | usa | alaska row 16 : alverstone | 4439 | usa | alaska row 17 : browne tower | 4429 | usa | alaska row 18 : wrangell | 4317 | usa | alaska row 19 : whitney | 4418 | usa | california row 20 : williamson | 4382 | usa | california row 21 : white | 4342 | usa | california row 22 : north palisade | 4341 | usa | california row 23 : shasta | 4317 | usa | california row 24 : sill | 4317 | usa | california row 25 : elbert | 4399 | usa | colorado row 26 : massive | 4396 | usa | colorado row 27 : harvard | 4395 | usa | colorado row 28 : bianca | 4372 | usa | colorado row 29 : la plata | 4370 | usa | colorado row 30 : uncompahgre | 4361 | usa | colorado row 31 : crestone | 4357 | usa | colorado row 32 : lincoln | 4354 | usa | colorado row 33 : grays | 4349 | usa | colorado row 34 : antero | 4349 | usa | colorado row 35 : torreys | 4349 | usa | colorado row 36 : castle | 4348 | usa | colorado row 37 : quandary | 4348 | usa | colorado row 38 : evans | 4348 | usa | colorado row 39 : longs | 4345 | usa | colorado row 40 : wilson | 4342 | usa | colorado row 41 : shavano | 4337 | usa | colorado row 42 : belford | 4327 | usa | colorado row 43 : princeton | 4327 | usa | colorado row 44 : crestone needle | 4327 | usa | colorado row 45 : yale | 4327 | usa | colorado row 46 : bross | 4320 | usa | colorado row 47 : kit carson | 4317 | usa | colorado row 48 : el diente | 4316 | usa | colorado row 49 : maroon | 4315 | usa | colorado row 50 : rainier | 4392 | usa | washington
col : state_name row 1 : california
SELECT highlow.highest_point,highlow.state_name FROM highlow WHERE highlow.lowest_elevation=0;
what is the highest point in each state whose lowest point is sea level
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[ "highlow" ]
[ "{\"columns\":[\"state_name\",\"highest_elevation\",\"lowest_point\",\"highest_point\",\"lowest_elevation\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",\"734\",\"gulf of mexico\",\"cheaha mountain\",\"0\"],[\"alaska\",\"6194\",\"pacific ocean\",\"mount mckinley\",\"0\"],[\"arizona\",\"3851\",\"colorado river\",\"humphreys peak\",\"21\"],[\"arkansas\",\"839\",\"ouachita river\",\"magazine mountain\",\"17\"],[\"california\",\"4418\",\"death valley\",\"mount whitney\",\"-85\"],[\"colorado\",\"4399\",\"arkansas river\",\"mount elbert\",\"1021\"],[\"connecticut\",\"725\",\"long island sound\",\"mount frissell\",\"0\"],[\"delaware\",\"135\",\"atlantic ocean\",\"centerville\",\"0\"],[\"district of columbia\",\"125\",\"potomac river\",\"tenleytown\",\"0\"],[\"florida\",\"105\",\"atlantic ocean\",\"walton county\",\"0\"],[\"georgia\",\"1458\",\"atlantic ocean\",\"brasstown bald\",\"0\"],[\"hawaii\",\"4205\",\"pacific ocean\",\"mauna kea\",\"0\"],[\"idaho\",\"3859\",\"snake river\",\"borah peak\",\"216\"],[\"illinois\",\"376\",\"mississippi river\",\"charles mound\",\"85\"],[\"indiana\",\"383\",\"ohio river\",\"franklin township\",\"98\"],[\"iowa\",\"511\",\"mississippi river\",\"ocheyedan mound\",\"146\"],[\"kansas\",\"1231\",\"verdigris river\",\"mount sunflower\",\"207\"],[\"kentucky\",\"1263\",\"mississippi river\",\"black mountain\",\"78\"],[\"louisiana\",\"163\",\"new orleans\",\"driskill mountain\",\"-1\"],[\"maine\",\"1606\",\"atlantic ocean\",\"mount katahdin\",\"0\"],[\"maryland\",\"1024\",\"atlantic ocean\",\"backbone mountain\",\"0\"],[\"massachusetts\",\"1064\",\"atlantic ocean\",\"mount greylock\",\"0\"],[\"michigan\",\"604\",\"lake erie\",\"mount curwood\",\"174\"],[\"minnesota\",\"701\",\"lake superior\",\"eagle mountain\",\"183\"],[\"mississippi\",\"246\",\"gulf of mexico\",\"woodall mountain\",\"0\"],[\"missouri\",\"540\",\"st. francis river\",\"taum sauk mountain\",\"70\"],[\"montana\",\"3901\",\"kootenai river\",\"granite peak\",\"549\"],[\"nebraska\",\"1654\",\"southeast corner\",\"johnson township\",\"256\"],[\"nevada\",\"4005\",\"colorado river\",\"boundary peak\",\"143\"],[\"new hampshire\",\"1917\",\"atlantic ocean\",\"mount washington\",\"0\"],[\"new jersey\",\"550\",\"atlantic ocean\",\"high point\",\"0\"],[\"new mexico\",\"4011\",\"red bluff reservoir\",\"wheeler peak\",\"859\"],[\"new york\",\"1629\",\"atlantic ocean\",\"mount marcy\",\"0\"],[\"north carolina\",\"2037\",\"atlantic ocean\",\"mount mitchell\",\"0\"],[\"north dakota\",\"1069\",\"red river\",\"white butte\",\"229\"],[\"ohio\",\"472\",\"ohio river\",\"campbell hill\",\"132\"],[\"oklahoma\",\"1516\",\"little river\",\"black mesa\",\"87\"],[\"oregon\",\"3424\",\"pacific ocean\",\"mount hood\",\"0\"],[\"pennsylvania\",\"979\",\"delaware river\",\"mount davis\",\"0\"],[\"rhode island\",\"247\",\"atlantic ocean\",\"jerimoth hill\",\"0\"],[\"south carolina\",\"1085\",\"atlantic ocean\",\"sassafras mountain\",\"0\"],[\"south dakota\",\"2207\",\"big stone lake\",\"harney peak\",\"284\"],[\"tennessee\",\"2025\",\"mississippi river\",\"clingmans dome\",\"55\"],[\"texas\",\"2667\",\"gulf of mexico\",\"guadalupe peak\",\"0\"],[\"utah\",\"4123\",\"beaver dam creek\",\"kings peak\",\"610\"],[\"vermont\",\"1339\",\"lake champlain\",\"mount mansfield\",\"29\"],[\"virginia\",\"1746\",\"atlantic ocean\",\"mount rogers\",\"0\"],[\"washington\",\"4392\",\"pacific ocean\",\"mount rainier\",\"0\"],[\"west virginia\",\"1482\",\"potomac river\",\"spruce knob\",\"73\"],[\"wisconsin\",\"595\",\"lake michigan\",\"timms hill\",\"177\"],[\"wyoming\",\"4202\",\"belle fourche river\",\"gannett peak\",\"945\"]]}" ]
what is the highest point in each state whose lowest point is sea level <table_name> : highlow col : state_name | highest_elevation | lowest_point | highest_point | lowest_elevation row 1 : alabama | 734 | gulf of mexico | cheaha mountain | 0 row 2 : alaska | 6194 | pacific ocean | mount mckinley | 0 row 3 : arizona | 3851 | colorado river | humphreys peak | 21 row 4 : arkansas | 839 | ouachita river | magazine mountain | 17 row 5 : california | 4418 | death valley | mount whitney | -85 row 6 : colorado | 4399 | arkansas river | mount elbert | 1021 row 7 : connecticut | 725 | long island sound | mount frissell | 0 row 8 : delaware | 135 | atlantic ocean | centerville | 0 row 9 : district of columbia | 125 | potomac river | tenleytown | 0 row 10 : florida | 105 | atlantic ocean | walton county | 0 row 11 : georgia | 1458 | atlantic ocean | brasstown bald | 0 row 12 : hawaii | 4205 | pacific ocean | mauna kea | 0 row 13 : idaho | 3859 | snake river | borah peak | 216 row 14 : illinois | 376 | mississippi river | charles mound | 85 row 15 : indiana | 383 | ohio river | franklin township | 98 row 16 : iowa | 511 | mississippi river | ocheyedan mound | 146 row 17 : kansas | 1231 | verdigris river | mount sunflower | 207 row 18 : kentucky | 1263 | mississippi river | black mountain | 78 row 19 : louisiana | 163 | new orleans | driskill mountain | -1 row 20 : maine | 1606 | atlantic ocean | mount katahdin | 0 row 21 : maryland | 1024 | atlantic ocean | backbone mountain | 0 row 22 : massachusetts | 1064 | atlantic ocean | mount greylock | 0 row 23 : michigan | 604 | lake erie | mount curwood | 174 row 24 : minnesota | 701 | lake superior | eagle mountain | 183 row 25 : mississippi | 246 | gulf of mexico | woodall mountain | 0 row 26 : missouri | 540 | st. francis river | taum sauk mountain | 70 row 27 : montana | 3901 | kootenai river | granite peak | 549 row 28 : nebraska | 1654 | southeast corner | johnson township | 256 row 29 : nevada | 4005 | colorado river | boundary peak | 143 row 30 : new hampshire | 1917 | atlantic ocean | mount washington | 0 row 31 : new jersey | 550 | atlantic ocean | high point | 0 row 32 : new mexico | 4011 | red bluff reservoir | wheeler peak | 859 row 33 : new york | 1629 | atlantic ocean | mount marcy | 0 row 34 : north carolina | 2037 | atlantic ocean | mount mitchell | 0 row 35 : north dakota | 1069 | red river | white butte | 229 row 36 : ohio | 472 | ohio river | campbell hill | 132 row 37 : oklahoma | 1516 | little river | black mesa | 87 row 38 : oregon | 3424 | pacific ocean | mount hood | 0 row 39 : pennsylvania | 979 | delaware river | mount davis | 0 row 40 : rhode island | 247 | atlantic ocean | jerimoth hill | 0 row 41 : south carolina | 1085 | atlantic ocean | sassafras mountain | 0 row 42 : south dakota | 2207 | big stone lake | harney peak | 284 row 43 : tennessee | 2025 | mississippi river | clingmans dome | 55 row 44 : texas | 2667 | gulf of mexico | guadalupe peak | 0 row 45 : utah | 4123 | beaver dam creek | kings peak | 610 row 46 : vermont | 1339 | lake champlain | mount mansfield | 29 row 47 : virginia | 1746 | atlantic ocean | mount rogers | 0 row 48 : washington | 4392 | pacific ocean | mount rainier | 0 row 49 : west virginia | 1482 | potomac river | spruce knob | 73 row 50 : wisconsin | 595 | lake michigan | timms hill | 177 row 51 : wyoming | 4202 | belle fourche river | gannett peak | 945
col : highest_point | state_name row 1 : cheaha mountain | alabama row 2 : mount mckinley | alaska row 3 : mount frissell | connecticut row 4 : centerville | delaware row 5 : tenleytown | district of columbia row 6 : walton county | florida row 7 : brasstown bald | georgia row 8 : mauna kea | hawaii row 9 : mount katahdin | maine row 10 : backbone mountain | maryland row 11 : mount greylock | massachusetts row 12 : woodall mountain | mississippi row 13 : mount washington | new hampshire row 14 : high point | new jersey row 15 : mount marcy | new york row 16 : mount mitchell | north carolina row 17 : mount hood | oregon row 18 : mount davis | pennsylvania row 19 : jerimoth hill | rhode island row 20 : sassafras mountain | south carolina row 21 : guadalupe peak | texas row 22 : mount rogers | virginia row 23 : mount rainier | washington
SELECT city.population FROM city WHERE city.city_name='portland' AND city.state_name='maine';
what is the population of portland maine
{"columns":["population"],"index":[0],"data":[[61572]]}
[ "city" ]
[ 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arbor\",107969,\"usa\",\"michigan\"],[\"livonia\",104814,\"usa\",\"michigan\"],[\"dearborn\",90660,\"usa\",\"michigan\"],[\"westland\",84603,\"usa\",\"michigan\"],[\"kalamazoo\",79722,\"usa\",\"michigan\"],[\"taylor\",77568,\"usa\",\"michigan\"],[\"saginaw\",77508,\"usa\",\"michigan\"],[\"pontiac\",76715,\"usa\",\"michigan\"],[\"st. clair shores\",76210,\"usa\",\"michigan\"],[\"southfield\",75568,\"usa\",\"michigan\"],[\"clinton\",72400,\"usa\",\"michigan\"],[\"royal oak\",70893,\"usa\",\"michigan\"],[\"dearborn heights\",67706,\"usa\",\"michigan\"],[\"troy\",67102,\"usa\",\"michigan\"],[\"waterford\",64250,\"usa\",\"michigan\"],[\"wyoming\",59616,\"usa\",\"michigan\"],[\"redford\",58441,\"usa\",\"michigan\"],[\"farmington hills\",58056,\"usa\",\"michigan\"],[\"minneapolis\",370951,\"usa\",\"minnesota\"],[\"st. paul\",270230,\"usa\",\"minnesota\"],[\"duluth\",92811,\"usa\",\"minnesota\"],[\"bloomington\",81831,\"usa\",\"minnesota\"],[\"rochester\",57906,\"usa\",\"minnesota\"],[\"jackson\",202895,\"usa\",\"mississippi\"],[\"st. louis\",453085,\"usa\",\"missouri\"],[\"kansas city\",448159,\"usa\",\"missouri\"],[\"springfield\",133116,\"usa\",\"missouri\"],[\"independence\",111797,\"usa\",\"missouri\"],[\"st. joseph\",76691,\"usa\",\"missouri\"],[\"columbia\",62061,\"usa\",\"missouri\"],[\"billings\",66842,\"usa\",\"montana\"],[\"great falls\",56725,\"usa\",\"montana\"],[\"omaha\",314255,\"usa\",\"nebraska\"],[\"lincoln\",171932,\"usa\",\"nebraska\"],[\"las vegas\",164674,\"usa\",\"nevada\"],[\"reno\",100756,\"usa\",\"nevada\"],[\"manchester\",90936,\"usa\",\"new hampshire\"],[\"nashua\",67865,\"usa\",\"new hampshire\"],[\"newark\",329248,\"usa\",\"new jersey\"],[\"jersey city\",223532,\"usa\",\"new jersey\"],[\"paterson\",137970,\"usa\",\"new jersey\"],[\"elizabeth\",106201,\"usa\",\"new jersey\"],[\"trenton\",92124,\"usa\",\"new jersey\"],[\"woodbridge\",90074,\"usa\",\"new jersey\"],[\"camden\",84910,\"usa\",\"new jersey\"],[\"east orange\",77878,\"usa\",\"new jersey\"],[\"clifton\",74388,\"usa\",\"new jersey\"],[\"edison\",70193,\"usa\",\"new jersey\"],[\"cherry hill\",68785,\"usa\",\"new jersey\"],[\"bayonne\",65047,\"usa\",\"new jersey\"],[\"middletown\",61615,\"usa\",\"new jersey\"],[\"irvington\",61493,\"usa\",\"new jersey\"],[\"albuquerque\",331767,\"usa\",\"new mexico\"],[\"new york\",7071639,\"usa\",\"new york\"],[\"buffalo\",357870,\"usa\",\"new york\"],[\"rochester\",241741,\"usa\",\"new york\"],[\"yonkers\",195351,\"usa\",\"new york\"],[\"syracuse\",170105,\"usa\",\"new york\"],[\"albany\",101727,\"usa\",\"new york\"],[\"cheektowaga\",92145,\"usa\",\"new york\"],[\"utica\",75632,\"usa\",\"new york\"],[\"niagara falls\",71384,\"usa\",\"new york\"],[\"new rochelle\",70794,\"usa\",\"new york\"],[\"schenectady\",67972,\"usa\",\"new york\"],[\"mount vernon\",66713,\"usa\",\"new york\"],[\"irondequoit\",57648,\"usa\",\"new york\"],[\"levittown\",57045,\"usa\",\"new york\"],[\"charlotte\",314447,\"usa\",\"north carolina\"],[\"greensboro\",155642,\"usa\",\"north carolina\"],[\"raleigh\",149771,\"usa\",\"north carolina\"],[\"winston-salem\",131885,\"usa\",\"north carolina\"],[\"durham\",100538,\"usa\",\"north carolina\"],[\"high point\",64107,\"usa\",\"north carolina\"],[\"fayetteville\",59507,\"usa\",\"north carolina\"],[\"fargo\",61308,\"usa\",\"north dakota\"],[\"cleveland\",573822,\"usa\",\"ohio\"],[\"columbus\",564871,\"usa\",\"ohio\"],[\"cincinnati\",385457,\"usa\",\"ohio\"],[\"toledo\",354635,\"usa\",\"ohio\"],[\"akron\",237177,\"usa\",\"ohio\"],[\"dayton\",203371,\"usa\",\"ohio\"],[\"youngstown\",115436,\"usa\",\"ohio\"],[\"canton\",93077,\"usa\",\"ohio\"],[\"parma\",92548,\"usa\",\"ohio\"],[\"lorain\",75416,\"usa\",\"ohio\"],[\"springfield\",72563,\"usa\",\"ohio\"],[\"hamilton\",63189,\"usa\",\"ohio\"],[\"lakewood\",61963,\"usa\",\"ohio\"],[\"kettering\",61186,\"usa\",\"ohio\"],[\"euclid\",59999,\"usa\",\"ohio\"],[\"elyria\",57504,\"usa\",\"ohio\"],[\"oklahoma city\",403213,\"usa\",\"oklahoma\"],[\"tulsa\",360919,\"usa\",\"oklahoma\"],[\"lawton\",80054,\"usa\",\"oklahoma\"],[\"norman\",68020,\"usa\",\"oklahoma\"],[\"portland\",366383,\"usa\",\"oregon\"],[\"eugene\",105664,\"usa\",\"oregon\"],[\"salem\",89233,\"usa\",\"oregon\"],[\"philadelphia\",1688210,\"usa\",\"pennsylvania\"],[\"pittsburgh\",423938,\"usa\",\"pennsylvania\"],[\"erie\",119123,\"usa\",\"pennsylvania\"],[\"allentown\",103758,\"usa\",\"pennsylvania\"],[\"scranton\",88117,\"usa\",\"pennsylvania\"],[\"upper darby\",84054,\"usa\",\"pennsylvania\"],[\"reading\",78686,\"usa\",\"pennsylvania\"],[\"bethlehem\",70419,\"usa\",\"pennsylvania\"],[\"lower merion\",59651,\"usa\",\"pennsylvania\"],[\"abingdon\",59084,\"usa\",\"pennsylvania\"],[\"bristol township\",58733,\"usa\",\"pennsylvania\"],[\"penn hills\",57632,\"usa\",\"pennsylvania\"],[\"altoona\",57078,\"usa\",\"pennsylvania\"],[\"providence\",156804,\"usa\",\"rhode island\"],[\"warwick\",87123,\"usa\",\"rhode island\"],[\"cranston\",71992,\"usa\",\"rhode island\"],[\"pawtucket\",71204,\"usa\",\"rhode island\"],[\"columbia\",101229,\"usa\",\"south carolina\"],[\"charleston\",69855,\"usa\",\"south carolina\"],[\"north charleston\",62504,\"usa\",\"south carolina\"],[\"greenville\",58242,\"usa\",\"south carolina\"],[\"sioux falls\",81343,\"usa\",\"south dakota\"],[\"memphis\",646356,\"usa\",\"tennessee\"],[\"nashville\",455651,\"usa\",\"tennessee\"],[\"knoxville\",175030,\"usa\",\"tennessee\"],[\"chattanooga\",169728,\"usa\",\"tennessee\"],[\"houston\",1595138,\"usa\",\"texas\"],[\"dallas\",904078,\"usa\",\"texas\"],[\"san antonio\",785880,\"usa\",\"texas\"],[\"el paso\",425259,\"usa\",\"texas\"],[\"fort worth\",385164,\"usa\",\"texas\"],[\"austin\",345496,\"usa\",\"texas\"],[\"corpus christi\",231999,\"usa\",\"texas\"],[\"lubbock\",173979,\"usa\",\"texas\"],[\"arlington\",160123,\"usa\",\"texas\"],[\"amarillo\",149230,\"usa\",\"texas\"],[\"garland\",138857,\"usa\",\"texas\"],[\"beaumont\",118102,\"usa\",\"texas\"],[\"pasadena\",112560,\"usa\",\"texas\"],[\"irving\",109943,\"usa\",\"texas\"],[\"waco\",101261,\"usa\",\"texas\"],[\"abilene\",98315,\"usa\",\"texas\"],[\"wichita falls\",94201,\"usa\",\"texas\"],[\"laredo\",91449,\"usa\",\"texas\"],[\"odessa\",90027,\"usa\",\"texas\"],[\"brownsville\",84997,\"usa\",\"texas\"],[\"san angelo\",73240,\"usa\",\"texas\"],[\"richardson\",72496,\"usa\",\"texas\"],[\"plano\",72331,\"usa\",\"texas\"],[\"grand prairie\",71462,\"usa\",\"texas\"],[\"midland\",70525,\"usa\",\"texas\"],[\"tyler\",70508,\"usa\",\"texas\"],[\"mesquite\",67053,\"usa\",\"texas\"],[\"mcallen\",67042,\"usa\",\"texas\"],[\"longview\",62762,\"usa\",\"texas\"],[\"port arthur\",61195,\"usa\",\"texas\"],[\"salt lake city\",163034,\"usa\",\"utah\"],[\"provo\",74111,\"usa\",\"utah\"],[\"west valley\",72299,\"usa\",\"utah\"],[\"ogden\",64407,\"usa\",\"utah\"],[\"norfolk\",266979,\"usa\",\"virginia\"],[\"virginia beach\",262199,\"usa\",\"virginia\"],[\"richmond\",219214,\"usa\",\"virginia\"],[\"arlington\",152599,\"usa\",\"virginia\"],[\"newport news\",144903,\"usa\",\"virginia\"],[\"hampton\",122617,\"usa\",\"virginia\"],[\"chesapeake\",114226,\"usa\",\"virginia\"],[\"portsmouth\",104577,\"usa\",\"virginia\"],[\"alexandria\",103217,\"usa\",\"virginia\"],[\"roanoke\",100427,\"usa\",\"virginia\"],[\"lynchburg\",66743,\"usa\",\"virginia\"],[\"seattle\",493846,\"usa\",\"washington\"],[\"spokane\",171300,\"usa\",\"washington\"],[\"tacoma\",158501,\"usa\",\"washington\"],[\"bellevue\",73903,\"usa\",\"washington\"],[\"charleston\",63968,\"usa\",\"west virginia\"],[\"huntington\",63684,\"usa\",\"west virginia\"],[\"milwaukee\",636212,\"usa\",\"wisconsin\"],[\"madison\",170616,\"usa\",\"wisconsin\"],[\"green bay\",87899,\"usa\",\"wisconsin\"],[\"racine\",85725,\"usa\",\"wisconsin\"],[\"kenosha\",77685,\"usa\",\"wisconsin\"],[\"west allis\",63982,\"usa\",\"wisconsin\"],[\"appleton\",58913,\"usa\",\"wisconsin\"],[\"casper\",51016,\"usa\",\"wyoming\"]]}" ]
what is the population of portland maine <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : population row 1 : 61572
SELECT highlow.highest_point FROM highlow,state WHERE highlow.state_name=state.state_name AND state.state_name IN(SELECT state.state_name FROM state WHERE state.area=(SELECT max(state.area) FROM state));
what is the highest point of the state with the largest area
{"columns":["highest_point"],"index":[0],"data":[["mount mckinley"]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what is the highest point of the state with the largest area <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : highest_point row 1 : mount mckinley
SELECT state.country_name FROM state WHERE state.state_name='new hampshire';
where is new hampshire
{"columns":["country_name"],"index":[0],"data":[["usa"]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
where is new hampshire <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : country_name row 1 : usa
SELECT state.country_name FROM state WHERE state.state_name='massachusetts';
where is massachusetts
{"columns":["country_name"],"index":[0],"data":[["usa"]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
where is massachusetts <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : country_name row 1 : usa
SELECT border_info.border FROM border_info WHERE border_info.state_name='iowa';
states bordering iowa
{"columns":["border"],"index":[0,1,2,3,4,5],"data":[["minnesota"],["wisconsin"],["illinois"],["missouri"],["nebraska"],["south dakota"]]}
[ "border_info" ]
[ "{\"columns\":[\"state_name\",\"border\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217],\"data\":[[\"alabama\",\"tennessee\"],[\"alabama\",\"georgia\"],[\"alabama\",\"florida\"],[\"alabama\",\"mississippi\"],[\"arizona\",\"utah\"],[\"arizona\",\"colorado\"],[\"arizona\",\"new mexico\"],[\"arizona\",\"california\"],[\"arizona\",\"nevada\"],[\"arkansas\",\"missouri\"],[\"arkansas\",\"tennessee\"],[\"arkansas\",\"mississippi\"],[\"arkansas\",\"louisiana\"],[\"arkansas\",\"texas\"],[\"arkansas\",\"oklahoma\"],[\"california\",\"oregon\"],[\"california\",\"nevada\"],[\"california\",\"arizona\"],[\"colorado\",\"nebraska\"],[\"colorado\",\"kansas\"],[\"colorado\",\"oklahoma\"],[\"colorado\",\"new mexico\"],[\"colorado\",\"arizona\"],[\"colorado\",\"utah\"],[\"colorado\",\"wyoming\"],[\"connecticut\",\"massachusetts\"],[\"connecticut\",\"rhode island\"],[\"connecticut\",\"new york\"],[\"delaware\",\"pennsylvania\"],[\"delaware\",\"new jersey\"],[\"delaware\",\"maryland\"],[\"district of columbia\",\"maryland\"],[\"district of columbia\",\"virginia\"],[\"florida\",\"georgia\"],[\"florida\",\"alabama\"],[\"georgia\",\"north carolina\"],[\"georgia\",\"south carolina\"],[\"georgia\",\"florida\"],[\"georgia\",\"alabama\"],[\"georgia\",\"tennessee\"],[\"idaho\",\"montana\"],[\"idaho\",\"wyoming\"],[\"idaho\",\"utah\"],[\"idaho\",\"nevada\"],[\"idaho\",\"oregon\"],[\"idaho\",\"washington\"],[\"illinois\",\"wisconsin\"],[\"illinois\",\"indiana\"],[\"illinois\",\"kentucky\"],[\"illinois\",\"missouri\"],[\"illinois\",\"iowa\"],[\"indiana\",\"michigan\"],[\"indiana\",\"ohio\"],[\"indiana\",\"kentucky\"],[\"indiana\",\"illinois\"],[\"iowa\",\"minnesota\"],[\"iowa\",\"wisconsin\"],[\"iowa\",\"illinois\"],[\"iowa\",\"missouri\"],[\"iowa\",\"nebraska\"],[\"iowa\",\"south dakota\"],[\"kansas\",\"nebraska\"],[\"kansas\",\"missouri\"],[\"kansas\",\"oklahoma\"],[\"kansas\",\"colorado\"],[\"kentucky\",\"indiana\"],[\"kentucky\",\"ohio\"],[\"kentucky\",\"west virginia\"],[\"kentucky\",\"virginia\"],[\"kentucky\",\"tennessee\"],[\"kentucky\",\"missouri\"],[\"kentucky\",\"illinois\"],[\"louisiana\",\"arkansas\"],[\"louisiana\",\"mississippi\"],[\"louisiana\",\"texas\"],[\"maine\",\"new hampshire\"],[\"maryland\",\"pennsylvania\"],[\"maryland\",\"delaware\"],[\"maryland\",\"virginia\"],[\"maryland\",\"district of columbia\"],[\"maryland\",\"west virginia\"],[\"massachusetts\",\"new hampshire\"],[\"massachusetts\",\"rhode island\"],[\"massachusetts\",\"connecticut\"],[\"massachusetts\",\"new york\"],[\"massachusetts\",\"vermont\"],[\"michigan\",\"ohio\"],[\"michigan\",\"indiana\"],[\"michigan\",\"wisconsin\"],[\"minnesota\",\"wisconsin\"],[\"minnesota\",\"iowa\"],[\"minnesota\",\"south dakota\"],[\"minnesota\",\"north dakota\"],[\"mississippi\",\"tennessee\"],[\"mississippi\",\"alabama\"],[\"mississippi\",\"louisiana\"],[\"mississippi\",\"arkansas\"],[\"missouri\",\"iowa\"],[\"missouri\",\"illinois\"],[\"missouri\",\"kentucky\"],[\"missouri\",\"tennessee\"],[\"missouri\",\"arkansas\"],[\"missouri\",\"oklahoma\"],[\"missouri\",\"kansas\"],[\"missouri\",\"nebraska\"],[\"montana\",\"north dakota\"],[\"montana\",\"south dakota\"],[\"montana\",\"wyoming\"],[\"montana\",\"idaho\"],[\"nebraska\",\"south dakota\"],[\"nebraska\",\"iowa\"],[\"nebraska\",\"missouri\"],[\"nebraska\",\"kansas\"],[\"nebraska\",\"colorado\"],[\"nebraska\",\"wyoming\"],[\"nevada\",\"idaho\"],[\"nevada\",\"utah\"],[\"nevada\",\"arizona\"],[\"nevada\",\"california\"],[\"nevada\",\"oregon\"],[\"new hampshire\",\"maine\"],[\"new hampshire\",\"massachusetts\"],[\"new hampshire\",\"vermont\"],[\"new jersey\",\"new york\"],[\"new jersey\",\"delaware\"],[\"new jersey\",\"pennsylvania\"],[\"new mexico\",\"colorado\"],[\"new mexico\",\"oklahoma\"],[\"new mexico\",\"texas\"],[\"new mexico\",\"arizona\"],[\"new mexico\",\"utah\"],[\"new york\",\"vermont\"],[\"new york\",\"massachusetts\"],[\"new york\",\"connecticut\"],[\"new york\",\"new jersey\"],[\"new york\",\"pennsylvania\"],[\"north carolina\",\"virginia\"],[\"north carolina\",\"south carolina\"],[\"north carolina\",\"georgia\"],[\"north carolina\",\"tennessee\"],[\"north dakota\",\"minnesota\"],[\"north dakota\",\"south dakota\"],[\"north dakota\",\"montana\"],[\"ohio\",\"michigan\"],[\"ohio\",\"pennsylvania\"],[\"ohio\",\"west virginia\"],[\"ohio\",\"kentucky\"],[\"ohio\",\"indiana\"],[\"oklahoma\",\"kansas\"],[\"oklahoma\",\"missouri\"],[\"oklahoma\",\"arkansas\"],[\"oklahoma\",\"texas\"],[\"oklahoma\",\"new mexico\"],[\"oklahoma\",\"colorado\"],[\"oregon\",\"washington\"],[\"oregon\",\"idaho\"],[\"oregon\",\"nevada\"],[\"oregon\",\"california\"],[\"pennsylvania\",\"new york\"],[\"pennsylvania\",\"new jersey\"],[\"pennsylvania\",\"delaware\"],[\"pennsylvania\",\"maryland\"],[\"pennsylvania\",\"west virginia\"],[\"pennsylvania\",\"ohio\"],[\"rhode island\",\"massachusetts\"],[\"rhode island\",\"connecticut\"],[\"south carolina\",\"north carolina\"],[\"south carolina\",\"georgia\"],[\"south dakota\",\"north dakota\"],[\"south dakota\",\"minnesota\"],[\"south dakota\",\"iowa\"],[\"south dakota\",\"nebraska\"],[\"south dakota\",\"wyoming\"],[\"south dakota\",\"montana\"],[\"tennessee\",\"kentucky\"],[\"tennessee\",\"virginia\"],[\"tennessee\",\"north carolina\"],[\"tennessee\",\"georgia\"],[\"tennessee\",\"alabama\"],[\"tennessee\",\"mississippi\"],[\"tennessee\",\"arkansas\"],[\"tennessee\",\"missouri\"],[\"texas\",\"oklahoma\"],[\"texas\",\"arkansas\"],[\"texas\",\"louisiana\"],[\"texas\",\"new mexico\"],[\"utah\",\"wyoming\"],[\"utah\",\"colorado\"],[\"utah\",\"new mexico\"],[\"utah\",\"arizona\"],[\"utah\",\"nevada\"],[\"utah\",\"idaho\"],[\"vermont\",\"new hampshire\"],[\"vermont\",\"massachusetts\"],[\"vermont\",\"new york\"],[\"virginia\",\"maryland\"],[\"virginia\",\"district of columbia\"],[\"virginia\",\"north carolina\"],[\"virginia\",\"tennessee\"],[\"virginia\",\"kentucky\"],[\"virginia\",\"west virginia\"],[\"washington\",\"idaho\"],[\"washington\",\"oregon\"],[\"west virginia\",\"pennsylvania\"],[\"west virginia\",\"maryland\"],[\"west virginia\",\"virginia\"],[\"west virginia\",\"kentucky\"],[\"west virginia\",\"ohio\"],[\"wisconsin\",\"michigan\"],[\"wisconsin\",\"illinois\"],[\"wisconsin\",\"iowa\"],[\"wisconsin\",\"minnesota\"],[\"wyoming\",\"montana\"],[\"wyoming\",\"south dakota\"],[\"wyoming\",\"nebraska\"],[\"wyoming\",\"colorado\"],[\"wyoming\",\"utah\"],[\"wyoming\",\"idaho\"]]}" ]
states bordering iowa <table_name> : border_info col : state_name | border row 1 : alabama | tennessee row 2 : alabama | georgia row 3 : alabama | florida row 4 : alabama | mississippi row 5 : arizona | utah row 6 : arizona | colorado row 7 : arizona | new mexico row 8 : arizona | california row 9 : arizona | nevada row 10 : arkansas | missouri row 11 : arkansas | tennessee row 12 : arkansas | mississippi row 13 : arkansas | louisiana row 14 : arkansas | texas row 15 : arkansas | oklahoma row 16 : california | oregon row 17 : california | nevada row 18 : california | arizona row 19 : colorado | nebraska row 20 : colorado | kansas row 21 : colorado | oklahoma row 22 : colorado | new mexico row 23 : colorado | arizona row 24 : colorado | utah row 25 : colorado | wyoming row 26 : connecticut | massachusetts row 27 : connecticut | rhode island row 28 : connecticut | new york row 29 : delaware | pennsylvania row 30 : delaware | new jersey row 31 : delaware | maryland row 32 : district of columbia | maryland row 33 : district of columbia | virginia row 34 : florida | georgia row 35 : florida | alabama row 36 : georgia | north carolina row 37 : georgia | south carolina row 38 : georgia | florida row 39 : georgia | alabama row 40 : georgia | tennessee row 41 : idaho | montana row 42 : idaho | wyoming row 43 : idaho | utah row 44 : idaho | nevada row 45 : idaho | oregon row 46 : idaho | washington row 47 : illinois | wisconsin row 48 : illinois | indiana row 49 : illinois | kentucky row 50 : illinois | missouri row 51 : illinois | iowa row 52 : indiana | michigan row 53 : indiana | ohio row 54 : indiana | kentucky row 55 : indiana | illinois row 56 : iowa | minnesota row 57 : iowa | wisconsin row 58 : iowa | illinois row 59 : iowa | missouri row 60 : iowa | nebraska row 61 : iowa | south dakota row 62 : kansas | nebraska row 63 : kansas | missouri row 64 : kansas | oklahoma row 65 : kansas | colorado row 66 : kentucky | indiana row 67 : kentucky | ohio row 68 : kentucky | west virginia row 69 : kentucky | virginia row 70 : kentucky | tennessee row 71 : kentucky | missouri row 72 : kentucky | illinois row 73 : louisiana | arkansas row 74 : louisiana | mississippi row 75 : louisiana | texas row 76 : maine | new hampshire row 77 : maryland | pennsylvania row 78 : maryland | delaware row 79 : maryland | virginia row 80 : maryland | district of columbia row 81 : maryland | west virginia row 82 : massachusetts | new hampshire row 83 : massachusetts | rhode island row 84 : massachusetts | connecticut row 85 : massachusetts | new york row 86 : massachusetts | vermont row 87 : michigan | ohio row 88 : michigan | indiana row 89 : michigan | wisconsin row 90 : minnesota | wisconsin row 91 : minnesota | iowa row 92 : minnesota | south dakota row 93 : minnesota | north dakota row 94 : mississippi | tennessee row 95 : mississippi | alabama row 96 : mississippi | louisiana row 97 : mississippi | arkansas row 98 : missouri | iowa row 99 : missouri | illinois row 100 : missouri | kentucky row 101 : missouri | tennessee row 102 : missouri | arkansas row 103 : missouri | oklahoma row 104 : missouri | kansas row 105 : missouri | nebraska row 106 : montana | north dakota row 107 : montana | south dakota row 108 : montana | wyoming row 109 : montana | idaho row 110 : nebraska | south dakota row 111 : nebraska | iowa row 112 : nebraska | missouri row 113 : nebraska | kansas row 114 : nebraska | colorado row 115 : nebraska | wyoming row 116 : nevada | idaho row 117 : nevada | utah row 118 : nevada | arizona row 119 : nevada | california row 120 : nevada | oregon row 121 : new hampshire | maine row 122 : new hampshire | massachusetts row 123 : new hampshire | vermont row 124 : new jersey | new york row 125 : new jersey | delaware row 126 : new jersey | pennsylvania row 127 : new mexico | colorado row 128 : new mexico | oklahoma row 129 : new mexico | texas row 130 : new mexico | arizona row 131 : new mexico | utah row 132 : new york | vermont row 133 : new york | massachusetts row 134 : new york | connecticut row 135 : new york | new jersey row 136 : new york | pennsylvania row 137 : north carolina | virginia row 138 : north carolina | south carolina row 139 : north carolina | georgia row 140 : north carolina | tennessee row 141 : north dakota | minnesota row 142 : north dakota | south dakota row 143 : north dakota | montana row 144 : ohio | michigan row 145 : ohio | pennsylvania row 146 : ohio | west virginia row 147 : ohio | kentucky row 148 : ohio | indiana row 149 : oklahoma | kansas row 150 : oklahoma | missouri row 151 : oklahoma | arkansas row 152 : oklahoma | texas row 153 : oklahoma | new mexico row 154 : oklahoma | colorado row 155 : oregon | washington row 156 : oregon | idaho row 157 : oregon | nevada row 158 : oregon | california row 159 : pennsylvania | new york row 160 : pennsylvania | new jersey row 161 : pennsylvania | delaware row 162 : pennsylvania | maryland row 163 : pennsylvania | west virginia row 164 : pennsylvania | ohio row 165 : rhode island | massachusetts row 166 : rhode island | connecticut row 167 : south carolina | north carolina row 168 : south carolina | georgia row 169 : south dakota | north dakota row 170 : south dakota | minnesota row 171 : south dakota | iowa row 172 : south dakota | nebraska row 173 : south dakota | wyoming row 174 : south dakota | montana row 175 : tennessee | kentucky row 176 : tennessee | virginia row 177 : tennessee | north carolina row 178 : tennessee | georgia row 179 : tennessee | alabama row 180 : tennessee | mississippi row 181 : tennessee | arkansas row 182 : tennessee | missouri row 183 : texas | oklahoma row 184 : texas | arkansas row 185 : texas | louisiana row 186 : texas | new mexico row 187 : utah | wyoming row 188 : utah | colorado row 189 : utah | new mexico row 190 : utah | arizona row 191 : utah | nevada row 192 : utah | idaho row 193 : vermont | new hampshire row 194 : vermont | massachusetts row 195 : vermont | new york row 196 : virginia | maryland row 197 : virginia | district of columbia row 198 : virginia | north carolina row 199 : virginia | tennessee row 200 : virginia | kentucky row 201 : virginia | west virginia row 202 : washington | idaho row 203 : washington | oregon row 204 : west virginia | pennsylvania row 205 : west virginia | maryland row 206 : west virginia | virginia row 207 : west virginia | kentucky row 208 : west virginia | ohio row 209 : wisconsin | michigan row 210 : wisconsin | illinois row 211 : wisconsin | iowa row 212 : wisconsin | minnesota row 213 : wyoming | montana row 214 : wyoming | south dakota row 215 : wyoming | nebraska row 216 : wyoming | colorado row 217 : wyoming | utah row 218 : wyoming | idaho
col : border row 1 : minnesota row 2 : wisconsin row 3 : illinois row 4 : missouri row 5 : nebraska row 6 : south dakota
SELECT border_info.border FROM border_info WHERE border_info.state_name='alabama';
which states border alabama
{"columns":["border"],"index":[0,1,2,3],"data":[["tennessee"],["georgia"],["florida"],["mississippi"]]}
[ "border_info" ]
[ "{\"columns\":[\"state_name\",\"border\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217],\"data\":[[\"alabama\",\"tennessee\"],[\"alabama\",\"georgia\"],[\"alabama\",\"florida\"],[\"alabama\",\"mississippi\"],[\"arizona\",\"utah\"],[\"arizona\",\"colorado\"],[\"arizona\",\"new mexico\"],[\"arizona\",\"california\"],[\"arizona\",\"nevada\"],[\"arkansas\",\"missouri\"],[\"arkansas\",\"tennessee\"],[\"arkansas\",\"mississippi\"],[\"arkansas\",\"louisiana\"],[\"arkansas\",\"texas\"],[\"arkansas\",\"oklahoma\"],[\"california\",\"oregon\"],[\"california\",\"nevada\"],[\"california\",\"arizona\"],[\"colorado\",\"nebraska\"],[\"colorado\",\"kansas\"],[\"colorado\",\"oklahoma\"],[\"colorado\",\"new mexico\"],[\"colorado\",\"arizona\"],[\"colorado\",\"utah\"],[\"colorado\",\"wyoming\"],[\"connecticut\",\"massachusetts\"],[\"connecticut\",\"rhode island\"],[\"connecticut\",\"new york\"],[\"delaware\",\"pennsylvania\"],[\"delaware\",\"new jersey\"],[\"delaware\",\"maryland\"],[\"district of columbia\",\"maryland\"],[\"district of columbia\",\"virginia\"],[\"florida\",\"georgia\"],[\"florida\",\"alabama\"],[\"georgia\",\"north carolina\"],[\"georgia\",\"south carolina\"],[\"georgia\",\"florida\"],[\"georgia\",\"alabama\"],[\"georgia\",\"tennessee\"],[\"idaho\",\"montana\"],[\"idaho\",\"wyoming\"],[\"idaho\",\"utah\"],[\"idaho\",\"nevada\"],[\"idaho\",\"oregon\"],[\"idaho\",\"washington\"],[\"illinois\",\"wisconsin\"],[\"illinois\",\"indiana\"],[\"illinois\",\"kentucky\"],[\"illinois\",\"missouri\"],[\"illinois\",\"iowa\"],[\"indiana\",\"michigan\"],[\"indiana\",\"ohio\"],[\"indiana\",\"kentucky\"],[\"indiana\",\"illinois\"],[\"iowa\",\"minnesota\"],[\"iowa\",\"wisconsin\"],[\"iowa\",\"illinois\"],[\"iowa\",\"missouri\"],[\"iowa\",\"nebraska\"],[\"iowa\",\"south dakota\"],[\"kansas\",\"nebraska\"],[\"kansas\",\"missouri\"],[\"kansas\",\"oklahoma\"],[\"kansas\",\"colorado\"],[\"kentucky\",\"indiana\"],[\"kentucky\",\"ohio\"],[\"kentucky\",\"west virginia\"],[\"kentucky\",\"virginia\"],[\"kentucky\",\"tennessee\"],[\"kentucky\",\"missouri\"],[\"kentucky\",\"illinois\"],[\"louisiana\",\"arkansas\"],[\"louisiana\",\"mississippi\"],[\"louisiana\",\"texas\"],[\"maine\",\"new hampshire\"],[\"maryland\",\"pennsylvania\"],[\"maryland\",\"delaware\"],[\"maryland\",\"virginia\"],[\"maryland\",\"district of columbia\"],[\"maryland\",\"west virginia\"],[\"massachusetts\",\"new hampshire\"],[\"massachusetts\",\"rhode island\"],[\"massachusetts\",\"connecticut\"],[\"massachusetts\",\"new york\"],[\"massachusetts\",\"vermont\"],[\"michigan\",\"ohio\"],[\"michigan\",\"indiana\"],[\"michigan\",\"wisconsin\"],[\"minnesota\",\"wisconsin\"],[\"minnesota\",\"iowa\"],[\"minnesota\",\"south dakota\"],[\"minnesota\",\"north dakota\"],[\"mississippi\",\"tennessee\"],[\"mississippi\",\"alabama\"],[\"mississippi\",\"louisiana\"],[\"mississippi\",\"arkansas\"],[\"missouri\",\"iowa\"],[\"missouri\",\"illinois\"],[\"missouri\",\"kentucky\"],[\"missouri\",\"tennessee\"],[\"missouri\",\"arkansas\"],[\"missouri\",\"oklahoma\"],[\"missouri\",\"kansas\"],[\"missouri\",\"nebraska\"],[\"montana\",\"north dakota\"],[\"montana\",\"south dakota\"],[\"montana\",\"wyoming\"],[\"montana\",\"idaho\"],[\"nebraska\",\"south dakota\"],[\"nebraska\",\"iowa\"],[\"nebraska\",\"missouri\"],[\"nebraska\",\"kansas\"],[\"nebraska\",\"colorado\"],[\"nebraska\",\"wyoming\"],[\"nevada\",\"idaho\"],[\"nevada\",\"utah\"],[\"nevada\",\"arizona\"],[\"nevada\",\"california\"],[\"nevada\",\"oregon\"],[\"new hampshire\",\"maine\"],[\"new hampshire\",\"massachusetts\"],[\"new hampshire\",\"vermont\"],[\"new jersey\",\"new york\"],[\"new jersey\",\"delaware\"],[\"new jersey\",\"pennsylvania\"],[\"new mexico\",\"colorado\"],[\"new mexico\",\"oklahoma\"],[\"new mexico\",\"texas\"],[\"new mexico\",\"arizona\"],[\"new mexico\",\"utah\"],[\"new york\",\"vermont\"],[\"new york\",\"massachusetts\"],[\"new york\",\"connecticut\"],[\"new york\",\"new jersey\"],[\"new york\",\"pennsylvania\"],[\"north carolina\",\"virginia\"],[\"north carolina\",\"south carolina\"],[\"north carolina\",\"georgia\"],[\"north carolina\",\"tennessee\"],[\"north dakota\",\"minnesota\"],[\"north dakota\",\"south dakota\"],[\"north dakota\",\"montana\"],[\"ohio\",\"michigan\"],[\"ohio\",\"pennsylvania\"],[\"ohio\",\"west virginia\"],[\"ohio\",\"kentucky\"],[\"ohio\",\"indiana\"],[\"oklahoma\",\"kansas\"],[\"oklahoma\",\"missouri\"],[\"oklahoma\",\"arkansas\"],[\"oklahoma\",\"texas\"],[\"oklahoma\",\"new mexico\"],[\"oklahoma\",\"colorado\"],[\"oregon\",\"washington\"],[\"oregon\",\"idaho\"],[\"oregon\",\"nevada\"],[\"oregon\",\"california\"],[\"pennsylvania\",\"new york\"],[\"pennsylvania\",\"new jersey\"],[\"pennsylvania\",\"delaware\"],[\"pennsylvania\",\"maryland\"],[\"pennsylvania\",\"west virginia\"],[\"pennsylvania\",\"ohio\"],[\"rhode island\",\"massachusetts\"],[\"rhode island\",\"connecticut\"],[\"south carolina\",\"north carolina\"],[\"south carolina\",\"georgia\"],[\"south dakota\",\"north dakota\"],[\"south dakota\",\"minnesota\"],[\"south dakota\",\"iowa\"],[\"south dakota\",\"nebraska\"],[\"south dakota\",\"wyoming\"],[\"south dakota\",\"montana\"],[\"tennessee\",\"kentucky\"],[\"tennessee\",\"virginia\"],[\"tennessee\",\"north carolina\"],[\"tennessee\",\"georgia\"],[\"tennessee\",\"alabama\"],[\"tennessee\",\"mississippi\"],[\"tennessee\",\"arkansas\"],[\"tennessee\",\"missouri\"],[\"texas\",\"oklahoma\"],[\"texas\",\"arkansas\"],[\"texas\",\"louisiana\"],[\"texas\",\"new mexico\"],[\"utah\",\"wyoming\"],[\"utah\",\"colorado\"],[\"utah\",\"new mexico\"],[\"utah\",\"arizona\"],[\"utah\",\"nevada\"],[\"utah\",\"idaho\"],[\"vermont\",\"new hampshire\"],[\"vermont\",\"massachusetts\"],[\"vermont\",\"new york\"],[\"virginia\",\"maryland\"],[\"virginia\",\"district of columbia\"],[\"virginia\",\"north carolina\"],[\"virginia\",\"tennessee\"],[\"virginia\",\"kentucky\"],[\"virginia\",\"west virginia\"],[\"washington\",\"idaho\"],[\"washington\",\"oregon\"],[\"west virginia\",\"pennsylvania\"],[\"west virginia\",\"maryland\"],[\"west virginia\",\"virginia\"],[\"west virginia\",\"kentucky\"],[\"west virginia\",\"ohio\"],[\"wisconsin\",\"michigan\"],[\"wisconsin\",\"illinois\"],[\"wisconsin\",\"iowa\"],[\"wisconsin\",\"minnesota\"],[\"wyoming\",\"montana\"],[\"wyoming\",\"south dakota\"],[\"wyoming\",\"nebraska\"],[\"wyoming\",\"colorado\"],[\"wyoming\",\"utah\"],[\"wyoming\",\"idaho\"]]}" ]
which states border alabama <table_name> : border_info col : state_name | border row 1 : alabama | tennessee row 2 : alabama | georgia row 3 : alabama | florida row 4 : alabama | mississippi row 5 : arizona | utah row 6 : arizona | colorado row 7 : arizona | new mexico row 8 : arizona | california row 9 : arizona | nevada row 10 : arkansas | missouri row 11 : arkansas | tennessee row 12 : arkansas | mississippi row 13 : arkansas | louisiana row 14 : arkansas | texas row 15 : arkansas | oklahoma row 16 : california | oregon row 17 : california | nevada row 18 : california | arizona row 19 : colorado | nebraska row 20 : colorado | kansas row 21 : colorado | oklahoma row 22 : colorado | new mexico row 23 : colorado | arizona row 24 : colorado | utah row 25 : colorado | wyoming row 26 : connecticut | massachusetts row 27 : connecticut | rhode island row 28 : connecticut | new york row 29 : delaware | pennsylvania row 30 : delaware | new jersey row 31 : delaware | maryland row 32 : district of columbia | maryland row 33 : district of columbia | virginia row 34 : florida | georgia row 35 : florida | alabama row 36 : georgia | north carolina row 37 : georgia | south carolina row 38 : georgia | florida row 39 : georgia | alabama row 40 : georgia | tennessee row 41 : idaho | montana row 42 : idaho | wyoming row 43 : idaho | utah row 44 : idaho | nevada row 45 : idaho | oregon row 46 : idaho | washington row 47 : illinois | wisconsin row 48 : illinois | indiana row 49 : illinois | kentucky row 50 : illinois | missouri row 51 : illinois | iowa row 52 : indiana | michigan row 53 : indiana | ohio row 54 : indiana | kentucky row 55 : indiana | illinois row 56 : iowa | minnesota row 57 : iowa | wisconsin row 58 : iowa | illinois row 59 : iowa | missouri row 60 : iowa | nebraska row 61 : iowa | south dakota row 62 : kansas | nebraska row 63 : kansas | missouri row 64 : kansas | oklahoma row 65 : kansas | colorado row 66 : kentucky | indiana row 67 : kentucky | ohio row 68 : kentucky | west virginia row 69 : kentucky | virginia row 70 : kentucky | tennessee row 71 : kentucky | missouri row 72 : kentucky | illinois row 73 : louisiana | arkansas row 74 : louisiana | mississippi row 75 : louisiana | texas row 76 : maine | new hampshire row 77 : maryland | pennsylvania row 78 : maryland | delaware row 79 : maryland | virginia row 80 : maryland | district of columbia row 81 : maryland | west virginia row 82 : massachusetts | new hampshire row 83 : massachusetts | rhode island row 84 : massachusetts | connecticut row 85 : massachusetts | new york row 86 : massachusetts | vermont row 87 : michigan | ohio row 88 : michigan | indiana row 89 : michigan | wisconsin row 90 : minnesota | wisconsin row 91 : minnesota | iowa row 92 : minnesota | south dakota row 93 : minnesota | north dakota row 94 : mississippi | tennessee row 95 : mississippi | alabama row 96 : mississippi | louisiana row 97 : mississippi | arkansas row 98 : missouri | iowa row 99 : missouri | illinois row 100 : missouri | kentucky row 101 : missouri | tennessee row 102 : missouri | arkansas row 103 : missouri | oklahoma row 104 : missouri | kansas row 105 : missouri | nebraska row 106 : montana | north dakota row 107 : montana | south dakota row 108 : montana | wyoming row 109 : montana | idaho row 110 : nebraska | south dakota row 111 : nebraska | iowa row 112 : nebraska | missouri row 113 : nebraska | kansas row 114 : nebraska | colorado row 115 : nebraska | wyoming row 116 : nevada | idaho row 117 : nevada | utah row 118 : nevada | arizona row 119 : nevada | california row 120 : nevada | oregon row 121 : new hampshire | maine row 122 : new hampshire | massachusetts row 123 : new hampshire | vermont row 124 : new jersey | new york row 125 : new jersey | delaware row 126 : new jersey | pennsylvania row 127 : new mexico | colorado row 128 : new mexico | oklahoma row 129 : new mexico | texas row 130 : new mexico | arizona row 131 : new mexico | utah row 132 : new york | vermont row 133 : new york | massachusetts row 134 : new york | connecticut row 135 : new york | new jersey row 136 : new york | pennsylvania row 137 : north carolina | virginia row 138 : north carolina | south carolina row 139 : north carolina | georgia row 140 : north carolina | tennessee row 141 : north dakota | minnesota row 142 : north dakota | south dakota row 143 : north dakota | montana row 144 : ohio | michigan row 145 : ohio | pennsylvania row 146 : ohio | west virginia row 147 : ohio | kentucky row 148 : ohio | indiana row 149 : oklahoma | kansas row 150 : oklahoma | missouri row 151 : oklahoma | arkansas row 152 : oklahoma | texas row 153 : oklahoma | new mexico row 154 : oklahoma | colorado row 155 : oregon | washington row 156 : oregon | idaho row 157 : oregon | nevada row 158 : oregon | california row 159 : pennsylvania | new york row 160 : pennsylvania | new jersey row 161 : pennsylvania | delaware row 162 : pennsylvania | maryland row 163 : pennsylvania | west virginia row 164 : pennsylvania | ohio row 165 : rhode island | massachusetts row 166 : rhode island | connecticut row 167 : south carolina | north carolina row 168 : south carolina | georgia row 169 : south dakota | north dakota row 170 : south dakota | minnesota row 171 : south dakota | iowa row 172 : south dakota | nebraska row 173 : south dakota | wyoming row 174 : south dakota | montana row 175 : tennessee | kentucky row 176 : tennessee | virginia row 177 : tennessee | north carolina row 178 : tennessee | georgia row 179 : tennessee | alabama row 180 : tennessee | mississippi row 181 : tennessee | arkansas row 182 : tennessee | missouri row 183 : texas | oklahoma row 184 : texas | arkansas row 185 : texas | louisiana row 186 : texas | new mexico row 187 : utah | wyoming row 188 : utah | colorado row 189 : utah | new mexico row 190 : utah | arizona row 191 : utah | nevada row 192 : utah | idaho row 193 : vermont | new hampshire row 194 : vermont | massachusetts row 195 : vermont | new york row 196 : virginia | maryland row 197 : virginia | district of columbia row 198 : virginia | north carolina row 199 : virginia | tennessee row 200 : virginia | kentucky row 201 : virginia | west virginia row 202 : washington | idaho row 203 : washington | oregon row 204 : west virginia | pennsylvania row 205 : west virginia | maryland row 206 : west virginia | virginia row 207 : west virginia | kentucky row 208 : west virginia | ohio row 209 : wisconsin | michigan row 210 : wisconsin | illinois row 211 : wisconsin | iowa row 212 : wisconsin | minnesota row 213 : wyoming | montana row 214 : wyoming | south dakota row 215 : wyoming | nebraska row 216 : wyoming | colorado row 217 : wyoming | utah row 218 : wyoming | idaho
col : border row 1 : tennessee row 2 : georgia row 3 : florida row 4 : mississippi
SELECT city.population FROM city WHERE city.city_name='spokane' AND city.state_name='washington';
how many people live in spokane washington
{"columns":["population"],"index":[0],"data":[[171300]]}
[ "city" ]
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christi\",231999,\"usa\",\"texas\"],[\"lubbock\",173979,\"usa\",\"texas\"],[\"arlington\",160123,\"usa\",\"texas\"],[\"amarillo\",149230,\"usa\",\"texas\"],[\"garland\",138857,\"usa\",\"texas\"],[\"beaumont\",118102,\"usa\",\"texas\"],[\"pasadena\",112560,\"usa\",\"texas\"],[\"irving\",109943,\"usa\",\"texas\"],[\"waco\",101261,\"usa\",\"texas\"],[\"abilene\",98315,\"usa\",\"texas\"],[\"wichita falls\",94201,\"usa\",\"texas\"],[\"laredo\",91449,\"usa\",\"texas\"],[\"odessa\",90027,\"usa\",\"texas\"],[\"brownsville\",84997,\"usa\",\"texas\"],[\"san angelo\",73240,\"usa\",\"texas\"],[\"richardson\",72496,\"usa\",\"texas\"],[\"plano\",72331,\"usa\",\"texas\"],[\"grand prairie\",71462,\"usa\",\"texas\"],[\"midland\",70525,\"usa\",\"texas\"],[\"tyler\",70508,\"usa\",\"texas\"],[\"mesquite\",67053,\"usa\",\"texas\"],[\"mcallen\",67042,\"usa\",\"texas\"],[\"longview\",62762,\"usa\",\"texas\"],[\"port arthur\",61195,\"usa\",\"texas\"],[\"salt lake city\",163034,\"usa\",\"utah\"],[\"provo\",74111,\"usa\",\"utah\"],[\"west valley\",72299,\"usa\",\"utah\"],[\"ogden\",64407,\"usa\",\"utah\"],[\"norfolk\",266979,\"usa\",\"virginia\"],[\"virginia beach\",262199,\"usa\",\"virginia\"],[\"richmond\",219214,\"usa\",\"virginia\"],[\"arlington\",152599,\"usa\",\"virginia\"],[\"newport news\",144903,\"usa\",\"virginia\"],[\"hampton\",122617,\"usa\",\"virginia\"],[\"chesapeake\",114226,\"usa\",\"virginia\"],[\"portsmouth\",104577,\"usa\",\"virginia\"],[\"alexandria\",103217,\"usa\",\"virginia\"],[\"roanoke\",100427,\"usa\",\"virginia\"],[\"lynchburg\",66743,\"usa\",\"virginia\"],[\"seattle\",493846,\"usa\",\"washington\"],[\"spokane\",171300,\"usa\",\"washington\"],[\"tacoma\",158501,\"usa\",\"washington\"],[\"bellevue\",73903,\"usa\",\"washington\"],[\"charleston\",63968,\"usa\",\"west virginia\"],[\"huntington\",63684,\"usa\",\"west virginia\"],[\"milwaukee\",636212,\"usa\",\"wisconsin\"],[\"madison\",170616,\"usa\",\"wisconsin\"],[\"green bay\",87899,\"usa\",\"wisconsin\"],[\"racine\",85725,\"usa\",\"wisconsin\"],[\"kenosha\",77685,\"usa\",\"wisconsin\"],[\"west allis\",63982,\"usa\",\"wisconsin\"],[\"appleton\",58913,\"usa\",\"wisconsin\"],[\"casper\",51016,\"usa\",\"wyoming\"]]}" ]
how many people live in spokane washington <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : population row 1 : 171300
SELECT highlow.highest_elevation FROM highlow WHERE highlow.state_name='louisiana';
how high is the highest point of louisiana
{"columns":["highest_elevation"],"index":[0],"data":[["163"]]}
[ "highlow" ]
[ "{\"columns\":[\"state_name\",\"highest_elevation\",\"lowest_point\",\"highest_point\",\"lowest_elevation\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",\"734\",\"gulf of mexico\",\"cheaha mountain\",\"0\"],[\"alaska\",\"6194\",\"pacific ocean\",\"mount mckinley\",\"0\"],[\"arizona\",\"3851\",\"colorado river\",\"humphreys peak\",\"21\"],[\"arkansas\",\"839\",\"ouachita river\",\"magazine mountain\",\"17\"],[\"california\",\"4418\",\"death valley\",\"mount whitney\",\"-85\"],[\"colorado\",\"4399\",\"arkansas river\",\"mount elbert\",\"1021\"],[\"connecticut\",\"725\",\"long island sound\",\"mount frissell\",\"0\"],[\"delaware\",\"135\",\"atlantic ocean\",\"centerville\",\"0\"],[\"district of columbia\",\"125\",\"potomac river\",\"tenleytown\",\"0\"],[\"florida\",\"105\",\"atlantic ocean\",\"walton county\",\"0\"],[\"georgia\",\"1458\",\"atlantic ocean\",\"brasstown bald\",\"0\"],[\"hawaii\",\"4205\",\"pacific ocean\",\"mauna kea\",\"0\"],[\"idaho\",\"3859\",\"snake river\",\"borah peak\",\"216\"],[\"illinois\",\"376\",\"mississippi river\",\"charles mound\",\"85\"],[\"indiana\",\"383\",\"ohio river\",\"franklin township\",\"98\"],[\"iowa\",\"511\",\"mississippi river\",\"ocheyedan mound\",\"146\"],[\"kansas\",\"1231\",\"verdigris river\",\"mount sunflower\",\"207\"],[\"kentucky\",\"1263\",\"mississippi river\",\"black mountain\",\"78\"],[\"louisiana\",\"163\",\"new orleans\",\"driskill mountain\",\"-1\"],[\"maine\",\"1606\",\"atlantic ocean\",\"mount katahdin\",\"0\"],[\"maryland\",\"1024\",\"atlantic ocean\",\"backbone mountain\",\"0\"],[\"massachusetts\",\"1064\",\"atlantic ocean\",\"mount greylock\",\"0\"],[\"michigan\",\"604\",\"lake erie\",\"mount curwood\",\"174\"],[\"minnesota\",\"701\",\"lake superior\",\"eagle mountain\",\"183\"],[\"mississippi\",\"246\",\"gulf of mexico\",\"woodall mountain\",\"0\"],[\"missouri\",\"540\",\"st. francis river\",\"taum sauk mountain\",\"70\"],[\"montana\",\"3901\",\"kootenai river\",\"granite peak\",\"549\"],[\"nebraska\",\"1654\",\"southeast corner\",\"johnson township\",\"256\"],[\"nevada\",\"4005\",\"colorado river\",\"boundary peak\",\"143\"],[\"new hampshire\",\"1917\",\"atlantic ocean\",\"mount washington\",\"0\"],[\"new jersey\",\"550\",\"atlantic ocean\",\"high point\",\"0\"],[\"new mexico\",\"4011\",\"red bluff reservoir\",\"wheeler peak\",\"859\"],[\"new york\",\"1629\",\"atlantic ocean\",\"mount marcy\",\"0\"],[\"north carolina\",\"2037\",\"atlantic ocean\",\"mount mitchell\",\"0\"],[\"north dakota\",\"1069\",\"red river\",\"white butte\",\"229\"],[\"ohio\",\"472\",\"ohio river\",\"campbell hill\",\"132\"],[\"oklahoma\",\"1516\",\"little river\",\"black mesa\",\"87\"],[\"oregon\",\"3424\",\"pacific ocean\",\"mount hood\",\"0\"],[\"pennsylvania\",\"979\",\"delaware river\",\"mount davis\",\"0\"],[\"rhode island\",\"247\",\"atlantic ocean\",\"jerimoth hill\",\"0\"],[\"south carolina\",\"1085\",\"atlantic ocean\",\"sassafras mountain\",\"0\"],[\"south dakota\",\"2207\",\"big stone lake\",\"harney peak\",\"284\"],[\"tennessee\",\"2025\",\"mississippi river\",\"clingmans dome\",\"55\"],[\"texas\",\"2667\",\"gulf of mexico\",\"guadalupe peak\",\"0\"],[\"utah\",\"4123\",\"beaver dam creek\",\"kings peak\",\"610\"],[\"vermont\",\"1339\",\"lake champlain\",\"mount mansfield\",\"29\"],[\"virginia\",\"1746\",\"atlantic ocean\",\"mount rogers\",\"0\"],[\"washington\",\"4392\",\"pacific ocean\",\"mount rainier\",\"0\"],[\"west virginia\",\"1482\",\"potomac river\",\"spruce knob\",\"73\"],[\"wisconsin\",\"595\",\"lake michigan\",\"timms hill\",\"177\"],[\"wyoming\",\"4202\",\"belle fourche river\",\"gannett peak\",\"945\"]]}" ]
how high is the highest point of louisiana <table_name> : highlow col : state_name | highest_elevation | lowest_point | highest_point | lowest_elevation row 1 : alabama | 734 | gulf of mexico | cheaha mountain | 0 row 2 : alaska | 6194 | pacific ocean | mount mckinley | 0 row 3 : arizona | 3851 | colorado river | humphreys peak | 21 row 4 : arkansas | 839 | ouachita river | magazine mountain | 17 row 5 : california | 4418 | death valley | mount whitney | -85 row 6 : colorado | 4399 | arkansas river | mount elbert | 1021 row 7 : connecticut | 725 | long island sound | mount frissell | 0 row 8 : delaware | 135 | atlantic ocean | centerville | 0 row 9 : district of columbia | 125 | potomac river | tenleytown | 0 row 10 : florida | 105 | atlantic ocean | walton county | 0 row 11 : georgia | 1458 | atlantic ocean | brasstown bald | 0 row 12 : hawaii | 4205 | pacific ocean | mauna kea | 0 row 13 : idaho | 3859 | snake river | borah peak | 216 row 14 : illinois | 376 | mississippi river | charles mound | 85 row 15 : indiana | 383 | ohio river | franklin township | 98 row 16 : iowa | 511 | mississippi river | ocheyedan mound | 146 row 17 : kansas | 1231 | verdigris river | mount sunflower | 207 row 18 : kentucky | 1263 | mississippi river | black mountain | 78 row 19 : louisiana | 163 | new orleans | driskill mountain | -1 row 20 : maine | 1606 | atlantic ocean | mount katahdin | 0 row 21 : maryland | 1024 | atlantic ocean | backbone mountain | 0 row 22 : massachusetts | 1064 | atlantic ocean | mount greylock | 0 row 23 : michigan | 604 | lake erie | mount curwood | 174 row 24 : minnesota | 701 | lake superior | eagle mountain | 183 row 25 : mississippi | 246 | gulf of mexico | woodall mountain | 0 row 26 : missouri | 540 | st. francis river | taum sauk mountain | 70 row 27 : montana | 3901 | kootenai river | granite peak | 549 row 28 : nebraska | 1654 | southeast corner | johnson township | 256 row 29 : nevada | 4005 | colorado river | boundary peak | 143 row 30 : new hampshire | 1917 | atlantic ocean | mount washington | 0 row 31 : new jersey | 550 | atlantic ocean | high point | 0 row 32 : new mexico | 4011 | red bluff reservoir | wheeler peak | 859 row 33 : new york | 1629 | atlantic ocean | mount marcy | 0 row 34 : north carolina | 2037 | atlantic ocean | mount mitchell | 0 row 35 : north dakota | 1069 | red river | white butte | 229 row 36 : ohio | 472 | ohio river | campbell hill | 132 row 37 : oklahoma | 1516 | little river | black mesa | 87 row 38 : oregon | 3424 | pacific ocean | mount hood | 0 row 39 : pennsylvania | 979 | delaware river | mount davis | 0 row 40 : rhode island | 247 | atlantic ocean | jerimoth hill | 0 row 41 : south carolina | 1085 | atlantic ocean | sassafras mountain | 0 row 42 : south dakota | 2207 | big stone lake | harney peak | 284 row 43 : tennessee | 2025 | mississippi river | clingmans dome | 55 row 44 : texas | 2667 | gulf of mexico | guadalupe peak | 0 row 45 : utah | 4123 | beaver dam creek | kings peak | 610 row 46 : vermont | 1339 | lake champlain | mount mansfield | 29 row 47 : virginia | 1746 | atlantic ocean | mount rogers | 0 row 48 : washington | 4392 | pacific ocean | mount rainier | 0 row 49 : west virginia | 1482 | potomac river | spruce knob | 73 row 50 : wisconsin | 595 | lake michigan | timms hill | 177 row 51 : wyoming | 4202 | belle fourche river | gannett peak | 945
col : highest_elevation row 1 : 163
SELECT river.river_name FROM river WHERE river.length=(SELECT max(river.length) FROM river);
what is the longest river in the us
{"columns":["river_name"],"index":[0,1,2,3,4,5,6],"data":[["missouri"],["missouri"],["missouri"],["missouri"],["missouri"],["missouri"],["missouri"]]}
[ "river" ]
[ "{\"columns\":[\"river_name\",\"length\",\"country_name\",\"traverse\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148],\"data\":[[\"mississippi\",3778,\"usa\",\"minnesota\"],[\"mississippi\",3778,\"usa\",\"wisconsin\"],[\"mississippi\",3778,\"usa\",\"iowa\"],[\"mississippi\",3778,\"usa\",\"illinois\"],[\"mississippi\",3778,\"usa\",\"missouri\"],[\"mississippi\",3778,\"usa\",\"kentucky\"],[\"mississippi\",3778,\"usa\",\"tennessee\"],[\"mississippi\",3778,\"usa\",\"arkansas\"],[\"mississippi\",3778,\"usa\",\"mississippi\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"missouri\",3968,\"usa\",\"montana\"],[\"missouri\",3968,\"usa\",\"north dakota\"],[\"missouri\",3968,\"usa\",\"south dakota\"],[\"missouri\",3968,\"usa\",\"iowa\"],[\"missouri\",3968,\"usa\",\"nebraska\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"colorado\",2333,\"usa\",\"colorado\"],[\"colorado\",2333,\"usa\",\"utah\"],[\"colorado\",2333,\"usa\",\"arizona\"],[\"colorado\",2333,\"usa\",\"nevada\"],[\"colorado\",2333,\"usa\",\"california\"],[\"ohio\",1569,\"usa\",\"pennsylvania\"],[\"ohio\",1569,\"usa\",\"west virginia\"],[\"ohio\",1569,\"usa\",\"kentucky\"],[\"ohio\",1569,\"usa\",\"indiana\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"ohio\"],[\"red\",1638,\"usa\",\"new mexico\"],[\"red\",1638,\"usa\",\"texas\"],[\"red\",1638,\"usa\",\"oklahoma\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"louisiana\"],[\"arkansas\",2333,\"usa\",\"colorado\"],[\"arkansas\",2333,\"usa\",\"kansas\"],[\"arkansas\",2333,\"usa\",\"oklahoma\"],[\"arkansas\",2333,\"usa\",\"arkansas\"],[\"canadian\",1458,\"usa\",\"colorado\"],[\"canadian\",1458,\"usa\",\"new mexico\"],[\"canadian\",1458,\"usa\",\"texas\"],[\"canadian\",1458,\"usa\",\"oklahoma\"],[\"connecticut\",655,\"usa\",\"new hampshire\"],[\"connecticut\",655,\"usa\",\"vermont\"],[\"connecticut\",655,\"usa\",\"massachusetts\"],[\"connecticut\",655,\"usa\",\"connecticut\"],[\"delaware\",451,\"usa\",\"new york\"],[\"delaware\",451,\"usa\",\"pennsylvania\"],[\"delaware\",451,\"usa\",\"new jersey\"],[\"delaware\",451,\"usa\",\"delaware\"],[\"little missouri\",901,\"usa\",\"wyoming\"],[\"little missouri\",901,\"usa\",\"montana\"],[\"little missouri\",901,\"usa\",\"south dakota\"],[\"little missouri\",901,\"usa\",\"north dakota\"],[\"snake\",1670,\"usa\",\"wyoming\"],[\"snake\",1670,\"usa\",\"idaho\"],[\"snake\",1670,\"usa\",\"oregon\"],[\"snake\",1670,\"usa\",\"washington\"],[\"snake\",1670,\"usa\",\"washington\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"florida\"],[\"cimarron\",965,\"usa\",\"new mexico\"],[\"cimarron\",965,\"usa\",\"kansas\"],[\"cimarron\",965,\"usa\",\"oklahoma\"],[\"green\",1175,\"usa\",\"wyoming\"],[\"green\",1175,\"usa\",\"utah\"],[\"green\",1175,\"usa\",\"colorado\"],[\"green\",1175,\"usa\",\"utah\"],[\"north platte\",1094,\"usa\",\"colorado\"],[\"north platte\",1094,\"usa\",\"wyoming\"],[\"north platte\",1094,\"usa\",\"nebraska\"],[\"potomac\",462,\"usa\",\"west virginia\"],[\"potomac\",462,\"usa\",\"maryland\"],[\"potomac\",462,\"usa\",\"virginia\"],[\"potomac\",462,\"usa\",\"district of columbia\"],[\"republican\",679,\"usa\",\"colorado\"],[\"republican\",679,\"usa\",\"nebraska\"],[\"republican\",679,\"usa\",\"kansas\"],[\"rio grande\",3033,\"usa\",\"colorado\"],[\"rio grande\",3033,\"usa\",\"new mexico\"],[\"rio grande\",3033,\"usa\",\"texas\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"new mexico\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"utah\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"alabama\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"kentucky\"],[\"wabash\",764,\"usa\",\"ohio\"],[\"wabash\",764,\"usa\",\"indiana\"],[\"wabash\",764,\"usa\",\"illinois\"],[\"yellowstone\",1080,\"usa\",\"wyoming\"],[\"yellowstone\",1080,\"usa\",\"montana\"],[\"yellowstone\",1080,\"usa\",\"north dakota\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"allegheny\",523,\"usa\",\"new york\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"bighorn\",541,\"usa\",\"wyoming\"],[\"bighorn\",541,\"usa\",\"montana\"],[\"cheyenne\",848,\"usa\",\"wyoming\"],[\"cheyenne\",848,\"usa\",\"north dakota\"],[\"clark fork\",483,\"usa\",\"montana\"],[\"clark fork\",483,\"usa\",\"idaho\"],[\"columbia\",1953,\"usa\",\"washington\"],[\"columbia\",1953,\"usa\",\"oregon\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"cumberland\",1105,\"usa\",\"tennessee\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"dakota\",1142,\"usa\",\"north dakota\"],[\"dakota\",1142,\"usa\",\"south dakota\"],[\"gila\",805,\"usa\",\"new mexico\"],[\"gila\",805,\"usa\",\"arizona\"],[\"hudson\",492,\"usa\",\"new york\"],[\"hudson\",492,\"usa\",\"new jersey\"],[\"neosho\",740,\"usa\",\"kansas\"],[\"neosho\",740,\"usa\",\"oklahoma\"],[\"niobrara\",693,\"usa\",\"wyoming\"],[\"niobrara\",693,\"usa\",\"nebraska\"],[\"ouachita\",973,\"usa\",\"arkansas\"],[\"ouachita\",973,\"usa\",\"louisiana\"],[\"pearl\",788,\"usa\",\"michigan\"],[\"pearl\",788,\"usa\",\"louisiana\"],[\"pecos\",805,\"usa\",\"new mexico\"],[\"pecos\",805,\"usa\",\"texas\"],[\"powder\",603,\"usa\",\"wyoming\"],[\"powder\",603,\"usa\",\"montana\"],[\"roanoke\",660,\"usa\",\"virginia\"],[\"roanoke\",660,\"usa\",\"north carolina\"],[\"rock\",459,\"usa\",\"wisconsin\"],[\"rock\",459,\"usa\",\"illinois\"],[\"smoky hill\",869,\"usa\",\"colorado\"],[\"smoky hill\",869,\"usa\",\"kansas\"],[\"south platte\",682,\"usa\",\"colorado\"],[\"south platte\",682,\"usa\",\"nebraska\"],[\"st. francis\",684,\"usa\",\"missouri\"],[\"st. francis\",684,\"usa\",\"arkansas\"],[\"tombigbee\",658,\"usa\",\"mississippi\"],[\"tombigbee\",658,\"usa\",\"alabama\"],[\"washita\",805,\"usa\",\"texas\"],[\"washita\",805,\"usa\",\"oklahoma\"],[\"wateree catawba\",636,\"usa\",\"north carolina\"],[\"wateree catawba\",636,\"usa\",\"south carolina\"],[\"white\",1110,\"usa\",\"arkansas\"],[\"white\",1110,\"usa\",\"missouri\"],[\"white\",1110,\"usa\",\"arkansas\"]]}" ]
what is the longest river in the us <table_name> : river col : river_name | length | country_name | traverse row 1 : mississippi | 3778 | usa | minnesota row 2 : mississippi | 3778 | usa | wisconsin row 3 : mississippi | 3778 | usa | iowa row 4 : mississippi | 3778 | usa | illinois row 5 : mississippi | 3778 | usa | missouri row 6 : mississippi | 3778 | usa | kentucky row 7 : mississippi | 3778 | usa | tennessee row 8 : mississippi | 3778 | usa | arkansas row 9 : mississippi | 3778 | usa | mississippi row 10 : mississippi | 3778 | usa | louisiana row 11 : mississippi | 3778 | usa | louisiana row 12 : missouri | 3968 | usa | montana row 13 : missouri | 3968 | usa | north dakota row 14 : missouri | 3968 | usa | south dakota row 15 : missouri | 3968 | usa | iowa row 16 : missouri | 3968 | usa | nebraska row 17 : missouri | 3968 | usa | missouri row 18 : missouri | 3968 | usa | missouri row 19 : colorado | 2333 | usa | colorado row 20 : colorado | 2333 | usa | utah row 21 : colorado | 2333 | usa | arizona row 22 : colorado | 2333 | usa | nevada row 23 : colorado | 2333 | usa | california row 24 : ohio | 1569 | usa | pennsylvania row 25 : ohio | 1569 | usa | west virginia row 26 : ohio | 1569 | usa | kentucky row 27 : ohio | 1569 | usa | indiana row 28 : ohio | 1569 | usa | illinois row 29 : ohio | 1569 | usa | illinois row 30 : ohio | 1569 | usa | ohio row 31 : red | 1638 | usa | new mexico row 32 : red | 1638 | usa | texas row 33 : red | 1638 | usa | oklahoma row 34 : red | 1638 | usa | arkansas row 35 : red | 1638 | usa | arkansas row 36 : red | 1638 | usa | louisiana row 37 : arkansas | 2333 | usa | colorado row 38 : arkansas | 2333 | usa | kansas row 39 : arkansas | 2333 | usa | oklahoma row 40 : arkansas | 2333 | usa | arkansas row 41 : canadian | 1458 | usa | colorado row 42 : canadian | 1458 | usa | new mexico row 43 : canadian | 1458 | usa | texas row 44 : canadian | 1458 | usa | oklahoma row 45 : connecticut | 655 | usa | new hampshire row 46 : connecticut | 655 | usa | vermont row 47 : connecticut | 655 | usa | massachusetts row 48 : connecticut | 655 | usa | connecticut row 49 : delaware | 451 | usa | new york row 50 : delaware | 451 | usa | pennsylvania row 51 : delaware | 451 | usa | new jersey row 52 : delaware | 451 | usa | delaware row 53 : little missouri | 901 | usa | wyoming row 54 : little missouri | 901 | usa | montana row 55 : little missouri | 901 | usa | south dakota row 56 : little missouri | 901 | usa | north dakota row 57 : snake | 1670 | usa | wyoming row 58 : snake | 1670 | usa | idaho row 59 : snake | 1670 | usa | oregon row 60 : snake | 1670 | usa | washington row 61 : snake | 1670 | usa | washington row 62 : chattahoochee | 702 | usa | georgia row 63 : chattahoochee | 702 | usa | georgia row 64 : chattahoochee | 702 | usa | florida row 65 : cimarron | 965 | usa | new mexico row 66 : cimarron | 965 | usa | kansas row 67 : cimarron | 965 | usa | oklahoma row 68 : green | 1175 | usa | wyoming row 69 : green | 1175 | usa | utah row 70 : green | 1175 | usa | colorado row 71 : green | 1175 | usa | utah row 72 : north platte | 1094 | usa | colorado row 73 : north platte | 1094 | usa | wyoming row 74 : north platte | 1094 | usa | nebraska row 75 : potomac | 462 | usa | west virginia row 76 : potomac | 462 | usa | maryland row 77 : potomac | 462 | usa | virginia row 78 : potomac | 462 | usa | district of columbia row 79 : republican | 679 | usa | colorado row 80 : republican | 679 | usa | nebraska row 81 : republican | 679 | usa | kansas row 82 : rio grande | 3033 | usa | colorado row 83 : rio grande | 3033 | usa | new mexico row 84 : rio grande | 3033 | usa | texas row 85 : san juan | 579 | usa | colorado row 86 : san juan | 579 | usa | new mexico row 87 : san juan | 579 | usa | colorado row 88 : san juan | 579 | usa | utah row 89 : tennessee | 1049 | usa | tennessee row 90 : tennessee | 1049 | usa | alabama row 91 : tennessee | 1049 | usa | tennessee row 92 : tennessee | 1049 | usa | kentucky row 93 : wabash | 764 | usa | ohio row 94 : wabash | 764 | usa | indiana row 95 : wabash | 764 | usa | illinois row 96 : yellowstone | 1080 | usa | wyoming row 97 : yellowstone | 1080 | usa | montana row 98 : yellowstone | 1080 | usa | north dakota row 99 : allegheny | 523 | usa | pennsylvania row 100 : allegheny | 523 | usa | new york row 101 : allegheny | 523 | usa | pennsylvania row 102 : bighorn | 541 | usa | wyoming row 103 : bighorn | 541 | usa | montana row 104 : cheyenne | 848 | usa | wyoming row 105 : cheyenne | 848 | usa | north dakota row 106 : clark fork | 483 | usa | montana row 107 : clark fork | 483 | usa | idaho row 108 : columbia | 1953 | usa | washington row 109 : columbia | 1953 | usa | oregon row 110 : cumberland | 1105 | usa | kentucky row 111 : cumberland | 1105 | usa | tennessee row 112 : cumberland | 1105 | usa | kentucky row 113 : dakota | 1142 | usa | north dakota row 114 : dakota | 1142 | usa | south dakota row 115 : gila | 805 | usa | new mexico row 116 : gila | 805 | usa | arizona row 117 : hudson | 492 | usa | new york row 118 : hudson | 492 | usa | new jersey row 119 : neosho | 740 | usa | kansas row 120 : neosho | 740 | usa | oklahoma row 121 : niobrara | 693 | usa | wyoming row 122 : niobrara | 693 | usa | nebraska row 123 : ouachita | 973 | usa | arkansas row 124 : ouachita | 973 | usa | louisiana row 125 : pearl | 788 | usa | michigan row 126 : pearl | 788 | usa | louisiana row 127 : pecos | 805 | usa | new mexico row 128 : pecos | 805 | usa | texas row 129 : powder | 603 | usa | wyoming row 130 : powder | 603 | usa | montana row 131 : roanoke | 660 | usa | virginia row 132 : roanoke | 660 | usa | north carolina row 133 : rock | 459 | usa | wisconsin row 134 : rock | 459 | usa | illinois row 135 : smoky hill | 869 | usa | colorado row 136 : smoky hill | 869 | usa | kansas row 137 : south platte | 682 | usa | colorado row 138 : south platte | 682 | usa | nebraska row 139 : st. francis | 684 | usa | missouri row 140 : st. francis | 684 | usa | arkansas row 141 : tombigbee | 658 | usa | mississippi row 142 : tombigbee | 658 | usa | alabama row 143 : washita | 805 | usa | texas row 144 : washita | 805 | usa | oklahoma row 145 : wateree catawba | 636 | usa | north carolina row 146 : wateree catawba | 636 | usa | south carolina row 147 : white | 1110 | usa | arkansas row 148 : white | 1110 | usa | missouri row 149 : white | 1110 | usa | arkansas
col : river_name row 1 : missouri row 2 : missouri row 3 : missouri row 4 : missouri row 5 : missouri row 6 : missouri row 7 : missouri
SELECT river.river_name FROM river WHERE river.traverse='texas';
what river flows through texas
{"columns":["river_name"],"index":[0,1,2,3,4],"data":[["red"],["canadian"],["rio grande"],["pecos"],["washita"]]}
[ "river" ]
[ "{\"columns\":[\"river_name\",\"length\",\"country_name\",\"traverse\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148],\"data\":[[\"mississippi\",3778,\"usa\",\"minnesota\"],[\"mississippi\",3778,\"usa\",\"wisconsin\"],[\"mississippi\",3778,\"usa\",\"iowa\"],[\"mississippi\",3778,\"usa\",\"illinois\"],[\"mississippi\",3778,\"usa\",\"missouri\"],[\"mississippi\",3778,\"usa\",\"kentucky\"],[\"mississippi\",3778,\"usa\",\"tennessee\"],[\"mississippi\",3778,\"usa\",\"arkansas\"],[\"mississippi\",3778,\"usa\",\"mississippi\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"missouri\",3968,\"usa\",\"montana\"],[\"missouri\",3968,\"usa\",\"north dakota\"],[\"missouri\",3968,\"usa\",\"south dakota\"],[\"missouri\",3968,\"usa\",\"iowa\"],[\"missouri\",3968,\"usa\",\"nebraska\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"colorado\",2333,\"usa\",\"colorado\"],[\"colorado\",2333,\"usa\",\"utah\"],[\"colorado\",2333,\"usa\",\"arizona\"],[\"colorado\",2333,\"usa\",\"nevada\"],[\"colorado\",2333,\"usa\",\"california\"],[\"ohio\",1569,\"usa\",\"pennsylvania\"],[\"ohio\",1569,\"usa\",\"west virginia\"],[\"ohio\",1569,\"usa\",\"kentucky\"],[\"ohio\",1569,\"usa\",\"indiana\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"ohio\"],[\"red\",1638,\"usa\",\"new mexico\"],[\"red\",1638,\"usa\",\"texas\"],[\"red\",1638,\"usa\",\"oklahoma\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"louisiana\"],[\"arkansas\",2333,\"usa\",\"colorado\"],[\"arkansas\",2333,\"usa\",\"kansas\"],[\"arkansas\",2333,\"usa\",\"oklahoma\"],[\"arkansas\",2333,\"usa\",\"arkansas\"],[\"canadian\",1458,\"usa\",\"colorado\"],[\"canadian\",1458,\"usa\",\"new mexico\"],[\"canadian\",1458,\"usa\",\"texas\"],[\"canadian\",1458,\"usa\",\"oklahoma\"],[\"connecticut\",655,\"usa\",\"new hampshire\"],[\"connecticut\",655,\"usa\",\"vermont\"],[\"connecticut\",655,\"usa\",\"massachusetts\"],[\"connecticut\",655,\"usa\",\"connecticut\"],[\"delaware\",451,\"usa\",\"new york\"],[\"delaware\",451,\"usa\",\"pennsylvania\"],[\"delaware\",451,\"usa\",\"new jersey\"],[\"delaware\",451,\"usa\",\"delaware\"],[\"little missouri\",901,\"usa\",\"wyoming\"],[\"little missouri\",901,\"usa\",\"montana\"],[\"little missouri\",901,\"usa\",\"south dakota\"],[\"little missouri\",901,\"usa\",\"north dakota\"],[\"snake\",1670,\"usa\",\"wyoming\"],[\"snake\",1670,\"usa\",\"idaho\"],[\"snake\",1670,\"usa\",\"oregon\"],[\"snake\",1670,\"usa\",\"washington\"],[\"snake\",1670,\"usa\",\"washington\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"florida\"],[\"cimarron\",965,\"usa\",\"new mexico\"],[\"cimarron\",965,\"usa\",\"kansas\"],[\"cimarron\",965,\"usa\",\"oklahoma\"],[\"green\",1175,\"usa\",\"wyoming\"],[\"green\",1175,\"usa\",\"utah\"],[\"green\",1175,\"usa\",\"colorado\"],[\"green\",1175,\"usa\",\"utah\"],[\"north platte\",1094,\"usa\",\"colorado\"],[\"north platte\",1094,\"usa\",\"wyoming\"],[\"north platte\",1094,\"usa\",\"nebraska\"],[\"potomac\",462,\"usa\",\"west virginia\"],[\"potomac\",462,\"usa\",\"maryland\"],[\"potomac\",462,\"usa\",\"virginia\"],[\"potomac\",462,\"usa\",\"district of columbia\"],[\"republican\",679,\"usa\",\"colorado\"],[\"republican\",679,\"usa\",\"nebraska\"],[\"republican\",679,\"usa\",\"kansas\"],[\"rio grande\",3033,\"usa\",\"colorado\"],[\"rio grande\",3033,\"usa\",\"new mexico\"],[\"rio grande\",3033,\"usa\",\"texas\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"new mexico\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"utah\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"alabama\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"kentucky\"],[\"wabash\",764,\"usa\",\"ohio\"],[\"wabash\",764,\"usa\",\"indiana\"],[\"wabash\",764,\"usa\",\"illinois\"],[\"yellowstone\",1080,\"usa\",\"wyoming\"],[\"yellowstone\",1080,\"usa\",\"montana\"],[\"yellowstone\",1080,\"usa\",\"north dakota\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"allegheny\",523,\"usa\",\"new york\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"bighorn\",541,\"usa\",\"wyoming\"],[\"bighorn\",541,\"usa\",\"montana\"],[\"cheyenne\",848,\"usa\",\"wyoming\"],[\"cheyenne\",848,\"usa\",\"north dakota\"],[\"clark fork\",483,\"usa\",\"montana\"],[\"clark fork\",483,\"usa\",\"idaho\"],[\"columbia\",1953,\"usa\",\"washington\"],[\"columbia\",1953,\"usa\",\"oregon\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"cumberland\",1105,\"usa\",\"tennessee\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"dakota\",1142,\"usa\",\"north dakota\"],[\"dakota\",1142,\"usa\",\"south dakota\"],[\"gila\",805,\"usa\",\"new mexico\"],[\"gila\",805,\"usa\",\"arizona\"],[\"hudson\",492,\"usa\",\"new york\"],[\"hudson\",492,\"usa\",\"new jersey\"],[\"neosho\",740,\"usa\",\"kansas\"],[\"neosho\",740,\"usa\",\"oklahoma\"],[\"niobrara\",693,\"usa\",\"wyoming\"],[\"niobrara\",693,\"usa\",\"nebraska\"],[\"ouachita\",973,\"usa\",\"arkansas\"],[\"ouachita\",973,\"usa\",\"louisiana\"],[\"pearl\",788,\"usa\",\"michigan\"],[\"pearl\",788,\"usa\",\"louisiana\"],[\"pecos\",805,\"usa\",\"new mexico\"],[\"pecos\",805,\"usa\",\"texas\"],[\"powder\",603,\"usa\",\"wyoming\"],[\"powder\",603,\"usa\",\"montana\"],[\"roanoke\",660,\"usa\",\"virginia\"],[\"roanoke\",660,\"usa\",\"north carolina\"],[\"rock\",459,\"usa\",\"wisconsin\"],[\"rock\",459,\"usa\",\"illinois\"],[\"smoky hill\",869,\"usa\",\"colorado\"],[\"smoky hill\",869,\"usa\",\"kansas\"],[\"south platte\",682,\"usa\",\"colorado\"],[\"south platte\",682,\"usa\",\"nebraska\"],[\"st. francis\",684,\"usa\",\"missouri\"],[\"st. francis\",684,\"usa\",\"arkansas\"],[\"tombigbee\",658,\"usa\",\"mississippi\"],[\"tombigbee\",658,\"usa\",\"alabama\"],[\"washita\",805,\"usa\",\"texas\"],[\"washita\",805,\"usa\",\"oklahoma\"],[\"wateree catawba\",636,\"usa\",\"north carolina\"],[\"wateree catawba\",636,\"usa\",\"south carolina\"],[\"white\",1110,\"usa\",\"arkansas\"],[\"white\",1110,\"usa\",\"missouri\"],[\"white\",1110,\"usa\",\"arkansas\"]]}" ]
what river flows through texas <table_name> : river col : river_name | length | country_name | traverse row 1 : mississippi | 3778 | usa | minnesota row 2 : mississippi | 3778 | usa | wisconsin row 3 : mississippi | 3778 | usa | iowa row 4 : mississippi | 3778 | usa | illinois row 5 : mississippi | 3778 | usa | missouri row 6 : mississippi | 3778 | usa | kentucky row 7 : mississippi | 3778 | usa | tennessee row 8 : mississippi | 3778 | usa | arkansas row 9 : mississippi | 3778 | usa | mississippi row 10 : mississippi | 3778 | usa | louisiana row 11 : mississippi | 3778 | usa | louisiana row 12 : missouri | 3968 | usa | montana row 13 : missouri | 3968 | usa | north dakota row 14 : missouri | 3968 | usa | south dakota row 15 : missouri | 3968 | usa | iowa row 16 : missouri | 3968 | usa | nebraska row 17 : missouri | 3968 | usa | missouri row 18 : missouri | 3968 | usa | missouri row 19 : colorado | 2333 | usa | colorado row 20 : colorado | 2333 | usa | utah row 21 : colorado | 2333 | usa | arizona row 22 : colorado | 2333 | usa | nevada row 23 : colorado | 2333 | usa | california row 24 : ohio | 1569 | usa | pennsylvania row 25 : ohio | 1569 | usa | west virginia row 26 : ohio | 1569 | usa | kentucky row 27 : ohio | 1569 | usa | indiana row 28 : ohio | 1569 | usa | illinois row 29 : ohio | 1569 | usa | illinois row 30 : ohio | 1569 | usa | ohio row 31 : red | 1638 | usa | new mexico row 32 : red | 1638 | usa | texas row 33 : red | 1638 | usa | oklahoma row 34 : red | 1638 | usa | arkansas row 35 : red | 1638 | usa | arkansas row 36 : red | 1638 | usa | louisiana row 37 : arkansas | 2333 | usa | colorado row 38 : arkansas | 2333 | usa | kansas row 39 : arkansas | 2333 | usa | oklahoma row 40 : arkansas | 2333 | usa | arkansas row 41 : canadian | 1458 | usa | colorado row 42 : canadian | 1458 | usa | new mexico row 43 : canadian | 1458 | usa | texas row 44 : canadian | 1458 | usa | oklahoma row 45 : connecticut | 655 | usa | new hampshire row 46 : connecticut | 655 | usa | vermont row 47 : connecticut | 655 | usa | massachusetts row 48 : connecticut | 655 | usa | connecticut row 49 : delaware | 451 | usa | new york row 50 : delaware | 451 | usa | pennsylvania row 51 : delaware | 451 | usa | new jersey row 52 : delaware | 451 | usa | delaware row 53 : little missouri | 901 | usa | wyoming row 54 : little missouri | 901 | usa | montana row 55 : little missouri | 901 | usa | south dakota row 56 : little missouri | 901 | usa | north dakota row 57 : snake | 1670 | usa | wyoming row 58 : snake | 1670 | usa | idaho row 59 : snake | 1670 | usa | oregon row 60 : snake | 1670 | usa | washington row 61 : snake | 1670 | usa | washington row 62 : chattahoochee | 702 | usa | georgia row 63 : chattahoochee | 702 | usa | georgia row 64 : chattahoochee | 702 | usa | florida row 65 : cimarron | 965 | usa | new mexico row 66 : cimarron | 965 | usa | kansas row 67 : cimarron | 965 | usa | oklahoma row 68 : green | 1175 | usa | wyoming row 69 : green | 1175 | usa | utah row 70 : green | 1175 | usa | colorado row 71 : green | 1175 | usa | utah row 72 : north platte | 1094 | usa | colorado row 73 : north platte | 1094 | usa | wyoming row 74 : north platte | 1094 | usa | nebraska row 75 : potomac | 462 | usa | west virginia row 76 : potomac | 462 | usa | maryland row 77 : potomac | 462 | usa | virginia row 78 : potomac | 462 | usa | district of columbia row 79 : republican | 679 | usa | colorado row 80 : republican | 679 | usa | nebraska row 81 : republican | 679 | usa | kansas row 82 : rio grande | 3033 | usa | colorado row 83 : rio grande | 3033 | usa | new mexico row 84 : rio grande | 3033 | usa | texas row 85 : san juan | 579 | usa | colorado row 86 : san juan | 579 | usa | new mexico row 87 : san juan | 579 | usa | colorado row 88 : san juan | 579 | usa | utah row 89 : tennessee | 1049 | usa | tennessee row 90 : tennessee | 1049 | usa | alabama row 91 : tennessee | 1049 | usa | tennessee row 92 : tennessee | 1049 | usa | kentucky row 93 : wabash | 764 | usa | ohio row 94 : wabash | 764 | usa | indiana row 95 : wabash | 764 | usa | illinois row 96 : yellowstone | 1080 | usa | wyoming row 97 : yellowstone | 1080 | usa | montana row 98 : yellowstone | 1080 | usa | north dakota row 99 : allegheny | 523 | usa | pennsylvania row 100 : allegheny | 523 | usa | new york row 101 : allegheny | 523 | usa | pennsylvania row 102 : bighorn | 541 | usa | wyoming row 103 : bighorn | 541 | usa | montana row 104 : cheyenne | 848 | usa | wyoming row 105 : cheyenne | 848 | usa | north dakota row 106 : clark fork | 483 | usa | montana row 107 : clark fork | 483 | usa | idaho row 108 : columbia | 1953 | usa | washington row 109 : columbia | 1953 | usa | oregon row 110 : cumberland | 1105 | usa | kentucky row 111 : cumberland | 1105 | usa | tennessee row 112 : cumberland | 1105 | usa | kentucky row 113 : dakota | 1142 | usa | north dakota row 114 : dakota | 1142 | usa | south dakota row 115 : gila | 805 | usa | new mexico row 116 : gila | 805 | usa | arizona row 117 : hudson | 492 | usa | new york row 118 : hudson | 492 | usa | new jersey row 119 : neosho | 740 | usa | kansas row 120 : neosho | 740 | usa | oklahoma row 121 : niobrara | 693 | usa | wyoming row 122 : niobrara | 693 | usa | nebraska row 123 : ouachita | 973 | usa | arkansas row 124 : ouachita | 973 | usa | louisiana row 125 : pearl | 788 | usa | michigan row 126 : pearl | 788 | usa | louisiana row 127 : pecos | 805 | usa | new mexico row 128 : pecos | 805 | usa | texas row 129 : powder | 603 | usa | wyoming row 130 : powder | 603 | usa | montana row 131 : roanoke | 660 | usa | virginia row 132 : roanoke | 660 | usa | north carolina row 133 : rock | 459 | usa | wisconsin row 134 : rock | 459 | usa | illinois row 135 : smoky hill | 869 | usa | colorado row 136 : smoky hill | 869 | usa | kansas row 137 : south platte | 682 | usa | colorado row 138 : south platte | 682 | usa | nebraska row 139 : st. francis | 684 | usa | missouri row 140 : st. francis | 684 | usa | arkansas row 141 : tombigbee | 658 | usa | mississippi row 142 : tombigbee | 658 | usa | alabama row 143 : washita | 805 | usa | texas row 144 : washita | 805 | usa | oklahoma row 145 : wateree catawba | 636 | usa | north carolina row 146 : wateree catawba | 636 | usa | south carolina row 147 : white | 1110 | usa | arkansas row 148 : white | 1110 | usa | missouri row 149 : white | 1110 | usa | arkansas
col : river_name row 1 : red row 2 : canadian row 3 : rio grande row 4 : pecos row 5 : washita
SELECT state.area FROM state WHERE state.area=(SELECT max(state.area) FROM state);
what is the area of the largest state
{"columns":["area"],"index":[0],"data":[[591000.0]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what is the area of the largest state <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : area row 1 : 591000
SELECT border_info.border FROM border_info WHERE border_info.state_name='kentucky';
which state border kentucky
{"columns":["border"],"index":[0,1,2,3,4,5,6],"data":[["indiana"],["ohio"],["west virginia"],["virginia"],["tennessee"],["missouri"],["illinois"]]}
[ "border_info" ]
[ "{\"columns\":[\"state_name\",\"border\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217],\"data\":[[\"alabama\",\"tennessee\"],[\"alabama\",\"georgia\"],[\"alabama\",\"florida\"],[\"alabama\",\"mississippi\"],[\"arizona\",\"utah\"],[\"arizona\",\"colorado\"],[\"arizona\",\"new mexico\"],[\"arizona\",\"california\"],[\"arizona\",\"nevada\"],[\"arkansas\",\"missouri\"],[\"arkansas\",\"tennessee\"],[\"arkansas\",\"mississippi\"],[\"arkansas\",\"louisiana\"],[\"arkansas\",\"texas\"],[\"arkansas\",\"oklahoma\"],[\"california\",\"oregon\"],[\"california\",\"nevada\"],[\"california\",\"arizona\"],[\"colorado\",\"nebraska\"],[\"colorado\",\"kansas\"],[\"colorado\",\"oklahoma\"],[\"colorado\",\"new mexico\"],[\"colorado\",\"arizona\"],[\"colorado\",\"utah\"],[\"colorado\",\"wyoming\"],[\"connecticut\",\"massachusetts\"],[\"connecticut\",\"rhode island\"],[\"connecticut\",\"new york\"],[\"delaware\",\"pennsylvania\"],[\"delaware\",\"new jersey\"],[\"delaware\",\"maryland\"],[\"district of columbia\",\"maryland\"],[\"district of columbia\",\"virginia\"],[\"florida\",\"georgia\"],[\"florida\",\"alabama\"],[\"georgia\",\"north carolina\"],[\"georgia\",\"south carolina\"],[\"georgia\",\"florida\"],[\"georgia\",\"alabama\"],[\"georgia\",\"tennessee\"],[\"idaho\",\"montana\"],[\"idaho\",\"wyoming\"],[\"idaho\",\"utah\"],[\"idaho\",\"nevada\"],[\"idaho\",\"oregon\"],[\"idaho\",\"washington\"],[\"illinois\",\"wisconsin\"],[\"illinois\",\"indiana\"],[\"illinois\",\"kentucky\"],[\"illinois\",\"missouri\"],[\"illinois\",\"iowa\"],[\"indiana\",\"michigan\"],[\"indiana\",\"ohio\"],[\"indiana\",\"kentucky\"],[\"indiana\",\"illinois\"],[\"iowa\",\"minnesota\"],[\"iowa\",\"wisconsin\"],[\"iowa\",\"illinois\"],[\"iowa\",\"missouri\"],[\"iowa\",\"nebraska\"],[\"iowa\",\"south dakota\"],[\"kansas\",\"nebraska\"],[\"kansas\",\"missouri\"],[\"kansas\",\"oklahoma\"],[\"kansas\",\"colorado\"],[\"kentucky\",\"indiana\"],[\"kentucky\",\"ohio\"],[\"kentucky\",\"west virginia\"],[\"kentucky\",\"virginia\"],[\"kentucky\",\"tennessee\"],[\"kentucky\",\"missouri\"],[\"kentucky\",\"illinois\"],[\"louisiana\",\"arkansas\"],[\"louisiana\",\"mississippi\"],[\"louisiana\",\"texas\"],[\"maine\",\"new hampshire\"],[\"maryland\",\"pennsylvania\"],[\"maryland\",\"delaware\"],[\"maryland\",\"virginia\"],[\"maryland\",\"district of columbia\"],[\"maryland\",\"west virginia\"],[\"massachusetts\",\"new hampshire\"],[\"massachusetts\",\"rhode island\"],[\"massachusetts\",\"connecticut\"],[\"massachusetts\",\"new york\"],[\"massachusetts\",\"vermont\"],[\"michigan\",\"ohio\"],[\"michigan\",\"indiana\"],[\"michigan\",\"wisconsin\"],[\"minnesota\",\"wisconsin\"],[\"minnesota\",\"iowa\"],[\"minnesota\",\"south dakota\"],[\"minnesota\",\"north dakota\"],[\"mississippi\",\"tennessee\"],[\"mississippi\",\"alabama\"],[\"mississippi\",\"louisiana\"],[\"mississippi\",\"arkansas\"],[\"missouri\",\"iowa\"],[\"missouri\",\"illinois\"],[\"missouri\",\"kentucky\"],[\"missouri\",\"tennessee\"],[\"missouri\",\"arkansas\"],[\"missouri\",\"oklahoma\"],[\"missouri\",\"kansas\"],[\"missouri\",\"nebraska\"],[\"montana\",\"north dakota\"],[\"montana\",\"south dakota\"],[\"montana\",\"wyoming\"],[\"montana\",\"idaho\"],[\"nebraska\",\"south dakota\"],[\"nebraska\",\"iowa\"],[\"nebraska\",\"missouri\"],[\"nebraska\",\"kansas\"],[\"nebraska\",\"colorado\"],[\"nebraska\",\"wyoming\"],[\"nevada\",\"idaho\"],[\"nevada\",\"utah\"],[\"nevada\",\"arizona\"],[\"nevada\",\"california\"],[\"nevada\",\"oregon\"],[\"new hampshire\",\"maine\"],[\"new hampshire\",\"massachusetts\"],[\"new hampshire\",\"vermont\"],[\"new jersey\",\"new york\"],[\"new jersey\",\"delaware\"],[\"new jersey\",\"pennsylvania\"],[\"new mexico\",\"colorado\"],[\"new mexico\",\"oklahoma\"],[\"new mexico\",\"texas\"],[\"new mexico\",\"arizona\"],[\"new mexico\",\"utah\"],[\"new york\",\"vermont\"],[\"new york\",\"massachusetts\"],[\"new york\",\"connecticut\"],[\"new york\",\"new jersey\"],[\"new york\",\"pennsylvania\"],[\"north carolina\",\"virginia\"],[\"north carolina\",\"south carolina\"],[\"north carolina\",\"georgia\"],[\"north carolina\",\"tennessee\"],[\"north dakota\",\"minnesota\"],[\"north dakota\",\"south dakota\"],[\"north dakota\",\"montana\"],[\"ohio\",\"michigan\"],[\"ohio\",\"pennsylvania\"],[\"ohio\",\"west virginia\"],[\"ohio\",\"kentucky\"],[\"ohio\",\"indiana\"],[\"oklahoma\",\"kansas\"],[\"oklahoma\",\"missouri\"],[\"oklahoma\",\"arkansas\"],[\"oklahoma\",\"texas\"],[\"oklahoma\",\"new mexico\"],[\"oklahoma\",\"colorado\"],[\"oregon\",\"washington\"],[\"oregon\",\"idaho\"],[\"oregon\",\"nevada\"],[\"oregon\",\"california\"],[\"pennsylvania\",\"new york\"],[\"pennsylvania\",\"new jersey\"],[\"pennsylvania\",\"delaware\"],[\"pennsylvania\",\"maryland\"],[\"pennsylvania\",\"west virginia\"],[\"pennsylvania\",\"ohio\"],[\"rhode island\",\"massachusetts\"],[\"rhode island\",\"connecticut\"],[\"south carolina\",\"north carolina\"],[\"south carolina\",\"georgia\"],[\"south dakota\",\"north dakota\"],[\"south dakota\",\"minnesota\"],[\"south dakota\",\"iowa\"],[\"south dakota\",\"nebraska\"],[\"south dakota\",\"wyoming\"],[\"south dakota\",\"montana\"],[\"tennessee\",\"kentucky\"],[\"tennessee\",\"virginia\"],[\"tennessee\",\"north carolina\"],[\"tennessee\",\"georgia\"],[\"tennessee\",\"alabama\"],[\"tennessee\",\"mississippi\"],[\"tennessee\",\"arkansas\"],[\"tennessee\",\"missouri\"],[\"texas\",\"oklahoma\"],[\"texas\",\"arkansas\"],[\"texas\",\"louisiana\"],[\"texas\",\"new mexico\"],[\"utah\",\"wyoming\"],[\"utah\",\"colorado\"],[\"utah\",\"new mexico\"],[\"utah\",\"arizona\"],[\"utah\",\"nevada\"],[\"utah\",\"idaho\"],[\"vermont\",\"new hampshire\"],[\"vermont\",\"massachusetts\"],[\"vermont\",\"new york\"],[\"virginia\",\"maryland\"],[\"virginia\",\"district of columbia\"],[\"virginia\",\"north carolina\"],[\"virginia\",\"tennessee\"],[\"virginia\",\"kentucky\"],[\"virginia\",\"west virginia\"],[\"washington\",\"idaho\"],[\"washington\",\"oregon\"],[\"west virginia\",\"pennsylvania\"],[\"west virginia\",\"maryland\"],[\"west virginia\",\"virginia\"],[\"west virginia\",\"kentucky\"],[\"west virginia\",\"ohio\"],[\"wisconsin\",\"michigan\"],[\"wisconsin\",\"illinois\"],[\"wisconsin\",\"iowa\"],[\"wisconsin\",\"minnesota\"],[\"wyoming\",\"montana\"],[\"wyoming\",\"south dakota\"],[\"wyoming\",\"nebraska\"],[\"wyoming\",\"colorado\"],[\"wyoming\",\"utah\"],[\"wyoming\",\"idaho\"]]}" ]
which state border kentucky <table_name> : border_info col : state_name | border row 1 : alabama | tennessee row 2 : alabama | georgia row 3 : alabama | florida row 4 : alabama | mississippi row 5 : arizona | utah row 6 : arizona | colorado row 7 : arizona | new mexico row 8 : arizona | california row 9 : arizona | nevada row 10 : arkansas | missouri row 11 : arkansas | tennessee row 12 : arkansas | mississippi row 13 : arkansas | louisiana row 14 : arkansas | texas row 15 : arkansas | oklahoma row 16 : california | oregon row 17 : california | nevada row 18 : california | arizona row 19 : colorado | nebraska row 20 : colorado | kansas row 21 : colorado | oklahoma row 22 : colorado | new mexico row 23 : colorado | arizona row 24 : colorado | utah row 25 : colorado | wyoming row 26 : connecticut | massachusetts row 27 : connecticut | rhode island row 28 : connecticut | new york row 29 : delaware | pennsylvania row 30 : delaware | new jersey row 31 : delaware | maryland row 32 : district of columbia | maryland row 33 : district of columbia | virginia row 34 : florida | georgia row 35 : florida | alabama row 36 : georgia | north carolina row 37 : georgia | south carolina row 38 : georgia | florida row 39 : georgia | alabama row 40 : georgia | tennessee row 41 : idaho | montana row 42 : idaho | wyoming row 43 : idaho | utah row 44 : idaho | nevada row 45 : idaho | oregon row 46 : idaho | washington row 47 : illinois | wisconsin row 48 : illinois | indiana row 49 : illinois | kentucky row 50 : illinois | missouri row 51 : illinois | iowa row 52 : indiana | michigan row 53 : indiana | ohio row 54 : indiana | kentucky row 55 : indiana | illinois row 56 : iowa | minnesota row 57 : iowa | wisconsin row 58 : iowa | illinois row 59 : iowa | missouri row 60 : iowa | nebraska row 61 : iowa | south dakota row 62 : kansas | nebraska row 63 : kansas | missouri row 64 : kansas | oklahoma row 65 : kansas | colorado row 66 : kentucky | indiana row 67 : kentucky | ohio row 68 : kentucky | west virginia row 69 : kentucky | virginia row 70 : kentucky | tennessee row 71 : kentucky | missouri row 72 : kentucky | illinois row 73 : louisiana | arkansas row 74 : louisiana | mississippi row 75 : louisiana | texas row 76 : maine | new hampshire row 77 : maryland | pennsylvania row 78 : maryland | delaware row 79 : maryland | virginia row 80 : maryland | district of columbia row 81 : maryland | west virginia row 82 : massachusetts | new hampshire row 83 : massachusetts | rhode island row 84 : massachusetts | connecticut row 85 : massachusetts | new york row 86 : massachusetts | vermont row 87 : michigan | ohio row 88 : michigan | indiana row 89 : michigan | wisconsin row 90 : minnesota | wisconsin row 91 : minnesota | iowa row 92 : minnesota | south dakota row 93 : minnesota | north dakota row 94 : mississippi | tennessee row 95 : mississippi | alabama row 96 : mississippi | louisiana row 97 : mississippi | arkansas row 98 : missouri | iowa row 99 : missouri | illinois row 100 : missouri | kentucky row 101 : missouri | tennessee row 102 : missouri | arkansas row 103 : missouri | oklahoma row 104 : missouri | kansas row 105 : missouri | nebraska row 106 : montana | north dakota row 107 : montana | south dakota row 108 : montana | wyoming row 109 : montana | idaho row 110 : nebraska | south dakota row 111 : nebraska | iowa row 112 : nebraska | missouri row 113 : nebraska | kansas row 114 : nebraska | colorado row 115 : nebraska | wyoming row 116 : nevada | idaho row 117 : nevada | utah row 118 : nevada | arizona row 119 : nevada | california row 120 : nevada | oregon row 121 : new hampshire | maine row 122 : new hampshire | massachusetts row 123 : new hampshire | vermont row 124 : new jersey | new york row 125 : new jersey | delaware row 126 : new jersey | pennsylvania row 127 : new mexico | colorado row 128 : new mexico | oklahoma row 129 : new mexico | texas row 130 : new mexico | arizona row 131 : new mexico | utah row 132 : new york | vermont row 133 : new york | massachusetts row 134 : new york | connecticut row 135 : new york | new jersey row 136 : new york | pennsylvania row 137 : north carolina | virginia row 138 : north carolina | south carolina row 139 : north carolina | georgia row 140 : north carolina | tennessee row 141 : north dakota | minnesota row 142 : north dakota | south dakota row 143 : north dakota | montana row 144 : ohio | michigan row 145 : ohio | pennsylvania row 146 : ohio | west virginia row 147 : ohio | kentucky row 148 : ohio | indiana row 149 : oklahoma | kansas row 150 : oklahoma | missouri row 151 : oklahoma | arkansas row 152 : oklahoma | texas row 153 : oklahoma | new mexico row 154 : oklahoma | colorado row 155 : oregon | washington row 156 : oregon | idaho row 157 : oregon | nevada row 158 : oregon | california row 159 : pennsylvania | new york row 160 : pennsylvania | new jersey row 161 : pennsylvania | delaware row 162 : pennsylvania | maryland row 163 : pennsylvania | west virginia row 164 : pennsylvania | ohio row 165 : rhode island | massachusetts row 166 : rhode island | connecticut row 167 : south carolina | north carolina row 168 : south carolina | georgia row 169 : south dakota | north dakota row 170 : south dakota | minnesota row 171 : south dakota | iowa row 172 : south dakota | nebraska row 173 : south dakota | wyoming row 174 : south dakota | montana row 175 : tennessee | kentucky row 176 : tennessee | virginia row 177 : tennessee | north carolina row 178 : tennessee | georgia row 179 : tennessee | alabama row 180 : tennessee | mississippi row 181 : tennessee | arkansas row 182 : tennessee | missouri row 183 : texas | oklahoma row 184 : texas | arkansas row 185 : texas | louisiana row 186 : texas | new mexico row 187 : utah | wyoming row 188 : utah | colorado row 189 : utah | new mexico row 190 : utah | arizona row 191 : utah | nevada row 192 : utah | idaho row 193 : vermont | new hampshire row 194 : vermont | massachusetts row 195 : vermont | new york row 196 : virginia | maryland row 197 : virginia | district of columbia row 198 : virginia | north carolina row 199 : virginia | tennessee row 200 : virginia | kentucky row 201 : virginia | west virginia row 202 : washington | idaho row 203 : washington | oregon row 204 : west virginia | pennsylvania row 205 : west virginia | maryland row 206 : west virginia | virginia row 207 : west virginia | kentucky row 208 : west virginia | ohio row 209 : wisconsin | michigan row 210 : wisconsin | illinois row 211 : wisconsin | iowa row 212 : wisconsin | minnesota row 213 : wyoming | montana row 214 : wyoming | south dakota row 215 : wyoming | nebraska row 216 : wyoming | colorado row 217 : wyoming | utah row 218 : wyoming | idaho
col : border row 1 : indiana row 2 : ohio row 3 : west virginia row 4 : virginia row 5 : tennessee row 6 : missouri row 7 : illinois
SELECT river.river_name FROM river WHERE river.traverse='texas' AND river.length=(SELECT max(river.length) FROM river WHERE river.traverse='texas');
what is the longest river in texas
{"columns":["river_name"],"index":[0],"data":[["rio grande"]]}
[ "river" ]
[ "{\"columns\":[\"river_name\",\"length\",\"country_name\",\"traverse\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148],\"data\":[[\"mississippi\",3778,\"usa\",\"minnesota\"],[\"mississippi\",3778,\"usa\",\"wisconsin\"],[\"mississippi\",3778,\"usa\",\"iowa\"],[\"mississippi\",3778,\"usa\",\"illinois\"],[\"mississippi\",3778,\"usa\",\"missouri\"],[\"mississippi\",3778,\"usa\",\"kentucky\"],[\"mississippi\",3778,\"usa\",\"tennessee\"],[\"mississippi\",3778,\"usa\",\"arkansas\"],[\"mississippi\",3778,\"usa\",\"mississippi\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"missouri\",3968,\"usa\",\"montana\"],[\"missouri\",3968,\"usa\",\"north dakota\"],[\"missouri\",3968,\"usa\",\"south dakota\"],[\"missouri\",3968,\"usa\",\"iowa\"],[\"missouri\",3968,\"usa\",\"nebraska\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"colorado\",2333,\"usa\",\"colorado\"],[\"colorado\",2333,\"usa\",\"utah\"],[\"colorado\",2333,\"usa\",\"arizona\"],[\"colorado\",2333,\"usa\",\"nevada\"],[\"colorado\",2333,\"usa\",\"california\"],[\"ohio\",1569,\"usa\",\"pennsylvania\"],[\"ohio\",1569,\"usa\",\"west virginia\"],[\"ohio\",1569,\"usa\",\"kentucky\"],[\"ohio\",1569,\"usa\",\"indiana\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"ohio\"],[\"red\",1638,\"usa\",\"new 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what is the longest river in texas <table_name> : river col : river_name | length | country_name | traverse row 1 : mississippi | 3778 | usa | minnesota row 2 : mississippi | 3778 | usa | wisconsin row 3 : mississippi | 3778 | usa | iowa row 4 : mississippi | 3778 | usa | illinois row 5 : mississippi | 3778 | usa | missouri row 6 : mississippi | 3778 | usa | kentucky row 7 : mississippi | 3778 | usa | tennessee row 8 : mississippi | 3778 | usa | arkansas row 9 : mississippi | 3778 | usa | mississippi row 10 : mississippi | 3778 | usa | louisiana row 11 : mississippi | 3778 | usa | louisiana row 12 : missouri | 3968 | usa | montana row 13 : missouri | 3968 | usa | north dakota row 14 : missouri | 3968 | usa | south dakota row 15 : missouri | 3968 | usa | iowa row 16 : missouri | 3968 | usa | nebraska row 17 : missouri | 3968 | usa | missouri row 18 : missouri | 3968 | usa | missouri row 19 : colorado | 2333 | usa | colorado row 20 : colorado | 2333 | usa | utah row 21 : colorado | 2333 | usa | arizona row 22 : colorado | 2333 | usa | nevada row 23 : colorado | 2333 | usa | california row 24 : ohio | 1569 | usa | pennsylvania row 25 : ohio | 1569 | usa | west virginia row 26 : ohio | 1569 | usa | kentucky row 27 : ohio | 1569 | usa | indiana row 28 : ohio | 1569 | usa | illinois row 29 : ohio | 1569 | usa | illinois row 30 : ohio | 1569 | usa | ohio row 31 : red | 1638 | usa | new mexico row 32 : red | 1638 | usa | texas row 33 : red | 1638 | usa | oklahoma row 34 : red | 1638 | usa | arkansas row 35 : red | 1638 | usa | arkansas row 36 : red | 1638 | usa | louisiana row 37 : arkansas | 2333 | usa | colorado row 38 : arkansas | 2333 | usa | kansas row 39 : arkansas | 2333 | usa | oklahoma row 40 : arkansas | 2333 | usa | arkansas row 41 : canadian | 1458 | usa | colorado row 42 : canadian | 1458 | usa | new mexico row 43 : canadian | 1458 | usa | texas row 44 : canadian | 1458 | usa | oklahoma row 45 : connecticut | 655 | usa | new hampshire row 46 : connecticut | 655 | usa | vermont row 47 : connecticut | 655 | usa | massachusetts row 48 : connecticut | 655 | usa | connecticut row 49 : delaware | 451 | usa | new york row 50 : delaware | 451 | usa | pennsylvania row 51 : delaware | 451 | usa | new jersey row 52 : delaware | 451 | usa | delaware row 53 : little missouri | 901 | usa | wyoming row 54 : little missouri | 901 | usa | montana row 55 : little missouri | 901 | usa | south dakota row 56 : little missouri | 901 | usa | north dakota row 57 : snake | 1670 | usa | wyoming row 58 : snake | 1670 | usa | idaho row 59 : snake | 1670 | usa | oregon row 60 : snake | 1670 | usa | washington row 61 : snake | 1670 | usa | washington row 62 : chattahoochee | 702 | usa | georgia row 63 : chattahoochee | 702 | usa | georgia row 64 : chattahoochee | 702 | usa | florida row 65 : cimarron | 965 | usa | new mexico row 66 : cimarron | 965 | usa | kansas row 67 : cimarron | 965 | usa | oklahoma row 68 : green | 1175 | usa | wyoming row 69 : green | 1175 | usa | utah row 70 : green | 1175 | usa | colorado row 71 : green | 1175 | usa | utah row 72 : north platte | 1094 | usa | colorado row 73 : north platte | 1094 | usa | wyoming row 74 : north platte | 1094 | usa | nebraska row 75 : potomac | 462 | usa | west virginia row 76 : potomac | 462 | usa | maryland row 77 : potomac | 462 | usa | virginia row 78 : potomac | 462 | usa | district of columbia row 79 : republican | 679 | usa | colorado row 80 : republican | 679 | usa | nebraska row 81 : republican | 679 | usa | kansas row 82 : rio grande | 3033 | usa | colorado row 83 : rio grande | 3033 | usa | new mexico row 84 : rio grande | 3033 | usa | texas row 85 : san juan | 579 | usa | colorado row 86 : san juan | 579 | usa | new mexico row 87 : san juan | 579 | usa | colorado row 88 : san juan | 579 | usa | utah row 89 : tennessee | 1049 | usa | tennessee row 90 : tennessee | 1049 | usa | alabama row 91 : tennessee | 1049 | usa | tennessee row 92 : tennessee | 1049 | usa | kentucky row 93 : wabash | 764 | usa | ohio row 94 : wabash | 764 | usa | indiana row 95 : wabash | 764 | usa | illinois row 96 : yellowstone | 1080 | usa | wyoming row 97 : yellowstone | 1080 | usa | montana row 98 : yellowstone | 1080 | usa | north dakota row 99 : allegheny | 523 | usa | pennsylvania row 100 : allegheny | 523 | usa | new york row 101 : allegheny | 523 | usa | pennsylvania row 102 : bighorn | 541 | usa | wyoming row 103 : bighorn | 541 | usa | montana row 104 : cheyenne | 848 | usa | wyoming row 105 : cheyenne | 848 | usa | north dakota row 106 : clark fork | 483 | usa | montana row 107 : clark fork | 483 | usa | idaho row 108 : columbia | 1953 | usa | washington row 109 : columbia | 1953 | usa | oregon row 110 : cumberland | 1105 | usa | kentucky row 111 : cumberland | 1105 | usa | tennessee row 112 : cumberland | 1105 | usa | kentucky row 113 : dakota | 1142 | usa | north dakota row 114 : dakota | 1142 | usa | south dakota row 115 : gila | 805 | usa | new mexico row 116 : gila | 805 | usa | arizona row 117 : hudson | 492 | usa | new york row 118 : hudson | 492 | usa | new jersey row 119 : neosho | 740 | usa | kansas row 120 : neosho | 740 | usa | oklahoma row 121 : niobrara | 693 | usa | wyoming row 122 : niobrara | 693 | usa | nebraska row 123 : ouachita | 973 | usa | arkansas row 124 : ouachita | 973 | usa | louisiana row 125 : pearl | 788 | usa | michigan row 126 : pearl | 788 | usa | louisiana row 127 : pecos | 805 | usa | new mexico row 128 : pecos | 805 | usa | texas row 129 : powder | 603 | usa | wyoming row 130 : powder | 603 | usa | montana row 131 : roanoke | 660 | usa | virginia row 132 : roanoke | 660 | usa | north carolina row 133 : rock | 459 | usa | wisconsin row 134 : rock | 459 | usa | illinois row 135 : smoky hill | 869 | usa | colorado row 136 : smoky hill | 869 | usa | kansas row 137 : south platte | 682 | usa | colorado row 138 : south platte | 682 | usa | nebraska row 139 : st. francis | 684 | usa | missouri row 140 : st. francis | 684 | usa | arkansas row 141 : tombigbee | 658 | usa | mississippi row 142 : tombigbee | 658 | usa | alabama row 143 : washita | 805 | usa | texas row 144 : washita | 805 | usa | oklahoma row 145 : wateree catawba | 636 | usa | north carolina row 146 : wateree catawba | 636 | usa | south carolina row 147 : white | 1110 | usa | arkansas row 148 : white | 1110 | usa | missouri row 149 : white | 1110 | usa | arkansas
col : river_name row 1 : rio grande
SELECT city.state_name FROM city GROUP BY city.state_name ORDER BY sum(city.population) DESC LIMIT 1;
what state has the largest urban population ?
{"columns":["state_name"],"index":[0],"data":[["california"]]}
[ "city" ]
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paul\",270230,\"usa\",\"minnesota\"],[\"duluth\",92811,\"usa\",\"minnesota\"],[\"bloomington\",81831,\"usa\",\"minnesota\"],[\"rochester\",57906,\"usa\",\"minnesota\"],[\"jackson\",202895,\"usa\",\"mississippi\"],[\"st. louis\",453085,\"usa\",\"missouri\"],[\"kansas city\",448159,\"usa\",\"missouri\"],[\"springfield\",133116,\"usa\",\"missouri\"],[\"independence\",111797,\"usa\",\"missouri\"],[\"st. joseph\",76691,\"usa\",\"missouri\"],[\"columbia\",62061,\"usa\",\"missouri\"],[\"billings\",66842,\"usa\",\"montana\"],[\"great falls\",56725,\"usa\",\"montana\"],[\"omaha\",314255,\"usa\",\"nebraska\"],[\"lincoln\",171932,\"usa\",\"nebraska\"],[\"las vegas\",164674,\"usa\",\"nevada\"],[\"reno\",100756,\"usa\",\"nevada\"],[\"manchester\",90936,\"usa\",\"new hampshire\"],[\"nashua\",67865,\"usa\",\"new hampshire\"],[\"newark\",329248,\"usa\",\"new jersey\"],[\"jersey city\",223532,\"usa\",\"new jersey\"],[\"paterson\",137970,\"usa\",\"new jersey\"],[\"elizabeth\",106201,\"usa\",\"new 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vernon\",66713,\"usa\",\"new york\"],[\"irondequoit\",57648,\"usa\",\"new york\"],[\"levittown\",57045,\"usa\",\"new york\"],[\"charlotte\",314447,\"usa\",\"north carolina\"],[\"greensboro\",155642,\"usa\",\"north carolina\"],[\"raleigh\",149771,\"usa\",\"north carolina\"],[\"winston-salem\",131885,\"usa\",\"north carolina\"],[\"durham\",100538,\"usa\",\"north carolina\"],[\"high point\",64107,\"usa\",\"north carolina\"],[\"fayetteville\",59507,\"usa\",\"north carolina\"],[\"fargo\",61308,\"usa\",\"north dakota\"],[\"cleveland\",573822,\"usa\",\"ohio\"],[\"columbus\",564871,\"usa\",\"ohio\"],[\"cincinnati\",385457,\"usa\",\"ohio\"],[\"toledo\",354635,\"usa\",\"ohio\"],[\"akron\",237177,\"usa\",\"ohio\"],[\"dayton\",203371,\"usa\",\"ohio\"],[\"youngstown\",115436,\"usa\",\"ohio\"],[\"canton\",93077,\"usa\",\"ohio\"],[\"parma\",92548,\"usa\",\"ohio\"],[\"lorain\",75416,\"usa\",\"ohio\"],[\"springfield\",72563,\"usa\",\"ohio\"],[\"hamilton\",63189,\"usa\",\"ohio\"],[\"lakewood\",61963,\"usa\",\"ohio\"],[\"kettering\",61186,\"usa\",\"ohio\"],[\"euclid\",59999,\"usa\",\"ohio\"],[\"elyria\",57504,\"usa\",\"ohio\"],[\"oklahoma 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island\"],[\"cranston\",71992,\"usa\",\"rhode island\"],[\"pawtucket\",71204,\"usa\",\"rhode island\"],[\"columbia\",101229,\"usa\",\"south carolina\"],[\"charleston\",69855,\"usa\",\"south carolina\"],[\"north charleston\",62504,\"usa\",\"south carolina\"],[\"greenville\",58242,\"usa\",\"south carolina\"],[\"sioux falls\",81343,\"usa\",\"south dakota\"],[\"memphis\",646356,\"usa\",\"tennessee\"],[\"nashville\",455651,\"usa\",\"tennessee\"],[\"knoxville\",175030,\"usa\",\"tennessee\"],[\"chattanooga\",169728,\"usa\",\"tennessee\"],[\"houston\",1595138,\"usa\",\"texas\"],[\"dallas\",904078,\"usa\",\"texas\"],[\"san antonio\",785880,\"usa\",\"texas\"],[\"el paso\",425259,\"usa\",\"texas\"],[\"fort worth\",385164,\"usa\",\"texas\"],[\"austin\",345496,\"usa\",\"texas\"],[\"corpus 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bay\",87899,\"usa\",\"wisconsin\"],[\"racine\",85725,\"usa\",\"wisconsin\"],[\"kenosha\",77685,\"usa\",\"wisconsin\"],[\"west allis\",63982,\"usa\",\"wisconsin\"],[\"appleton\",58913,\"usa\",\"wisconsin\"],[\"casper\",51016,\"usa\",\"wyoming\"]]}" ]
what state has the largest urban population ? <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : state_name row 1 : california
SELECT state.population FROM state WHERE state.state_name='alabama';
how many citizens in alabama
{"columns":["population"],"index":[0],"data":[[3894000]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
how many citizens in alabama <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : population row 1 : 3894000
SELECT state.state_name FROM state WHERE state.population=(SELECT max(state.population) FROM state);
what state has the largest population
{"columns":["state_name"],"index":[0],"data":[["california"]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what state has the largest population <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : state_name row 1 : california
SELECT city.population FROM city WHERE city.city_name='atlanta';
what is the population of atlanta
{"columns":["population"],"index":[0],"data":[[425022]]}
[ "city" ]
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paul\",270230,\"usa\",\"minnesota\"],[\"duluth\",92811,\"usa\",\"minnesota\"],[\"bloomington\",81831,\"usa\",\"minnesota\"],[\"rochester\",57906,\"usa\",\"minnesota\"],[\"jackson\",202895,\"usa\",\"mississippi\"],[\"st. louis\",453085,\"usa\",\"missouri\"],[\"kansas city\",448159,\"usa\",\"missouri\"],[\"springfield\",133116,\"usa\",\"missouri\"],[\"independence\",111797,\"usa\",\"missouri\"],[\"st. joseph\",76691,\"usa\",\"missouri\"],[\"columbia\",62061,\"usa\",\"missouri\"],[\"billings\",66842,\"usa\",\"montana\"],[\"great falls\",56725,\"usa\",\"montana\"],[\"omaha\",314255,\"usa\",\"nebraska\"],[\"lincoln\",171932,\"usa\",\"nebraska\"],[\"las vegas\",164674,\"usa\",\"nevada\"],[\"reno\",100756,\"usa\",\"nevada\"],[\"manchester\",90936,\"usa\",\"new hampshire\"],[\"nashua\",67865,\"usa\",\"new hampshire\"],[\"newark\",329248,\"usa\",\"new jersey\"],[\"jersey city\",223532,\"usa\",\"new jersey\"],[\"paterson\",137970,\"usa\",\"new jersey\"],[\"elizabeth\",106201,\"usa\",\"new jersey\"],[\"trenton\",92124,\"usa\",\"new jersey\"],[\"woodbridge\",90074,\"usa\",\"new jersey\"],[\"camden\",84910,\"usa\",\"new jersey\"],[\"east orange\",77878,\"usa\",\"new jersey\"],[\"clifton\",74388,\"usa\",\"new jersey\"],[\"edison\",70193,\"usa\",\"new jersey\"],[\"cherry hill\",68785,\"usa\",\"new jersey\"],[\"bayonne\",65047,\"usa\",\"new jersey\"],[\"middletown\",61615,\"usa\",\"new jersey\"],[\"irvington\",61493,\"usa\",\"new jersey\"],[\"albuquerque\",331767,\"usa\",\"new mexico\"],[\"new york\",7071639,\"usa\",\"new york\"],[\"buffalo\",357870,\"usa\",\"new york\"],[\"rochester\",241741,\"usa\",\"new york\"],[\"yonkers\",195351,\"usa\",\"new york\"],[\"syracuse\",170105,\"usa\",\"new york\"],[\"albany\",101727,\"usa\",\"new york\"],[\"cheektowaga\",92145,\"usa\",\"new york\"],[\"utica\",75632,\"usa\",\"new york\"],[\"niagara falls\",71384,\"usa\",\"new york\"],[\"new rochelle\",70794,\"usa\",\"new york\"],[\"schenectady\",67972,\"usa\",\"new york\"],[\"mount vernon\",66713,\"usa\",\"new york\"],[\"irondequoit\",57648,\"usa\",\"new york\"],[\"levittown\",57045,\"usa\",\"new york\"],[\"charlotte\",314447,\"usa\",\"north carolina\"],[\"greensboro\",155642,\"usa\",\"north carolina\"],[\"raleigh\",149771,\"usa\",\"north carolina\"],[\"winston-salem\",131885,\"usa\",\"north carolina\"],[\"durham\",100538,\"usa\",\"north carolina\"],[\"high point\",64107,\"usa\",\"north carolina\"],[\"fayetteville\",59507,\"usa\",\"north carolina\"],[\"fargo\",61308,\"usa\",\"north dakota\"],[\"cleveland\",573822,\"usa\",\"ohio\"],[\"columbus\",564871,\"usa\",\"ohio\"],[\"cincinnati\",385457,\"usa\",\"ohio\"],[\"toledo\",354635,\"usa\",\"ohio\"],[\"akron\",237177,\"usa\",\"ohio\"],[\"dayton\",203371,\"usa\",\"ohio\"],[\"youngstown\",115436,\"usa\",\"ohio\"],[\"canton\",93077,\"usa\",\"ohio\"],[\"parma\",92548,\"usa\",\"ohio\"],[\"lorain\",75416,\"usa\",\"ohio\"],[\"springfield\",72563,\"usa\",\"ohio\"],[\"hamilton\",63189,\"usa\",\"ohio\"],[\"lakewood\",61963,\"usa\",\"ohio\"],[\"kettering\",61186,\"usa\",\"ohio\"],[\"euclid\",59999,\"usa\",\"ohio\"],[\"elyria\",57504,\"usa\",\"ohio\"],[\"oklahoma city\",403213,\"usa\",\"oklahoma\"],[\"tulsa\",360919,\"usa\",\"oklahoma\"],[\"lawton\",80054,\"usa\",\"oklahoma\"],[\"norman\",68020,\"usa\",\"oklahoma\"],[\"portland\",366383,\"usa\",\"oregon\"],[\"eugene\",105664,\"usa\",\"oregon\"],[\"salem\",89233,\"usa\",\"oregon\"],[\"philadelphia\",1688210,\"usa\",\"pennsylvania\"],[\"pittsburgh\",423938,\"usa\",\"pennsylvania\"],[\"erie\",119123,\"usa\",\"pennsylvania\"],[\"allentown\",103758,\"usa\",\"pennsylvania\"],[\"scranton\",88117,\"usa\",\"pennsylvania\"],[\"upper darby\",84054,\"usa\",\"pennsylvania\"],[\"reading\",78686,\"usa\",\"pennsylvania\"],[\"bethlehem\",70419,\"usa\",\"pennsylvania\"],[\"lower merion\",59651,\"usa\",\"pennsylvania\"],[\"abingdon\",59084,\"usa\",\"pennsylvania\"],[\"bristol township\",58733,\"usa\",\"pennsylvania\"],[\"penn hills\",57632,\"usa\",\"pennsylvania\"],[\"altoona\",57078,\"usa\",\"pennsylvania\"],[\"providence\",156804,\"usa\",\"rhode island\"],[\"warwick\",87123,\"usa\",\"rhode island\"],[\"cranston\",71992,\"usa\",\"rhode island\"],[\"pawtucket\",71204,\"usa\",\"rhode island\"],[\"columbia\",101229,\"usa\",\"south carolina\"],[\"charleston\",69855,\"usa\",\"south carolina\"],[\"north charleston\",62504,\"usa\",\"south carolina\"],[\"greenville\",58242,\"usa\",\"south carolina\"],[\"sioux falls\",81343,\"usa\",\"south dakota\"],[\"memphis\",646356,\"usa\",\"tennessee\"],[\"nashville\",455651,\"usa\",\"tennessee\"],[\"knoxville\",175030,\"usa\",\"tennessee\"],[\"chattanooga\",169728,\"usa\",\"tennessee\"],[\"houston\",1595138,\"usa\",\"texas\"],[\"dallas\",904078,\"usa\",\"texas\"],[\"san antonio\",785880,\"usa\",\"texas\"],[\"el paso\",425259,\"usa\",\"texas\"],[\"fort worth\",385164,\"usa\",\"texas\"],[\"austin\",345496,\"usa\",\"texas\"],[\"corpus christi\",231999,\"usa\",\"texas\"],[\"lubbock\",173979,\"usa\",\"texas\"],[\"arlington\",160123,\"usa\",\"texas\"],[\"amarillo\",149230,\"usa\",\"texas\"],[\"garland\",138857,\"usa\",\"texas\"],[\"beaumont\",118102,\"usa\",\"texas\"],[\"pasadena\",112560,\"usa\",\"texas\"],[\"irving\",109943,\"usa\",\"texas\"],[\"waco\",101261,\"usa\",\"texas\"],[\"abilene\",98315,\"usa\",\"texas\"],[\"wichita falls\",94201,\"usa\",\"texas\"],[\"laredo\",91449,\"usa\",\"texas\"],[\"odessa\",90027,\"usa\",\"texas\"],[\"brownsville\",84997,\"usa\",\"texas\"],[\"san angelo\",73240,\"usa\",\"texas\"],[\"richardson\",72496,\"usa\",\"texas\"],[\"plano\",72331,\"usa\",\"texas\"],[\"grand prairie\",71462,\"usa\",\"texas\"],[\"midland\",70525,\"usa\",\"texas\"],[\"tyler\",70508,\"usa\",\"texas\"],[\"mesquite\",67053,\"usa\",\"texas\"],[\"mcallen\",67042,\"usa\",\"texas\"],[\"longview\",62762,\"usa\",\"texas\"],[\"port arthur\",61195,\"usa\",\"texas\"],[\"salt lake city\",163034,\"usa\",\"utah\"],[\"provo\",74111,\"usa\",\"utah\"],[\"west valley\",72299,\"usa\",\"utah\"],[\"ogden\",64407,\"usa\",\"utah\"],[\"norfolk\",266979,\"usa\",\"virginia\"],[\"virginia beach\",262199,\"usa\",\"virginia\"],[\"richmond\",219214,\"usa\",\"virginia\"],[\"arlington\",152599,\"usa\",\"virginia\"],[\"newport news\",144903,\"usa\",\"virginia\"],[\"hampton\",122617,\"usa\",\"virginia\"],[\"chesapeake\",114226,\"usa\",\"virginia\"],[\"portsmouth\",104577,\"usa\",\"virginia\"],[\"alexandria\",103217,\"usa\",\"virginia\"],[\"roanoke\",100427,\"usa\",\"virginia\"],[\"lynchburg\",66743,\"usa\",\"virginia\"],[\"seattle\",493846,\"usa\",\"washington\"],[\"spokane\",171300,\"usa\",\"washington\"],[\"tacoma\",158501,\"usa\",\"washington\"],[\"bellevue\",73903,\"usa\",\"washington\"],[\"charleston\",63968,\"usa\",\"west virginia\"],[\"huntington\",63684,\"usa\",\"west virginia\"],[\"milwaukee\",636212,\"usa\",\"wisconsin\"],[\"madison\",170616,\"usa\",\"wisconsin\"],[\"green bay\",87899,\"usa\",\"wisconsin\"],[\"racine\",85725,\"usa\",\"wisconsin\"],[\"kenosha\",77685,\"usa\",\"wisconsin\"],[\"west allis\",63982,\"usa\",\"wisconsin\"],[\"appleton\",58913,\"usa\",\"wisconsin\"],[\"casper\",51016,\"usa\",\"wyoming\"]]}" ]
what is the population of atlanta <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : population row 1 : 425022
SELECT state.state_name FROM state WHERE state.area=(SELECT max(state.area) FROM state);
what is the largest state in the us
{"columns":["state_name"],"index":[0],"data":[["alaska"]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what is the largest state in the us <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : state_name row 1 : alaska
SELECT river.traverse FROM river WHERE river.river_name='mississippi';
through which states does the mississippi run
{"columns":["traverse"],"index":[0,1,2,3,4,5,6,7,8,9,10],"data":[["minnesota"],["wisconsin"],["iowa"],["illinois"],["missouri"],["kentucky"],["tennessee"],["arkansas"],["mississippi"],["louisiana"],["louisiana"]]}
[ "river" ]
[ "{\"columns\":[\"river_name\",\"length\",\"country_name\",\"traverse\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148],\"data\":[[\"mississippi\",3778,\"usa\",\"minnesota\"],[\"mississippi\",3778,\"usa\",\"wisconsin\"],[\"mississippi\",3778,\"usa\",\"iowa\"],[\"mississippi\",3778,\"usa\",\"illinois\"],[\"mississippi\",3778,\"usa\",\"missouri\"],[\"mississippi\",3778,\"usa\",\"kentucky\"],[\"mississippi\",3778,\"usa\",\"tennessee\"],[\"mississippi\",3778,\"usa\",\"arkansas\"],[\"mississippi\",3778,\"usa\",\"mississippi\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"missouri\",3968,\"usa\",\"montana\"],[\"missouri\",3968,\"usa\",\"north dakota\"],[\"missouri\",3968,\"usa\",\"south dakota\"],[\"missouri\",3968,\"usa\",\"iowa\"],[\"missouri\",3968,\"usa\",\"nebraska\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"colorado\",2333,\"usa\",\"colorado\"],[\"colorado\",2333,\"usa\",\"utah\"],[\"colorado\",2333,\"usa\",\"arizona\"],[\"colorado\",2333,\"usa\",\"nevada\"],[\"colorado\",2333,\"usa\",\"california\"],[\"ohio\",1569,\"usa\",\"pennsylvania\"],[\"ohio\",1569,\"usa\",\"west virginia\"],[\"ohio\",1569,\"usa\",\"kentucky\"],[\"ohio\",1569,\"usa\",\"indiana\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"ohio\"],[\"red\",1638,\"usa\",\"new mexico\"],[\"red\",1638,\"usa\",\"texas\"],[\"red\",1638,\"usa\",\"oklahoma\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"louisiana\"],[\"arkansas\",2333,\"usa\",\"colorado\"],[\"arkansas\",2333,\"usa\",\"kansas\"],[\"arkansas\",2333,\"usa\",\"oklahoma\"],[\"arkansas\",2333,\"usa\",\"arkansas\"],[\"canadian\",1458,\"usa\",\"colorado\"],[\"canadian\",1458,\"usa\",\"new mexico\"],[\"canadian\",1458,\"usa\",\"texas\"],[\"canadian\",1458,\"usa\",\"oklahoma\"],[\"connecticut\",655,\"usa\",\"new hampshire\"],[\"connecticut\",655,\"usa\",\"vermont\"],[\"connecticut\",655,\"usa\",\"massachusetts\"],[\"connecticut\",655,\"usa\",\"connecticut\"],[\"delaware\",451,\"usa\",\"new york\"],[\"delaware\",451,\"usa\",\"pennsylvania\"],[\"delaware\",451,\"usa\",\"new jersey\"],[\"delaware\",451,\"usa\",\"delaware\"],[\"little missouri\",901,\"usa\",\"wyoming\"],[\"little missouri\",901,\"usa\",\"montana\"],[\"little missouri\",901,\"usa\",\"south dakota\"],[\"little missouri\",901,\"usa\",\"north dakota\"],[\"snake\",1670,\"usa\",\"wyoming\"],[\"snake\",1670,\"usa\",\"idaho\"],[\"snake\",1670,\"usa\",\"oregon\"],[\"snake\",1670,\"usa\",\"washington\"],[\"snake\",1670,\"usa\",\"washington\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"florida\"],[\"cimarron\",965,\"usa\",\"new mexico\"],[\"cimarron\",965,\"usa\",\"kansas\"],[\"cimarron\",965,\"usa\",\"oklahoma\"],[\"green\",1175,\"usa\",\"wyoming\"],[\"green\",1175,\"usa\",\"utah\"],[\"green\",1175,\"usa\",\"colorado\"],[\"green\",1175,\"usa\",\"utah\"],[\"north platte\",1094,\"usa\",\"colorado\"],[\"north platte\",1094,\"usa\",\"wyoming\"],[\"north platte\",1094,\"usa\",\"nebraska\"],[\"potomac\",462,\"usa\",\"west virginia\"],[\"potomac\",462,\"usa\",\"maryland\"],[\"potomac\",462,\"usa\",\"virginia\"],[\"potomac\",462,\"usa\",\"district of columbia\"],[\"republican\",679,\"usa\",\"colorado\"],[\"republican\",679,\"usa\",\"nebraska\"],[\"republican\",679,\"usa\",\"kansas\"],[\"rio grande\",3033,\"usa\",\"colorado\"],[\"rio grande\",3033,\"usa\",\"new mexico\"],[\"rio grande\",3033,\"usa\",\"texas\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"new mexico\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"utah\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"alabama\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"kentucky\"],[\"wabash\",764,\"usa\",\"ohio\"],[\"wabash\",764,\"usa\",\"indiana\"],[\"wabash\",764,\"usa\",\"illinois\"],[\"yellowstone\",1080,\"usa\",\"wyoming\"],[\"yellowstone\",1080,\"usa\",\"montana\"],[\"yellowstone\",1080,\"usa\",\"north dakota\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"allegheny\",523,\"usa\",\"new york\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"bighorn\",541,\"usa\",\"wyoming\"],[\"bighorn\",541,\"usa\",\"montana\"],[\"cheyenne\",848,\"usa\",\"wyoming\"],[\"cheyenne\",848,\"usa\",\"north dakota\"],[\"clark fork\",483,\"usa\",\"montana\"],[\"clark fork\",483,\"usa\",\"idaho\"],[\"columbia\",1953,\"usa\",\"washington\"],[\"columbia\",1953,\"usa\",\"oregon\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"cumberland\",1105,\"usa\",\"tennessee\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"dakota\",1142,\"usa\",\"north dakota\"],[\"dakota\",1142,\"usa\",\"south dakota\"],[\"gila\",805,\"usa\",\"new mexico\"],[\"gila\",805,\"usa\",\"arizona\"],[\"hudson\",492,\"usa\",\"new york\"],[\"hudson\",492,\"usa\",\"new jersey\"],[\"neosho\",740,\"usa\",\"kansas\"],[\"neosho\",740,\"usa\",\"oklahoma\"],[\"niobrara\",693,\"usa\",\"wyoming\"],[\"niobrara\",693,\"usa\",\"nebraska\"],[\"ouachita\",973,\"usa\",\"arkansas\"],[\"ouachita\",973,\"usa\",\"louisiana\"],[\"pearl\",788,\"usa\",\"michigan\"],[\"pearl\",788,\"usa\",\"louisiana\"],[\"pecos\",805,\"usa\",\"new mexico\"],[\"pecos\",805,\"usa\",\"texas\"],[\"powder\",603,\"usa\",\"wyoming\"],[\"powder\",603,\"usa\",\"montana\"],[\"roanoke\",660,\"usa\",\"virginia\"],[\"roanoke\",660,\"usa\",\"north carolina\"],[\"rock\",459,\"usa\",\"wisconsin\"],[\"rock\",459,\"usa\",\"illinois\"],[\"smoky hill\",869,\"usa\",\"colorado\"],[\"smoky hill\",869,\"usa\",\"kansas\"],[\"south platte\",682,\"usa\",\"colorado\"],[\"south platte\",682,\"usa\",\"nebraska\"],[\"st. francis\",684,\"usa\",\"missouri\"],[\"st. francis\",684,\"usa\",\"arkansas\"],[\"tombigbee\",658,\"usa\",\"mississippi\"],[\"tombigbee\",658,\"usa\",\"alabama\"],[\"washita\",805,\"usa\",\"texas\"],[\"washita\",805,\"usa\",\"oklahoma\"],[\"wateree catawba\",636,\"usa\",\"north carolina\"],[\"wateree catawba\",636,\"usa\",\"south carolina\"],[\"white\",1110,\"usa\",\"arkansas\"],[\"white\",1110,\"usa\",\"missouri\"],[\"white\",1110,\"usa\",\"arkansas\"]]}" ]
through which states does the mississippi run <table_name> : river col : river_name | length | country_name | traverse row 1 : mississippi | 3778 | usa | minnesota row 2 : mississippi | 3778 | usa | wisconsin row 3 : mississippi | 3778 | usa | iowa row 4 : mississippi | 3778 | usa | illinois row 5 : mississippi | 3778 | usa | missouri row 6 : mississippi | 3778 | usa | kentucky row 7 : mississippi | 3778 | usa | tennessee row 8 : mississippi | 3778 | usa | arkansas row 9 : mississippi | 3778 | usa | mississippi row 10 : mississippi | 3778 | usa | louisiana row 11 : mississippi | 3778 | usa | louisiana row 12 : missouri | 3968 | usa | montana row 13 : missouri | 3968 | usa | north dakota row 14 : missouri | 3968 | usa | south dakota row 15 : missouri | 3968 | usa | iowa row 16 : missouri | 3968 | usa | nebraska row 17 : missouri | 3968 | usa | missouri row 18 : missouri | 3968 | usa | missouri row 19 : colorado | 2333 | usa | colorado row 20 : colorado | 2333 | usa | utah row 21 : colorado | 2333 | usa | arizona row 22 : colorado | 2333 | usa | nevada row 23 : colorado | 2333 | usa | california row 24 : ohio | 1569 | usa | pennsylvania row 25 : ohio | 1569 | usa | west virginia row 26 : ohio | 1569 | usa | kentucky row 27 : ohio | 1569 | usa | indiana row 28 : ohio | 1569 | usa | illinois row 29 : ohio | 1569 | usa | illinois row 30 : ohio | 1569 | usa | ohio row 31 : red | 1638 | usa | new mexico row 32 : red | 1638 | usa | texas row 33 : red | 1638 | usa | oklahoma row 34 : red | 1638 | usa | arkansas row 35 : red | 1638 | usa | arkansas row 36 : red | 1638 | usa | louisiana row 37 : arkansas | 2333 | usa | colorado row 38 : arkansas | 2333 | usa | kansas row 39 : arkansas | 2333 | usa | oklahoma row 40 : arkansas | 2333 | usa | arkansas row 41 : canadian | 1458 | usa | colorado row 42 : canadian | 1458 | usa | new mexico row 43 : canadian | 1458 | usa | texas row 44 : canadian | 1458 | usa | oklahoma row 45 : connecticut | 655 | usa | new hampshire row 46 : connecticut | 655 | usa | vermont row 47 : connecticut | 655 | usa | massachusetts row 48 : connecticut | 655 | usa | connecticut row 49 : delaware | 451 | usa | new york row 50 : delaware | 451 | usa | pennsylvania row 51 : delaware | 451 | usa | new jersey row 52 : delaware | 451 | usa | delaware row 53 : little missouri | 901 | usa | wyoming row 54 : little missouri | 901 | usa | montana row 55 : little missouri | 901 | usa | south dakota row 56 : little missouri | 901 | usa | north dakota row 57 : snake | 1670 | usa | wyoming row 58 : snake | 1670 | usa | idaho row 59 : snake | 1670 | usa | oregon row 60 : snake | 1670 | usa | washington row 61 : snake | 1670 | usa | washington row 62 : chattahoochee | 702 | usa | georgia row 63 : chattahoochee | 702 | usa | georgia row 64 : chattahoochee | 702 | usa | florida row 65 : cimarron | 965 | usa | new mexico row 66 : cimarron | 965 | usa | kansas row 67 : cimarron | 965 | usa | oklahoma row 68 : green | 1175 | usa | wyoming row 69 : green | 1175 | usa | utah row 70 : green | 1175 | usa | colorado row 71 : green | 1175 | usa | utah row 72 : north platte | 1094 | usa | colorado row 73 : north platte | 1094 | usa | wyoming row 74 : north platte | 1094 | usa | nebraska row 75 : potomac | 462 | usa | west virginia row 76 : potomac | 462 | usa | maryland row 77 : potomac | 462 | usa | virginia row 78 : potomac | 462 | usa | district of columbia row 79 : republican | 679 | usa | colorado row 80 : republican | 679 | usa | nebraska row 81 : republican | 679 | usa | kansas row 82 : rio grande | 3033 | usa | colorado row 83 : rio grande | 3033 | usa | new mexico row 84 : rio grande | 3033 | usa | texas row 85 : san juan | 579 | usa | colorado row 86 : san juan | 579 | usa | new mexico row 87 : san juan | 579 | usa | colorado row 88 : san juan | 579 | usa | utah row 89 : tennessee | 1049 | usa | tennessee row 90 : tennessee | 1049 | usa | alabama row 91 : tennessee | 1049 | usa | tennessee row 92 : tennessee | 1049 | usa | kentucky row 93 : wabash | 764 | usa | ohio row 94 : wabash | 764 | usa | indiana row 95 : wabash | 764 | usa | illinois row 96 : yellowstone | 1080 | usa | wyoming row 97 : yellowstone | 1080 | usa | montana row 98 : yellowstone | 1080 | usa | north dakota row 99 : allegheny | 523 | usa | pennsylvania row 100 : allegheny | 523 | usa | new york row 101 : allegheny | 523 | usa | pennsylvania row 102 : bighorn | 541 | usa | wyoming row 103 : bighorn | 541 | usa | montana row 104 : cheyenne | 848 | usa | wyoming row 105 : cheyenne | 848 | usa | north dakota row 106 : clark fork | 483 | usa | montana row 107 : clark fork | 483 | usa | idaho row 108 : columbia | 1953 | usa | washington row 109 : columbia | 1953 | usa | oregon row 110 : cumberland | 1105 | usa | kentucky row 111 : cumberland | 1105 | usa | tennessee row 112 : cumberland | 1105 | usa | kentucky row 113 : dakota | 1142 | usa | north dakota row 114 : dakota | 1142 | usa | south dakota row 115 : gila | 805 | usa | new mexico row 116 : gila | 805 | usa | arizona row 117 : hudson | 492 | usa | new york row 118 : hudson | 492 | usa | new jersey row 119 : neosho | 740 | usa | kansas row 120 : neosho | 740 | usa | oklahoma row 121 : niobrara | 693 | usa | wyoming row 122 : niobrara | 693 | usa | nebraska row 123 : ouachita | 973 | usa | arkansas row 124 : ouachita | 973 | usa | louisiana row 125 : pearl | 788 | usa | michigan row 126 : pearl | 788 | usa | louisiana row 127 : pecos | 805 | usa | new mexico row 128 : pecos | 805 | usa | texas row 129 : powder | 603 | usa | wyoming row 130 : powder | 603 | usa | montana row 131 : roanoke | 660 | usa | virginia row 132 : roanoke | 660 | usa | north carolina row 133 : rock | 459 | usa | wisconsin row 134 : rock | 459 | usa | illinois row 135 : smoky hill | 869 | usa | colorado row 136 : smoky hill | 869 | usa | kansas row 137 : south platte | 682 | usa | colorado row 138 : south platte | 682 | usa | nebraska row 139 : st. francis | 684 | usa | missouri row 140 : st. francis | 684 | usa | arkansas row 141 : tombigbee | 658 | usa | mississippi row 142 : tombigbee | 658 | usa | alabama row 143 : washita | 805 | usa | texas row 144 : washita | 805 | usa | oklahoma row 145 : wateree catawba | 636 | usa | north carolina row 146 : wateree catawba | 636 | usa | south carolina row 147 : white | 1110 | usa | arkansas row 148 : white | 1110 | usa | missouri row 149 : white | 1110 | usa | arkansas
col : traverse row 1 : minnesota row 2 : wisconsin row 3 : iowa row 4 : illinois row 5 : missouri row 6 : kentucky row 7 : tennessee row 8 : arkansas row 9 : mississippi row 10 : louisiana row 11 : louisiana
SELECT state.state_name FROM state left outer join border_info ON state.state_name = border_info.state_name GROUP BY state.state_name having count(border_info.border) = (SELECT min(cnt) FROM (SELECT state.state_name, count(border_info.border) AS cnt FROM state left outer join border_info ON state.state_name = border_info.state_name GROUP BY state.state_name) tmp);
what state borders the least states
{"columns":["state_name"],"index":[0,1],"data":[["alaska"],["hawaii"]]}
[ "state", "border_info" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}", "{\"columns\":[\"state_name\",\"border\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217],\"data\":[[\"alabama\",\"tennessee\"],[\"alabama\",\"georgia\"],[\"alabama\",\"florida\"],[\"alabama\",\"mississippi\"],[\"arizona\",\"utah\"],[\"arizona\",\"colorado\"],[\"arizona\",\"new mexico\"],[\"arizona\",\"california\"],[\"arizona\",\"nevada\"],[\"arkansas\",\"missouri\"],[\"arkansas\",\"tennessee\"],[\"arkansas\",\"mississippi\"],[\"arkansas\",\"louisiana\"],[\"arkansas\",\"texas\"],[\"arkansas\",\"oklahoma\"],[\"california\",\"oregon\"],[\"california\",\"nevada\"],[\"california\",\"arizona\"],[\"colorado\",\"nebraska\"],[\"colorado\",\"kansas\"],[\"colorado\",\"oklahoma\"],[\"colorado\",\"new mexico\"],[\"colorado\",\"arizona\"],[\"colorado\",\"utah\"],[\"colorado\",\"wyoming\"],[\"connecticut\",\"massachusetts\"],[\"connecticut\",\"rhode island\"],[\"connecticut\",\"new york\"],[\"delaware\",\"pennsylvania\"],[\"delaware\",\"new jersey\"],[\"delaware\",\"maryland\"],[\"district of columbia\",\"maryland\"],[\"district of columbia\",\"virginia\"],[\"florida\",\"georgia\"],[\"florida\",\"alabama\"],[\"georgia\",\"north carolina\"],[\"georgia\",\"south carolina\"],[\"georgia\",\"florida\"],[\"georgia\",\"alabama\"],[\"georgia\",\"tennessee\"],[\"idaho\",\"montana\"],[\"idaho\",\"wyoming\"],[\"idaho\",\"utah\"],[\"idaho\",\"nevada\"],[\"idaho\",\"oregon\"],[\"idaho\",\"washington\"],[\"illinois\",\"wisconsin\"],[\"illinois\",\"indiana\"],[\"illinois\",\"kentucky\"],[\"illinois\",\"missouri\"],[\"illinois\",\"iowa\"],[\"indiana\",\"michigan\"],[\"indiana\",\"ohio\"],[\"indiana\",\"kentucky\"],[\"indiana\",\"illinois\"],[\"iowa\",\"minnesota\"],[\"iowa\",\"wisconsin\"],[\"iowa\",\"illinois\"],[\"iowa\",\"missouri\"],[\"iowa\",\"nebraska\"],[\"iowa\",\"south dakota\"],[\"kansas\",\"nebraska\"],[\"kansas\",\"missouri\"],[\"kansas\",\"oklahoma\"],[\"kansas\",\"colorado\"],[\"kentucky\",\"indiana\"],[\"kentucky\",\"ohio\"],[\"kentucky\",\"west virginia\"],[\"kentucky\",\"virginia\"],[\"kentucky\",\"tennessee\"],[\"kentucky\",\"missouri\"],[\"kentucky\",\"illinois\"],[\"louisiana\",\"arkansas\"],[\"louisiana\",\"mississippi\"],[\"louisiana\",\"texas\"],[\"maine\",\"new hampshire\"],[\"maryland\",\"pennsylvania\"],[\"maryland\",\"delaware\"],[\"maryland\",\"virginia\"],[\"maryland\",\"district of columbia\"],[\"maryland\",\"west virginia\"],[\"massachusetts\",\"new hampshire\"],[\"massachusetts\",\"rhode island\"],[\"massachusetts\",\"connecticut\"],[\"massachusetts\",\"new york\"],[\"massachusetts\",\"vermont\"],[\"michigan\",\"ohio\"],[\"michigan\",\"indiana\"],[\"michigan\",\"wisconsin\"],[\"minnesota\",\"wisconsin\"],[\"minnesota\",\"iowa\"],[\"minnesota\",\"south dakota\"],[\"minnesota\",\"north dakota\"],[\"mississippi\",\"tennessee\"],[\"mississippi\",\"alabama\"],[\"mississippi\",\"louisiana\"],[\"mississippi\",\"arkansas\"],[\"missouri\",\"iowa\"],[\"missouri\",\"illinois\"],[\"missouri\",\"kentucky\"],[\"missouri\",\"tennessee\"],[\"missouri\",\"arkansas\"],[\"missouri\",\"oklahoma\"],[\"missouri\",\"kansas\"],[\"missouri\",\"nebraska\"],[\"montana\",\"north dakota\"],[\"montana\",\"south dakota\"],[\"montana\",\"wyoming\"],[\"montana\",\"idaho\"],[\"nebraska\",\"south dakota\"],[\"nebraska\",\"iowa\"],[\"nebraska\",\"missouri\"],[\"nebraska\",\"kansas\"],[\"nebraska\",\"colorado\"],[\"nebraska\",\"wyoming\"],[\"nevada\",\"idaho\"],[\"nevada\",\"utah\"],[\"nevada\",\"arizona\"],[\"nevada\",\"california\"],[\"nevada\",\"oregon\"],[\"new hampshire\",\"maine\"],[\"new hampshire\",\"massachusetts\"],[\"new hampshire\",\"vermont\"],[\"new jersey\",\"new york\"],[\"new jersey\",\"delaware\"],[\"new jersey\",\"pennsylvania\"],[\"new mexico\",\"colorado\"],[\"new mexico\",\"oklahoma\"],[\"new mexico\",\"texas\"],[\"new mexico\",\"arizona\"],[\"new mexico\",\"utah\"],[\"new york\",\"vermont\"],[\"new york\",\"massachusetts\"],[\"new york\",\"connecticut\"],[\"new york\",\"new jersey\"],[\"new york\",\"pennsylvania\"],[\"north carolina\",\"virginia\"],[\"north carolina\",\"south carolina\"],[\"north carolina\",\"georgia\"],[\"north carolina\",\"tennessee\"],[\"north dakota\",\"minnesota\"],[\"north dakota\",\"south dakota\"],[\"north dakota\",\"montana\"],[\"ohio\",\"michigan\"],[\"ohio\",\"pennsylvania\"],[\"ohio\",\"west virginia\"],[\"ohio\",\"kentucky\"],[\"ohio\",\"indiana\"],[\"oklahoma\",\"kansas\"],[\"oklahoma\",\"missouri\"],[\"oklahoma\",\"arkansas\"],[\"oklahoma\",\"texas\"],[\"oklahoma\",\"new mexico\"],[\"oklahoma\",\"colorado\"],[\"oregon\",\"washington\"],[\"oregon\",\"idaho\"],[\"oregon\",\"nevada\"],[\"oregon\",\"california\"],[\"pennsylvania\",\"new york\"],[\"pennsylvania\",\"new jersey\"],[\"pennsylvania\",\"delaware\"],[\"pennsylvania\",\"maryland\"],[\"pennsylvania\",\"west virginia\"],[\"pennsylvania\",\"ohio\"],[\"rhode island\",\"massachusetts\"],[\"rhode island\",\"connecticut\"],[\"south carolina\",\"north carolina\"],[\"south carolina\",\"georgia\"],[\"south dakota\",\"north dakota\"],[\"south dakota\",\"minnesota\"],[\"south dakota\",\"iowa\"],[\"south dakota\",\"nebraska\"],[\"south dakota\",\"wyoming\"],[\"south dakota\",\"montana\"],[\"tennessee\",\"kentucky\"],[\"tennessee\",\"virginia\"],[\"tennessee\",\"north carolina\"],[\"tennessee\",\"georgia\"],[\"tennessee\",\"alabama\"],[\"tennessee\",\"mississippi\"],[\"tennessee\",\"arkansas\"],[\"tennessee\",\"missouri\"],[\"texas\",\"oklahoma\"],[\"texas\",\"arkansas\"],[\"texas\",\"louisiana\"],[\"texas\",\"new mexico\"],[\"utah\",\"wyoming\"],[\"utah\",\"colorado\"],[\"utah\",\"new mexico\"],[\"utah\",\"arizona\"],[\"utah\",\"nevada\"],[\"utah\",\"idaho\"],[\"vermont\",\"new hampshire\"],[\"vermont\",\"massachusetts\"],[\"vermont\",\"new york\"],[\"virginia\",\"maryland\"],[\"virginia\",\"district of columbia\"],[\"virginia\",\"north carolina\"],[\"virginia\",\"tennessee\"],[\"virginia\",\"kentucky\"],[\"virginia\",\"west virginia\"],[\"washington\",\"idaho\"],[\"washington\",\"oregon\"],[\"west virginia\",\"pennsylvania\"],[\"west virginia\",\"maryland\"],[\"west virginia\",\"virginia\"],[\"west virginia\",\"kentucky\"],[\"west virginia\",\"ohio\"],[\"wisconsin\",\"michigan\"],[\"wisconsin\",\"illinois\"],[\"wisconsin\",\"iowa\"],[\"wisconsin\",\"minnesota\"],[\"wyoming\",\"montana\"],[\"wyoming\",\"south dakota\"],[\"wyoming\",\"nebraska\"],[\"wyoming\",\"colorado\"],[\"wyoming\",\"utah\"],[\"wyoming\",\"idaho\"]]}" ]
what state borders the least states <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318 <table_name> : border_info col : state_name | border row 1 : alabama | tennessee row 2 : alabama | georgia row 3 : alabama | florida row 4 : alabama | mississippi row 5 : arizona | utah row 6 : arizona | colorado row 7 : arizona | new mexico row 8 : arizona | california row 9 : arizona | nevada row 10 : arkansas | missouri row 11 : arkansas | tennessee row 12 : arkansas | mississippi row 13 : arkansas | louisiana row 14 : arkansas | texas row 15 : arkansas | oklahoma row 16 : california | oregon row 17 : california | nevada row 18 : california | arizona row 19 : colorado | nebraska row 20 : colorado | kansas row 21 : colorado | oklahoma row 22 : colorado | new mexico row 23 : colorado | arizona row 24 : colorado | utah row 25 : colorado | wyoming row 26 : connecticut | massachusetts row 27 : connecticut | rhode island row 28 : connecticut | new york row 29 : delaware | pennsylvania row 30 : delaware | new jersey row 31 : delaware | maryland row 32 : district of columbia | maryland row 33 : district of columbia | virginia row 34 : florida | georgia row 35 : florida | alabama row 36 : georgia | north carolina row 37 : georgia | south carolina row 38 : georgia | florida row 39 : georgia | alabama row 40 : georgia | tennessee row 41 : idaho | montana row 42 : idaho | wyoming row 43 : idaho | utah row 44 : idaho | nevada row 45 : idaho | oregon row 46 : idaho | washington row 47 : illinois | wisconsin row 48 : illinois | indiana row 49 : illinois | kentucky row 50 : illinois | missouri row 51 : illinois | iowa row 52 : indiana | michigan row 53 : indiana | ohio row 54 : indiana | kentucky row 55 : indiana | illinois row 56 : iowa | minnesota row 57 : iowa | wisconsin row 58 : iowa | illinois row 59 : iowa | missouri row 60 : iowa | nebraska row 61 : iowa | south dakota row 62 : kansas | nebraska row 63 : kansas | missouri row 64 : kansas | oklahoma row 65 : kansas | colorado row 66 : kentucky | indiana row 67 : kentucky | ohio row 68 : kentucky | west virginia row 69 : kentucky | virginia row 70 : kentucky | tennessee row 71 : kentucky | missouri row 72 : kentucky | illinois row 73 : louisiana | arkansas row 74 : louisiana | mississippi row 75 : louisiana | texas row 76 : maine | new hampshire row 77 : maryland | pennsylvania row 78 : maryland | delaware row 79 : maryland | virginia row 80 : maryland | district of columbia row 81 : maryland | west virginia row 82 : massachusetts | new hampshire row 83 : massachusetts | rhode island row 84 : massachusetts | connecticut row 85 : massachusetts | new york row 86 : massachusetts | vermont row 87 : michigan | ohio row 88 : michigan | indiana row 89 : michigan | wisconsin row 90 : minnesota | wisconsin row 91 : minnesota | iowa row 92 : minnesota | south dakota row 93 : minnesota | north dakota row 94 : mississippi | tennessee row 95 : mississippi | alabama row 96 : mississippi | louisiana row 97 : mississippi | arkansas row 98 : missouri | iowa row 99 : missouri | illinois row 100 : missouri | kentucky row 101 : missouri | tennessee row 102 : missouri | arkansas row 103 : missouri | oklahoma row 104 : missouri | kansas row 105 : missouri | nebraska row 106 : montana | north dakota row 107 : montana | south dakota row 108 : montana | wyoming row 109 : montana | idaho row 110 : nebraska | south dakota row 111 : nebraska | iowa row 112 : nebraska | missouri row 113 : nebraska | kansas row 114 : nebraska | colorado row 115 : nebraska | wyoming row 116 : nevada | idaho row 117 : nevada | utah row 118 : nevada | arizona row 119 : nevada | california row 120 : nevada | oregon row 121 : new hampshire | maine row 122 : new hampshire | massachusetts row 123 : new hampshire | vermont row 124 : new jersey | new york row 125 : new jersey | delaware row 126 : new jersey | pennsylvania row 127 : new mexico | colorado row 128 : new mexico | oklahoma row 129 : new mexico | texas row 130 : new mexico | arizona row 131 : new mexico | utah row 132 : new york | vermont row 133 : new york | massachusetts row 134 : new york | connecticut row 135 : new york | new jersey row 136 : new york | pennsylvania row 137 : north carolina | virginia row 138 : north carolina | south carolina row 139 : north carolina | georgia row 140 : north carolina | tennessee row 141 : north dakota | minnesota row 142 : north dakota | south dakota row 143 : north dakota | montana row 144 : ohio | michigan row 145 : ohio | pennsylvania row 146 : ohio | west virginia row 147 : ohio | kentucky row 148 : ohio | indiana row 149 : oklahoma | kansas row 150 : oklahoma | missouri row 151 : oklahoma | arkansas row 152 : oklahoma | texas row 153 : oklahoma | new mexico row 154 : oklahoma | colorado row 155 : oregon | washington row 156 : oregon | idaho row 157 : oregon | nevada row 158 : oregon | california row 159 : pennsylvania | new york row 160 : pennsylvania | new jersey row 161 : pennsylvania | delaware row 162 : pennsylvania | maryland row 163 : pennsylvania | west virginia row 164 : pennsylvania | ohio row 165 : rhode island | massachusetts row 166 : rhode island | connecticut row 167 : south carolina | north carolina row 168 : south carolina | georgia row 169 : south dakota | north dakota row 170 : south dakota | minnesota row 171 : south dakota | iowa row 172 : south dakota | nebraska row 173 : south dakota | wyoming row 174 : south dakota | montana row 175 : tennessee | kentucky row 176 : tennessee | virginia row 177 : tennessee | north carolina row 178 : tennessee | georgia row 179 : tennessee | alabama row 180 : tennessee | mississippi row 181 : tennessee | arkansas row 182 : tennessee | missouri row 183 : texas | oklahoma row 184 : texas | arkansas row 185 : texas | louisiana row 186 : texas | new mexico row 187 : utah | wyoming row 188 : utah | colorado row 189 : utah | new mexico row 190 : utah | arizona row 191 : utah | nevada row 192 : utah | idaho row 193 : vermont | new hampshire row 194 : vermont | massachusetts row 195 : vermont | new york row 196 : virginia | maryland row 197 : virginia | district of columbia row 198 : virginia | north carolina row 199 : virginia | tennessee row 200 : virginia | kentucky row 201 : virginia | west virginia row 202 : washington | idaho row 203 : washington | oregon row 204 : west virginia | pennsylvania row 205 : west virginia | maryland row 206 : west virginia | virginia row 207 : west virginia | kentucky row 208 : west virginia | ohio row 209 : wisconsin | michigan row 210 : wisconsin | illinois row 211 : wisconsin | iowa row 212 : wisconsin | minnesota row 213 : wyoming | montana row 214 : wyoming | south dakota row 215 : wyoming | nebraska row 216 : wyoming | colorado row 217 : wyoming | utah row 218 : wyoming | idaho
col : state_name row 1 : alaska row 2 : hawaii
SELECT border_info.border FROM border_info WHERE border_info.state_name='california';
what is the adjacent state of california
{"columns":["border"],"index":[0,1,2],"data":[["oregon"],["nevada"],["arizona"]]}
[ "border_info" ]
[ "{\"columns\":[\"state_name\",\"border\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217],\"data\":[[\"alabama\",\"tennessee\"],[\"alabama\",\"georgia\"],[\"alabama\",\"florida\"],[\"alabama\",\"mississippi\"],[\"arizona\",\"utah\"],[\"arizona\",\"colorado\"],[\"arizona\",\"new mexico\"],[\"arizona\",\"california\"],[\"arizona\",\"nevada\"],[\"arkansas\",\"missouri\"],[\"arkansas\",\"tennessee\"],[\"arkansas\",\"mississippi\"],[\"arkansas\",\"louisiana\"],[\"arkansas\",\"texas\"],[\"arkansas\",\"oklahoma\"],[\"california\",\"oregon\"],[\"california\",\"nevada\"],[\"california\",\"arizona\"],[\"colorado\",\"nebraska\"],[\"colorado\",\"kansas\"],[\"colorado\",\"oklahoma\"],[\"colorado\",\"new mexico\"],[\"colorado\",\"arizona\"],[\"colorado\",\"utah\"],[\"colorado\",\"wyoming\"],[\"connecticut\",\"massachusetts\"],[\"connecticut\",\"rhode island\"],[\"connecticut\",\"new york\"],[\"delaware\",\"pennsylvania\"],[\"delaware\",\"new jersey\"],[\"delaware\",\"maryland\"],[\"district of columbia\",\"maryland\"],[\"district of columbia\",\"virginia\"],[\"florida\",\"georgia\"],[\"florida\",\"alabama\"],[\"georgia\",\"north carolina\"],[\"georgia\",\"south carolina\"],[\"georgia\",\"florida\"],[\"georgia\",\"alabama\"],[\"georgia\",\"tennessee\"],[\"idaho\",\"montana\"],[\"idaho\",\"wyoming\"],[\"idaho\",\"utah\"],[\"idaho\",\"nevada\"],[\"idaho\",\"oregon\"],[\"idaho\",\"washington\"],[\"illinois\",\"wisconsin\"],[\"illinois\",\"indiana\"],[\"illinois\",\"kentucky\"],[\"illinois\",\"missouri\"],[\"illinois\",\"iowa\"],[\"indiana\",\"michigan\"],[\"indiana\",\"ohio\"],[\"indiana\",\"kentucky\"],[\"indiana\",\"illinois\"],[\"iowa\",\"minnesota\"],[\"iowa\",\"wisconsin\"],[\"iowa\",\"illinois\"],[\"iowa\",\"missouri\"],[\"iowa\",\"nebraska\"],[\"iowa\",\"south dakota\"],[\"kansas\",\"nebraska\"],[\"kansas\",\"missouri\"],[\"kansas\",\"oklahoma\"],[\"kansas\",\"colorado\"],[\"kentucky\",\"indiana\"],[\"kentucky\",\"ohio\"],[\"kentucky\",\"west virginia\"],[\"kentucky\",\"virginia\"],[\"kentucky\",\"tennessee\"],[\"kentucky\",\"missouri\"],[\"kentucky\",\"illinois\"],[\"louisiana\",\"arkansas\"],[\"louisiana\",\"mississippi\"],[\"louisiana\",\"texas\"],[\"maine\",\"new hampshire\"],[\"maryland\",\"pennsylvania\"],[\"maryland\",\"delaware\"],[\"maryland\",\"virginia\"],[\"maryland\",\"district of columbia\"],[\"maryland\",\"west virginia\"],[\"massachusetts\",\"new hampshire\"],[\"massachusetts\",\"rhode island\"],[\"massachusetts\",\"connecticut\"],[\"massachusetts\",\"new york\"],[\"massachusetts\",\"vermont\"],[\"michigan\",\"ohio\"],[\"michigan\",\"indiana\"],[\"michigan\",\"wisconsin\"],[\"minnesota\",\"wisconsin\"],[\"minnesota\",\"iowa\"],[\"minnesota\",\"south dakota\"],[\"minnesota\",\"north dakota\"],[\"mississippi\",\"tennessee\"],[\"mississippi\",\"alabama\"],[\"mississippi\",\"louisiana\"],[\"mississippi\",\"arkansas\"],[\"missouri\",\"iowa\"],[\"missouri\",\"illinois\"],[\"missouri\",\"kentucky\"],[\"missouri\",\"tennessee\"],[\"missouri\",\"arkansas\"],[\"missouri\",\"oklahoma\"],[\"missouri\",\"kansas\"],[\"missouri\",\"nebraska\"],[\"montana\",\"north dakota\"],[\"montana\",\"south dakota\"],[\"montana\",\"wyoming\"],[\"montana\",\"idaho\"],[\"nebraska\",\"south dakota\"],[\"nebraska\",\"iowa\"],[\"nebraska\",\"missouri\"],[\"nebraska\",\"kansas\"],[\"nebraska\",\"colorado\"],[\"nebraska\",\"wyoming\"],[\"nevada\",\"idaho\"],[\"nevada\",\"utah\"],[\"nevada\",\"arizona\"],[\"nevada\",\"california\"],[\"nevada\",\"oregon\"],[\"new hampshire\",\"maine\"],[\"new hampshire\",\"massachusetts\"],[\"new hampshire\",\"vermont\"],[\"new jersey\",\"new york\"],[\"new jersey\",\"delaware\"],[\"new jersey\",\"pennsylvania\"],[\"new mexico\",\"colorado\"],[\"new mexico\",\"oklahoma\"],[\"new mexico\",\"texas\"],[\"new mexico\",\"arizona\"],[\"new mexico\",\"utah\"],[\"new york\",\"vermont\"],[\"new york\",\"massachusetts\"],[\"new york\",\"connecticut\"],[\"new york\",\"new jersey\"],[\"new york\",\"pennsylvania\"],[\"north carolina\",\"virginia\"],[\"north carolina\",\"south carolina\"],[\"north carolina\",\"georgia\"],[\"north carolina\",\"tennessee\"],[\"north dakota\",\"minnesota\"],[\"north dakota\",\"south dakota\"],[\"north dakota\",\"montana\"],[\"ohio\",\"michigan\"],[\"ohio\",\"pennsylvania\"],[\"ohio\",\"west virginia\"],[\"ohio\",\"kentucky\"],[\"ohio\",\"indiana\"],[\"oklahoma\",\"kansas\"],[\"oklahoma\",\"missouri\"],[\"oklahoma\",\"arkansas\"],[\"oklahoma\",\"texas\"],[\"oklahoma\",\"new mexico\"],[\"oklahoma\",\"colorado\"],[\"oregon\",\"washington\"],[\"oregon\",\"idaho\"],[\"oregon\",\"nevada\"],[\"oregon\",\"california\"],[\"pennsylvania\",\"new york\"],[\"pennsylvania\",\"new jersey\"],[\"pennsylvania\",\"delaware\"],[\"pennsylvania\",\"maryland\"],[\"pennsylvania\",\"west virginia\"],[\"pennsylvania\",\"ohio\"],[\"rhode island\",\"massachusetts\"],[\"rhode island\",\"connecticut\"],[\"south carolina\",\"north carolina\"],[\"south carolina\",\"georgia\"],[\"south dakota\",\"north dakota\"],[\"south dakota\",\"minnesota\"],[\"south dakota\",\"iowa\"],[\"south dakota\",\"nebraska\"],[\"south dakota\",\"wyoming\"],[\"south dakota\",\"montana\"],[\"tennessee\",\"kentucky\"],[\"tennessee\",\"virginia\"],[\"tennessee\",\"north carolina\"],[\"tennessee\",\"georgia\"],[\"tennessee\",\"alabama\"],[\"tennessee\",\"mississippi\"],[\"tennessee\",\"arkansas\"],[\"tennessee\",\"missouri\"],[\"texas\",\"oklahoma\"],[\"texas\",\"arkansas\"],[\"texas\",\"louisiana\"],[\"texas\",\"new mexico\"],[\"utah\",\"wyoming\"],[\"utah\",\"colorado\"],[\"utah\",\"new mexico\"],[\"utah\",\"arizona\"],[\"utah\",\"nevada\"],[\"utah\",\"idaho\"],[\"vermont\",\"new hampshire\"],[\"vermont\",\"massachusetts\"],[\"vermont\",\"new york\"],[\"virginia\",\"maryland\"],[\"virginia\",\"district of columbia\"],[\"virginia\",\"north carolina\"],[\"virginia\",\"tennessee\"],[\"virginia\",\"kentucky\"],[\"virginia\",\"west virginia\"],[\"washington\",\"idaho\"],[\"washington\",\"oregon\"],[\"west virginia\",\"pennsylvania\"],[\"west virginia\",\"maryland\"],[\"west virginia\",\"virginia\"],[\"west virginia\",\"kentucky\"],[\"west virginia\",\"ohio\"],[\"wisconsin\",\"michigan\"],[\"wisconsin\",\"illinois\"],[\"wisconsin\",\"iowa\"],[\"wisconsin\",\"minnesota\"],[\"wyoming\",\"montana\"],[\"wyoming\",\"south dakota\"],[\"wyoming\",\"nebraska\"],[\"wyoming\",\"colorado\"],[\"wyoming\",\"utah\"],[\"wyoming\",\"idaho\"]]}" ]
what is the adjacent state of california <table_name> : border_info col : state_name | border row 1 : alabama | tennessee row 2 : alabama | georgia row 3 : alabama | florida row 4 : alabama | mississippi row 5 : arizona | utah row 6 : arizona | colorado row 7 : arizona | new mexico row 8 : arizona | california row 9 : arizona | nevada row 10 : arkansas | missouri row 11 : arkansas | tennessee row 12 : arkansas | mississippi row 13 : arkansas | louisiana row 14 : arkansas | texas row 15 : arkansas | oklahoma row 16 : california | oregon row 17 : california | nevada row 18 : california | arizona row 19 : colorado | nebraska row 20 : colorado | kansas row 21 : colorado | oklahoma row 22 : colorado | new mexico row 23 : colorado | arizona row 24 : colorado | utah row 25 : colorado | wyoming row 26 : connecticut | massachusetts row 27 : connecticut | rhode island row 28 : connecticut | new york row 29 : delaware | pennsylvania row 30 : delaware | new jersey row 31 : delaware | maryland row 32 : district of columbia | maryland row 33 : district of columbia | virginia row 34 : florida | georgia row 35 : florida | alabama row 36 : georgia | north carolina row 37 : georgia | south carolina row 38 : georgia | florida row 39 : georgia | alabama row 40 : georgia | tennessee row 41 : idaho | montana row 42 : idaho | wyoming row 43 : idaho | utah row 44 : idaho | nevada row 45 : idaho | oregon row 46 : idaho | washington row 47 : illinois | wisconsin row 48 : illinois | indiana row 49 : illinois | kentucky row 50 : illinois | missouri row 51 : illinois | iowa row 52 : indiana | michigan row 53 : indiana | ohio row 54 : indiana | kentucky row 55 : indiana | illinois row 56 : iowa | minnesota row 57 : iowa | wisconsin row 58 : iowa | illinois row 59 : iowa | missouri row 60 : iowa | nebraska row 61 : iowa | south dakota row 62 : kansas | nebraska row 63 : kansas | missouri row 64 : kansas | oklahoma row 65 : kansas | colorado row 66 : kentucky | indiana row 67 : kentucky | ohio row 68 : kentucky | west virginia row 69 : kentucky | virginia row 70 : kentucky | tennessee row 71 : kentucky | missouri row 72 : kentucky | illinois row 73 : louisiana | arkansas row 74 : louisiana | mississippi row 75 : louisiana | texas row 76 : maine | new hampshire row 77 : maryland | pennsylvania row 78 : maryland | delaware row 79 : maryland | virginia row 80 : maryland | district of columbia row 81 : maryland | west virginia row 82 : massachusetts | new hampshire row 83 : massachusetts | rhode island row 84 : massachusetts | connecticut row 85 : massachusetts | new york row 86 : massachusetts | vermont row 87 : michigan | ohio row 88 : michigan | indiana row 89 : michigan | wisconsin row 90 : minnesota | wisconsin row 91 : minnesota | iowa row 92 : minnesota | south dakota row 93 : minnesota | north dakota row 94 : mississippi | tennessee row 95 : mississippi | alabama row 96 : mississippi | louisiana row 97 : mississippi | arkansas row 98 : missouri | iowa row 99 : missouri | illinois row 100 : missouri | kentucky row 101 : missouri | tennessee row 102 : missouri | arkansas row 103 : missouri | oklahoma row 104 : missouri | kansas row 105 : missouri | nebraska row 106 : montana | north dakota row 107 : montana | south dakota row 108 : montana | wyoming row 109 : montana | idaho row 110 : nebraska | south dakota row 111 : nebraska | iowa row 112 : nebraska | missouri row 113 : nebraska | kansas row 114 : nebraska | colorado row 115 : nebraska | wyoming row 116 : nevada | idaho row 117 : nevada | utah row 118 : nevada | arizona row 119 : nevada | california row 120 : nevada | oregon row 121 : new hampshire | maine row 122 : new hampshire | massachusetts row 123 : new hampshire | vermont row 124 : new jersey | new york row 125 : new jersey | delaware row 126 : new jersey | pennsylvania row 127 : new mexico | colorado row 128 : new mexico | oklahoma row 129 : new mexico | texas row 130 : new mexico | arizona row 131 : new mexico | utah row 132 : new york | vermont row 133 : new york | massachusetts row 134 : new york | connecticut row 135 : new york | new jersey row 136 : new york | pennsylvania row 137 : north carolina | virginia row 138 : north carolina | south carolina row 139 : north carolina | georgia row 140 : north carolina | tennessee row 141 : north dakota | minnesota row 142 : north dakota | south dakota row 143 : north dakota | montana row 144 : ohio | michigan row 145 : ohio | pennsylvania row 146 : ohio | west virginia row 147 : ohio | kentucky row 148 : ohio | indiana row 149 : oklahoma | kansas row 150 : oklahoma | missouri row 151 : oklahoma | arkansas row 152 : oklahoma | texas row 153 : oklahoma | new mexico row 154 : oklahoma | colorado row 155 : oregon | washington row 156 : oregon | idaho row 157 : oregon | nevada row 158 : oregon | california row 159 : pennsylvania | new york row 160 : pennsylvania | new jersey row 161 : pennsylvania | delaware row 162 : pennsylvania | maryland row 163 : pennsylvania | west virginia row 164 : pennsylvania | ohio row 165 : rhode island | massachusetts row 166 : rhode island | connecticut row 167 : south carolina | north carolina row 168 : south carolina | georgia row 169 : south dakota | north dakota row 170 : south dakota | minnesota row 171 : south dakota | iowa row 172 : south dakota | nebraska row 173 : south dakota | wyoming row 174 : south dakota | montana row 175 : tennessee | kentucky row 176 : tennessee | virginia row 177 : tennessee | north carolina row 178 : tennessee | georgia row 179 : tennessee | alabama row 180 : tennessee | mississippi row 181 : tennessee | arkansas row 182 : tennessee | missouri row 183 : texas | oklahoma row 184 : texas | arkansas row 185 : texas | louisiana row 186 : texas | new mexico row 187 : utah | wyoming row 188 : utah | colorado row 189 : utah | new mexico row 190 : utah | arizona row 191 : utah | nevada row 192 : utah | idaho row 193 : vermont | new hampshire row 194 : vermont | massachusetts row 195 : vermont | new york row 196 : virginia | maryland row 197 : virginia | district of columbia row 198 : virginia | north carolina row 199 : virginia | tennessee row 200 : virginia | kentucky row 201 : virginia | west virginia row 202 : washington | idaho row 203 : washington | oregon row 204 : west virginia | pennsylvania row 205 : west virginia | maryland row 206 : west virginia | virginia row 207 : west virginia | kentucky row 208 : west virginia | ohio row 209 : wisconsin | michigan row 210 : wisconsin | illinois row 211 : wisconsin | iowa row 212 : wisconsin | minnesota row 213 : wyoming | montana row 214 : wyoming | south dakota row 215 : wyoming | nebraska row 216 : wyoming | colorado row 217 : wyoming | utah row 218 : wyoming | idaho
col : border row 1 : oregon row 2 : nevada row 3 : arizona
SELECT state.area FROM state WHERE state.state_name='california';
what is the area of california
{"columns":["area"],"index":[0],"data":[[158000.0]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what is the area of california <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : area row 1 : 158000
SELECT highlow.state_name FROM highlow WHERE highlow.highest_elevation=(SELECT max(highlow.highest_elevation) FROM highlow);
what is the state wih the highest elevation in the united states
{"columns":["state_name"],"index":[0],"data":[["pennsylvania"]]}
[ "highlow" ]
[ "{\"columns\":[\"state_name\",\"highest_elevation\",\"lowest_point\",\"highest_point\",\"lowest_elevation\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",\"734\",\"gulf of mexico\",\"cheaha mountain\",\"0\"],[\"alaska\",\"6194\",\"pacific ocean\",\"mount mckinley\",\"0\"],[\"arizona\",\"3851\",\"colorado river\",\"humphreys peak\",\"21\"],[\"arkansas\",\"839\",\"ouachita river\",\"magazine mountain\",\"17\"],[\"california\",\"4418\",\"death valley\",\"mount whitney\",\"-85\"],[\"colorado\",\"4399\",\"arkansas river\",\"mount elbert\",\"1021\"],[\"connecticut\",\"725\",\"long island sound\",\"mount frissell\",\"0\"],[\"delaware\",\"135\",\"atlantic ocean\",\"centerville\",\"0\"],[\"district of columbia\",\"125\",\"potomac river\",\"tenleytown\",\"0\"],[\"florida\",\"105\",\"atlantic ocean\",\"walton county\",\"0\"],[\"georgia\",\"1458\",\"atlantic ocean\",\"brasstown bald\",\"0\"],[\"hawaii\",\"4205\",\"pacific ocean\",\"mauna kea\",\"0\"],[\"idaho\",\"3859\",\"snake river\",\"borah peak\",\"216\"],[\"illinois\",\"376\",\"mississippi river\",\"charles mound\",\"85\"],[\"indiana\",\"383\",\"ohio river\",\"franklin township\",\"98\"],[\"iowa\",\"511\",\"mississippi river\",\"ocheyedan mound\",\"146\"],[\"kansas\",\"1231\",\"verdigris river\",\"mount sunflower\",\"207\"],[\"kentucky\",\"1263\",\"mississippi river\",\"black mountain\",\"78\"],[\"louisiana\",\"163\",\"new orleans\",\"driskill mountain\",\"-1\"],[\"maine\",\"1606\",\"atlantic ocean\",\"mount katahdin\",\"0\"],[\"maryland\",\"1024\",\"atlantic ocean\",\"backbone mountain\",\"0\"],[\"massachusetts\",\"1064\",\"atlantic ocean\",\"mount greylock\",\"0\"],[\"michigan\",\"604\",\"lake erie\",\"mount curwood\",\"174\"],[\"minnesota\",\"701\",\"lake superior\",\"eagle mountain\",\"183\"],[\"mississippi\",\"246\",\"gulf of mexico\",\"woodall mountain\",\"0\"],[\"missouri\",\"540\",\"st. francis river\",\"taum sauk mountain\",\"70\"],[\"montana\",\"3901\",\"kootenai river\",\"granite peak\",\"549\"],[\"nebraska\",\"1654\",\"southeast corner\",\"johnson township\",\"256\"],[\"nevada\",\"4005\",\"colorado river\",\"boundary peak\",\"143\"],[\"new hampshire\",\"1917\",\"atlantic ocean\",\"mount washington\",\"0\"],[\"new jersey\",\"550\",\"atlantic ocean\",\"high point\",\"0\"],[\"new mexico\",\"4011\",\"red bluff reservoir\",\"wheeler peak\",\"859\"],[\"new york\",\"1629\",\"atlantic ocean\",\"mount marcy\",\"0\"],[\"north carolina\",\"2037\",\"atlantic ocean\",\"mount mitchell\",\"0\"],[\"north dakota\",\"1069\",\"red river\",\"white butte\",\"229\"],[\"ohio\",\"472\",\"ohio river\",\"campbell hill\",\"132\"],[\"oklahoma\",\"1516\",\"little river\",\"black mesa\",\"87\"],[\"oregon\",\"3424\",\"pacific ocean\",\"mount hood\",\"0\"],[\"pennsylvania\",\"979\",\"delaware river\",\"mount davis\",\"0\"],[\"rhode island\",\"247\",\"atlantic ocean\",\"jerimoth hill\",\"0\"],[\"south carolina\",\"1085\",\"atlantic ocean\",\"sassafras mountain\",\"0\"],[\"south dakota\",\"2207\",\"big stone lake\",\"harney peak\",\"284\"],[\"tennessee\",\"2025\",\"mississippi river\",\"clingmans dome\",\"55\"],[\"texas\",\"2667\",\"gulf of mexico\",\"guadalupe peak\",\"0\"],[\"utah\",\"4123\",\"beaver dam creek\",\"kings peak\",\"610\"],[\"vermont\",\"1339\",\"lake champlain\",\"mount mansfield\",\"29\"],[\"virginia\",\"1746\",\"atlantic ocean\",\"mount rogers\",\"0\"],[\"washington\",\"4392\",\"pacific ocean\",\"mount rainier\",\"0\"],[\"west virginia\",\"1482\",\"potomac river\",\"spruce knob\",\"73\"],[\"wisconsin\",\"595\",\"lake michigan\",\"timms hill\",\"177\"],[\"wyoming\",\"4202\",\"belle fourche river\",\"gannett peak\",\"945\"]]}" ]
what is the state wih the highest elevation in the united states <table_name> : highlow col : state_name | highest_elevation | lowest_point | highest_point | lowest_elevation row 1 : alabama | 734 | gulf of mexico | cheaha mountain | 0 row 2 : alaska | 6194 | pacific ocean | mount mckinley | 0 row 3 : arizona | 3851 | colorado river | humphreys peak | 21 row 4 : arkansas | 839 | ouachita river | magazine mountain | 17 row 5 : california | 4418 | death valley | mount whitney | -85 row 6 : colorado | 4399 | arkansas river | mount elbert | 1021 row 7 : connecticut | 725 | long island sound | mount frissell | 0 row 8 : delaware | 135 | atlantic ocean | centerville | 0 row 9 : district of columbia | 125 | potomac river | tenleytown | 0 row 10 : florida | 105 | atlantic ocean | walton county | 0 row 11 : georgia | 1458 | atlantic ocean | brasstown bald | 0 row 12 : hawaii | 4205 | pacific ocean | mauna kea | 0 row 13 : idaho | 3859 | snake river | borah peak | 216 row 14 : illinois | 376 | mississippi river | charles mound | 85 row 15 : indiana | 383 | ohio river | franklin township | 98 row 16 : iowa | 511 | mississippi river | ocheyedan mound | 146 row 17 : kansas | 1231 | verdigris river | mount sunflower | 207 row 18 : kentucky | 1263 | mississippi river | black mountain | 78 row 19 : louisiana | 163 | new orleans | driskill mountain | -1 row 20 : maine | 1606 | atlantic ocean | mount katahdin | 0 row 21 : maryland | 1024 | atlantic ocean | backbone mountain | 0 row 22 : massachusetts | 1064 | atlantic ocean | mount greylock | 0 row 23 : michigan | 604 | lake erie | mount curwood | 174 row 24 : minnesota | 701 | lake superior | eagle mountain | 183 row 25 : mississippi | 246 | gulf of mexico | woodall mountain | 0 row 26 : missouri | 540 | st. francis river | taum sauk mountain | 70 row 27 : montana | 3901 | kootenai river | granite peak | 549 row 28 : nebraska | 1654 | southeast corner | johnson township | 256 row 29 : nevada | 4005 | colorado river | boundary peak | 143 row 30 : new hampshire | 1917 | atlantic ocean | mount washington | 0 row 31 : new jersey | 550 | atlantic ocean | high point | 0 row 32 : new mexico | 4011 | red bluff reservoir | wheeler peak | 859 row 33 : new york | 1629 | atlantic ocean | mount marcy | 0 row 34 : north carolina | 2037 | atlantic ocean | mount mitchell | 0 row 35 : north dakota | 1069 | red river | white butte | 229 row 36 : ohio | 472 | ohio river | campbell hill | 132 row 37 : oklahoma | 1516 | little river | black mesa | 87 row 38 : oregon | 3424 | pacific ocean | mount hood | 0 row 39 : pennsylvania | 979 | delaware river | mount davis | 0 row 40 : rhode island | 247 | atlantic ocean | jerimoth hill | 0 row 41 : south carolina | 1085 | atlantic ocean | sassafras mountain | 0 row 42 : south dakota | 2207 | big stone lake | harney peak | 284 row 43 : tennessee | 2025 | mississippi river | clingmans dome | 55 row 44 : texas | 2667 | gulf of mexico | guadalupe peak | 0 row 45 : utah | 4123 | beaver dam creek | kings peak | 610 row 46 : vermont | 1339 | lake champlain | mount mansfield | 29 row 47 : virginia | 1746 | atlantic ocean | mount rogers | 0 row 48 : washington | 4392 | pacific ocean | mount rainier | 0 row 49 : west virginia | 1482 | potomac river | spruce knob | 73 row 50 : wisconsin | 595 | lake michigan | timms hill | 177 row 51 : wyoming | 4202 | belle fourche river | gannett peak | 945
col : state_name row 1 : pennsylvania
SELECT state.capital FROM state WHERE state.state_name='michigan';
what is the capital of michigan
{"columns":["capital"],"index":[0],"data":[["lansing"]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what is the capital of michigan <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : capital row 1 : lansing
SELECT highlow.highest_point FROM highlow WHERE highlow.state_name='new mexico';
what is the highest point in new mexico
{"columns":["highest_point"],"index":[0],"data":[["wheeler peak"]]}
[ "highlow" ]
[ "{\"columns\":[\"state_name\",\"highest_elevation\",\"lowest_point\",\"highest_point\",\"lowest_elevation\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",\"734\",\"gulf of mexico\",\"cheaha mountain\",\"0\"],[\"alaska\",\"6194\",\"pacific ocean\",\"mount mckinley\",\"0\"],[\"arizona\",\"3851\",\"colorado river\",\"humphreys peak\",\"21\"],[\"arkansas\",\"839\",\"ouachita river\",\"magazine mountain\",\"17\"],[\"california\",\"4418\",\"death valley\",\"mount whitney\",\"-85\"],[\"colorado\",\"4399\",\"arkansas river\",\"mount elbert\",\"1021\"],[\"connecticut\",\"725\",\"long island sound\",\"mount frissell\",\"0\"],[\"delaware\",\"135\",\"atlantic ocean\",\"centerville\",\"0\"],[\"district of columbia\",\"125\",\"potomac river\",\"tenleytown\",\"0\"],[\"florida\",\"105\",\"atlantic ocean\",\"walton county\",\"0\"],[\"georgia\",\"1458\",\"atlantic ocean\",\"brasstown bald\",\"0\"],[\"hawaii\",\"4205\",\"pacific ocean\",\"mauna kea\",\"0\"],[\"idaho\",\"3859\",\"snake river\",\"borah peak\",\"216\"],[\"illinois\",\"376\",\"mississippi river\",\"charles mound\",\"85\"],[\"indiana\",\"383\",\"ohio river\",\"franklin township\",\"98\"],[\"iowa\",\"511\",\"mississippi river\",\"ocheyedan mound\",\"146\"],[\"kansas\",\"1231\",\"verdigris river\",\"mount sunflower\",\"207\"],[\"kentucky\",\"1263\",\"mississippi river\",\"black mountain\",\"78\"],[\"louisiana\",\"163\",\"new orleans\",\"driskill mountain\",\"-1\"],[\"maine\",\"1606\",\"atlantic ocean\",\"mount katahdin\",\"0\"],[\"maryland\",\"1024\",\"atlantic ocean\",\"backbone mountain\",\"0\"],[\"massachusetts\",\"1064\",\"atlantic ocean\",\"mount greylock\",\"0\"],[\"michigan\",\"604\",\"lake erie\",\"mount curwood\",\"174\"],[\"minnesota\",\"701\",\"lake superior\",\"eagle mountain\",\"183\"],[\"mississippi\",\"246\",\"gulf of mexico\",\"woodall mountain\",\"0\"],[\"missouri\",\"540\",\"st. francis river\",\"taum sauk mountain\",\"70\"],[\"montana\",\"3901\",\"kootenai river\",\"granite peak\",\"549\"],[\"nebraska\",\"1654\",\"southeast corner\",\"johnson township\",\"256\"],[\"nevada\",\"4005\",\"colorado river\",\"boundary peak\",\"143\"],[\"new hampshire\",\"1917\",\"atlantic ocean\",\"mount washington\",\"0\"],[\"new jersey\",\"550\",\"atlantic ocean\",\"high point\",\"0\"],[\"new mexico\",\"4011\",\"red bluff reservoir\",\"wheeler peak\",\"859\"],[\"new york\",\"1629\",\"atlantic ocean\",\"mount marcy\",\"0\"],[\"north carolina\",\"2037\",\"atlantic ocean\",\"mount mitchell\",\"0\"],[\"north dakota\",\"1069\",\"red river\",\"white butte\",\"229\"],[\"ohio\",\"472\",\"ohio river\",\"campbell hill\",\"132\"],[\"oklahoma\",\"1516\",\"little river\",\"black mesa\",\"87\"],[\"oregon\",\"3424\",\"pacific ocean\",\"mount hood\",\"0\"],[\"pennsylvania\",\"979\",\"delaware river\",\"mount davis\",\"0\"],[\"rhode island\",\"247\",\"atlantic ocean\",\"jerimoth hill\",\"0\"],[\"south carolina\",\"1085\",\"atlantic ocean\",\"sassafras mountain\",\"0\"],[\"south dakota\",\"2207\",\"big stone lake\",\"harney peak\",\"284\"],[\"tennessee\",\"2025\",\"mississippi river\",\"clingmans dome\",\"55\"],[\"texas\",\"2667\",\"gulf of mexico\",\"guadalupe peak\",\"0\"],[\"utah\",\"4123\",\"beaver dam creek\",\"kings peak\",\"610\"],[\"vermont\",\"1339\",\"lake champlain\",\"mount mansfield\",\"29\"],[\"virginia\",\"1746\",\"atlantic ocean\",\"mount rogers\",\"0\"],[\"washington\",\"4392\",\"pacific ocean\",\"mount rainier\",\"0\"],[\"west virginia\",\"1482\",\"potomac river\",\"spruce knob\",\"73\"],[\"wisconsin\",\"595\",\"lake michigan\",\"timms hill\",\"177\"],[\"wyoming\",\"4202\",\"belle fourche river\",\"gannett peak\",\"945\"]]}" ]
what is the highest point in new mexico <table_name> : highlow col : state_name | highest_elevation | lowest_point | highest_point | lowest_elevation row 1 : alabama | 734 | gulf of mexico | cheaha mountain | 0 row 2 : alaska | 6194 | pacific ocean | mount mckinley | 0 row 3 : arizona | 3851 | colorado river | humphreys peak | 21 row 4 : arkansas | 839 | ouachita river | magazine mountain | 17 row 5 : california | 4418 | death valley | mount whitney | -85 row 6 : colorado | 4399 | arkansas river | mount elbert | 1021 row 7 : connecticut | 725 | long island sound | mount frissell | 0 row 8 : delaware | 135 | atlantic ocean | centerville | 0 row 9 : district of columbia | 125 | potomac river | tenleytown | 0 row 10 : florida | 105 | atlantic ocean | walton county | 0 row 11 : georgia | 1458 | atlantic ocean | brasstown bald | 0 row 12 : hawaii | 4205 | pacific ocean | mauna kea | 0 row 13 : idaho | 3859 | snake river | borah peak | 216 row 14 : illinois | 376 | mississippi river | charles mound | 85 row 15 : indiana | 383 | ohio river | franklin township | 98 row 16 : iowa | 511 | mississippi river | ocheyedan mound | 146 row 17 : kansas | 1231 | verdigris river | mount sunflower | 207 row 18 : kentucky | 1263 | mississippi river | black mountain | 78 row 19 : louisiana | 163 | new orleans | driskill mountain | -1 row 20 : maine | 1606 | atlantic ocean | mount katahdin | 0 row 21 : maryland | 1024 | atlantic ocean | backbone mountain | 0 row 22 : massachusetts | 1064 | atlantic ocean | mount greylock | 0 row 23 : michigan | 604 | lake erie | mount curwood | 174 row 24 : minnesota | 701 | lake superior | eagle mountain | 183 row 25 : mississippi | 246 | gulf of mexico | woodall mountain | 0 row 26 : missouri | 540 | st. francis river | taum sauk mountain | 70 row 27 : montana | 3901 | kootenai river | granite peak | 549 row 28 : nebraska | 1654 | southeast corner | johnson township | 256 row 29 : nevada | 4005 | colorado river | boundary peak | 143 row 30 : new hampshire | 1917 | atlantic ocean | mount washington | 0 row 31 : new jersey | 550 | atlantic ocean | high point | 0 row 32 : new mexico | 4011 | red bluff reservoir | wheeler peak | 859 row 33 : new york | 1629 | atlantic ocean | mount marcy | 0 row 34 : north carolina | 2037 | atlantic ocean | mount mitchell | 0 row 35 : north dakota | 1069 | red river | white butte | 229 row 36 : ohio | 472 | ohio river | campbell hill | 132 row 37 : oklahoma | 1516 | little river | black mesa | 87 row 38 : oregon | 3424 | pacific ocean | mount hood | 0 row 39 : pennsylvania | 979 | delaware river | mount davis | 0 row 40 : rhode island | 247 | atlantic ocean | jerimoth hill | 0 row 41 : south carolina | 1085 | atlantic ocean | sassafras mountain | 0 row 42 : south dakota | 2207 | big stone lake | harney peak | 284 row 43 : tennessee | 2025 | mississippi river | clingmans dome | 55 row 44 : texas | 2667 | gulf of mexico | guadalupe peak | 0 row 45 : utah | 4123 | beaver dam creek | kings peak | 610 row 46 : vermont | 1339 | lake champlain | mount mansfield | 29 row 47 : virginia | 1746 | atlantic ocean | mount rogers | 0 row 48 : washington | 4392 | pacific ocean | mount rainier | 0 row 49 : west virginia | 1482 | potomac river | spruce knob | 73 row 50 : wisconsin | 595 | lake michigan | timms hill | 177 row 51 : wyoming | 4202 | belle fourche river | gannett peak | 945
col : highest_point row 1 : wheeler peak
SELECT count(city.city_name) FROM city WHERE city.city_name='austin';
how many cities named austin are there in the usa
{"columns":["count(city.city_name)"],"index":[0],"data":[[1]]}
[ "city" ]
[ "{\"columns\":[\"city_name\",\"population\",\"country_name\",\"state_name\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385],\"data\":[[\"birmingham\",284413,\"usa\",\"alabama\"],[\"mobile\",200452,\"usa\",\"alabama\"],[\"montgomery\",177857,\"usa\",\"alabama\"],[\"huntsville\",142513,\"usa\",\"alabama\"],[\"tuscaloosa\",75143,\"usa\",\"alabama\"],[\"anchorage\",174431,\"usa\",\"alaska\"],[\"phoenix\",789704,\"usa\",\"arizona\"],[\"tucson\",330537,\"usa\",\"arizona\"],[\"mesa\",152453,\"usa\",\"arizona\"],[\"tempe\",106919,\"usa\",\"arizona\"],[\"glendale\",96988,\"usa\",\"arizona\"],[\"scottsdale\",88622,\"usa\",\"arizona\"],[\"little rock\",158915,\"usa\",\"arkansas\"],[\"fort smith\",71384,\"usa\",\"arkansas\"],[\"north little rock\",64388,\"usa\",\"arkansas\"],[\"los angeles\",2966850,\"usa\",\"california\"],[\"san diego\",875538,\"usa\",\"california\"],[\"san francisco\",678974,\"usa\",\"california\"],[\"san jose\",629442,\"usa\",\"california\"],[\"long beach\",361334,\"usa\",\"california\"],[\"oakland\",339337,\"usa\",\"california\"],[\"sacramento\",275741,\"usa\",\"california\"],[\"anaheim\",219311,\"usa\",\"california\"],[\"fresno\",218202,\"usa\",\"california\"],[\"santa ana\",203713,\"usa\",\"california\"],[\"riverside\",170876,\"usa\",\"california\"],[\"huntington beach\",170505,\"usa\",\"california\"],[\"stockton\",149779,\"usa\",\"california\"],[\"glendale\",139060,\"usa\",\"california\"],[\"fremont\",131945,\"usa\",\"california\"],[\"torrance\",131497,\"usa\",\"california\"],[\"garden grove\",123351,\"usa\",\"california\"],[\"san bernardino\",118794,\"usa\",\"california\"],[\"pasadena\",118072,\"usa\",\"california\"],[\"east los angeles\",110017,\"usa\",\"california\"],[\"oxnard\",108195,\"usa\",\"california\"],[\"modesto\",106963,\"usa\",\"california\"],[\"sunnyvale\",106618,\"usa\",\"california\"],[\"bakersfield\",105611,\"usa\",\"california\"],[\"concord\",103763,\"usa\",\"california\"],[\"berkeley\",103328,\"usa\",\"california\"],[\"fullerton\",102246,\"usa\",\"california\"],[\"inglewood\",94162,\"usa\",\"california\"],[\"hayward\",93585,\"usa\",\"california\"],[\"pomona\",92742,\"usa\",\"california\"],[\"orange\",91450,\"usa\",\"california\"],[\"ontario\",88820,\"usa\",\"california\"],[\"santa monica\",88314,\"usa\",\"california\"],[\"santa clara\",87700,\"usa\",\"california\"],[\"citrus heights\",85911,\"usa\",\"california\"],[\"norwalk\",84901,\"usa\",\"california\"],[\"burbank\",84625,\"usa\",\"california\"],[\"chula vista\",83927,\"usa\",\"california\"],[\"santa 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how many cities named austin are there in the usa <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : count(city.city_name) row 1 : 1
SELECT highlow.lowest_point FROM highlow WHERE highlow.state_name='colorado';
what is the lowest point of colorado
{"columns":["lowest_point"],"index":[0],"data":[["arkansas river"]]}
[ "highlow" ]
[ "{\"columns\":[\"state_name\",\"highest_elevation\",\"lowest_point\",\"highest_point\",\"lowest_elevation\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",\"734\",\"gulf of mexico\",\"cheaha mountain\",\"0\"],[\"alaska\",\"6194\",\"pacific ocean\",\"mount mckinley\",\"0\"],[\"arizona\",\"3851\",\"colorado river\",\"humphreys peak\",\"21\"],[\"arkansas\",\"839\",\"ouachita river\",\"magazine mountain\",\"17\"],[\"california\",\"4418\",\"death valley\",\"mount whitney\",\"-85\"],[\"colorado\",\"4399\",\"arkansas river\",\"mount elbert\",\"1021\"],[\"connecticut\",\"725\",\"long island sound\",\"mount frissell\",\"0\"],[\"delaware\",\"135\",\"atlantic ocean\",\"centerville\",\"0\"],[\"district of columbia\",\"125\",\"potomac river\",\"tenleytown\",\"0\"],[\"florida\",\"105\",\"atlantic ocean\",\"walton county\",\"0\"],[\"georgia\",\"1458\",\"atlantic ocean\",\"brasstown bald\",\"0\"],[\"hawaii\",\"4205\",\"pacific ocean\",\"mauna kea\",\"0\"],[\"idaho\",\"3859\",\"snake river\",\"borah peak\",\"216\"],[\"illinois\",\"376\",\"mississippi river\",\"charles mound\",\"85\"],[\"indiana\",\"383\",\"ohio river\",\"franklin township\",\"98\"],[\"iowa\",\"511\",\"mississippi river\",\"ocheyedan mound\",\"146\"],[\"kansas\",\"1231\",\"verdigris river\",\"mount sunflower\",\"207\"],[\"kentucky\",\"1263\",\"mississippi river\",\"black mountain\",\"78\"],[\"louisiana\",\"163\",\"new orleans\",\"driskill mountain\",\"-1\"],[\"maine\",\"1606\",\"atlantic ocean\",\"mount katahdin\",\"0\"],[\"maryland\",\"1024\",\"atlantic ocean\",\"backbone mountain\",\"0\"],[\"massachusetts\",\"1064\",\"atlantic ocean\",\"mount greylock\",\"0\"],[\"michigan\",\"604\",\"lake erie\",\"mount curwood\",\"174\"],[\"minnesota\",\"701\",\"lake superior\",\"eagle mountain\",\"183\"],[\"mississippi\",\"246\",\"gulf of mexico\",\"woodall mountain\",\"0\"],[\"missouri\",\"540\",\"st. francis river\",\"taum sauk mountain\",\"70\"],[\"montana\",\"3901\",\"kootenai river\",\"granite peak\",\"549\"],[\"nebraska\",\"1654\",\"southeast corner\",\"johnson township\",\"256\"],[\"nevada\",\"4005\",\"colorado river\",\"boundary peak\",\"143\"],[\"new hampshire\",\"1917\",\"atlantic ocean\",\"mount washington\",\"0\"],[\"new jersey\",\"550\",\"atlantic ocean\",\"high point\",\"0\"],[\"new mexico\",\"4011\",\"red bluff reservoir\",\"wheeler peak\",\"859\"],[\"new york\",\"1629\",\"atlantic ocean\",\"mount marcy\",\"0\"],[\"north carolina\",\"2037\",\"atlantic ocean\",\"mount mitchell\",\"0\"],[\"north dakota\",\"1069\",\"red river\",\"white butte\",\"229\"],[\"ohio\",\"472\",\"ohio river\",\"campbell hill\",\"132\"],[\"oklahoma\",\"1516\",\"little river\",\"black mesa\",\"87\"],[\"oregon\",\"3424\",\"pacific ocean\",\"mount hood\",\"0\"],[\"pennsylvania\",\"979\",\"delaware river\",\"mount davis\",\"0\"],[\"rhode island\",\"247\",\"atlantic ocean\",\"jerimoth hill\",\"0\"],[\"south carolina\",\"1085\",\"atlantic ocean\",\"sassafras mountain\",\"0\"],[\"south dakota\",\"2207\",\"big stone lake\",\"harney peak\",\"284\"],[\"tennessee\",\"2025\",\"mississippi river\",\"clingmans dome\",\"55\"],[\"texas\",\"2667\",\"gulf of mexico\",\"guadalupe peak\",\"0\"],[\"utah\",\"4123\",\"beaver dam creek\",\"kings peak\",\"610\"],[\"vermont\",\"1339\",\"lake champlain\",\"mount mansfield\",\"29\"],[\"virginia\",\"1746\",\"atlantic ocean\",\"mount rogers\",\"0\"],[\"washington\",\"4392\",\"pacific ocean\",\"mount rainier\",\"0\"],[\"west virginia\",\"1482\",\"potomac river\",\"spruce knob\",\"73\"],[\"wisconsin\",\"595\",\"lake michigan\",\"timms hill\",\"177\"],[\"wyoming\",\"4202\",\"belle fourche river\",\"gannett peak\",\"945\"]]}" ]
what is the lowest point of colorado <table_name> : highlow col : state_name | highest_elevation | lowest_point | highest_point | lowest_elevation row 1 : alabama | 734 | gulf of mexico | cheaha mountain | 0 row 2 : alaska | 6194 | pacific ocean | mount mckinley | 0 row 3 : arizona | 3851 | colorado river | humphreys peak | 21 row 4 : arkansas | 839 | ouachita river | magazine mountain | 17 row 5 : california | 4418 | death valley | mount whitney | -85 row 6 : colorado | 4399 | arkansas river | mount elbert | 1021 row 7 : connecticut | 725 | long island sound | mount frissell | 0 row 8 : delaware | 135 | atlantic ocean | centerville | 0 row 9 : district of columbia | 125 | potomac river | tenleytown | 0 row 10 : florida | 105 | atlantic ocean | walton county | 0 row 11 : georgia | 1458 | atlantic ocean | brasstown bald | 0 row 12 : hawaii | 4205 | pacific ocean | mauna kea | 0 row 13 : idaho | 3859 | snake river | borah peak | 216 row 14 : illinois | 376 | mississippi river | charles mound | 85 row 15 : indiana | 383 | ohio river | franklin township | 98 row 16 : iowa | 511 | mississippi river | ocheyedan mound | 146 row 17 : kansas | 1231 | verdigris river | mount sunflower | 207 row 18 : kentucky | 1263 | mississippi river | black mountain | 78 row 19 : louisiana | 163 | new orleans | driskill mountain | -1 row 20 : maine | 1606 | atlantic ocean | mount katahdin | 0 row 21 : maryland | 1024 | atlantic ocean | backbone mountain | 0 row 22 : massachusetts | 1064 | atlantic ocean | mount greylock | 0 row 23 : michigan | 604 | lake erie | mount curwood | 174 row 24 : minnesota | 701 | lake superior | eagle mountain | 183 row 25 : mississippi | 246 | gulf of mexico | woodall mountain | 0 row 26 : missouri | 540 | st. francis river | taum sauk mountain | 70 row 27 : montana | 3901 | kootenai river | granite peak | 549 row 28 : nebraska | 1654 | southeast corner | johnson township | 256 row 29 : nevada | 4005 | colorado river | boundary peak | 143 row 30 : new hampshire | 1917 | atlantic ocean | mount washington | 0 row 31 : new jersey | 550 | atlantic ocean | high point | 0 row 32 : new mexico | 4011 | red bluff reservoir | wheeler peak | 859 row 33 : new york | 1629 | atlantic ocean | mount marcy | 0 row 34 : north carolina | 2037 | atlantic ocean | mount mitchell | 0 row 35 : north dakota | 1069 | red river | white butte | 229 row 36 : ohio | 472 | ohio river | campbell hill | 132 row 37 : oklahoma | 1516 | little river | black mesa | 87 row 38 : oregon | 3424 | pacific ocean | mount hood | 0 row 39 : pennsylvania | 979 | delaware river | mount davis | 0 row 40 : rhode island | 247 | atlantic ocean | jerimoth hill | 0 row 41 : south carolina | 1085 | atlantic ocean | sassafras mountain | 0 row 42 : south dakota | 2207 | big stone lake | harney peak | 284 row 43 : tennessee | 2025 | mississippi river | clingmans dome | 55 row 44 : texas | 2667 | gulf of mexico | guadalupe peak | 0 row 45 : utah | 4123 | beaver dam creek | kings peak | 610 row 46 : vermont | 1339 | lake champlain | mount mansfield | 29 row 47 : virginia | 1746 | atlantic ocean | mount rogers | 0 row 48 : washington | 4392 | pacific ocean | mount rainier | 0 row 49 : west virginia | 1482 | potomac river | spruce knob | 73 row 50 : wisconsin | 595 | lake michigan | timms hill | 177 row 51 : wyoming | 4202 | belle fourche river | gannett peak | 945
col : lowest_point row 1 : arkansas river
SELECT city.population FROM city WHERE city.city_name='austin';
how many people live in austin
{"columns":["population"],"index":[0],"data":[[345496]]}
[ "city" ]
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how many people live in austin <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : population row 1 : 345496
SELECT city.city_name FROM city WHERE city.state_name='alaska' AND city.population=(SELECT min(city.population) FROM city WHERE city.state_name='alaska');
what is the smallest city in alaska
{"columns":["city_name"],"index":[0],"data":[["anchorage"]]}
[ "city" ]
[ 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what is the smallest city in alaska <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : city_name row 1 : anchorage
SELECT state.population FROM state WHERE state.state_name IN(SELECT river.traverse FROM river WHERE river.river_name='mississippi');
what are the populations of states through which the mississippi run
{"columns":["population"],"index":[0,1,2,3,4,5,6,7,8,9],"data":[[2286000],[11400000],[2913000],[2364000],[4206000],[4076000],[2520000],[4916000],[4591000],[4700000]]}
[ "river", "state" ]
[ "{\"columns\":[\"river_name\",\"length\",\"country_name\",\"traverse\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148],\"data\":[[\"mississippi\",3778,\"usa\",\"minnesota\"],[\"mississippi\",3778,\"usa\",\"wisconsin\"],[\"mississippi\",3778,\"usa\",\"iowa\"],[\"mississippi\",3778,\"usa\",\"illinois\"],[\"mississippi\",3778,\"usa\",\"missouri\"],[\"mississippi\",3778,\"usa\",\"kentucky\"],[\"mississippi\",3778,\"usa\",\"tennessee\"],[\"mississippi\",3778,\"usa\",\"arkansas\"],[\"mississippi\",3778,\"usa\",\"mississippi\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"missouri\",3968,\"usa\",\"montana\"],[\"missouri\",3968,\"usa\",\"north dakota\"],[\"missouri\",3968,\"usa\",\"south dakota\"],[\"missouri\",3968,\"usa\",\"iowa\"],[\"missouri\",3968,\"usa\",\"nebraska\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"colorado\",2333,\"usa\",\"colorado\"],[\"colorado\",2333,\"usa\",\"utah\"],[\"colorado\",2333,\"usa\",\"arizona\"],[\"colorado\",2333,\"usa\",\"nevada\"],[\"colorado\",2333,\"usa\",\"california\"],[\"ohio\",1569,\"usa\",\"pennsylvania\"],[\"ohio\",1569,\"usa\",\"west virginia\"],[\"ohio\",1569,\"usa\",\"kentucky\"],[\"ohio\",1569,\"usa\",\"indiana\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"ohio\"],[\"red\",1638,\"usa\",\"new mexico\"],[\"red\",1638,\"usa\",\"texas\"],[\"red\",1638,\"usa\",\"oklahoma\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"louisiana\"],[\"arkansas\",2333,\"usa\",\"colorado\"],[\"arkansas\",2333,\"usa\",\"kansas\"],[\"arkansas\",2333,\"usa\",\"oklahoma\"],[\"arkansas\",2333,\"usa\",\"arkansas\"],[\"canadian\",1458,\"usa\",\"colorado\"],[\"canadian\",1458,\"usa\",\"new mexico\"],[\"canadian\",1458,\"usa\",\"texas\"],[\"canadian\",1458,\"usa\",\"oklahoma\"],[\"connecticut\",655,\"usa\",\"new hampshire\"],[\"connecticut\",655,\"usa\",\"vermont\"],[\"connecticut\",655,\"usa\",\"massachusetts\"],[\"connecticut\",655,\"usa\",\"connecticut\"],[\"delaware\",451,\"usa\",\"new york\"],[\"delaware\",451,\"usa\",\"pennsylvania\"],[\"delaware\",451,\"usa\",\"new jersey\"],[\"delaware\",451,\"usa\",\"delaware\"],[\"little missouri\",901,\"usa\",\"wyoming\"],[\"little missouri\",901,\"usa\",\"montana\"],[\"little missouri\",901,\"usa\",\"south dakota\"],[\"little missouri\",901,\"usa\",\"north dakota\"],[\"snake\",1670,\"usa\",\"wyoming\"],[\"snake\",1670,\"usa\",\"idaho\"],[\"snake\",1670,\"usa\",\"oregon\"],[\"snake\",1670,\"usa\",\"washington\"],[\"snake\",1670,\"usa\",\"washington\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"florida\"],[\"cimarron\",965,\"usa\",\"new mexico\"],[\"cimarron\",965,\"usa\",\"kansas\"],[\"cimarron\",965,\"usa\",\"oklahoma\"],[\"green\",1175,\"usa\",\"wyoming\"],[\"green\",1175,\"usa\",\"utah\"],[\"green\",1175,\"usa\",\"colorado\"],[\"green\",1175,\"usa\",\"utah\"],[\"north platte\",1094,\"usa\",\"colorado\"],[\"north platte\",1094,\"usa\",\"wyoming\"],[\"north platte\",1094,\"usa\",\"nebraska\"],[\"potomac\",462,\"usa\",\"west virginia\"],[\"potomac\",462,\"usa\",\"maryland\"],[\"potomac\",462,\"usa\",\"virginia\"],[\"potomac\",462,\"usa\",\"district of columbia\"],[\"republican\",679,\"usa\",\"colorado\"],[\"republican\",679,\"usa\",\"nebraska\"],[\"republican\",679,\"usa\",\"kansas\"],[\"rio grande\",3033,\"usa\",\"colorado\"],[\"rio grande\",3033,\"usa\",\"new mexico\"],[\"rio grande\",3033,\"usa\",\"texas\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"new mexico\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"utah\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"alabama\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"kentucky\"],[\"wabash\",764,\"usa\",\"ohio\"],[\"wabash\",764,\"usa\",\"indiana\"],[\"wabash\",764,\"usa\",\"illinois\"],[\"yellowstone\",1080,\"usa\",\"wyoming\"],[\"yellowstone\",1080,\"usa\",\"montana\"],[\"yellowstone\",1080,\"usa\",\"north dakota\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"allegheny\",523,\"usa\",\"new york\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"bighorn\",541,\"usa\",\"wyoming\"],[\"bighorn\",541,\"usa\",\"montana\"],[\"cheyenne\",848,\"usa\",\"wyoming\"],[\"cheyenne\",848,\"usa\",\"north dakota\"],[\"clark fork\",483,\"usa\",\"montana\"],[\"clark fork\",483,\"usa\",\"idaho\"],[\"columbia\",1953,\"usa\",\"washington\"],[\"columbia\",1953,\"usa\",\"oregon\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"cumberland\",1105,\"usa\",\"tennessee\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"dakota\",1142,\"usa\",\"north dakota\"],[\"dakota\",1142,\"usa\",\"south dakota\"],[\"gila\",805,\"usa\",\"new mexico\"],[\"gila\",805,\"usa\",\"arizona\"],[\"hudson\",492,\"usa\",\"new york\"],[\"hudson\",492,\"usa\",\"new jersey\"],[\"neosho\",740,\"usa\",\"kansas\"],[\"neosho\",740,\"usa\",\"oklahoma\"],[\"niobrara\",693,\"usa\",\"wyoming\"],[\"niobrara\",693,\"usa\",\"nebraska\"],[\"ouachita\",973,\"usa\",\"arkansas\"],[\"ouachita\",973,\"usa\",\"louisiana\"],[\"pearl\",788,\"usa\",\"michigan\"],[\"pearl\",788,\"usa\",\"louisiana\"],[\"pecos\",805,\"usa\",\"new mexico\"],[\"pecos\",805,\"usa\",\"texas\"],[\"powder\",603,\"usa\",\"wyoming\"],[\"powder\",603,\"usa\",\"montana\"],[\"roanoke\",660,\"usa\",\"virginia\"],[\"roanoke\",660,\"usa\",\"north carolina\"],[\"rock\",459,\"usa\",\"wisconsin\"],[\"rock\",459,\"usa\",\"illinois\"],[\"smoky hill\",869,\"usa\",\"colorado\"],[\"smoky hill\",869,\"usa\",\"kansas\"],[\"south platte\",682,\"usa\",\"colorado\"],[\"south platte\",682,\"usa\",\"nebraska\"],[\"st. francis\",684,\"usa\",\"missouri\"],[\"st. francis\",684,\"usa\",\"arkansas\"],[\"tombigbee\",658,\"usa\",\"mississippi\"],[\"tombigbee\",658,\"usa\",\"alabama\"],[\"washita\",805,\"usa\",\"texas\"],[\"washita\",805,\"usa\",\"oklahoma\"],[\"wateree catawba\",636,\"usa\",\"north carolina\"],[\"wateree catawba\",636,\"usa\",\"south carolina\"],[\"white\",1110,\"usa\",\"arkansas\"],[\"white\",1110,\"usa\",\"missouri\"],[\"white\",1110,\"usa\",\"arkansas\"]]}", "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what are the populations of states through which the mississippi run <table_name> : river col : river_name | length | country_name | traverse row 1 : mississippi | 3778 | usa | minnesota row 2 : mississippi | 3778 | usa | wisconsin row 3 : mississippi | 3778 | usa | iowa row 4 : mississippi | 3778 | usa | illinois row 5 : mississippi | 3778 | usa | missouri row 6 : mississippi | 3778 | usa | kentucky row 7 : mississippi | 3778 | usa | tennessee row 8 : mississippi | 3778 | usa | arkansas row 9 : mississippi | 3778 | usa | mississippi row 10 : mississippi | 3778 | usa | louisiana row 11 : mississippi | 3778 | usa | louisiana row 12 : missouri | 3968 | usa | montana row 13 : missouri | 3968 | usa | north dakota row 14 : missouri | 3968 | usa | south dakota row 15 : missouri | 3968 | usa | iowa row 16 : missouri | 3968 | usa | nebraska row 17 : missouri | 3968 | usa | missouri row 18 : missouri | 3968 | usa | missouri row 19 : colorado | 2333 | usa | colorado row 20 : colorado | 2333 | usa | utah row 21 : colorado | 2333 | usa | arizona row 22 : colorado | 2333 | usa | nevada row 23 : colorado | 2333 | usa | california row 24 : ohio | 1569 | usa | pennsylvania row 25 : ohio | 1569 | usa | west virginia row 26 : ohio | 1569 | usa | kentucky row 27 : ohio | 1569 | usa | indiana row 28 : ohio | 1569 | usa | illinois row 29 : ohio | 1569 | usa | illinois row 30 : ohio | 1569 | usa | ohio row 31 : red | 1638 | usa | new mexico row 32 : red | 1638 | usa | texas row 33 : red | 1638 | usa | oklahoma row 34 : red | 1638 | usa | arkansas row 35 : red | 1638 | usa | arkansas row 36 : red | 1638 | usa | louisiana row 37 : arkansas | 2333 | usa | colorado row 38 : arkansas | 2333 | usa | kansas row 39 : arkansas | 2333 | usa | oklahoma row 40 : arkansas | 2333 | usa | arkansas row 41 : canadian | 1458 | usa | colorado row 42 : canadian | 1458 | usa | new mexico row 43 : canadian | 1458 | usa | texas row 44 : canadian | 1458 | usa | oklahoma row 45 : connecticut | 655 | usa | new hampshire row 46 : connecticut | 655 | usa | vermont row 47 : connecticut | 655 | usa | massachusetts row 48 : connecticut | 655 | usa | connecticut row 49 : delaware | 451 | usa | new york row 50 : delaware | 451 | usa | pennsylvania row 51 : delaware | 451 | usa | new jersey row 52 : delaware | 451 | usa | delaware row 53 : little missouri | 901 | usa | wyoming row 54 : little missouri | 901 | usa | montana row 55 : little missouri | 901 | usa | south dakota row 56 : little missouri | 901 | usa | north dakota row 57 : snake | 1670 | usa | wyoming row 58 : snake | 1670 | usa | idaho row 59 : snake | 1670 | usa | oregon row 60 : snake | 1670 | usa | washington row 61 : snake | 1670 | usa | washington row 62 : chattahoochee | 702 | usa | georgia row 63 : chattahoochee | 702 | usa | georgia row 64 : chattahoochee | 702 | usa | florida row 65 : cimarron | 965 | usa | new mexico row 66 : cimarron | 965 | usa | kansas row 67 : cimarron | 965 | usa | oklahoma row 68 : green | 1175 | usa | wyoming row 69 : green | 1175 | usa | utah row 70 : green | 1175 | usa | colorado row 71 : green | 1175 | usa | utah row 72 : north platte | 1094 | usa | colorado row 73 : north platte | 1094 | usa | wyoming row 74 : north platte | 1094 | usa | nebraska row 75 : potomac | 462 | usa | west virginia row 76 : potomac | 462 | usa | maryland row 77 : potomac | 462 | usa | virginia row 78 : potomac | 462 | usa | district of columbia row 79 : republican | 679 | usa | colorado row 80 : republican | 679 | usa | nebraska row 81 : republican | 679 | usa | kansas row 82 : rio grande | 3033 | usa | colorado row 83 : rio grande | 3033 | usa | new mexico row 84 : rio grande | 3033 | usa | texas row 85 : san juan | 579 | usa | colorado row 86 : san juan | 579 | usa | new mexico row 87 : san juan | 579 | usa | colorado row 88 : san juan | 579 | usa | utah row 89 : tennessee | 1049 | usa | tennessee row 90 : tennessee | 1049 | usa | alabama row 91 : tennessee | 1049 | usa | tennessee row 92 : tennessee | 1049 | usa | kentucky row 93 : wabash | 764 | usa | ohio row 94 : wabash | 764 | usa | indiana row 95 : wabash | 764 | usa | illinois row 96 : yellowstone | 1080 | usa | wyoming row 97 : yellowstone | 1080 | usa | montana row 98 : yellowstone | 1080 | usa | north dakota row 99 : allegheny | 523 | usa | pennsylvania row 100 : allegheny | 523 | usa | new york row 101 : allegheny | 523 | usa | pennsylvania row 102 : bighorn | 541 | usa | wyoming row 103 : bighorn | 541 | usa | montana row 104 : cheyenne | 848 | usa | wyoming row 105 : cheyenne | 848 | usa | north dakota row 106 : clark fork | 483 | usa | montana row 107 : clark fork | 483 | usa | idaho row 108 : columbia | 1953 | usa | washington row 109 : columbia | 1953 | usa | oregon row 110 : cumberland | 1105 | usa | kentucky row 111 : cumberland | 1105 | usa | tennessee row 112 : cumberland | 1105 | usa | kentucky row 113 : dakota | 1142 | usa | north dakota row 114 : dakota | 1142 | usa | south dakota row 115 : gila | 805 | usa | new mexico row 116 : gila | 805 | usa | arizona row 117 : hudson | 492 | usa | new york row 118 : hudson | 492 | usa | new jersey row 119 : neosho | 740 | usa | kansas row 120 : neosho | 740 | usa | oklahoma row 121 : niobrara | 693 | usa | wyoming row 122 : niobrara | 693 | usa | nebraska row 123 : ouachita | 973 | usa | arkansas row 124 : ouachita | 973 | usa | louisiana row 125 : pearl | 788 | usa | michigan row 126 : pearl | 788 | usa | louisiana row 127 : pecos | 805 | usa | new mexico row 128 : pecos | 805 | usa | texas row 129 : powder | 603 | usa | wyoming row 130 : powder | 603 | usa | montana row 131 : roanoke | 660 | usa | virginia row 132 : roanoke | 660 | usa | north carolina row 133 : rock | 459 | usa | wisconsin row 134 : rock | 459 | usa | illinois row 135 : smoky hill | 869 | usa | colorado row 136 : smoky hill | 869 | usa | kansas row 137 : south platte | 682 | usa | colorado row 138 : south platte | 682 | usa | nebraska row 139 : st. francis | 684 | usa | missouri row 140 : st. francis | 684 | usa | arkansas row 141 : tombigbee | 658 | usa | mississippi row 142 : tombigbee | 658 | usa | alabama row 143 : washita | 805 | usa | texas row 144 : washita | 805 | usa | oklahoma row 145 : wateree catawba | 636 | usa | north carolina row 146 : wateree catawba | 636 | usa | south carolina row 147 : white | 1110 | usa | arkansas row 148 : white | 1110 | usa | missouri row 149 : white | 1110 | usa | arkansas <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : population row 1 : 2286000 row 2 : 11400000 row 3 : 2913000 row 4 : 2364000 row 5 : 4206000 row 6 : 4076000 row 7 : 2520000 row 8 : 4916000 row 9 : 4591000 row 10 : 4700000
SELECT border_info.border FROM border_info WHERE border_info.state_name='wisconsin';
what states border wisconsin
{"columns":["border"],"index":[0,1,2,3],"data":[["michigan"],["illinois"],["iowa"],["minnesota"]]}
[ "border_info" ]
[ "{\"columns\":[\"state_name\",\"border\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217],\"data\":[[\"alabama\",\"tennessee\"],[\"alabama\",\"georgia\"],[\"alabama\",\"florida\"],[\"alabama\",\"mississippi\"],[\"arizona\",\"utah\"],[\"arizona\",\"colorado\"],[\"arizona\",\"new 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virginia\"],[\"kentucky\",\"virginia\"],[\"kentucky\",\"tennessee\"],[\"kentucky\",\"missouri\"],[\"kentucky\",\"illinois\"],[\"louisiana\",\"arkansas\"],[\"louisiana\",\"mississippi\"],[\"louisiana\",\"texas\"],[\"maine\",\"new hampshire\"],[\"maryland\",\"pennsylvania\"],[\"maryland\",\"delaware\"],[\"maryland\",\"virginia\"],[\"maryland\",\"district of columbia\"],[\"maryland\",\"west virginia\"],[\"massachusetts\",\"new hampshire\"],[\"massachusetts\",\"rhode island\"],[\"massachusetts\",\"connecticut\"],[\"massachusetts\",\"new york\"],[\"massachusetts\",\"vermont\"],[\"michigan\",\"ohio\"],[\"michigan\",\"indiana\"],[\"michigan\",\"wisconsin\"],[\"minnesota\",\"wisconsin\"],[\"minnesota\",\"iowa\"],[\"minnesota\",\"south dakota\"],[\"minnesota\",\"north dakota\"],[\"mississippi\",\"tennessee\"],[\"mississippi\",\"alabama\"],[\"mississippi\",\"louisiana\"],[\"mississippi\",\"arkansas\"],[\"missouri\",\"iowa\"],[\"missouri\",\"illinois\"],[\"missouri\",\"kentucky\"],[\"missouri\",\"tennessee\"],[\"missouri\",\"arkansas\"],[\"missouri\",\"oklahoma\"],[\"missouri\",\"kansas\"],[\"missouri\",\"nebraska\"],[\"montana\",\"north dakota\"],[\"montana\",\"south dakota\"],[\"montana\",\"wyoming\"],[\"montana\",\"idaho\"],[\"nebraska\",\"south dakota\"],[\"nebraska\",\"iowa\"],[\"nebraska\",\"missouri\"],[\"nebraska\",\"kansas\"],[\"nebraska\",\"colorado\"],[\"nebraska\",\"wyoming\"],[\"nevada\",\"idaho\"],[\"nevada\",\"utah\"],[\"nevada\",\"arizona\"],[\"nevada\",\"california\"],[\"nevada\",\"oregon\"],[\"new hampshire\",\"maine\"],[\"new hampshire\",\"massachusetts\"],[\"new hampshire\",\"vermont\"],[\"new jersey\",\"new york\"],[\"new jersey\",\"delaware\"],[\"new jersey\",\"pennsylvania\"],[\"new mexico\",\"colorado\"],[\"new mexico\",\"oklahoma\"],[\"new mexico\",\"texas\"],[\"new mexico\",\"arizona\"],[\"new mexico\",\"utah\"],[\"new york\",\"vermont\"],[\"new york\",\"massachusetts\"],[\"new york\",\"connecticut\"],[\"new york\",\"new jersey\"],[\"new york\",\"pennsylvania\"],[\"north carolina\",\"virginia\"],[\"north carolina\",\"south carolina\"],[\"north carolina\",\"georgia\"],[\"north carolina\",\"tennessee\"],[\"north dakota\",\"minnesota\"],[\"north dakota\",\"south dakota\"],[\"north dakota\",\"montana\"],[\"ohio\",\"michigan\"],[\"ohio\",\"pennsylvania\"],[\"ohio\",\"west virginia\"],[\"ohio\",\"kentucky\"],[\"ohio\",\"indiana\"],[\"oklahoma\",\"kansas\"],[\"oklahoma\",\"missouri\"],[\"oklahoma\",\"arkansas\"],[\"oklahoma\",\"texas\"],[\"oklahoma\",\"new mexico\"],[\"oklahoma\",\"colorado\"],[\"oregon\",\"washington\"],[\"oregon\",\"idaho\"],[\"oregon\",\"nevada\"],[\"oregon\",\"california\"],[\"pennsylvania\",\"new york\"],[\"pennsylvania\",\"new jersey\"],[\"pennsylvania\",\"delaware\"],[\"pennsylvania\",\"maryland\"],[\"pennsylvania\",\"west virginia\"],[\"pennsylvania\",\"ohio\"],[\"rhode island\",\"massachusetts\"],[\"rhode island\",\"connecticut\"],[\"south carolina\",\"north carolina\"],[\"south carolina\",\"georgia\"],[\"south dakota\",\"north dakota\"],[\"south dakota\",\"minnesota\"],[\"south dakota\",\"iowa\"],[\"south dakota\",\"nebraska\"],[\"south dakota\",\"wyoming\"],[\"south dakota\",\"montana\"],[\"tennessee\",\"kentucky\"],[\"tennessee\",\"virginia\"],[\"tennessee\",\"north carolina\"],[\"tennessee\",\"georgia\"],[\"tennessee\",\"alabama\"],[\"tennessee\",\"mississippi\"],[\"tennessee\",\"arkansas\"],[\"tennessee\",\"missouri\"],[\"texas\",\"oklahoma\"],[\"texas\",\"arkansas\"],[\"texas\",\"louisiana\"],[\"texas\",\"new mexico\"],[\"utah\",\"wyoming\"],[\"utah\",\"colorado\"],[\"utah\",\"new mexico\"],[\"utah\",\"arizona\"],[\"utah\",\"nevada\"],[\"utah\",\"idaho\"],[\"vermont\",\"new hampshire\"],[\"vermont\",\"massachusetts\"],[\"vermont\",\"new york\"],[\"virginia\",\"maryland\"],[\"virginia\",\"district of columbia\"],[\"virginia\",\"north carolina\"],[\"virginia\",\"tennessee\"],[\"virginia\",\"kentucky\"],[\"virginia\",\"west virginia\"],[\"washington\",\"idaho\"],[\"washington\",\"oregon\"],[\"west virginia\",\"pennsylvania\"],[\"west virginia\",\"maryland\"],[\"west virginia\",\"virginia\"],[\"west virginia\",\"kentucky\"],[\"west virginia\",\"ohio\"],[\"wisconsin\",\"michigan\"],[\"wisconsin\",\"illinois\"],[\"wisconsin\",\"iowa\"],[\"wisconsin\",\"minnesota\"],[\"wyoming\",\"montana\"],[\"wyoming\",\"south dakota\"],[\"wyoming\",\"nebraska\"],[\"wyoming\",\"colorado\"],[\"wyoming\",\"utah\"],[\"wyoming\",\"idaho\"]]}" ]
what states border wisconsin <table_name> : border_info col : state_name | border row 1 : alabama | tennessee row 2 : alabama | georgia row 3 : alabama | florida row 4 : alabama | mississippi row 5 : arizona | utah row 6 : arizona | colorado row 7 : arizona | new mexico row 8 : arizona | california row 9 : arizona | nevada row 10 : arkansas | missouri row 11 : arkansas | tennessee row 12 : arkansas | mississippi row 13 : arkansas | louisiana row 14 : arkansas | texas row 15 : arkansas | oklahoma row 16 : california | oregon row 17 : california | nevada row 18 : california | arizona row 19 : colorado | nebraska row 20 : colorado | kansas row 21 : colorado | oklahoma row 22 : colorado | new mexico row 23 : colorado | arizona row 24 : colorado | utah row 25 : colorado | wyoming row 26 : connecticut | massachusetts row 27 : connecticut | rhode island row 28 : connecticut | new york row 29 : delaware | pennsylvania row 30 : delaware | new jersey row 31 : delaware | maryland row 32 : district of columbia | maryland row 33 : district of columbia | virginia row 34 : florida | georgia row 35 : florida | alabama row 36 : georgia | north carolina row 37 : georgia | south carolina row 38 : georgia | florida row 39 : georgia | alabama row 40 : georgia | tennessee row 41 : idaho | montana row 42 : idaho | wyoming row 43 : idaho | utah row 44 : idaho | nevada row 45 : idaho | oregon row 46 : idaho | washington row 47 : illinois | wisconsin row 48 : illinois | indiana row 49 : illinois | kentucky row 50 : illinois | missouri row 51 : illinois | iowa row 52 : indiana | michigan row 53 : indiana | ohio row 54 : indiana | kentucky row 55 : indiana | illinois row 56 : iowa | minnesota row 57 : iowa | wisconsin row 58 : iowa | illinois row 59 : iowa | missouri row 60 : iowa | nebraska row 61 : iowa | south dakota row 62 : kansas | nebraska row 63 : kansas | missouri row 64 : kansas | oklahoma row 65 : kansas | colorado row 66 : kentucky | indiana row 67 : kentucky | ohio row 68 : kentucky | west virginia row 69 : kentucky | virginia row 70 : kentucky | tennessee row 71 : kentucky | missouri row 72 : kentucky | illinois row 73 : louisiana | arkansas row 74 : louisiana | mississippi row 75 : louisiana | texas row 76 : maine | new hampshire row 77 : maryland | pennsylvania row 78 : maryland | delaware row 79 : maryland | virginia row 80 : maryland | district of columbia row 81 : maryland | west virginia row 82 : massachusetts | new hampshire row 83 : massachusetts | rhode island row 84 : massachusetts | connecticut row 85 : massachusetts | new york row 86 : massachusetts | vermont row 87 : michigan | ohio row 88 : michigan | indiana row 89 : michigan | wisconsin row 90 : minnesota | wisconsin row 91 : minnesota | iowa row 92 : minnesota | south dakota row 93 : minnesota | north dakota row 94 : mississippi | tennessee row 95 : mississippi | alabama row 96 : mississippi | louisiana row 97 : mississippi | arkansas row 98 : missouri | iowa row 99 : missouri | illinois row 100 : missouri | kentucky row 101 : missouri | tennessee row 102 : missouri | arkansas row 103 : missouri | oklahoma row 104 : missouri | kansas row 105 : missouri | nebraska row 106 : montana | north dakota row 107 : montana | south dakota row 108 : montana | wyoming row 109 : montana | idaho row 110 : nebraska | south dakota row 111 : nebraska | iowa row 112 : nebraska | missouri row 113 : nebraska | kansas row 114 : nebraska | colorado row 115 : nebraska | wyoming row 116 : nevada | idaho row 117 : nevada | utah row 118 : nevada | arizona row 119 : nevada | california row 120 : nevada | oregon row 121 : new hampshire | maine row 122 : new hampshire | massachusetts row 123 : new hampshire | vermont row 124 : new jersey | new york row 125 : new jersey | delaware row 126 : new jersey | pennsylvania row 127 : new mexico | colorado row 128 : new mexico | oklahoma row 129 : new mexico | texas row 130 : new mexico | arizona row 131 : new mexico | utah row 132 : new york | vermont row 133 : new york | massachusetts row 134 : new york | connecticut row 135 : new york | new jersey row 136 : new york | pennsylvania row 137 : north carolina | virginia row 138 : north carolina | south carolina row 139 : north carolina | georgia row 140 : north carolina | tennessee row 141 : north dakota | minnesota row 142 : north dakota | south dakota row 143 : north dakota | montana row 144 : ohio | michigan row 145 : ohio | pennsylvania row 146 : ohio | west virginia row 147 : ohio | kentucky row 148 : ohio | indiana row 149 : oklahoma | kansas row 150 : oklahoma | missouri row 151 : oklahoma | arkansas row 152 : oklahoma | texas row 153 : oklahoma | new mexico row 154 : oklahoma | colorado row 155 : oregon | washington row 156 : oregon | idaho row 157 : oregon | nevada row 158 : oregon | california row 159 : pennsylvania | new york row 160 : pennsylvania | new jersey row 161 : pennsylvania | delaware row 162 : pennsylvania | maryland row 163 : pennsylvania | west virginia row 164 : pennsylvania | ohio row 165 : rhode island | massachusetts row 166 : rhode island | connecticut row 167 : south carolina | north carolina row 168 : south carolina | georgia row 169 : south dakota | north dakota row 170 : south dakota | minnesota row 171 : south dakota | iowa row 172 : south dakota | nebraska row 173 : south dakota | wyoming row 174 : south dakota | montana row 175 : tennessee | kentucky row 176 : tennessee | virginia row 177 : tennessee | north carolina row 178 : tennessee | georgia row 179 : tennessee | alabama row 180 : tennessee | mississippi row 181 : tennessee | arkansas row 182 : tennessee | missouri row 183 : texas | oklahoma row 184 : texas | arkansas row 185 : texas | louisiana row 186 : texas | new mexico row 187 : utah | wyoming row 188 : utah | colorado row 189 : utah | new mexico row 190 : utah | arizona row 191 : utah | nevada row 192 : utah | idaho row 193 : vermont | new hampshire row 194 : vermont | massachusetts row 195 : vermont | new york row 196 : virginia | maryland row 197 : virginia | district of columbia row 198 : virginia | north carolina row 199 : virginia | tennessee row 200 : virginia | kentucky row 201 : virginia | west virginia row 202 : washington | idaho row 203 : washington | oregon row 204 : west virginia | pennsylvania row 205 : west virginia | maryland row 206 : west virginia | virginia row 207 : west virginia | kentucky row 208 : west virginia | ohio row 209 : wisconsin | michigan row 210 : wisconsin | illinois row 211 : wisconsin | iowa row 212 : wisconsin | minnesota row 213 : wyoming | montana row 214 : wyoming | south dakota row 215 : wyoming | nebraska row 216 : wyoming | colorado row 217 : wyoming | utah row 218 : wyoming | idaho
col : border row 1 : michigan row 2 : illinois row 3 : iowa row 4 : minnesota
SELECT border_info.border FROM border_info WHERE border_info.state_name='arizona';
which states border arizona
{"columns":["border"],"index":[0,1,2,3,4],"data":[["utah"],["colorado"],["new mexico"],["california"],["nevada"]]}
[ "border_info" ]
[ "{\"columns\":[\"state_name\",\"border\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217],\"data\":[[\"alabama\",\"tennessee\"],[\"alabama\",\"georgia\"],[\"alabama\",\"florida\"],[\"alabama\",\"mississippi\"],[\"arizona\",\"utah\"],[\"arizona\",\"colorado\"],[\"arizona\",\"new mexico\"],[\"arizona\",\"california\"],[\"arizona\",\"nevada\"],[\"arkansas\",\"missouri\"],[\"arkansas\",\"tennessee\"],[\"arkansas\",\"mississippi\"],[\"arkansas\",\"louisiana\"],[\"arkansas\",\"texas\"],[\"arkansas\",\"oklahoma\"],[\"california\",\"oregon\"],[\"california\",\"nevada\"],[\"california\",\"arizona\"],[\"colorado\",\"nebraska\"],[\"colorado\",\"kansas\"],[\"colorado\",\"oklahoma\"],[\"colorado\",\"new mexico\"],[\"colorado\",\"arizona\"],[\"colorado\",\"utah\"],[\"colorado\",\"wyoming\"],[\"connecticut\",\"massachusetts\"],[\"connecticut\",\"rhode island\"],[\"connecticut\",\"new york\"],[\"delaware\",\"pennsylvania\"],[\"delaware\",\"new jersey\"],[\"delaware\",\"maryland\"],[\"district of columbia\",\"maryland\"],[\"district of columbia\",\"virginia\"],[\"florida\",\"georgia\"],[\"florida\",\"alabama\"],[\"georgia\",\"north carolina\"],[\"georgia\",\"south carolina\"],[\"georgia\",\"florida\"],[\"georgia\",\"alabama\"],[\"georgia\",\"tennessee\"],[\"idaho\",\"montana\"],[\"idaho\",\"wyoming\"],[\"idaho\",\"utah\"],[\"idaho\",\"nevada\"],[\"idaho\",\"oregon\"],[\"idaho\",\"washington\"],[\"illinois\",\"wisconsin\"],[\"illinois\",\"indiana\"],[\"illinois\",\"kentucky\"],[\"illinois\",\"missouri\"],[\"illinois\",\"iowa\"],[\"indiana\",\"michigan\"],[\"indiana\",\"ohio\"],[\"indiana\",\"kentucky\"],[\"indiana\",\"illinois\"],[\"iowa\",\"minnesota\"],[\"iowa\",\"wisconsin\"],[\"iowa\",\"illinois\"],[\"iowa\",\"missouri\"],[\"iowa\",\"nebraska\"],[\"iowa\",\"south dakota\"],[\"kansas\",\"nebraska\"],[\"kansas\",\"missouri\"],[\"kansas\",\"oklahoma\"],[\"kansas\",\"colorado\"],[\"kentucky\",\"indiana\"],[\"kentucky\",\"ohio\"],[\"kentucky\",\"west virginia\"],[\"kentucky\",\"virginia\"],[\"kentucky\",\"tennessee\"],[\"kentucky\",\"missouri\"],[\"kentucky\",\"illinois\"],[\"louisiana\",\"arkansas\"],[\"louisiana\",\"mississippi\"],[\"louisiana\",\"texas\"],[\"maine\",\"new hampshire\"],[\"maryland\",\"pennsylvania\"],[\"maryland\",\"delaware\"],[\"maryland\",\"virginia\"],[\"maryland\",\"district of columbia\"],[\"maryland\",\"west virginia\"],[\"massachusetts\",\"new hampshire\"],[\"massachusetts\",\"rhode island\"],[\"massachusetts\",\"connecticut\"],[\"massachusetts\",\"new york\"],[\"massachusetts\",\"vermont\"],[\"michigan\",\"ohio\"],[\"michigan\",\"indiana\"],[\"michigan\",\"wisconsin\"],[\"minnesota\",\"wisconsin\"],[\"minnesota\",\"iowa\"],[\"minnesota\",\"south dakota\"],[\"minnesota\",\"north dakota\"],[\"mississippi\",\"tennessee\"],[\"mississippi\",\"alabama\"],[\"mississippi\",\"louisiana\"],[\"mississippi\",\"arkansas\"],[\"missouri\",\"iowa\"],[\"missouri\",\"illinois\"],[\"missouri\",\"kentucky\"],[\"missouri\",\"tennessee\"],[\"missouri\",\"arkansas\"],[\"missouri\",\"oklahoma\"],[\"missouri\",\"kansas\"],[\"missouri\",\"nebraska\"],[\"montana\",\"north dakota\"],[\"montana\",\"south dakota\"],[\"montana\",\"wyoming\"],[\"montana\",\"idaho\"],[\"nebraska\",\"south dakota\"],[\"nebraska\",\"iowa\"],[\"nebraska\",\"missouri\"],[\"nebraska\",\"kansas\"],[\"nebraska\",\"colorado\"],[\"nebraska\",\"wyoming\"],[\"nevada\",\"idaho\"],[\"nevada\",\"utah\"],[\"nevada\",\"arizona\"],[\"nevada\",\"california\"],[\"nevada\",\"oregon\"],[\"new hampshire\",\"maine\"],[\"new hampshire\",\"massachusetts\"],[\"new hampshire\",\"vermont\"],[\"new jersey\",\"new york\"],[\"new jersey\",\"delaware\"],[\"new jersey\",\"pennsylvania\"],[\"new mexico\",\"colorado\"],[\"new mexico\",\"oklahoma\"],[\"new mexico\",\"texas\"],[\"new mexico\",\"arizona\"],[\"new mexico\",\"utah\"],[\"new york\",\"vermont\"],[\"new york\",\"massachusetts\"],[\"new york\",\"connecticut\"],[\"new york\",\"new jersey\"],[\"new york\",\"pennsylvania\"],[\"north carolina\",\"virginia\"],[\"north carolina\",\"south carolina\"],[\"north carolina\",\"georgia\"],[\"north carolina\",\"tennessee\"],[\"north dakota\",\"minnesota\"],[\"north dakota\",\"south dakota\"],[\"north dakota\",\"montana\"],[\"ohio\",\"michigan\"],[\"ohio\",\"pennsylvania\"],[\"ohio\",\"west virginia\"],[\"ohio\",\"kentucky\"],[\"ohio\",\"indiana\"],[\"oklahoma\",\"kansas\"],[\"oklahoma\",\"missouri\"],[\"oklahoma\",\"arkansas\"],[\"oklahoma\",\"texas\"],[\"oklahoma\",\"new mexico\"],[\"oklahoma\",\"colorado\"],[\"oregon\",\"washington\"],[\"oregon\",\"idaho\"],[\"oregon\",\"nevada\"],[\"oregon\",\"california\"],[\"pennsylvania\",\"new york\"],[\"pennsylvania\",\"new jersey\"],[\"pennsylvania\",\"delaware\"],[\"pennsylvania\",\"maryland\"],[\"pennsylvania\",\"west virginia\"],[\"pennsylvania\",\"ohio\"],[\"rhode island\",\"massachusetts\"],[\"rhode island\",\"connecticut\"],[\"south carolina\",\"north carolina\"],[\"south carolina\",\"georgia\"],[\"south dakota\",\"north dakota\"],[\"south dakota\",\"minnesota\"],[\"south dakota\",\"iowa\"],[\"south dakota\",\"nebraska\"],[\"south dakota\",\"wyoming\"],[\"south dakota\",\"montana\"],[\"tennessee\",\"kentucky\"],[\"tennessee\",\"virginia\"],[\"tennessee\",\"north carolina\"],[\"tennessee\",\"georgia\"],[\"tennessee\",\"alabama\"],[\"tennessee\",\"mississippi\"],[\"tennessee\",\"arkansas\"],[\"tennessee\",\"missouri\"],[\"texas\",\"oklahoma\"],[\"texas\",\"arkansas\"],[\"texas\",\"louisiana\"],[\"texas\",\"new mexico\"],[\"utah\",\"wyoming\"],[\"utah\",\"colorado\"],[\"utah\",\"new mexico\"],[\"utah\",\"arizona\"],[\"utah\",\"nevada\"],[\"utah\",\"idaho\"],[\"vermont\",\"new hampshire\"],[\"vermont\",\"massachusetts\"],[\"vermont\",\"new york\"],[\"virginia\",\"maryland\"],[\"virginia\",\"district of columbia\"],[\"virginia\",\"north carolina\"],[\"virginia\",\"tennessee\"],[\"virginia\",\"kentucky\"],[\"virginia\",\"west virginia\"],[\"washington\",\"idaho\"],[\"washington\",\"oregon\"],[\"west virginia\",\"pennsylvania\"],[\"west virginia\",\"maryland\"],[\"west virginia\",\"virginia\"],[\"west virginia\",\"kentucky\"],[\"west virginia\",\"ohio\"],[\"wisconsin\",\"michigan\"],[\"wisconsin\",\"illinois\"],[\"wisconsin\",\"iowa\"],[\"wisconsin\",\"minnesota\"],[\"wyoming\",\"montana\"],[\"wyoming\",\"south dakota\"],[\"wyoming\",\"nebraska\"],[\"wyoming\",\"colorado\"],[\"wyoming\",\"utah\"],[\"wyoming\",\"idaho\"]]}" ]
which states border arizona <table_name> : border_info col : state_name | border row 1 : alabama | tennessee row 2 : alabama | georgia row 3 : alabama | florida row 4 : alabama | mississippi row 5 : arizona | utah row 6 : arizona | colorado row 7 : arizona | new mexico row 8 : arizona | california row 9 : arizona | nevada row 10 : arkansas | missouri row 11 : arkansas | tennessee row 12 : arkansas | mississippi row 13 : arkansas | louisiana row 14 : arkansas | texas row 15 : arkansas | oklahoma row 16 : california | oregon row 17 : california | nevada row 18 : california | arizona row 19 : colorado | nebraska row 20 : colorado | kansas row 21 : colorado | oklahoma row 22 : colorado | new mexico row 23 : colorado | arizona row 24 : colorado | utah row 25 : colorado | wyoming row 26 : connecticut | massachusetts row 27 : connecticut | rhode island row 28 : connecticut | new york row 29 : delaware | pennsylvania row 30 : delaware | new jersey row 31 : delaware | maryland row 32 : district of columbia | maryland row 33 : district of columbia | virginia row 34 : florida | georgia row 35 : florida | alabama row 36 : georgia | north carolina row 37 : georgia | south carolina row 38 : georgia | florida row 39 : georgia | alabama row 40 : georgia | tennessee row 41 : idaho | montana row 42 : idaho | wyoming row 43 : idaho | utah row 44 : idaho | nevada row 45 : idaho | oregon row 46 : idaho | washington row 47 : illinois | wisconsin row 48 : illinois | indiana row 49 : illinois | kentucky row 50 : illinois | missouri row 51 : illinois | iowa row 52 : indiana | michigan row 53 : indiana | ohio row 54 : indiana | kentucky row 55 : indiana | illinois row 56 : iowa | minnesota row 57 : iowa | wisconsin row 58 : iowa | illinois row 59 : iowa | missouri row 60 : iowa | nebraska row 61 : iowa | south dakota row 62 : kansas | nebraska row 63 : kansas | missouri row 64 : kansas | oklahoma row 65 : kansas | colorado row 66 : kentucky | indiana row 67 : kentucky | ohio row 68 : kentucky | west virginia row 69 : kentucky | virginia row 70 : kentucky | tennessee row 71 : kentucky | missouri row 72 : kentucky | illinois row 73 : louisiana | arkansas row 74 : louisiana | mississippi row 75 : louisiana | texas row 76 : maine | new hampshire row 77 : maryland | pennsylvania row 78 : maryland | delaware row 79 : maryland | virginia row 80 : maryland | district of columbia row 81 : maryland | west virginia row 82 : massachusetts | new hampshire row 83 : massachusetts | rhode island row 84 : massachusetts | connecticut row 85 : massachusetts | new york row 86 : massachusetts | vermont row 87 : michigan | ohio row 88 : michigan | indiana row 89 : michigan | wisconsin row 90 : minnesota | wisconsin row 91 : minnesota | iowa row 92 : minnesota | south dakota row 93 : minnesota | north dakota row 94 : mississippi | tennessee row 95 : mississippi | alabama row 96 : mississippi | louisiana row 97 : mississippi | arkansas row 98 : missouri | iowa row 99 : missouri | illinois row 100 : missouri | kentucky row 101 : missouri | tennessee row 102 : missouri | arkansas row 103 : missouri | oklahoma row 104 : missouri | kansas row 105 : missouri | nebraska row 106 : montana | north dakota row 107 : montana | south dakota row 108 : montana | wyoming row 109 : montana | idaho row 110 : nebraska | south dakota row 111 : nebraska | iowa row 112 : nebraska | missouri row 113 : nebraska | kansas row 114 : nebraska | colorado row 115 : nebraska | wyoming row 116 : nevada | idaho row 117 : nevada | utah row 118 : nevada | arizona row 119 : nevada | california row 120 : nevada | oregon row 121 : new hampshire | maine row 122 : new hampshire | massachusetts row 123 : new hampshire | vermont row 124 : new jersey | new york row 125 : new jersey | delaware row 126 : new jersey | pennsylvania row 127 : new mexico | colorado row 128 : new mexico | oklahoma row 129 : new mexico | texas row 130 : new mexico | arizona row 131 : new mexico | utah row 132 : new york | vermont row 133 : new york | massachusetts row 134 : new york | connecticut row 135 : new york | new jersey row 136 : new york | pennsylvania row 137 : north carolina | virginia row 138 : north carolina | south carolina row 139 : north carolina | georgia row 140 : north carolina | tennessee row 141 : north dakota | minnesota row 142 : north dakota | south dakota row 143 : north dakota | montana row 144 : ohio | michigan row 145 : ohio | pennsylvania row 146 : ohio | west virginia row 147 : ohio | kentucky row 148 : ohio | indiana row 149 : oklahoma | kansas row 150 : oklahoma | missouri row 151 : oklahoma | arkansas row 152 : oklahoma | texas row 153 : oklahoma | new mexico row 154 : oklahoma | colorado row 155 : oregon | washington row 156 : oregon | idaho row 157 : oregon | nevada row 158 : oregon | california row 159 : pennsylvania | new york row 160 : pennsylvania | new jersey row 161 : pennsylvania | delaware row 162 : pennsylvania | maryland row 163 : pennsylvania | west virginia row 164 : pennsylvania | ohio row 165 : rhode island | massachusetts row 166 : rhode island | connecticut row 167 : south carolina | north carolina row 168 : south carolina | georgia row 169 : south dakota | north dakota row 170 : south dakota | minnesota row 171 : south dakota | iowa row 172 : south dakota | nebraska row 173 : south dakota | wyoming row 174 : south dakota | montana row 175 : tennessee | kentucky row 176 : tennessee | virginia row 177 : tennessee | north carolina row 178 : tennessee | georgia row 179 : tennessee | alabama row 180 : tennessee | mississippi row 181 : tennessee | arkansas row 182 : tennessee | missouri row 183 : texas | oklahoma row 184 : texas | arkansas row 185 : texas | louisiana row 186 : texas | new mexico row 187 : utah | wyoming row 188 : utah | colorado row 189 : utah | new mexico row 190 : utah | arizona row 191 : utah | nevada row 192 : utah | idaho row 193 : vermont | new hampshire row 194 : vermont | massachusetts row 195 : vermont | new york row 196 : virginia | maryland row 197 : virginia | district of columbia row 198 : virginia | north carolina row 199 : virginia | tennessee row 200 : virginia | kentucky row 201 : virginia | west virginia row 202 : washington | idaho row 203 : washington | oregon row 204 : west virginia | pennsylvania row 205 : west virginia | maryland row 206 : west virginia | virginia row 207 : west virginia | kentucky row 208 : west virginia | ohio row 209 : wisconsin | michigan row 210 : wisconsin | illinois row 211 : wisconsin | iowa row 212 : wisconsin | minnesota row 213 : wyoming | montana row 214 : wyoming | south dakota row 215 : wyoming | nebraska row 216 : wyoming | colorado row 217 : wyoming | utah row 218 : wyoming | idaho
col : border row 1 : utah row 2 : colorado row 3 : new mexico row 4 : california row 5 : nevada
SELECT city.city_name FROM city WHERE city.population=(SELECT max(city.population) FROM city,state WHERE city.city_name=state.capital);
what capital has the largest population
{"columns":["city_name"],"index":[0],"data":[["phoenix"]]}
[ "city" ]
[ 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island\"],[\"cranston\",71992,\"usa\",\"rhode island\"],[\"pawtucket\",71204,\"usa\",\"rhode island\"],[\"columbia\",101229,\"usa\",\"south carolina\"],[\"charleston\",69855,\"usa\",\"south carolina\"],[\"north charleston\",62504,\"usa\",\"south carolina\"],[\"greenville\",58242,\"usa\",\"south carolina\"],[\"sioux falls\",81343,\"usa\",\"south dakota\"],[\"memphis\",646356,\"usa\",\"tennessee\"],[\"nashville\",455651,\"usa\",\"tennessee\"],[\"knoxville\",175030,\"usa\",\"tennessee\"],[\"chattanooga\",169728,\"usa\",\"tennessee\"],[\"houston\",1595138,\"usa\",\"texas\"],[\"dallas\",904078,\"usa\",\"texas\"],[\"san antonio\",785880,\"usa\",\"texas\"],[\"el paso\",425259,\"usa\",\"texas\"],[\"fort worth\",385164,\"usa\",\"texas\"],[\"austin\",345496,\"usa\",\"texas\"],[\"corpus christi\",231999,\"usa\",\"texas\"],[\"lubbock\",173979,\"usa\",\"texas\"],[\"arlington\",160123,\"usa\",\"texas\"],[\"amarillo\",149230,\"usa\",\"texas\"],[\"garland\",138857,\"usa\",\"texas\"],[\"beaumont\",118102,\"usa\",\"texas\"],[\"pasadena\",112560,\"usa\",\"texas\"],[\"irving\",109943,\"usa\",\"texas\"],[\"waco\",101261,\"usa\",\"texas\"],[\"abilene\",98315,\"usa\",\"texas\"],[\"wichita falls\",94201,\"usa\",\"texas\"],[\"laredo\",91449,\"usa\",\"texas\"],[\"odessa\",90027,\"usa\",\"texas\"],[\"brownsville\",84997,\"usa\",\"texas\"],[\"san angelo\",73240,\"usa\",\"texas\"],[\"richardson\",72496,\"usa\",\"texas\"],[\"plano\",72331,\"usa\",\"texas\"],[\"grand prairie\",71462,\"usa\",\"texas\"],[\"midland\",70525,\"usa\",\"texas\"],[\"tyler\",70508,\"usa\",\"texas\"],[\"mesquite\",67053,\"usa\",\"texas\"],[\"mcallen\",67042,\"usa\",\"texas\"],[\"longview\",62762,\"usa\",\"texas\"],[\"port arthur\",61195,\"usa\",\"texas\"],[\"salt lake city\",163034,\"usa\",\"utah\"],[\"provo\",74111,\"usa\",\"utah\"],[\"west valley\",72299,\"usa\",\"utah\"],[\"ogden\",64407,\"usa\",\"utah\"],[\"norfolk\",266979,\"usa\",\"virginia\"],[\"virginia beach\",262199,\"usa\",\"virginia\"],[\"richmond\",219214,\"usa\",\"virginia\"],[\"arlington\",152599,\"usa\",\"virginia\"],[\"newport news\",144903,\"usa\",\"virginia\"],[\"hampton\",122617,\"usa\",\"virginia\"],[\"chesapeake\",114226,\"usa\",\"virginia\"],[\"portsmouth\",104577,\"usa\",\"virginia\"],[\"alexandria\",103217,\"usa\",\"virginia\"],[\"roanoke\",100427,\"usa\",\"virginia\"],[\"lynchburg\",66743,\"usa\",\"virginia\"],[\"seattle\",493846,\"usa\",\"washington\"],[\"spokane\",171300,\"usa\",\"washington\"],[\"tacoma\",158501,\"usa\",\"washington\"],[\"bellevue\",73903,\"usa\",\"washington\"],[\"charleston\",63968,\"usa\",\"west virginia\"],[\"huntington\",63684,\"usa\",\"west virginia\"],[\"milwaukee\",636212,\"usa\",\"wisconsin\"],[\"madison\",170616,\"usa\",\"wisconsin\"],[\"green bay\",87899,\"usa\",\"wisconsin\"],[\"racine\",85725,\"usa\",\"wisconsin\"],[\"kenosha\",77685,\"usa\",\"wisconsin\"],[\"west allis\",63982,\"usa\",\"wisconsin\"],[\"appleton\",58913,\"usa\",\"wisconsin\"],[\"casper\",51016,\"usa\",\"wyoming\"]]}" ]
what capital has the largest population <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : city_name row 1 : phoenix
SELECT state.population FROM state WHERE state.state_name IN(SELECT border_info.border FROM border_info WHERE border_info.state_name='wyoming') AND state.population=(SELECT max(state.population) FROM state WHERE state.state_name IN(SELECT border_info.border FROM border_info WHERE border_info.state_name='wyoming' ));
how many people live in the smallest state bordering wyoming
{"columns":["population"],"index":[0],"data":[[2889000]]}
[ "state", "border_info" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}", "{\"columns\":[\"state_name\",\"border\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217],\"data\":[[\"alabama\",\"tennessee\"],[\"alabama\",\"georgia\"],[\"alabama\",\"florida\"],[\"alabama\",\"mississippi\"],[\"arizona\",\"utah\"],[\"arizona\",\"colorado\"],[\"arizona\",\"new mexico\"],[\"arizona\",\"california\"],[\"arizona\",\"nevada\"],[\"arkansas\",\"missouri\"],[\"arkansas\",\"tennessee\"],[\"arkansas\",\"mississippi\"],[\"arkansas\",\"louisiana\"],[\"arkansas\",\"texas\"],[\"arkansas\",\"oklahoma\"],[\"california\",\"oregon\"],[\"california\",\"nevada\"],[\"california\",\"arizona\"],[\"colorado\",\"nebraska\"],[\"colorado\",\"kansas\"],[\"colorado\",\"oklahoma\"],[\"colorado\",\"new mexico\"],[\"colorado\",\"arizona\"],[\"colorado\",\"utah\"],[\"colorado\",\"wyoming\"],[\"connecticut\",\"massachusetts\"],[\"connecticut\",\"rhode island\"],[\"connecticut\",\"new york\"],[\"delaware\",\"pennsylvania\"],[\"delaware\",\"new jersey\"],[\"delaware\",\"maryland\"],[\"district of columbia\",\"maryland\"],[\"district of columbia\",\"virginia\"],[\"florida\",\"georgia\"],[\"florida\",\"alabama\"],[\"georgia\",\"north carolina\"],[\"georgia\",\"south carolina\"],[\"georgia\",\"florida\"],[\"georgia\",\"alabama\"],[\"georgia\",\"tennessee\"],[\"idaho\",\"montana\"],[\"idaho\",\"wyoming\"],[\"idaho\",\"utah\"],[\"idaho\",\"nevada\"],[\"idaho\",\"oregon\"],[\"idaho\",\"washington\"],[\"illinois\",\"wisconsin\"],[\"illinois\",\"indiana\"],[\"illinois\",\"kentucky\"],[\"illinois\",\"missouri\"],[\"illinois\",\"iowa\"],[\"indiana\",\"michigan\"],[\"indiana\",\"ohio\"],[\"indiana\",\"kentucky\"],[\"indiana\",\"illinois\"],[\"iowa\",\"minnesota\"],[\"iowa\",\"wisconsin\"],[\"iowa\",\"illinois\"],[\"iowa\",\"missouri\"],[\"iowa\",\"nebraska\"],[\"iowa\",\"south dakota\"],[\"kansas\",\"nebraska\"],[\"kansas\",\"missouri\"],[\"kansas\",\"oklahoma\"],[\"kansas\",\"colorado\"],[\"kentucky\",\"indiana\"],[\"kentucky\",\"ohio\"],[\"kentucky\",\"west virginia\"],[\"kentucky\",\"virginia\"],[\"kentucky\",\"tennessee\"],[\"kentucky\",\"missouri\"],[\"kentucky\",\"illinois\"],[\"louisiana\",\"arkansas\"],[\"louisiana\",\"mississippi\"],[\"louisiana\",\"texas\"],[\"maine\",\"new hampshire\"],[\"maryland\",\"pennsylvania\"],[\"maryland\",\"delaware\"],[\"maryland\",\"virginia\"],[\"maryland\",\"district of columbia\"],[\"maryland\",\"west virginia\"],[\"massachusetts\",\"new hampshire\"],[\"massachusetts\",\"rhode island\"],[\"massachusetts\",\"connecticut\"],[\"massachusetts\",\"new york\"],[\"massachusetts\",\"vermont\"],[\"michigan\",\"ohio\"],[\"michigan\",\"indiana\"],[\"michigan\",\"wisconsin\"],[\"minnesota\",\"wisconsin\"],[\"minnesota\",\"iowa\"],[\"minnesota\",\"south dakota\"],[\"minnesota\",\"north dakota\"],[\"mississippi\",\"tennessee\"],[\"mississippi\",\"alabama\"],[\"mississippi\",\"louisiana\"],[\"mississippi\",\"arkansas\"],[\"missouri\",\"iowa\"],[\"missouri\",\"illinois\"],[\"missouri\",\"kentucky\"],[\"missouri\",\"tennessee\"],[\"missouri\",\"arkansas\"],[\"missouri\",\"oklahoma\"],[\"missouri\",\"kansas\"],[\"missouri\",\"nebraska\"],[\"montana\",\"north dakota\"],[\"montana\",\"south dakota\"],[\"montana\",\"wyoming\"],[\"montana\",\"idaho\"],[\"nebraska\",\"south dakota\"],[\"nebraska\",\"iowa\"],[\"nebraska\",\"missouri\"],[\"nebraska\",\"kansas\"],[\"nebraska\",\"colorado\"],[\"nebraska\",\"wyoming\"],[\"nevada\",\"idaho\"],[\"nevada\",\"utah\"],[\"nevada\",\"arizona\"],[\"nevada\",\"california\"],[\"nevada\",\"oregon\"],[\"new hampshire\",\"maine\"],[\"new hampshire\",\"massachusetts\"],[\"new hampshire\",\"vermont\"],[\"new jersey\",\"new york\"],[\"new jersey\",\"delaware\"],[\"new jersey\",\"pennsylvania\"],[\"new mexico\",\"colorado\"],[\"new mexico\",\"oklahoma\"],[\"new mexico\",\"texas\"],[\"new mexico\",\"arizona\"],[\"new mexico\",\"utah\"],[\"new york\",\"vermont\"],[\"new york\",\"massachusetts\"],[\"new york\",\"connecticut\"],[\"new york\",\"new jersey\"],[\"new york\",\"pennsylvania\"],[\"north carolina\",\"virginia\"],[\"north carolina\",\"south carolina\"],[\"north carolina\",\"georgia\"],[\"north carolina\",\"tennessee\"],[\"north dakota\",\"minnesota\"],[\"north dakota\",\"south dakota\"],[\"north dakota\",\"montana\"],[\"ohio\",\"michigan\"],[\"ohio\",\"pennsylvania\"],[\"ohio\",\"west virginia\"],[\"ohio\",\"kentucky\"],[\"ohio\",\"indiana\"],[\"oklahoma\",\"kansas\"],[\"oklahoma\",\"missouri\"],[\"oklahoma\",\"arkansas\"],[\"oklahoma\",\"texas\"],[\"oklahoma\",\"new mexico\"],[\"oklahoma\",\"colorado\"],[\"oregon\",\"washington\"],[\"oregon\",\"idaho\"],[\"oregon\",\"nevada\"],[\"oregon\",\"california\"],[\"pennsylvania\",\"new york\"],[\"pennsylvania\",\"new jersey\"],[\"pennsylvania\",\"delaware\"],[\"pennsylvania\",\"maryland\"],[\"pennsylvania\",\"west virginia\"],[\"pennsylvania\",\"ohio\"],[\"rhode island\",\"massachusetts\"],[\"rhode island\",\"connecticut\"],[\"south carolina\",\"north carolina\"],[\"south carolina\",\"georgia\"],[\"south dakota\",\"north dakota\"],[\"south dakota\",\"minnesota\"],[\"south dakota\",\"iowa\"],[\"south dakota\",\"nebraska\"],[\"south dakota\",\"wyoming\"],[\"south dakota\",\"montana\"],[\"tennessee\",\"kentucky\"],[\"tennessee\",\"virginia\"],[\"tennessee\",\"north carolina\"],[\"tennessee\",\"georgia\"],[\"tennessee\",\"alabama\"],[\"tennessee\",\"mississippi\"],[\"tennessee\",\"arkansas\"],[\"tennessee\",\"missouri\"],[\"texas\",\"oklahoma\"],[\"texas\",\"arkansas\"],[\"texas\",\"louisiana\"],[\"texas\",\"new mexico\"],[\"utah\",\"wyoming\"],[\"utah\",\"colorado\"],[\"utah\",\"new mexico\"],[\"utah\",\"arizona\"],[\"utah\",\"nevada\"],[\"utah\",\"idaho\"],[\"vermont\",\"new hampshire\"],[\"vermont\",\"massachusetts\"],[\"vermont\",\"new york\"],[\"virginia\",\"maryland\"],[\"virginia\",\"district of columbia\"],[\"virginia\",\"north carolina\"],[\"virginia\",\"tennessee\"],[\"virginia\",\"kentucky\"],[\"virginia\",\"west virginia\"],[\"washington\",\"idaho\"],[\"washington\",\"oregon\"],[\"west virginia\",\"pennsylvania\"],[\"west virginia\",\"maryland\"],[\"west virginia\",\"virginia\"],[\"west virginia\",\"kentucky\"],[\"west virginia\",\"ohio\"],[\"wisconsin\",\"michigan\"],[\"wisconsin\",\"illinois\"],[\"wisconsin\",\"iowa\"],[\"wisconsin\",\"minnesota\"],[\"wyoming\",\"montana\"],[\"wyoming\",\"south dakota\"],[\"wyoming\",\"nebraska\"],[\"wyoming\",\"colorado\"],[\"wyoming\",\"utah\"],[\"wyoming\",\"idaho\"]]}" ]
how many people live in the smallest state bordering wyoming <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318 <table_name> : border_info col : state_name | border row 1 : alabama | tennessee row 2 : alabama | georgia row 3 : alabama | florida row 4 : alabama | mississippi row 5 : arizona | utah row 6 : arizona | colorado row 7 : arizona | new mexico row 8 : arizona | california row 9 : arizona | nevada row 10 : arkansas | missouri row 11 : arkansas | tennessee row 12 : arkansas | mississippi row 13 : arkansas | louisiana row 14 : arkansas | texas row 15 : arkansas | oklahoma row 16 : california | oregon row 17 : california | nevada row 18 : california | arizona row 19 : colorado | nebraska row 20 : colorado | kansas row 21 : colorado | oklahoma row 22 : colorado | new mexico row 23 : colorado | arizona row 24 : colorado | utah row 25 : colorado | wyoming row 26 : connecticut | massachusetts row 27 : connecticut | rhode island row 28 : connecticut | new york row 29 : delaware | pennsylvania row 30 : delaware | new jersey row 31 : delaware | maryland row 32 : district of columbia | maryland row 33 : district of columbia | virginia row 34 : florida | georgia row 35 : florida | alabama row 36 : georgia | north carolina row 37 : georgia | south carolina row 38 : georgia | florida row 39 : georgia | alabama row 40 : georgia | tennessee row 41 : idaho | montana row 42 : idaho | wyoming row 43 : idaho | utah row 44 : idaho | nevada row 45 : idaho | oregon row 46 : idaho | washington row 47 : illinois | wisconsin row 48 : illinois | indiana row 49 : illinois | kentucky row 50 : illinois | missouri row 51 : illinois | iowa row 52 : indiana | michigan row 53 : indiana | ohio row 54 : indiana | kentucky row 55 : indiana | illinois row 56 : iowa | minnesota row 57 : iowa | wisconsin row 58 : iowa | illinois row 59 : iowa | missouri row 60 : iowa | nebraska row 61 : iowa | south dakota row 62 : kansas | nebraska row 63 : kansas | missouri row 64 : kansas | oklahoma row 65 : kansas | colorado row 66 : kentucky | indiana row 67 : kentucky | ohio row 68 : kentucky | west virginia row 69 : kentucky | virginia row 70 : kentucky | tennessee row 71 : kentucky | missouri row 72 : kentucky | illinois row 73 : louisiana | arkansas row 74 : louisiana | mississippi row 75 : louisiana | texas row 76 : maine | new hampshire row 77 : maryland | pennsylvania row 78 : maryland | delaware row 79 : maryland | virginia row 80 : maryland | district of columbia row 81 : maryland | west virginia row 82 : massachusetts | new hampshire row 83 : massachusetts | rhode island row 84 : massachusetts | connecticut row 85 : massachusetts | new york row 86 : massachusetts | vermont row 87 : michigan | ohio row 88 : michigan | indiana row 89 : michigan | wisconsin row 90 : minnesota | wisconsin row 91 : minnesota | iowa row 92 : minnesota | south dakota row 93 : minnesota | north dakota row 94 : mississippi | tennessee row 95 : mississippi | alabama row 96 : mississippi | louisiana row 97 : mississippi | arkansas row 98 : missouri | iowa row 99 : missouri | illinois row 100 : missouri | kentucky row 101 : missouri | tennessee row 102 : missouri | arkansas row 103 : missouri | oklahoma row 104 : missouri | kansas row 105 : missouri | nebraska row 106 : montana | north dakota row 107 : montana | south dakota row 108 : montana | wyoming row 109 : montana | idaho row 110 : nebraska | south dakota row 111 : nebraska | iowa row 112 : nebraska | missouri row 113 : nebraska | kansas row 114 : nebraska | colorado row 115 : nebraska | wyoming row 116 : nevada | idaho row 117 : nevada | utah row 118 : nevada | arizona row 119 : nevada | california row 120 : nevada | oregon row 121 : new hampshire | maine row 122 : new hampshire | massachusetts row 123 : new hampshire | vermont row 124 : new jersey | new york row 125 : new jersey | delaware row 126 : new jersey | pennsylvania row 127 : new mexico | colorado row 128 : new mexico | oklahoma row 129 : new mexico | texas row 130 : new mexico | arizona row 131 : new mexico | utah row 132 : new york | vermont row 133 : new york | massachusetts row 134 : new york | connecticut row 135 : new york | new jersey row 136 : new york | pennsylvania row 137 : north carolina | virginia row 138 : north carolina | south carolina row 139 : north carolina | georgia row 140 : north carolina | tennessee row 141 : north dakota | minnesota row 142 : north dakota | south dakota row 143 : north dakota | montana row 144 : ohio | michigan row 145 : ohio | pennsylvania row 146 : ohio | west virginia row 147 : ohio | kentucky row 148 : ohio | indiana row 149 : oklahoma | kansas row 150 : oklahoma | missouri row 151 : oklahoma | arkansas row 152 : oklahoma | texas row 153 : oklahoma | new mexico row 154 : oklahoma | colorado row 155 : oregon | washington row 156 : oregon | idaho row 157 : oregon | nevada row 158 : oregon | california row 159 : pennsylvania | new york row 160 : pennsylvania | new jersey row 161 : pennsylvania | delaware row 162 : pennsylvania | maryland row 163 : pennsylvania | west virginia row 164 : pennsylvania | ohio row 165 : rhode island | massachusetts row 166 : rhode island | connecticut row 167 : south carolina | north carolina row 168 : south carolina | georgia row 169 : south dakota | north dakota row 170 : south dakota | minnesota row 171 : south dakota | iowa row 172 : south dakota | nebraska row 173 : south dakota | wyoming row 174 : south dakota | montana row 175 : tennessee | kentucky row 176 : tennessee | virginia row 177 : tennessee | north carolina row 178 : tennessee | georgia row 179 : tennessee | alabama row 180 : tennessee | mississippi row 181 : tennessee | arkansas row 182 : tennessee | missouri row 183 : texas | oklahoma row 184 : texas | arkansas row 185 : texas | louisiana row 186 : texas | new mexico row 187 : utah | wyoming row 188 : utah | colorado row 189 : utah | new mexico row 190 : utah | arizona row 191 : utah | nevada row 192 : utah | idaho row 193 : vermont | new hampshire row 194 : vermont | massachusetts row 195 : vermont | new york row 196 : virginia | maryland row 197 : virginia | district of columbia row 198 : virginia | north carolina row 199 : virginia | tennessee row 200 : virginia | kentucky row 201 : virginia | west virginia row 202 : washington | idaho row 203 : washington | oregon row 204 : west virginia | pennsylvania row 205 : west virginia | maryland row 206 : west virginia | virginia row 207 : west virginia | kentucky row 208 : west virginia | ohio row 209 : wisconsin | michigan row 210 : wisconsin | illinois row 211 : wisconsin | iowa row 212 : wisconsin | minnesota row 213 : wyoming | montana row 214 : wyoming | south dakota row 215 : wyoming | nebraska row 216 : wyoming | colorado row 217 : wyoming | utah row 218 : wyoming | idaho
col : population row 1 : 2889000
SELECT river.river_name FROM river WHERE river.traverse='virginia';
what river runs through virginia
{"columns":["river_name"],"index":[0,1],"data":[["potomac"],["roanoke"]]}
[ "river" ]
[ "{\"columns\":[\"river_name\",\"length\",\"country_name\",\"traverse\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148],\"data\":[[\"mississippi\",3778,\"usa\",\"minnesota\"],[\"mississippi\",3778,\"usa\",\"wisconsin\"],[\"mississippi\",3778,\"usa\",\"iowa\"],[\"mississippi\",3778,\"usa\",\"illinois\"],[\"mississippi\",3778,\"usa\",\"missouri\"],[\"mississippi\",3778,\"usa\",\"kentucky\"],[\"mississippi\",3778,\"usa\",\"tennessee\"],[\"mississippi\",3778,\"usa\",\"arkansas\"],[\"mississippi\",3778,\"usa\",\"mississippi\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"missouri\",3968,\"usa\",\"montana\"],[\"missouri\",3968,\"usa\",\"north dakota\"],[\"missouri\",3968,\"usa\",\"south dakota\"],[\"missouri\",3968,\"usa\",\"iowa\"],[\"missouri\",3968,\"usa\",\"nebraska\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"colorado\",2333,\"usa\",\"colorado\"],[\"colorado\",2333,\"usa\",\"utah\"],[\"colorado\",2333,\"usa\",\"arizona\"],[\"colorado\",2333,\"usa\",\"nevada\"],[\"colorado\",2333,\"usa\",\"california\"],[\"ohio\",1569,\"usa\",\"pennsylvania\"],[\"ohio\",1569,\"usa\",\"west virginia\"],[\"ohio\",1569,\"usa\",\"kentucky\"],[\"ohio\",1569,\"usa\",\"indiana\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"ohio\"],[\"red\",1638,\"usa\",\"new mexico\"],[\"red\",1638,\"usa\",\"texas\"],[\"red\",1638,\"usa\",\"oklahoma\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"louisiana\"],[\"arkansas\",2333,\"usa\",\"colorado\"],[\"arkansas\",2333,\"usa\",\"kansas\"],[\"arkansas\",2333,\"usa\",\"oklahoma\"],[\"arkansas\",2333,\"usa\",\"arkansas\"],[\"canadian\",1458,\"usa\",\"colorado\"],[\"canadian\",1458,\"usa\",\"new mexico\"],[\"canadian\",1458,\"usa\",\"texas\"],[\"canadian\",1458,\"usa\",\"oklahoma\"],[\"connecticut\",655,\"usa\",\"new hampshire\"],[\"connecticut\",655,\"usa\",\"vermont\"],[\"connecticut\",655,\"usa\",\"massachusetts\"],[\"connecticut\",655,\"usa\",\"connecticut\"],[\"delaware\",451,\"usa\",\"new york\"],[\"delaware\",451,\"usa\",\"pennsylvania\"],[\"delaware\",451,\"usa\",\"new jersey\"],[\"delaware\",451,\"usa\",\"delaware\"],[\"little missouri\",901,\"usa\",\"wyoming\"],[\"little missouri\",901,\"usa\",\"montana\"],[\"little missouri\",901,\"usa\",\"south 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columbia\"],[\"republican\",679,\"usa\",\"colorado\"],[\"republican\",679,\"usa\",\"nebraska\"],[\"republican\",679,\"usa\",\"kansas\"],[\"rio grande\",3033,\"usa\",\"colorado\"],[\"rio grande\",3033,\"usa\",\"new mexico\"],[\"rio grande\",3033,\"usa\",\"texas\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"new mexico\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"utah\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"alabama\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"kentucky\"],[\"wabash\",764,\"usa\",\"ohio\"],[\"wabash\",764,\"usa\",\"indiana\"],[\"wabash\",764,\"usa\",\"illinois\"],[\"yellowstone\",1080,\"usa\",\"wyoming\"],[\"yellowstone\",1080,\"usa\",\"montana\"],[\"yellowstone\",1080,\"usa\",\"north dakota\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"allegheny\",523,\"usa\",\"new york\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"bighorn\",541,\"usa\",\"wyoming\"],[\"bighorn\",541,\"usa\",\"montana\"],[\"cheyenne\",848,\"usa\",\"wyoming\"],[\"cheyenne\",848,\"usa\",\"north dakota\"],[\"clark fork\",483,\"usa\",\"montana\"],[\"clark fork\",483,\"usa\",\"idaho\"],[\"columbia\",1953,\"usa\",\"washington\"],[\"columbia\",1953,\"usa\",\"oregon\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"cumberland\",1105,\"usa\",\"tennessee\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"dakota\",1142,\"usa\",\"north dakota\"],[\"dakota\",1142,\"usa\",\"south dakota\"],[\"gila\",805,\"usa\",\"new mexico\"],[\"gila\",805,\"usa\",\"arizona\"],[\"hudson\",492,\"usa\",\"new york\"],[\"hudson\",492,\"usa\",\"new jersey\"],[\"neosho\",740,\"usa\",\"kansas\"],[\"neosho\",740,\"usa\",\"oklahoma\"],[\"niobrara\",693,\"usa\",\"wyoming\"],[\"niobrara\",693,\"usa\",\"nebraska\"],[\"ouachita\",973,\"usa\",\"arkansas\"],[\"ouachita\",973,\"usa\",\"louisiana\"],[\"pearl\",788,\"usa\",\"michigan\"],[\"pearl\",788,\"usa\",\"louisiana\"],[\"pecos\",805,\"usa\",\"new mexico\"],[\"pecos\",805,\"usa\",\"texas\"],[\"powder\",603,\"usa\",\"wyoming\"],[\"powder\",603,\"usa\",\"montana\"],[\"roanoke\",660,\"usa\",\"virginia\"],[\"roanoke\",660,\"usa\",\"north carolina\"],[\"rock\",459,\"usa\",\"wisconsin\"],[\"rock\",459,\"usa\",\"illinois\"],[\"smoky hill\",869,\"usa\",\"colorado\"],[\"smoky hill\",869,\"usa\",\"kansas\"],[\"south platte\",682,\"usa\",\"colorado\"],[\"south platte\",682,\"usa\",\"nebraska\"],[\"st. francis\",684,\"usa\",\"missouri\"],[\"st. francis\",684,\"usa\",\"arkansas\"],[\"tombigbee\",658,\"usa\",\"mississippi\"],[\"tombigbee\",658,\"usa\",\"alabama\"],[\"washita\",805,\"usa\",\"texas\"],[\"washita\",805,\"usa\",\"oklahoma\"],[\"wateree catawba\",636,\"usa\",\"north carolina\"],[\"wateree catawba\",636,\"usa\",\"south carolina\"],[\"white\",1110,\"usa\",\"arkansas\"],[\"white\",1110,\"usa\",\"missouri\"],[\"white\",1110,\"usa\",\"arkansas\"]]}" ]
what river runs through virginia <table_name> : river col : river_name | length | country_name | traverse row 1 : mississippi | 3778 | usa | minnesota row 2 : mississippi | 3778 | usa | wisconsin row 3 : mississippi | 3778 | usa | iowa row 4 : mississippi | 3778 | usa | illinois row 5 : mississippi | 3778 | usa | missouri row 6 : mississippi | 3778 | usa | kentucky row 7 : mississippi | 3778 | usa | tennessee row 8 : mississippi | 3778 | usa | arkansas row 9 : mississippi | 3778 | usa | mississippi row 10 : mississippi | 3778 | usa | louisiana row 11 : mississippi | 3778 | usa | louisiana row 12 : missouri | 3968 | usa | montana row 13 : missouri | 3968 | usa | north dakota row 14 : missouri | 3968 | usa | south dakota row 15 : missouri | 3968 | usa | iowa row 16 : missouri | 3968 | usa | nebraska row 17 : missouri | 3968 | usa | missouri row 18 : missouri | 3968 | usa | missouri row 19 : colorado | 2333 | usa | colorado row 20 : colorado | 2333 | usa | utah row 21 : colorado | 2333 | usa | arizona row 22 : colorado | 2333 | usa | nevada row 23 : colorado | 2333 | usa | california row 24 : ohio | 1569 | usa | pennsylvania row 25 : ohio | 1569 | usa | west virginia row 26 : ohio | 1569 | usa | kentucky row 27 : ohio | 1569 | usa | indiana row 28 : ohio | 1569 | usa | illinois row 29 : ohio | 1569 | usa | illinois row 30 : ohio | 1569 | usa | ohio row 31 : red | 1638 | usa | new mexico row 32 : red | 1638 | usa | texas row 33 : red | 1638 | usa | oklahoma row 34 : red | 1638 | usa | arkansas row 35 : red | 1638 | usa | arkansas row 36 : red | 1638 | usa | louisiana row 37 : arkansas | 2333 | usa | colorado row 38 : arkansas | 2333 | usa | kansas row 39 : arkansas | 2333 | usa | oklahoma row 40 : arkansas | 2333 | usa | arkansas row 41 : canadian | 1458 | usa | colorado row 42 : canadian | 1458 | usa | new mexico row 43 : canadian | 1458 | usa | texas row 44 : canadian | 1458 | usa | oklahoma row 45 : connecticut | 655 | usa | new hampshire row 46 : connecticut | 655 | usa | vermont row 47 : connecticut | 655 | usa | massachusetts row 48 : connecticut | 655 | usa | connecticut row 49 : delaware | 451 | usa | new york row 50 : delaware | 451 | usa | pennsylvania row 51 : delaware | 451 | usa | new jersey row 52 : delaware | 451 | usa | delaware row 53 : little missouri | 901 | usa | wyoming row 54 : little missouri | 901 | usa | montana row 55 : little missouri | 901 | usa | south dakota row 56 : little missouri | 901 | usa | north dakota row 57 : snake | 1670 | usa | wyoming row 58 : snake | 1670 | usa | idaho row 59 : snake | 1670 | usa | oregon row 60 : snake | 1670 | usa | washington row 61 : snake | 1670 | usa | washington row 62 : chattahoochee | 702 | usa | georgia row 63 : chattahoochee | 702 | usa | georgia row 64 : chattahoochee | 702 | usa | florida row 65 : cimarron | 965 | usa | new mexico row 66 : cimarron | 965 | usa | kansas row 67 : cimarron | 965 | usa | oklahoma row 68 : green | 1175 | usa | wyoming row 69 : green | 1175 | usa | utah row 70 : green | 1175 | usa | colorado row 71 : green | 1175 | usa | utah row 72 : north platte | 1094 | usa | colorado row 73 : north platte | 1094 | usa | wyoming row 74 : north platte | 1094 | usa | nebraska row 75 : potomac | 462 | usa | west virginia row 76 : potomac | 462 | usa | maryland row 77 : potomac | 462 | usa | virginia row 78 : potomac | 462 | usa | district of columbia row 79 : republican | 679 | usa | colorado row 80 : republican | 679 | usa | nebraska row 81 : republican | 679 | usa | kansas row 82 : rio grande | 3033 | usa | colorado row 83 : rio grande | 3033 | usa | new mexico row 84 : rio grande | 3033 | usa | texas row 85 : san juan | 579 | usa | colorado row 86 : san juan | 579 | usa | new mexico row 87 : san juan | 579 | usa | colorado row 88 : san juan | 579 | usa | utah row 89 : tennessee | 1049 | usa | tennessee row 90 : tennessee | 1049 | usa | alabama row 91 : tennessee | 1049 | usa | tennessee row 92 : tennessee | 1049 | usa | kentucky row 93 : wabash | 764 | usa | ohio row 94 : wabash | 764 | usa | indiana row 95 : wabash | 764 | usa | illinois row 96 : yellowstone | 1080 | usa | wyoming row 97 : yellowstone | 1080 | usa | montana row 98 : yellowstone | 1080 | usa | north dakota row 99 : allegheny | 523 | usa | pennsylvania row 100 : allegheny | 523 | usa | new york row 101 : allegheny | 523 | usa | pennsylvania row 102 : bighorn | 541 | usa | wyoming row 103 : bighorn | 541 | usa | montana row 104 : cheyenne | 848 | usa | wyoming row 105 : cheyenne | 848 | usa | north dakota row 106 : clark fork | 483 | usa | montana row 107 : clark fork | 483 | usa | idaho row 108 : columbia | 1953 | usa | washington row 109 : columbia | 1953 | usa | oregon row 110 : cumberland | 1105 | usa | kentucky row 111 : cumberland | 1105 | usa | tennessee row 112 : cumberland | 1105 | usa | kentucky row 113 : dakota | 1142 | usa | north dakota row 114 : dakota | 1142 | usa | south dakota row 115 : gila | 805 | usa | new mexico row 116 : gila | 805 | usa | arizona row 117 : hudson | 492 | usa | new york row 118 : hudson | 492 | usa | new jersey row 119 : neosho | 740 | usa | kansas row 120 : neosho | 740 | usa | oklahoma row 121 : niobrara | 693 | usa | wyoming row 122 : niobrara | 693 | usa | nebraska row 123 : ouachita | 973 | usa | arkansas row 124 : ouachita | 973 | usa | louisiana row 125 : pearl | 788 | usa | michigan row 126 : pearl | 788 | usa | louisiana row 127 : pecos | 805 | usa | new mexico row 128 : pecos | 805 | usa | texas row 129 : powder | 603 | usa | wyoming row 130 : powder | 603 | usa | montana row 131 : roanoke | 660 | usa | virginia row 132 : roanoke | 660 | usa | north carolina row 133 : rock | 459 | usa | wisconsin row 134 : rock | 459 | usa | illinois row 135 : smoky hill | 869 | usa | colorado row 136 : smoky hill | 869 | usa | kansas row 137 : south platte | 682 | usa | colorado row 138 : south platte | 682 | usa | nebraska row 139 : st. francis | 684 | usa | missouri row 140 : st. francis | 684 | usa | arkansas row 141 : tombigbee | 658 | usa | mississippi row 142 : tombigbee | 658 | usa | alabama row 143 : washita | 805 | usa | texas row 144 : washita | 805 | usa | oklahoma row 145 : wateree catawba | 636 | usa | north carolina row 146 : wateree catawba | 636 | usa | south carolina row 147 : white | 1110 | usa | arkansas row 148 : white | 1110 | usa | missouri row 149 : white | 1110 | usa | arkansas
col : river_name row 1 : potomac row 2 : roanoke
SELECT state.population FROM state WHERE state.state_name IN(SELECT river.traverse FROM river WHERE river.river_name='mississippi');
what are the populations of the states through which the mississippi river runs
{"columns":["population"],"index":[0,1,2,3,4,5,6,7,8,9],"data":[[2286000],[11400000],[2913000],[2364000],[4206000],[4076000],[2520000],[4916000],[4591000],[4700000]]}
[ "river", "state" ]
[ "{\"columns\":[\"river_name\",\"length\",\"country_name\",\"traverse\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148],\"data\":[[\"mississippi\",3778,\"usa\",\"minnesota\"],[\"mississippi\",3778,\"usa\",\"wisconsin\"],[\"mississippi\",3778,\"usa\",\"iowa\"],[\"mississippi\",3778,\"usa\",\"illinois\"],[\"mississippi\",3778,\"usa\",\"missouri\"],[\"mississippi\",3778,\"usa\",\"kentucky\"],[\"mississippi\",3778,\"usa\",\"tennessee\"],[\"mississippi\",3778,\"usa\",\"arkansas\"],[\"mississippi\",3778,\"usa\",\"mississippi\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"missouri\",3968,\"usa\",\"montana\"],[\"missouri\",3968,\"usa\",\"north dakota\"],[\"missouri\",3968,\"usa\",\"south dakota\"],[\"missouri\",3968,\"usa\",\"iowa\"],[\"missouri\",3968,\"usa\",\"nebraska\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"colorado\",2333,\"usa\",\"colorado\"],[\"colorado\",2333,\"usa\",\"utah\"],[\"colorado\",2333,\"usa\",\"arizona\"],[\"colorado\",2333,\"usa\",\"nevada\"],[\"colorado\",2333,\"usa\",\"california\"],[\"ohio\",1569,\"usa\",\"pennsylvania\"],[\"ohio\",1569,\"usa\",\"west virginia\"],[\"ohio\",1569,\"usa\",\"kentucky\"],[\"ohio\",1569,\"usa\",\"indiana\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"ohio\"],[\"red\",1638,\"usa\",\"new mexico\"],[\"red\",1638,\"usa\",\"texas\"],[\"red\",1638,\"usa\",\"oklahoma\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"louisiana\"],[\"arkansas\",2333,\"usa\",\"colorado\"],[\"arkansas\",2333,\"usa\",\"kansas\"],[\"arkansas\",2333,\"usa\",\"oklahoma\"],[\"arkansas\",2333,\"usa\",\"arkansas\"],[\"canadian\",1458,\"usa\",\"colorado\"],[\"canadian\",1458,\"usa\",\"new mexico\"],[\"canadian\",1458,\"usa\",\"texas\"],[\"canadian\",1458,\"usa\",\"oklahoma\"],[\"connecticut\",655,\"usa\",\"new hampshire\"],[\"connecticut\",655,\"usa\",\"vermont\"],[\"connecticut\",655,\"usa\",\"massachusetts\"],[\"connecticut\",655,\"usa\",\"connecticut\"],[\"delaware\",451,\"usa\",\"new york\"],[\"delaware\",451,\"usa\",\"pennsylvania\"],[\"delaware\",451,\"usa\",\"new jersey\"],[\"delaware\",451,\"usa\",\"delaware\"],[\"little missouri\",901,\"usa\",\"wyoming\"],[\"little missouri\",901,\"usa\",\"montana\"],[\"little missouri\",901,\"usa\",\"south dakota\"],[\"little missouri\",901,\"usa\",\"north dakota\"],[\"snake\",1670,\"usa\",\"wyoming\"],[\"snake\",1670,\"usa\",\"idaho\"],[\"snake\",1670,\"usa\",\"oregon\"],[\"snake\",1670,\"usa\",\"washington\"],[\"snake\",1670,\"usa\",\"washington\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"florida\"],[\"cimarron\",965,\"usa\",\"new mexico\"],[\"cimarron\",965,\"usa\",\"kansas\"],[\"cimarron\",965,\"usa\",\"oklahoma\"],[\"green\",1175,\"usa\",\"wyoming\"],[\"green\",1175,\"usa\",\"utah\"],[\"green\",1175,\"usa\",\"colorado\"],[\"green\",1175,\"usa\",\"utah\"],[\"north platte\",1094,\"usa\",\"colorado\"],[\"north platte\",1094,\"usa\",\"wyoming\"],[\"north platte\",1094,\"usa\",\"nebraska\"],[\"potomac\",462,\"usa\",\"west virginia\"],[\"potomac\",462,\"usa\",\"maryland\"],[\"potomac\",462,\"usa\",\"virginia\"],[\"potomac\",462,\"usa\",\"district of columbia\"],[\"republican\",679,\"usa\",\"colorado\"],[\"republican\",679,\"usa\",\"nebraska\"],[\"republican\",679,\"usa\",\"kansas\"],[\"rio grande\",3033,\"usa\",\"colorado\"],[\"rio grande\",3033,\"usa\",\"new mexico\"],[\"rio grande\",3033,\"usa\",\"texas\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"new mexico\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"utah\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"alabama\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"kentucky\"],[\"wabash\",764,\"usa\",\"ohio\"],[\"wabash\",764,\"usa\",\"indiana\"],[\"wabash\",764,\"usa\",\"illinois\"],[\"yellowstone\",1080,\"usa\",\"wyoming\"],[\"yellowstone\",1080,\"usa\",\"montana\"],[\"yellowstone\",1080,\"usa\",\"north dakota\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"allegheny\",523,\"usa\",\"new york\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"bighorn\",541,\"usa\",\"wyoming\"],[\"bighorn\",541,\"usa\",\"montana\"],[\"cheyenne\",848,\"usa\",\"wyoming\"],[\"cheyenne\",848,\"usa\",\"north dakota\"],[\"clark fork\",483,\"usa\",\"montana\"],[\"clark fork\",483,\"usa\",\"idaho\"],[\"columbia\",1953,\"usa\",\"washington\"],[\"columbia\",1953,\"usa\",\"oregon\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"cumberland\",1105,\"usa\",\"tennessee\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"dakota\",1142,\"usa\",\"north dakota\"],[\"dakota\",1142,\"usa\",\"south dakota\"],[\"gila\",805,\"usa\",\"new mexico\"],[\"gila\",805,\"usa\",\"arizona\"],[\"hudson\",492,\"usa\",\"new york\"],[\"hudson\",492,\"usa\",\"new jersey\"],[\"neosho\",740,\"usa\",\"kansas\"],[\"neosho\",740,\"usa\",\"oklahoma\"],[\"niobrara\",693,\"usa\",\"wyoming\"],[\"niobrara\",693,\"usa\",\"nebraska\"],[\"ouachita\",973,\"usa\",\"arkansas\"],[\"ouachita\",973,\"usa\",\"louisiana\"],[\"pearl\",788,\"usa\",\"michigan\"],[\"pearl\",788,\"usa\",\"louisiana\"],[\"pecos\",805,\"usa\",\"new mexico\"],[\"pecos\",805,\"usa\",\"texas\"],[\"powder\",603,\"usa\",\"wyoming\"],[\"powder\",603,\"usa\",\"montana\"],[\"roanoke\",660,\"usa\",\"virginia\"],[\"roanoke\",660,\"usa\",\"north carolina\"],[\"rock\",459,\"usa\",\"wisconsin\"],[\"rock\",459,\"usa\",\"illinois\"],[\"smoky hill\",869,\"usa\",\"colorado\"],[\"smoky hill\",869,\"usa\",\"kansas\"],[\"south platte\",682,\"usa\",\"colorado\"],[\"south platte\",682,\"usa\",\"nebraska\"],[\"st. francis\",684,\"usa\",\"missouri\"],[\"st. francis\",684,\"usa\",\"arkansas\"],[\"tombigbee\",658,\"usa\",\"mississippi\"],[\"tombigbee\",658,\"usa\",\"alabama\"],[\"washita\",805,\"usa\",\"texas\"],[\"washita\",805,\"usa\",\"oklahoma\"],[\"wateree catawba\",636,\"usa\",\"north carolina\"],[\"wateree catawba\",636,\"usa\",\"south carolina\"],[\"white\",1110,\"usa\",\"arkansas\"],[\"white\",1110,\"usa\",\"missouri\"],[\"white\",1110,\"usa\",\"arkansas\"]]}", "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what are the populations of the states through which the mississippi river runs <table_name> : river col : river_name | length | country_name | traverse row 1 : mississippi | 3778 | usa | minnesota row 2 : mississippi | 3778 | usa | wisconsin row 3 : mississippi | 3778 | usa | iowa row 4 : mississippi | 3778 | usa | illinois row 5 : mississippi | 3778 | usa | missouri row 6 : mississippi | 3778 | usa | kentucky row 7 : mississippi | 3778 | usa | tennessee row 8 : mississippi | 3778 | usa | arkansas row 9 : mississippi | 3778 | usa | mississippi row 10 : mississippi | 3778 | usa | louisiana row 11 : mississippi | 3778 | usa | louisiana row 12 : missouri | 3968 | usa | montana row 13 : missouri | 3968 | usa | north dakota row 14 : missouri | 3968 | usa | south dakota row 15 : missouri | 3968 | usa | iowa row 16 : missouri | 3968 | usa | nebraska row 17 : missouri | 3968 | usa | missouri row 18 : missouri | 3968 | usa | missouri row 19 : colorado | 2333 | usa | colorado row 20 : colorado | 2333 | usa | utah row 21 : colorado | 2333 | usa | arizona row 22 : colorado | 2333 | usa | nevada row 23 : colorado | 2333 | usa | california row 24 : ohio | 1569 | usa | pennsylvania row 25 : ohio | 1569 | usa | west virginia row 26 : ohio | 1569 | usa | kentucky row 27 : ohio | 1569 | usa | indiana row 28 : ohio | 1569 | usa | illinois row 29 : ohio | 1569 | usa | illinois row 30 : ohio | 1569 | usa | ohio row 31 : red | 1638 | usa | new mexico row 32 : red | 1638 | usa | texas row 33 : red | 1638 | usa | oklahoma row 34 : red | 1638 | usa | arkansas row 35 : red | 1638 | usa | arkansas row 36 : red | 1638 | usa | louisiana row 37 : arkansas | 2333 | usa | colorado row 38 : arkansas | 2333 | usa | kansas row 39 : arkansas | 2333 | usa | oklahoma row 40 : arkansas | 2333 | usa | arkansas row 41 : canadian | 1458 | usa | colorado row 42 : canadian | 1458 | usa | new mexico row 43 : canadian | 1458 | usa | texas row 44 : canadian | 1458 | usa | oklahoma row 45 : connecticut | 655 | usa | new hampshire row 46 : connecticut | 655 | usa | vermont row 47 : connecticut | 655 | usa | massachusetts row 48 : connecticut | 655 | usa | connecticut row 49 : delaware | 451 | usa | new york row 50 : delaware | 451 | usa | pennsylvania row 51 : delaware | 451 | usa | new jersey row 52 : delaware | 451 | usa | delaware row 53 : little missouri | 901 | usa | wyoming row 54 : little missouri | 901 | usa | montana row 55 : little missouri | 901 | usa | south dakota row 56 : little missouri | 901 | usa | north dakota row 57 : snake | 1670 | usa | wyoming row 58 : snake | 1670 | usa | idaho row 59 : snake | 1670 | usa | oregon row 60 : snake | 1670 | usa | washington row 61 : snake | 1670 | usa | washington row 62 : chattahoochee | 702 | usa | georgia row 63 : chattahoochee | 702 | usa | georgia row 64 : chattahoochee | 702 | usa | florida row 65 : cimarron | 965 | usa | new mexico row 66 : cimarron | 965 | usa | kansas row 67 : cimarron | 965 | usa | oklahoma row 68 : green | 1175 | usa | wyoming row 69 : green | 1175 | usa | utah row 70 : green | 1175 | usa | colorado row 71 : green | 1175 | usa | utah row 72 : north platte | 1094 | usa | colorado row 73 : north platte | 1094 | usa | wyoming row 74 : north platte | 1094 | usa | nebraska row 75 : potomac | 462 | usa | west virginia row 76 : potomac | 462 | usa | maryland row 77 : potomac | 462 | usa | virginia row 78 : potomac | 462 | usa | district of columbia row 79 : republican | 679 | usa | colorado row 80 : republican | 679 | usa | nebraska row 81 : republican | 679 | usa | kansas row 82 : rio grande | 3033 | usa | colorado row 83 : rio grande | 3033 | usa | new mexico row 84 : rio grande | 3033 | usa | texas row 85 : san juan | 579 | usa | colorado row 86 : san juan | 579 | usa | new mexico row 87 : san juan | 579 | usa | colorado row 88 : san juan | 579 | usa | utah row 89 : tennessee | 1049 | usa | tennessee row 90 : tennessee | 1049 | usa | alabama row 91 : tennessee | 1049 | usa | tennessee row 92 : tennessee | 1049 | usa | kentucky row 93 : wabash | 764 | usa | ohio row 94 : wabash | 764 | usa | indiana row 95 : wabash | 764 | usa | illinois row 96 : yellowstone | 1080 | usa | wyoming row 97 : yellowstone | 1080 | usa | montana row 98 : yellowstone | 1080 | usa | north dakota row 99 : allegheny | 523 | usa | pennsylvania row 100 : allegheny | 523 | usa | new york row 101 : allegheny | 523 | usa | pennsylvania row 102 : bighorn | 541 | usa | wyoming row 103 : bighorn | 541 | usa | montana row 104 : cheyenne | 848 | usa | wyoming row 105 : cheyenne | 848 | usa | north dakota row 106 : clark fork | 483 | usa | montana row 107 : clark fork | 483 | usa | idaho row 108 : columbia | 1953 | usa | washington row 109 : columbia | 1953 | usa | oregon row 110 : cumberland | 1105 | usa | kentucky row 111 : cumberland | 1105 | usa | tennessee row 112 : cumberland | 1105 | usa | kentucky row 113 : dakota | 1142 | usa | north dakota row 114 : dakota | 1142 | usa | south dakota row 115 : gila | 805 | usa | new mexico row 116 : gila | 805 | usa | arizona row 117 : hudson | 492 | usa | new york row 118 : hudson | 492 | usa | new jersey row 119 : neosho | 740 | usa | kansas row 120 : neosho | 740 | usa | oklahoma row 121 : niobrara | 693 | usa | wyoming row 122 : niobrara | 693 | usa | nebraska row 123 : ouachita | 973 | usa | arkansas row 124 : ouachita | 973 | usa | louisiana row 125 : pearl | 788 | usa | michigan row 126 : pearl | 788 | usa | louisiana row 127 : pecos | 805 | usa | new mexico row 128 : pecos | 805 | usa | texas row 129 : powder | 603 | usa | wyoming row 130 : powder | 603 | usa | montana row 131 : roanoke | 660 | usa | virginia row 132 : roanoke | 660 | usa | north carolina row 133 : rock | 459 | usa | wisconsin row 134 : rock | 459 | usa | illinois row 135 : smoky hill | 869 | usa | colorado row 136 : smoky hill | 869 | usa | kansas row 137 : south platte | 682 | usa | colorado row 138 : south platte | 682 | usa | nebraska row 139 : st. francis | 684 | usa | missouri row 140 : st. francis | 684 | usa | arkansas row 141 : tombigbee | 658 | usa | mississippi row 142 : tombigbee | 658 | usa | alabama row 143 : washita | 805 | usa | texas row 144 : washita | 805 | usa | oklahoma row 145 : wateree catawba | 636 | usa | north carolina row 146 : wateree catawba | 636 | usa | south carolina row 147 : white | 1110 | usa | arkansas row 148 : white | 1110 | usa | missouri row 149 : white | 1110 | usa | arkansas <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : population row 1 : 2286000 row 2 : 11400000 row 3 : 2913000 row 4 : 2364000 row 5 : 4206000 row 6 : 4076000 row 7 : 2520000 row 8 : 4916000 row 9 : 4591000 row 10 : 4700000
SELECT count(city.state_name) FROM city WHERE city.city_name='springfield';
how many states have cities or towns named springfield
{"columns":["count(city.state_name)"],"index":[0],"data":[[4]]}
[ "city" ]
[ 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how many states have cities or towns named springfield <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : count(city.state_name) row 1 : 4
SELECT border_info.border FROM border_info WHERE border_info.state_name='kentucky';
what states border kentucky
{"columns":["border"],"index":[0,1,2,3,4,5,6],"data":[["indiana"],["ohio"],["west virginia"],["virginia"],["tennessee"],["missouri"],["illinois"]]}
[ "border_info" ]
[ "{\"columns\":[\"state_name\",\"border\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217],\"data\":[[\"alabama\",\"tennessee\"],[\"alabama\",\"georgia\"],[\"alabama\",\"florida\"],[\"alabama\",\"mississippi\"],[\"arizona\",\"utah\"],[\"arizona\",\"colorado\"],[\"arizona\",\"new mexico\"],[\"arizona\",\"california\"],[\"arizona\",\"nevada\"],[\"arkansas\",\"missouri\"],[\"arkansas\",\"tennessee\"],[\"arkansas\",\"mississippi\"],[\"arkansas\",\"louisiana\"],[\"arkansas\",\"texas\"],[\"arkansas\",\"oklahoma\"],[\"california\",\"oregon\"],[\"california\",\"nevada\"],[\"california\",\"arizona\"],[\"colorado\",\"nebraska\"],[\"colorado\",\"kansas\"],[\"colorado\",\"oklahoma\"],[\"colorado\",\"new mexico\"],[\"colorado\",\"arizona\"],[\"colorado\",\"utah\"],[\"colorado\",\"wyoming\"],[\"connecticut\",\"massachusetts\"],[\"connecticut\",\"rhode island\"],[\"connecticut\",\"new york\"],[\"delaware\",\"pennsylvania\"],[\"delaware\",\"new jersey\"],[\"delaware\",\"maryland\"],[\"district of columbia\",\"maryland\"],[\"district of columbia\",\"virginia\"],[\"florida\",\"georgia\"],[\"florida\",\"alabama\"],[\"georgia\",\"north carolina\"],[\"georgia\",\"south carolina\"],[\"georgia\",\"florida\"],[\"georgia\",\"alabama\"],[\"georgia\",\"tennessee\"],[\"idaho\",\"montana\"],[\"idaho\",\"wyoming\"],[\"idaho\",\"utah\"],[\"idaho\",\"nevada\"],[\"idaho\",\"oregon\"],[\"idaho\",\"washington\"],[\"illinois\",\"wisconsin\"],[\"illinois\",\"indiana\"],[\"illinois\",\"kentucky\"],[\"illinois\",\"missouri\"],[\"illinois\",\"iowa\"],[\"indiana\",\"michigan\"],[\"indiana\",\"ohio\"],[\"indiana\",\"kentucky\"],[\"indiana\",\"illinois\"],[\"iowa\",\"minnesota\"],[\"iowa\",\"wisconsin\"],[\"iowa\",\"illinois\"],[\"iowa\",\"missouri\"],[\"iowa\",\"nebraska\"],[\"iowa\",\"south dakota\"],[\"kansas\",\"nebraska\"],[\"kansas\",\"missouri\"],[\"kansas\",\"oklahoma\"],[\"kansas\",\"colorado\"],[\"kentucky\",\"indiana\"],[\"kentucky\",\"ohio\"],[\"kentucky\",\"west virginia\"],[\"kentucky\",\"virginia\"],[\"kentucky\",\"tennessee\"],[\"kentucky\",\"missouri\"],[\"kentucky\",\"illinois\"],[\"louisiana\",\"arkansas\"],[\"louisiana\",\"mississippi\"],[\"louisiana\",\"texas\"],[\"maine\",\"new hampshire\"],[\"maryland\",\"pennsylvania\"],[\"maryland\",\"delaware\"],[\"maryland\",\"virginia\"],[\"maryland\",\"district of columbia\"],[\"maryland\",\"west virginia\"],[\"massachusetts\",\"new hampshire\"],[\"massachusetts\",\"rhode island\"],[\"massachusetts\",\"connecticut\"],[\"massachusetts\",\"new york\"],[\"massachusetts\",\"vermont\"],[\"michigan\",\"ohio\"],[\"michigan\",\"indiana\"],[\"michigan\",\"wisconsin\"],[\"minnesota\",\"wisconsin\"],[\"minnesota\",\"iowa\"],[\"minnesota\",\"south dakota\"],[\"minnesota\",\"north dakota\"],[\"mississippi\",\"tennessee\"],[\"mississippi\",\"alabama\"],[\"mississippi\",\"louisiana\"],[\"mississippi\",\"arkansas\"],[\"missouri\",\"iowa\"],[\"missouri\",\"illinois\"],[\"missouri\",\"kentucky\"],[\"missouri\",\"tennessee\"],[\"missouri\",\"arkansas\"],[\"missouri\",\"oklahoma\"],[\"missouri\",\"kansas\"],[\"missouri\",\"nebraska\"],[\"montana\",\"north dakota\"],[\"montana\",\"south dakota\"],[\"montana\",\"wyoming\"],[\"montana\",\"idaho\"],[\"nebraska\",\"south dakota\"],[\"nebraska\",\"iowa\"],[\"nebraska\",\"missouri\"],[\"nebraska\",\"kansas\"],[\"nebraska\",\"colorado\"],[\"nebraska\",\"wyoming\"],[\"nevada\",\"idaho\"],[\"nevada\",\"utah\"],[\"nevada\",\"arizona\"],[\"nevada\",\"california\"],[\"nevada\",\"oregon\"],[\"new hampshire\",\"maine\"],[\"new hampshire\",\"massachusetts\"],[\"new hampshire\",\"vermont\"],[\"new jersey\",\"new york\"],[\"new jersey\",\"delaware\"],[\"new jersey\",\"pennsylvania\"],[\"new mexico\",\"colorado\"],[\"new mexico\",\"oklahoma\"],[\"new mexico\",\"texas\"],[\"new mexico\",\"arizona\"],[\"new mexico\",\"utah\"],[\"new york\",\"vermont\"],[\"new york\",\"massachusetts\"],[\"new york\",\"connecticut\"],[\"new york\",\"new jersey\"],[\"new york\",\"pennsylvania\"],[\"north carolina\",\"virginia\"],[\"north carolina\",\"south carolina\"],[\"north carolina\",\"georgia\"],[\"north carolina\",\"tennessee\"],[\"north dakota\",\"minnesota\"],[\"north dakota\",\"south dakota\"],[\"north dakota\",\"montana\"],[\"ohio\",\"michigan\"],[\"ohio\",\"pennsylvania\"],[\"ohio\",\"west virginia\"],[\"ohio\",\"kentucky\"],[\"ohio\",\"indiana\"],[\"oklahoma\",\"kansas\"],[\"oklahoma\",\"missouri\"],[\"oklahoma\",\"arkansas\"],[\"oklahoma\",\"texas\"],[\"oklahoma\",\"new mexico\"],[\"oklahoma\",\"colorado\"],[\"oregon\",\"washington\"],[\"oregon\",\"idaho\"],[\"oregon\",\"nevada\"],[\"oregon\",\"california\"],[\"pennsylvania\",\"new york\"],[\"pennsylvania\",\"new jersey\"],[\"pennsylvania\",\"delaware\"],[\"pennsylvania\",\"maryland\"],[\"pennsylvania\",\"west virginia\"],[\"pennsylvania\",\"ohio\"],[\"rhode island\",\"massachusetts\"],[\"rhode island\",\"connecticut\"],[\"south carolina\",\"north carolina\"],[\"south carolina\",\"georgia\"],[\"south dakota\",\"north dakota\"],[\"south dakota\",\"minnesota\"],[\"south dakota\",\"iowa\"],[\"south dakota\",\"nebraska\"],[\"south dakota\",\"wyoming\"],[\"south dakota\",\"montana\"],[\"tennessee\",\"kentucky\"],[\"tennessee\",\"virginia\"],[\"tennessee\",\"north carolina\"],[\"tennessee\",\"georgia\"],[\"tennessee\",\"alabama\"],[\"tennessee\",\"mississippi\"],[\"tennessee\",\"arkansas\"],[\"tennessee\",\"missouri\"],[\"texas\",\"oklahoma\"],[\"texas\",\"arkansas\"],[\"texas\",\"louisiana\"],[\"texas\",\"new mexico\"],[\"utah\",\"wyoming\"],[\"utah\",\"colorado\"],[\"utah\",\"new mexico\"],[\"utah\",\"arizona\"],[\"utah\",\"nevada\"],[\"utah\",\"idaho\"],[\"vermont\",\"new hampshire\"],[\"vermont\",\"massachusetts\"],[\"vermont\",\"new york\"],[\"virginia\",\"maryland\"],[\"virginia\",\"district of columbia\"],[\"virginia\",\"north carolina\"],[\"virginia\",\"tennessee\"],[\"virginia\",\"kentucky\"],[\"virginia\",\"west virginia\"],[\"washington\",\"idaho\"],[\"washington\",\"oregon\"],[\"west virginia\",\"pennsylvania\"],[\"west virginia\",\"maryland\"],[\"west virginia\",\"virginia\"],[\"west virginia\",\"kentucky\"],[\"west virginia\",\"ohio\"],[\"wisconsin\",\"michigan\"],[\"wisconsin\",\"illinois\"],[\"wisconsin\",\"iowa\"],[\"wisconsin\",\"minnesota\"],[\"wyoming\",\"montana\"],[\"wyoming\",\"south dakota\"],[\"wyoming\",\"nebraska\"],[\"wyoming\",\"colorado\"],[\"wyoming\",\"utah\"],[\"wyoming\",\"idaho\"]]}" ]
what states border kentucky <table_name> : border_info col : state_name | border row 1 : alabama | tennessee row 2 : alabama | georgia row 3 : alabama | florida row 4 : alabama | mississippi row 5 : arizona | utah row 6 : arizona | colorado row 7 : arizona | new mexico row 8 : arizona | california row 9 : arizona | nevada row 10 : arkansas | missouri row 11 : arkansas | tennessee row 12 : arkansas | mississippi row 13 : arkansas | louisiana row 14 : arkansas | texas row 15 : arkansas | oklahoma row 16 : california | oregon row 17 : california | nevada row 18 : california | arizona row 19 : colorado | nebraska row 20 : colorado | kansas row 21 : colorado | oklahoma row 22 : colorado | new mexico row 23 : colorado | arizona row 24 : colorado | utah row 25 : colorado | wyoming row 26 : connecticut | massachusetts row 27 : connecticut | rhode island row 28 : connecticut | new york row 29 : delaware | pennsylvania row 30 : delaware | new jersey row 31 : delaware | maryland row 32 : district of columbia | maryland row 33 : district of columbia | virginia row 34 : florida | georgia row 35 : florida | alabama row 36 : georgia | north carolina row 37 : georgia | south carolina row 38 : georgia | florida row 39 : georgia | alabama row 40 : georgia | tennessee row 41 : idaho | montana row 42 : idaho | wyoming row 43 : idaho | utah row 44 : idaho | nevada row 45 : idaho | oregon row 46 : idaho | washington row 47 : illinois | wisconsin row 48 : illinois | indiana row 49 : illinois | kentucky row 50 : illinois | missouri row 51 : illinois | iowa row 52 : indiana | michigan row 53 : indiana | ohio row 54 : indiana | kentucky row 55 : indiana | illinois row 56 : iowa | minnesota row 57 : iowa | wisconsin row 58 : iowa | illinois row 59 : iowa | missouri row 60 : iowa | nebraska row 61 : iowa | south dakota row 62 : kansas | nebraska row 63 : kansas | missouri row 64 : kansas | oklahoma row 65 : kansas | colorado row 66 : kentucky | indiana row 67 : kentucky | ohio row 68 : kentucky | west virginia row 69 : kentucky | virginia row 70 : kentucky | tennessee row 71 : kentucky | missouri row 72 : kentucky | illinois row 73 : louisiana | arkansas row 74 : louisiana | mississippi row 75 : louisiana | texas row 76 : maine | new hampshire row 77 : maryland | pennsylvania row 78 : maryland | delaware row 79 : maryland | virginia row 80 : maryland | district of columbia row 81 : maryland | west virginia row 82 : massachusetts | new hampshire row 83 : massachusetts | rhode island row 84 : massachusetts | connecticut row 85 : massachusetts | new york row 86 : massachusetts | vermont row 87 : michigan | ohio row 88 : michigan | indiana row 89 : michigan | wisconsin row 90 : minnesota | wisconsin row 91 : minnesota | iowa row 92 : minnesota | south dakota row 93 : minnesota | north dakota row 94 : mississippi | tennessee row 95 : mississippi | alabama row 96 : mississippi | louisiana row 97 : mississippi | arkansas row 98 : missouri | iowa row 99 : missouri | illinois row 100 : missouri | kentucky row 101 : missouri | tennessee row 102 : missouri | arkansas row 103 : missouri | oklahoma row 104 : missouri | kansas row 105 : missouri | nebraska row 106 : montana | north dakota row 107 : montana | south dakota row 108 : montana | wyoming row 109 : montana | idaho row 110 : nebraska | south dakota row 111 : nebraska | iowa row 112 : nebraska | missouri row 113 : nebraska | kansas row 114 : nebraska | colorado row 115 : nebraska | wyoming row 116 : nevada | idaho row 117 : nevada | utah row 118 : nevada | arizona row 119 : nevada | california row 120 : nevada | oregon row 121 : new hampshire | maine row 122 : new hampshire | massachusetts row 123 : new hampshire | vermont row 124 : new jersey | new york row 125 : new jersey | delaware row 126 : new jersey | pennsylvania row 127 : new mexico | colorado row 128 : new mexico | oklahoma row 129 : new mexico | texas row 130 : new mexico | arizona row 131 : new mexico | utah row 132 : new york | vermont row 133 : new york | massachusetts row 134 : new york | connecticut row 135 : new york | new jersey row 136 : new york | pennsylvania row 137 : north carolina | virginia row 138 : north carolina | south carolina row 139 : north carolina | georgia row 140 : north carolina | tennessee row 141 : north dakota | minnesota row 142 : north dakota | south dakota row 143 : north dakota | montana row 144 : ohio | michigan row 145 : ohio | pennsylvania row 146 : ohio | west virginia row 147 : ohio | kentucky row 148 : ohio | indiana row 149 : oklahoma | kansas row 150 : oklahoma | missouri row 151 : oklahoma | arkansas row 152 : oklahoma | texas row 153 : oklahoma | new mexico row 154 : oklahoma | colorado row 155 : oregon | washington row 156 : oregon | idaho row 157 : oregon | nevada row 158 : oregon | california row 159 : pennsylvania | new york row 160 : pennsylvania | new jersey row 161 : pennsylvania | delaware row 162 : pennsylvania | maryland row 163 : pennsylvania | west virginia row 164 : pennsylvania | ohio row 165 : rhode island | massachusetts row 166 : rhode island | connecticut row 167 : south carolina | north carolina row 168 : south carolina | georgia row 169 : south dakota | north dakota row 170 : south dakota | minnesota row 171 : south dakota | iowa row 172 : south dakota | nebraska row 173 : south dakota | wyoming row 174 : south dakota | montana row 175 : tennessee | kentucky row 176 : tennessee | virginia row 177 : tennessee | north carolina row 178 : tennessee | georgia row 179 : tennessee | alabama row 180 : tennessee | mississippi row 181 : tennessee | arkansas row 182 : tennessee | missouri row 183 : texas | oklahoma row 184 : texas | arkansas row 185 : texas | louisiana row 186 : texas | new mexico row 187 : utah | wyoming row 188 : utah | colorado row 189 : utah | new mexico row 190 : utah | arizona row 191 : utah | nevada row 192 : utah | idaho row 193 : vermont | new hampshire row 194 : vermont | massachusetts row 195 : vermont | new york row 196 : virginia | maryland row 197 : virginia | district of columbia row 198 : virginia | north carolina row 199 : virginia | tennessee row 200 : virginia | kentucky row 201 : virginia | west virginia row 202 : washington | idaho row 203 : washington | oregon row 204 : west virginia | pennsylvania row 205 : west virginia | maryland row 206 : west virginia | virginia row 207 : west virginia | kentucky row 208 : west virginia | ohio row 209 : wisconsin | michigan row 210 : wisconsin | illinois row 211 : wisconsin | iowa row 212 : wisconsin | minnesota row 213 : wyoming | montana row 214 : wyoming | south dakota row 215 : wyoming | nebraska row 216 : wyoming | colorado row 217 : wyoming | utah row 218 : wyoming | idaho
col : border row 1 : indiana row 2 : ohio row 3 : west virginia row 4 : virginia row 5 : tennessee row 6 : missouri row 7 : illinois
SELECT state.state_name FROM state WHERE state.state_name IN(SELECT river.traverse FROM river WHERE river.river_name='rio grande') AND state.area=(SELECT max(state.area) FROM state WHERE state.state_name IN(SELECT river.traverse FROM river WHERE river.river_name='rio grande'));
what is the largest of the state that the rio grande runs through
{"columns":["state_name"],"index":[0],"data":[["texas"]]}
[ "river", "state" ]
[ "{\"columns\":[\"river_name\",\"length\",\"country_name\",\"traverse\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148],\"data\":[[\"mississippi\",3778,\"usa\",\"minnesota\"],[\"mississippi\",3778,\"usa\",\"wisconsin\"],[\"mississippi\",3778,\"usa\",\"iowa\"],[\"mississippi\",3778,\"usa\",\"illinois\"],[\"mississippi\",3778,\"usa\",\"missouri\"],[\"mississippi\",3778,\"usa\",\"kentucky\"],[\"mississippi\",3778,\"usa\",\"tennessee\"],[\"mississippi\",3778,\"usa\",\"arkansas\"],[\"mississippi\",3778,\"usa\",\"mississippi\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"missouri\",3968,\"usa\",\"montana\"],[\"missouri\",3968,\"usa\",\"north dakota\"],[\"missouri\",3968,\"usa\",\"south dakota\"],[\"missouri\",3968,\"usa\",\"iowa\"],[\"missouri\",3968,\"usa\",\"nebraska\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"colorado\",2333,\"usa\",\"colorado\"],[\"colorado\",2333,\"usa\",\"utah\"],[\"colorado\",2333,\"usa\",\"arizona\"],[\"colorado\",2333,\"usa\",\"nevada\"],[\"colorado\",2333,\"usa\",\"california\"],[\"ohio\",1569,\"usa\",\"pennsylvania\"],[\"ohio\",1569,\"usa\",\"west virginia\"],[\"ohio\",1569,\"usa\",\"kentucky\"],[\"ohio\",1569,\"usa\",\"indiana\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"ohio\"],[\"red\",1638,\"usa\",\"new mexico\"],[\"red\",1638,\"usa\",\"texas\"],[\"red\",1638,\"usa\",\"oklahoma\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"louisiana\"],[\"arkansas\",2333,\"usa\",\"colorado\"],[\"arkansas\",2333,\"usa\",\"kansas\"],[\"arkansas\",2333,\"usa\",\"oklahoma\"],[\"arkansas\",2333,\"usa\",\"arkansas\"],[\"canadian\",1458,\"usa\",\"colorado\"],[\"canadian\",1458,\"usa\",\"new mexico\"],[\"canadian\",1458,\"usa\",\"texas\"],[\"canadian\",1458,\"usa\",\"oklahoma\"],[\"connecticut\",655,\"usa\",\"new hampshire\"],[\"connecticut\",655,\"usa\",\"vermont\"],[\"connecticut\",655,\"usa\",\"massachusetts\"],[\"connecticut\",655,\"usa\",\"connecticut\"],[\"delaware\",451,\"usa\",\"new york\"],[\"delaware\",451,\"usa\",\"pennsylvania\"],[\"delaware\",451,\"usa\",\"new jersey\"],[\"delaware\",451,\"usa\",\"delaware\"],[\"little missouri\",901,\"usa\",\"wyoming\"],[\"little missouri\",901,\"usa\",\"montana\"],[\"little missouri\",901,\"usa\",\"south dakota\"],[\"little missouri\",901,\"usa\",\"north dakota\"],[\"snake\",1670,\"usa\",\"wyoming\"],[\"snake\",1670,\"usa\",\"idaho\"],[\"snake\",1670,\"usa\",\"oregon\"],[\"snake\",1670,\"usa\",\"washington\"],[\"snake\",1670,\"usa\",\"washington\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"florida\"],[\"cimarron\",965,\"usa\",\"new mexico\"],[\"cimarron\",965,\"usa\",\"kansas\"],[\"cimarron\",965,\"usa\",\"oklahoma\"],[\"green\",1175,\"usa\",\"wyoming\"],[\"green\",1175,\"usa\",\"utah\"],[\"green\",1175,\"usa\",\"colorado\"],[\"green\",1175,\"usa\",\"utah\"],[\"north platte\",1094,\"usa\",\"colorado\"],[\"north platte\",1094,\"usa\",\"wyoming\"],[\"north platte\",1094,\"usa\",\"nebraska\"],[\"potomac\",462,\"usa\",\"west virginia\"],[\"potomac\",462,\"usa\",\"maryland\"],[\"potomac\",462,\"usa\",\"virginia\"],[\"potomac\",462,\"usa\",\"district of columbia\"],[\"republican\",679,\"usa\",\"colorado\"],[\"republican\",679,\"usa\",\"nebraska\"],[\"republican\",679,\"usa\",\"kansas\"],[\"rio grande\",3033,\"usa\",\"colorado\"],[\"rio grande\",3033,\"usa\",\"new mexico\"],[\"rio grande\",3033,\"usa\",\"texas\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"new mexico\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"utah\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"alabama\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"kentucky\"],[\"wabash\",764,\"usa\",\"ohio\"],[\"wabash\",764,\"usa\",\"indiana\"],[\"wabash\",764,\"usa\",\"illinois\"],[\"yellowstone\",1080,\"usa\",\"wyoming\"],[\"yellowstone\",1080,\"usa\",\"montana\"],[\"yellowstone\",1080,\"usa\",\"north dakota\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"allegheny\",523,\"usa\",\"new york\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"bighorn\",541,\"usa\",\"wyoming\"],[\"bighorn\",541,\"usa\",\"montana\"],[\"cheyenne\",848,\"usa\",\"wyoming\"],[\"cheyenne\",848,\"usa\",\"north dakota\"],[\"clark fork\",483,\"usa\",\"montana\"],[\"clark fork\",483,\"usa\",\"idaho\"],[\"columbia\",1953,\"usa\",\"washington\"],[\"columbia\",1953,\"usa\",\"oregon\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"cumberland\",1105,\"usa\",\"tennessee\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"dakota\",1142,\"usa\",\"north dakota\"],[\"dakota\",1142,\"usa\",\"south dakota\"],[\"gila\",805,\"usa\",\"new mexico\"],[\"gila\",805,\"usa\",\"arizona\"],[\"hudson\",492,\"usa\",\"new york\"],[\"hudson\",492,\"usa\",\"new jersey\"],[\"neosho\",740,\"usa\",\"kansas\"],[\"neosho\",740,\"usa\",\"oklahoma\"],[\"niobrara\",693,\"usa\",\"wyoming\"],[\"niobrara\",693,\"usa\",\"nebraska\"],[\"ouachita\",973,\"usa\",\"arkansas\"],[\"ouachita\",973,\"usa\",\"louisiana\"],[\"pearl\",788,\"usa\",\"michigan\"],[\"pearl\",788,\"usa\",\"louisiana\"],[\"pecos\",805,\"usa\",\"new mexico\"],[\"pecos\",805,\"usa\",\"texas\"],[\"powder\",603,\"usa\",\"wyoming\"],[\"powder\",603,\"usa\",\"montana\"],[\"roanoke\",660,\"usa\",\"virginia\"],[\"roanoke\",660,\"usa\",\"north carolina\"],[\"rock\",459,\"usa\",\"wisconsin\"],[\"rock\",459,\"usa\",\"illinois\"],[\"smoky hill\",869,\"usa\",\"colorado\"],[\"smoky hill\",869,\"usa\",\"kansas\"],[\"south platte\",682,\"usa\",\"colorado\"],[\"south platte\",682,\"usa\",\"nebraska\"],[\"st. francis\",684,\"usa\",\"missouri\"],[\"st. francis\",684,\"usa\",\"arkansas\"],[\"tombigbee\",658,\"usa\",\"mississippi\"],[\"tombigbee\",658,\"usa\",\"alabama\"],[\"washita\",805,\"usa\",\"texas\"],[\"washita\",805,\"usa\",\"oklahoma\"],[\"wateree catawba\",636,\"usa\",\"north carolina\"],[\"wateree catawba\",636,\"usa\",\"south carolina\"],[\"white\",1110,\"usa\",\"arkansas\"],[\"white\",1110,\"usa\",\"missouri\"],[\"white\",1110,\"usa\",\"arkansas\"]]}", "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton 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city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what is the largest of the state that the rio grande runs through <table_name> : river col : river_name | length | country_name | traverse row 1 : mississippi | 3778 | usa | minnesota row 2 : mississippi | 3778 | usa | wisconsin row 3 : mississippi | 3778 | usa | iowa row 4 : mississippi | 3778 | usa | illinois row 5 : mississippi | 3778 | usa | missouri row 6 : mississippi | 3778 | usa | kentucky row 7 : mississippi | 3778 | usa | tennessee row 8 : mississippi | 3778 | usa | arkansas row 9 : mississippi | 3778 | usa | mississippi row 10 : mississippi | 3778 | usa | louisiana row 11 : mississippi | 3778 | usa | louisiana row 12 : missouri | 3968 | usa | montana row 13 : missouri | 3968 | usa | north dakota row 14 : missouri | 3968 | usa | south dakota row 15 : missouri | 3968 | usa | iowa row 16 : missouri | 3968 | usa | nebraska row 17 : missouri | 3968 | usa | missouri row 18 : missouri | 3968 | usa | missouri row 19 : colorado | 2333 | usa | colorado row 20 : colorado | 2333 | usa | utah row 21 : colorado | 2333 | usa | arizona row 22 : colorado | 2333 | usa | nevada row 23 : colorado | 2333 | usa | california row 24 : ohio | 1569 | usa | pennsylvania row 25 : ohio | 1569 | usa | west virginia row 26 : ohio | 1569 | usa | kentucky row 27 : ohio | 1569 | usa | indiana row 28 : ohio | 1569 | usa | illinois row 29 : ohio | 1569 | usa | illinois row 30 : ohio | 1569 | usa | ohio row 31 : red | 1638 | usa | new mexico row 32 : red | 1638 | usa | texas row 33 : red | 1638 | usa | oklahoma row 34 : red | 1638 | usa | arkansas row 35 : red | 1638 | usa | arkansas row 36 : red | 1638 | usa | louisiana row 37 : arkansas | 2333 | usa | colorado row 38 : arkansas | 2333 | usa | kansas row 39 : arkansas | 2333 | usa | oklahoma row 40 : arkansas | 2333 | usa | arkansas row 41 : canadian | 1458 | usa | colorado row 42 : canadian | 1458 | usa | new mexico row 43 : canadian | 1458 | usa | texas row 44 : canadian | 1458 | usa | oklahoma row 45 : connecticut | 655 | usa | new hampshire row 46 : connecticut | 655 | usa | vermont row 47 : connecticut | 655 | usa | massachusetts row 48 : connecticut | 655 | usa | connecticut row 49 : delaware | 451 | usa | new york row 50 : delaware | 451 | usa | pennsylvania row 51 : delaware | 451 | usa | new jersey row 52 : delaware | 451 | usa | delaware row 53 : little missouri | 901 | usa | wyoming row 54 : little missouri | 901 | usa | montana row 55 : little missouri | 901 | usa | south dakota row 56 : little missouri | 901 | usa | north dakota row 57 : snake | 1670 | usa | wyoming row 58 : snake | 1670 | usa | idaho row 59 : snake | 1670 | usa | oregon row 60 : snake | 1670 | usa | washington row 61 : snake | 1670 | usa | washington row 62 : chattahoochee | 702 | usa | georgia row 63 : chattahoochee | 702 | usa | georgia row 64 : chattahoochee | 702 | usa | florida row 65 : cimarron | 965 | usa | new mexico row 66 : cimarron | 965 | usa | kansas row 67 : cimarron | 965 | usa | oklahoma row 68 : green | 1175 | usa | wyoming row 69 : green | 1175 | usa | utah row 70 : green | 1175 | usa | colorado row 71 : green | 1175 | usa | utah row 72 : north platte | 1094 | usa | colorado row 73 : north platte | 1094 | usa | wyoming row 74 : north platte | 1094 | usa | nebraska row 75 : potomac | 462 | usa | west virginia row 76 : potomac | 462 | usa | maryland row 77 : potomac | 462 | usa | virginia row 78 : potomac | 462 | usa | district of columbia row 79 : republican | 679 | usa | colorado row 80 : republican | 679 | usa | nebraska row 81 : republican | 679 | usa | kansas row 82 : rio grande | 3033 | usa | colorado row 83 : rio grande | 3033 | usa | new mexico row 84 : rio grande | 3033 | usa | texas row 85 : san juan | 579 | usa | colorado row 86 : san juan | 579 | usa | new mexico row 87 : san juan | 579 | usa | colorado row 88 : san juan | 579 | usa | utah row 89 : tennessee | 1049 | usa | tennessee row 90 : tennessee | 1049 | usa | alabama row 91 : tennessee | 1049 | usa | tennessee row 92 : tennessee | 1049 | usa | kentucky row 93 : wabash | 764 | usa | ohio row 94 : wabash | 764 | usa | indiana row 95 : wabash | 764 | usa | illinois row 96 : yellowstone | 1080 | usa | wyoming row 97 : yellowstone | 1080 | usa | montana row 98 : yellowstone | 1080 | usa | north dakota row 99 : allegheny | 523 | usa | pennsylvania row 100 : allegheny | 523 | usa | new york row 101 : allegheny | 523 | usa | pennsylvania row 102 : bighorn | 541 | usa | wyoming row 103 : bighorn | 541 | usa | montana row 104 : cheyenne | 848 | usa | wyoming row 105 : cheyenne | 848 | usa | north dakota row 106 : clark fork | 483 | usa | montana row 107 : clark fork | 483 | usa | idaho row 108 : columbia | 1953 | usa | washington row 109 : columbia | 1953 | usa | oregon row 110 : cumberland | 1105 | usa | kentucky row 111 : cumberland | 1105 | usa | tennessee row 112 : cumberland | 1105 | usa | kentucky row 113 : dakota | 1142 | usa | north dakota row 114 : dakota | 1142 | usa | south dakota row 115 : gila | 805 | usa | new mexico row 116 : gila | 805 | usa | arizona row 117 : hudson | 492 | usa | new york row 118 : hudson | 492 | usa | new jersey row 119 : neosho | 740 | usa | kansas row 120 : neosho | 740 | usa | oklahoma row 121 : niobrara | 693 | usa | wyoming row 122 : niobrara | 693 | usa | nebraska row 123 : ouachita | 973 | usa | arkansas row 124 : ouachita | 973 | usa | louisiana row 125 : pearl | 788 | usa | michigan row 126 : pearl | 788 | usa | louisiana row 127 : pecos | 805 | usa | new mexico row 128 : pecos | 805 | usa | texas row 129 : powder | 603 | usa | wyoming row 130 : powder | 603 | usa | montana row 131 : roanoke | 660 | usa | virginia row 132 : roanoke | 660 | usa | north carolina row 133 : rock | 459 | usa | wisconsin row 134 : rock | 459 | usa | illinois row 135 : smoky hill | 869 | usa | colorado row 136 : smoky hill | 869 | usa | kansas row 137 : south platte | 682 | usa | colorado row 138 : south platte | 682 | usa | nebraska row 139 : st. francis | 684 | usa | missouri row 140 : st. francis | 684 | usa | arkansas row 141 : tombigbee | 658 | usa | mississippi row 142 : tombigbee | 658 | usa | alabama row 143 : washita | 805 | usa | texas row 144 : washita | 805 | usa | oklahoma row 145 : wateree catawba | 636 | usa | north carolina row 146 : wateree catawba | 636 | usa | south carolina row 147 : white | 1110 | usa | arkansas row 148 : white | 1110 | usa | missouri row 149 : white | 1110 | usa | arkansas <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : state_name row 1 : texas
SELECT state.density FROM state WHERE state.capital='austin';
what is the population density in the state with capital austin
{"columns":["density"],"index":[0],"data":[[53.3306847272]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what is the population density in the state with capital austin <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : density row 1 : 53.3306847272
SELECT state.capital FROM state WHERE state.state_name='hawaii';
what is the capital of hawaii
{"columns":["capital"],"index":[0],"data":[["honolulu"]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what is the capital of hawaii <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : capital row 1 : honolulu
SELECT state.population FROM state WHERE state.state_name='arizona';
what is the population of arizona
{"columns":["population"],"index":[0],"data":[[2718000]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what is the population of arizona <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : population row 1 : 2718000
SELECT highlow.state_name FROM highlow WHERE highlow.highest_elevation=(SELECT max(highlow.highest_elevation) FROM highlow);
what is the state that contains the highest point
{"columns":["state_name"],"index":[0],"data":[["pennsylvania"]]}
[ "highlow" ]
[ "{\"columns\":[\"state_name\",\"highest_elevation\",\"lowest_point\",\"highest_point\",\"lowest_elevation\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",\"734\",\"gulf of mexico\",\"cheaha mountain\",\"0\"],[\"alaska\",\"6194\",\"pacific ocean\",\"mount mckinley\",\"0\"],[\"arizona\",\"3851\",\"colorado river\",\"humphreys peak\",\"21\"],[\"arkansas\",\"839\",\"ouachita river\",\"magazine mountain\",\"17\"],[\"california\",\"4418\",\"death valley\",\"mount whitney\",\"-85\"],[\"colorado\",\"4399\",\"arkansas river\",\"mount elbert\",\"1021\"],[\"connecticut\",\"725\",\"long island sound\",\"mount frissell\",\"0\"],[\"delaware\",\"135\",\"atlantic ocean\",\"centerville\",\"0\"],[\"district of columbia\",\"125\",\"potomac river\",\"tenleytown\",\"0\"],[\"florida\",\"105\",\"atlantic ocean\",\"walton county\",\"0\"],[\"georgia\",\"1458\",\"atlantic ocean\",\"brasstown bald\",\"0\"],[\"hawaii\",\"4205\",\"pacific ocean\",\"mauna kea\",\"0\"],[\"idaho\",\"3859\",\"snake river\",\"borah peak\",\"216\"],[\"illinois\",\"376\",\"mississippi river\",\"charles mound\",\"85\"],[\"indiana\",\"383\",\"ohio river\",\"franklin township\",\"98\"],[\"iowa\",\"511\",\"mississippi river\",\"ocheyedan mound\",\"146\"],[\"kansas\",\"1231\",\"verdigris river\",\"mount sunflower\",\"207\"],[\"kentucky\",\"1263\",\"mississippi river\",\"black mountain\",\"78\"],[\"louisiana\",\"163\",\"new orleans\",\"driskill mountain\",\"-1\"],[\"maine\",\"1606\",\"atlantic ocean\",\"mount katahdin\",\"0\"],[\"maryland\",\"1024\",\"atlantic ocean\",\"backbone mountain\",\"0\"],[\"massachusetts\",\"1064\",\"atlantic ocean\",\"mount greylock\",\"0\"],[\"michigan\",\"604\",\"lake erie\",\"mount curwood\",\"174\"],[\"minnesota\",\"701\",\"lake superior\",\"eagle mountain\",\"183\"],[\"mississippi\",\"246\",\"gulf of mexico\",\"woodall mountain\",\"0\"],[\"missouri\",\"540\",\"st. francis river\",\"taum sauk mountain\",\"70\"],[\"montana\",\"3901\",\"kootenai river\",\"granite peak\",\"549\"],[\"nebraska\",\"1654\",\"southeast corner\",\"johnson township\",\"256\"],[\"nevada\",\"4005\",\"colorado river\",\"boundary peak\",\"143\"],[\"new hampshire\",\"1917\",\"atlantic ocean\",\"mount washington\",\"0\"],[\"new jersey\",\"550\",\"atlantic ocean\",\"high point\",\"0\"],[\"new mexico\",\"4011\",\"red bluff reservoir\",\"wheeler peak\",\"859\"],[\"new york\",\"1629\",\"atlantic ocean\",\"mount marcy\",\"0\"],[\"north carolina\",\"2037\",\"atlantic ocean\",\"mount mitchell\",\"0\"],[\"north dakota\",\"1069\",\"red river\",\"white butte\",\"229\"],[\"ohio\",\"472\",\"ohio river\",\"campbell hill\",\"132\"],[\"oklahoma\",\"1516\",\"little river\",\"black mesa\",\"87\"],[\"oregon\",\"3424\",\"pacific ocean\",\"mount hood\",\"0\"],[\"pennsylvania\",\"979\",\"delaware river\",\"mount davis\",\"0\"],[\"rhode island\",\"247\",\"atlantic ocean\",\"jerimoth hill\",\"0\"],[\"south carolina\",\"1085\",\"atlantic ocean\",\"sassafras mountain\",\"0\"],[\"south dakota\",\"2207\",\"big stone lake\",\"harney peak\",\"284\"],[\"tennessee\",\"2025\",\"mississippi river\",\"clingmans dome\",\"55\"],[\"texas\",\"2667\",\"gulf of mexico\",\"guadalupe peak\",\"0\"],[\"utah\",\"4123\",\"beaver dam creek\",\"kings peak\",\"610\"],[\"vermont\",\"1339\",\"lake champlain\",\"mount mansfield\",\"29\"],[\"virginia\",\"1746\",\"atlantic ocean\",\"mount rogers\",\"0\"],[\"washington\",\"4392\",\"pacific ocean\",\"mount rainier\",\"0\"],[\"west virginia\",\"1482\",\"potomac river\",\"spruce knob\",\"73\"],[\"wisconsin\",\"595\",\"lake michigan\",\"timms hill\",\"177\"],[\"wyoming\",\"4202\",\"belle fourche river\",\"gannett peak\",\"945\"]]}" ]
what is the state that contains the highest point <table_name> : highlow col : state_name | highest_elevation | lowest_point | highest_point | lowest_elevation row 1 : alabama | 734 | gulf of mexico | cheaha mountain | 0 row 2 : alaska | 6194 | pacific ocean | mount mckinley | 0 row 3 : arizona | 3851 | colorado river | humphreys peak | 21 row 4 : arkansas | 839 | ouachita river | magazine mountain | 17 row 5 : california | 4418 | death valley | mount whitney | -85 row 6 : colorado | 4399 | arkansas river | mount elbert | 1021 row 7 : connecticut | 725 | long island sound | mount frissell | 0 row 8 : delaware | 135 | atlantic ocean | centerville | 0 row 9 : district of columbia | 125 | potomac river | tenleytown | 0 row 10 : florida | 105 | atlantic ocean | walton county | 0 row 11 : georgia | 1458 | atlantic ocean | brasstown bald | 0 row 12 : hawaii | 4205 | pacific ocean | mauna kea | 0 row 13 : idaho | 3859 | snake river | borah peak | 216 row 14 : illinois | 376 | mississippi river | charles mound | 85 row 15 : indiana | 383 | ohio river | franklin township | 98 row 16 : iowa | 511 | mississippi river | ocheyedan mound | 146 row 17 : kansas | 1231 | verdigris river | mount sunflower | 207 row 18 : kentucky | 1263 | mississippi river | black mountain | 78 row 19 : louisiana | 163 | new orleans | driskill mountain | -1 row 20 : maine | 1606 | atlantic ocean | mount katahdin | 0 row 21 : maryland | 1024 | atlantic ocean | backbone mountain | 0 row 22 : massachusetts | 1064 | atlantic ocean | mount greylock | 0 row 23 : michigan | 604 | lake erie | mount curwood | 174 row 24 : minnesota | 701 | lake superior | eagle mountain | 183 row 25 : mississippi | 246 | gulf of mexico | woodall mountain | 0 row 26 : missouri | 540 | st. francis river | taum sauk mountain | 70 row 27 : montana | 3901 | kootenai river | granite peak | 549 row 28 : nebraska | 1654 | southeast corner | johnson township | 256 row 29 : nevada | 4005 | colorado river | boundary peak | 143 row 30 : new hampshire | 1917 | atlantic ocean | mount washington | 0 row 31 : new jersey | 550 | atlantic ocean | high point | 0 row 32 : new mexico | 4011 | red bluff reservoir | wheeler peak | 859 row 33 : new york | 1629 | atlantic ocean | mount marcy | 0 row 34 : north carolina | 2037 | atlantic ocean | mount mitchell | 0 row 35 : north dakota | 1069 | red river | white butte | 229 row 36 : ohio | 472 | ohio river | campbell hill | 132 row 37 : oklahoma | 1516 | little river | black mesa | 87 row 38 : oregon | 3424 | pacific ocean | mount hood | 0 row 39 : pennsylvania | 979 | delaware river | mount davis | 0 row 40 : rhode island | 247 | atlantic ocean | jerimoth hill | 0 row 41 : south carolina | 1085 | atlantic ocean | sassafras mountain | 0 row 42 : south dakota | 2207 | big stone lake | harney peak | 284 row 43 : tennessee | 2025 | mississippi river | clingmans dome | 55 row 44 : texas | 2667 | gulf of mexico | guadalupe peak | 0 row 45 : utah | 4123 | beaver dam creek | kings peak | 610 row 46 : vermont | 1339 | lake champlain | mount mansfield | 29 row 47 : virginia | 1746 | atlantic ocean | mount rogers | 0 row 48 : washington | 4392 | pacific ocean | mount rainier | 0 row 49 : west virginia | 1482 | potomac river | spruce knob | 73 row 50 : wisconsin | 595 | lake michigan | timms hill | 177 row 51 : wyoming | 4202 | belle fourche river | gannett peak | 945
col : state_name row 1 : pennsylvania
SELECT count(city.city_name) FROM city WHERE city.state_name='texas';
how many cities does texas have
{"columns":["count(city.city_name)"],"index":[0],"data":[[30]]}
[ "city" ]
[ 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dakota\"],[\"cleveland\",573822,\"usa\",\"ohio\"],[\"columbus\",564871,\"usa\",\"ohio\"],[\"cincinnati\",385457,\"usa\",\"ohio\"],[\"toledo\",354635,\"usa\",\"ohio\"],[\"akron\",237177,\"usa\",\"ohio\"],[\"dayton\",203371,\"usa\",\"ohio\"],[\"youngstown\",115436,\"usa\",\"ohio\"],[\"canton\",93077,\"usa\",\"ohio\"],[\"parma\",92548,\"usa\",\"ohio\"],[\"lorain\",75416,\"usa\",\"ohio\"],[\"springfield\",72563,\"usa\",\"ohio\"],[\"hamilton\",63189,\"usa\",\"ohio\"],[\"lakewood\",61963,\"usa\",\"ohio\"],[\"kettering\",61186,\"usa\",\"ohio\"],[\"euclid\",59999,\"usa\",\"ohio\"],[\"elyria\",57504,\"usa\",\"ohio\"],[\"oklahoma city\",403213,\"usa\",\"oklahoma\"],[\"tulsa\",360919,\"usa\",\"oklahoma\"],[\"lawton\",80054,\"usa\",\"oklahoma\"],[\"norman\",68020,\"usa\",\"oklahoma\"],[\"portland\",366383,\"usa\",\"oregon\"],[\"eugene\",105664,\"usa\",\"oregon\"],[\"salem\",89233,\"usa\",\"oregon\"],[\"philadelphia\",1688210,\"usa\",\"pennsylvania\"],[\"pittsburgh\",423938,\"usa\",\"pennsylvania\"],[\"erie\",119123,\"usa\",\"pennsylvania\"],[\"allentown\",103758,\"usa\",\"pennsylvania\"],[\"scranton\",88117,\"usa\",\"pennsylvania\"],[\"upper darby\",84054,\"usa\",\"pennsylvania\"],[\"reading\",78686,\"usa\",\"pennsylvania\"],[\"bethlehem\",70419,\"usa\",\"pennsylvania\"],[\"lower merion\",59651,\"usa\",\"pennsylvania\"],[\"abingdon\",59084,\"usa\",\"pennsylvania\"],[\"bristol township\",58733,\"usa\",\"pennsylvania\"],[\"penn hills\",57632,\"usa\",\"pennsylvania\"],[\"altoona\",57078,\"usa\",\"pennsylvania\"],[\"providence\",156804,\"usa\",\"rhode island\"],[\"warwick\",87123,\"usa\",\"rhode island\"],[\"cranston\",71992,\"usa\",\"rhode island\"],[\"pawtucket\",71204,\"usa\",\"rhode island\"],[\"columbia\",101229,\"usa\",\"south carolina\"],[\"charleston\",69855,\"usa\",\"south carolina\"],[\"north charleston\",62504,\"usa\",\"south carolina\"],[\"greenville\",58242,\"usa\",\"south carolina\"],[\"sioux falls\",81343,\"usa\",\"south dakota\"],[\"memphis\",646356,\"usa\",\"tennessee\"],[\"nashville\",455651,\"usa\",\"tennessee\"],[\"knoxville\",175030,\"usa\",\"tennessee\"],[\"chattanooga\",169728,\"usa\",\"tennessee\"],[\"houston\",1595138,\"usa\",\"texas\"],[\"dallas\",904078,\"usa\",\"texas\"],[\"san antonio\",785880,\"usa\",\"texas\"],[\"el paso\",425259,\"usa\",\"texas\"],[\"fort worth\",385164,\"usa\",\"texas\"],[\"austin\",345496,\"usa\",\"texas\"],[\"corpus christi\",231999,\"usa\",\"texas\"],[\"lubbock\",173979,\"usa\",\"texas\"],[\"arlington\",160123,\"usa\",\"texas\"],[\"amarillo\",149230,\"usa\",\"texas\"],[\"garland\",138857,\"usa\",\"texas\"],[\"beaumont\",118102,\"usa\",\"texas\"],[\"pasadena\",112560,\"usa\",\"texas\"],[\"irving\",109943,\"usa\",\"texas\"],[\"waco\",101261,\"usa\",\"texas\"],[\"abilene\",98315,\"usa\",\"texas\"],[\"wichita falls\",94201,\"usa\",\"texas\"],[\"laredo\",91449,\"usa\",\"texas\"],[\"odessa\",90027,\"usa\",\"texas\"],[\"brownsville\",84997,\"usa\",\"texas\"],[\"san angelo\",73240,\"usa\",\"texas\"],[\"richardson\",72496,\"usa\",\"texas\"],[\"plano\",72331,\"usa\",\"texas\"],[\"grand prairie\",71462,\"usa\",\"texas\"],[\"midland\",70525,\"usa\",\"texas\"],[\"tyler\",70508,\"usa\",\"texas\"],[\"mesquite\",67053,\"usa\",\"texas\"],[\"mcallen\",67042,\"usa\",\"texas\"],[\"longview\",62762,\"usa\",\"texas\"],[\"port arthur\",61195,\"usa\",\"texas\"],[\"salt lake city\",163034,\"usa\",\"utah\"],[\"provo\",74111,\"usa\",\"utah\"],[\"west valley\",72299,\"usa\",\"utah\"],[\"ogden\",64407,\"usa\",\"utah\"],[\"norfolk\",266979,\"usa\",\"virginia\"],[\"virginia beach\",262199,\"usa\",\"virginia\"],[\"richmond\",219214,\"usa\",\"virginia\"],[\"arlington\",152599,\"usa\",\"virginia\"],[\"newport news\",144903,\"usa\",\"virginia\"],[\"hampton\",122617,\"usa\",\"virginia\"],[\"chesapeake\",114226,\"usa\",\"virginia\"],[\"portsmouth\",104577,\"usa\",\"virginia\"],[\"alexandria\",103217,\"usa\",\"virginia\"],[\"roanoke\",100427,\"usa\",\"virginia\"],[\"lynchburg\",66743,\"usa\",\"virginia\"],[\"seattle\",493846,\"usa\",\"washington\"],[\"spokane\",171300,\"usa\",\"washington\"],[\"tacoma\",158501,\"usa\",\"washington\"],[\"bellevue\",73903,\"usa\",\"washington\"],[\"charleston\",63968,\"usa\",\"west virginia\"],[\"huntington\",63684,\"usa\",\"west virginia\"],[\"milwaukee\",636212,\"usa\",\"wisconsin\"],[\"madison\",170616,\"usa\",\"wisconsin\"],[\"green bay\",87899,\"usa\",\"wisconsin\"],[\"racine\",85725,\"usa\",\"wisconsin\"],[\"kenosha\",77685,\"usa\",\"wisconsin\"],[\"west allis\",63982,\"usa\",\"wisconsin\"],[\"appleton\",58913,\"usa\",\"wisconsin\"],[\"casper\",51016,\"usa\",\"wyoming\"]]}" ]
how many cities does texas have <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : count(city.city_name) row 1 : 30
SELECT state.capital FROM state WHERE state.area=(SELECT max(state.area) FROM state);
what is the capital city of the largest state in the us
{"columns":["capital"],"index":[0],"data":[["juneau"]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what is the capital city of the largest state in the us <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : capital row 1 : juneau
SELECT city.city_name FROM city WHERE city.population=(SELECT max(city.population) FROM city,state WHERE city.city_name=state.capital);
what is largest capital
{"columns":["city_name"],"index":[0],"data":[["phoenix"]]}
[ "city" ]
[ 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rock\",158915,\"usa\",\"arkansas\"],[\"fort smith\",71384,\"usa\",\"arkansas\"],[\"north little rock\",64388,\"usa\",\"arkansas\"],[\"los angeles\",2966850,\"usa\",\"california\"],[\"san diego\",875538,\"usa\",\"california\"],[\"san francisco\",678974,\"usa\",\"california\"],[\"san jose\",629442,\"usa\",\"california\"],[\"long beach\",361334,\"usa\",\"california\"],[\"oakland\",339337,\"usa\",\"california\"],[\"sacramento\",275741,\"usa\",\"california\"],[\"anaheim\",219311,\"usa\",\"california\"],[\"fresno\",218202,\"usa\",\"california\"],[\"santa ana\",203713,\"usa\",\"california\"],[\"riverside\",170876,\"usa\",\"california\"],[\"huntington beach\",170505,\"usa\",\"california\"],[\"stockton\",149779,\"usa\",\"california\"],[\"glendale\",139060,\"usa\",\"california\"],[\"fremont\",131945,\"usa\",\"california\"],[\"torrance\",131497,\"usa\",\"california\"],[\"garden grove\",123351,\"usa\",\"california\"],[\"san 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paul\",270230,\"usa\",\"minnesota\"],[\"duluth\",92811,\"usa\",\"minnesota\"],[\"bloomington\",81831,\"usa\",\"minnesota\"],[\"rochester\",57906,\"usa\",\"minnesota\"],[\"jackson\",202895,\"usa\",\"mississippi\"],[\"st. louis\",453085,\"usa\",\"missouri\"],[\"kansas city\",448159,\"usa\",\"missouri\"],[\"springfield\",133116,\"usa\",\"missouri\"],[\"independence\",111797,\"usa\",\"missouri\"],[\"st. joseph\",76691,\"usa\",\"missouri\"],[\"columbia\",62061,\"usa\",\"missouri\"],[\"billings\",66842,\"usa\",\"montana\"],[\"great falls\",56725,\"usa\",\"montana\"],[\"omaha\",314255,\"usa\",\"nebraska\"],[\"lincoln\",171932,\"usa\",\"nebraska\"],[\"las vegas\",164674,\"usa\",\"nevada\"],[\"reno\",100756,\"usa\",\"nevada\"],[\"manchester\",90936,\"usa\",\"new hampshire\"],[\"nashua\",67865,\"usa\",\"new hampshire\"],[\"newark\",329248,\"usa\",\"new jersey\"],[\"jersey city\",223532,\"usa\",\"new jersey\"],[\"paterson\",137970,\"usa\",\"new jersey\"],[\"elizabeth\",106201,\"usa\",\"new jersey\"],[\"trenton\",92124,\"usa\",\"new jersey\"],[\"woodbridge\",90074,\"usa\",\"new jersey\"],[\"camden\",84910,\"usa\",\"new jersey\"],[\"east orange\",77878,\"usa\",\"new jersey\"],[\"clifton\",74388,\"usa\",\"new jersey\"],[\"edison\",70193,\"usa\",\"new jersey\"],[\"cherry hill\",68785,\"usa\",\"new jersey\"],[\"bayonne\",65047,\"usa\",\"new jersey\"],[\"middletown\",61615,\"usa\",\"new jersey\"],[\"irvington\",61493,\"usa\",\"new jersey\"],[\"albuquerque\",331767,\"usa\",\"new mexico\"],[\"new york\",7071639,\"usa\",\"new york\"],[\"buffalo\",357870,\"usa\",\"new york\"],[\"rochester\",241741,\"usa\",\"new york\"],[\"yonkers\",195351,\"usa\",\"new york\"],[\"syracuse\",170105,\"usa\",\"new york\"],[\"albany\",101727,\"usa\",\"new york\"],[\"cheektowaga\",92145,\"usa\",\"new york\"],[\"utica\",75632,\"usa\",\"new york\"],[\"niagara falls\",71384,\"usa\",\"new york\"],[\"new rochelle\",70794,\"usa\",\"new york\"],[\"schenectady\",67972,\"usa\",\"new york\"],[\"mount vernon\",66713,\"usa\",\"new york\"],[\"irondequoit\",57648,\"usa\",\"new york\"],[\"levittown\",57045,\"usa\",\"new york\"],[\"charlotte\",314447,\"usa\",\"north carolina\"],[\"greensboro\",155642,\"usa\",\"north carolina\"],[\"raleigh\",149771,\"usa\",\"north carolina\"],[\"winston-salem\",131885,\"usa\",\"north carolina\"],[\"durham\",100538,\"usa\",\"north carolina\"],[\"high point\",64107,\"usa\",\"north carolina\"],[\"fayetteville\",59507,\"usa\",\"north carolina\"],[\"fargo\",61308,\"usa\",\"north dakota\"],[\"cleveland\",573822,\"usa\",\"ohio\"],[\"columbus\",564871,\"usa\",\"ohio\"],[\"cincinnati\",385457,\"usa\",\"ohio\"],[\"toledo\",354635,\"usa\",\"ohio\"],[\"akron\",237177,\"usa\",\"ohio\"],[\"dayton\",203371,\"usa\",\"ohio\"],[\"youngstown\",115436,\"usa\",\"ohio\"],[\"canton\",93077,\"usa\",\"ohio\"],[\"parma\",92548,\"usa\",\"ohio\"],[\"lorain\",75416,\"usa\",\"ohio\"],[\"springfield\",72563,\"usa\",\"ohio\"],[\"hamilton\",63189,\"usa\",\"ohio\"],[\"lakewood\",61963,\"usa\",\"ohio\"],[\"kettering\",61186,\"usa\",\"ohio\"],[\"euclid\",59999,\"usa\",\"ohio\"],[\"elyria\",57504,\"usa\",\"ohio\"],[\"oklahoma 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island\"],[\"cranston\",71992,\"usa\",\"rhode island\"],[\"pawtucket\",71204,\"usa\",\"rhode island\"],[\"columbia\",101229,\"usa\",\"south carolina\"],[\"charleston\",69855,\"usa\",\"south carolina\"],[\"north charleston\",62504,\"usa\",\"south carolina\"],[\"greenville\",58242,\"usa\",\"south carolina\"],[\"sioux falls\",81343,\"usa\",\"south dakota\"],[\"memphis\",646356,\"usa\",\"tennessee\"],[\"nashville\",455651,\"usa\",\"tennessee\"],[\"knoxville\",175030,\"usa\",\"tennessee\"],[\"chattanooga\",169728,\"usa\",\"tennessee\"],[\"houston\",1595138,\"usa\",\"texas\"],[\"dallas\",904078,\"usa\",\"texas\"],[\"san antonio\",785880,\"usa\",\"texas\"],[\"el paso\",425259,\"usa\",\"texas\"],[\"fort worth\",385164,\"usa\",\"texas\"],[\"austin\",345496,\"usa\",\"texas\"],[\"corpus christi\",231999,\"usa\",\"texas\"],[\"lubbock\",173979,\"usa\",\"texas\"],[\"arlington\",160123,\"usa\",\"texas\"],[\"amarillo\",149230,\"usa\",\"texas\"],[\"garland\",138857,\"usa\",\"texas\"],[\"beaumont\",118102,\"usa\",\"texas\"],[\"pasadena\",112560,\"usa\",\"texas\"],[\"irving\",109943,\"usa\",\"texas\"],[\"waco\",101261,\"usa\",\"texas\"],[\"abilene\",98315,\"usa\",\"texas\"],[\"wichita falls\",94201,\"usa\",\"texas\"],[\"laredo\",91449,\"usa\",\"texas\"],[\"odessa\",90027,\"usa\",\"texas\"],[\"brownsville\",84997,\"usa\",\"texas\"],[\"san angelo\",73240,\"usa\",\"texas\"],[\"richardson\",72496,\"usa\",\"texas\"],[\"plano\",72331,\"usa\",\"texas\"],[\"grand prairie\",71462,\"usa\",\"texas\"],[\"midland\",70525,\"usa\",\"texas\"],[\"tyler\",70508,\"usa\",\"texas\"],[\"mesquite\",67053,\"usa\",\"texas\"],[\"mcallen\",67042,\"usa\",\"texas\"],[\"longview\",62762,\"usa\",\"texas\"],[\"port arthur\",61195,\"usa\",\"texas\"],[\"salt lake 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what is largest capital <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : city_name row 1 : phoenix
SELECT river.length FROM river WHERE river.length=(SELECT min(river.length) FROM river);
how long is the shortest river in the usa
{"columns":["length"],"index":[0,1,2,3],"data":[[451],[451],[451],[451]]}
[ "river" ]
[ "{\"columns\":[\"river_name\",\"length\",\"country_name\",\"traverse\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148],\"data\":[[\"mississippi\",3778,\"usa\",\"minnesota\"],[\"mississippi\",3778,\"usa\",\"wisconsin\"],[\"mississippi\",3778,\"usa\",\"iowa\"],[\"mississippi\",3778,\"usa\",\"illinois\"],[\"mississippi\",3778,\"usa\",\"missouri\"],[\"mississippi\",3778,\"usa\",\"kentucky\"],[\"mississippi\",3778,\"usa\",\"tennessee\"],[\"mississippi\",3778,\"usa\",\"arkansas\"],[\"mississippi\",3778,\"usa\",\"mississippi\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"missouri\",3968,\"usa\",\"montana\"],[\"missouri\",3968,\"usa\",\"north dakota\"],[\"missouri\",3968,\"usa\",\"south dakota\"],[\"missouri\",3968,\"usa\",\"iowa\"],[\"missouri\",3968,\"usa\",\"nebraska\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"colorado\",2333,\"usa\",\"colorado\"],[\"colorado\",2333,\"usa\",\"utah\"],[\"colorado\",2333,\"usa\",\"arizona\"],[\"colorado\",2333,\"usa\",\"nevada\"],[\"colorado\",2333,\"usa\",\"california\"],[\"ohio\",1569,\"usa\",\"pennsylvania\"],[\"ohio\",1569,\"usa\",\"west virginia\"],[\"ohio\",1569,\"usa\",\"kentucky\"],[\"ohio\",1569,\"usa\",\"indiana\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"ohio\"],[\"red\",1638,\"usa\",\"new mexico\"],[\"red\",1638,\"usa\",\"texas\"],[\"red\",1638,\"usa\",\"oklahoma\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"louisiana\"],[\"arkansas\",2333,\"usa\",\"colorado\"],[\"arkansas\",2333,\"usa\",\"kansas\"],[\"arkansas\",2333,\"usa\",\"oklahoma\"],[\"arkansas\",2333,\"usa\",\"arkansas\"],[\"canadian\",1458,\"usa\",\"colorado\"],[\"canadian\",1458,\"usa\",\"new mexico\"],[\"canadian\",1458,\"usa\",\"texas\"],[\"canadian\",1458,\"usa\",\"oklahoma\"],[\"connecticut\",655,\"usa\",\"new hampshire\"],[\"connecticut\",655,\"usa\",\"vermont\"],[\"connecticut\",655,\"usa\",\"massachusetts\"],[\"connecticut\",655,\"usa\",\"connecticut\"],[\"delaware\",451,\"usa\",\"new york\"],[\"delaware\",451,\"usa\",\"pennsylvania\"],[\"delaware\",451,\"usa\",\"new jersey\"],[\"delaware\",451,\"usa\",\"delaware\"],[\"little missouri\",901,\"usa\",\"wyoming\"],[\"little missouri\",901,\"usa\",\"montana\"],[\"little missouri\",901,\"usa\",\"south dakota\"],[\"little missouri\",901,\"usa\",\"north dakota\"],[\"snake\",1670,\"usa\",\"wyoming\"],[\"snake\",1670,\"usa\",\"idaho\"],[\"snake\",1670,\"usa\",\"oregon\"],[\"snake\",1670,\"usa\",\"washington\"],[\"snake\",1670,\"usa\",\"washington\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"florida\"],[\"cimarron\",965,\"usa\",\"new mexico\"],[\"cimarron\",965,\"usa\",\"kansas\"],[\"cimarron\",965,\"usa\",\"oklahoma\"],[\"green\",1175,\"usa\",\"wyoming\"],[\"green\",1175,\"usa\",\"utah\"],[\"green\",1175,\"usa\",\"colorado\"],[\"green\",1175,\"usa\",\"utah\"],[\"north platte\",1094,\"usa\",\"colorado\"],[\"north platte\",1094,\"usa\",\"wyoming\"],[\"north platte\",1094,\"usa\",\"nebraska\"],[\"potomac\",462,\"usa\",\"west virginia\"],[\"potomac\",462,\"usa\",\"maryland\"],[\"potomac\",462,\"usa\",\"virginia\"],[\"potomac\",462,\"usa\",\"district of columbia\"],[\"republican\",679,\"usa\",\"colorado\"],[\"republican\",679,\"usa\",\"nebraska\"],[\"republican\",679,\"usa\",\"kansas\"],[\"rio grande\",3033,\"usa\",\"colorado\"],[\"rio grande\",3033,\"usa\",\"new mexico\"],[\"rio grande\",3033,\"usa\",\"texas\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"new mexico\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"utah\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"alabama\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"kentucky\"],[\"wabash\",764,\"usa\",\"ohio\"],[\"wabash\",764,\"usa\",\"indiana\"],[\"wabash\",764,\"usa\",\"illinois\"],[\"yellowstone\",1080,\"usa\",\"wyoming\"],[\"yellowstone\",1080,\"usa\",\"montana\"],[\"yellowstone\",1080,\"usa\",\"north dakota\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"allegheny\",523,\"usa\",\"new york\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"bighorn\",541,\"usa\",\"wyoming\"],[\"bighorn\",541,\"usa\",\"montana\"],[\"cheyenne\",848,\"usa\",\"wyoming\"],[\"cheyenne\",848,\"usa\",\"north dakota\"],[\"clark fork\",483,\"usa\",\"montana\"],[\"clark fork\",483,\"usa\",\"idaho\"],[\"columbia\",1953,\"usa\",\"washington\"],[\"columbia\",1953,\"usa\",\"oregon\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"cumberland\",1105,\"usa\",\"tennessee\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"dakota\",1142,\"usa\",\"north dakota\"],[\"dakota\",1142,\"usa\",\"south dakota\"],[\"gila\",805,\"usa\",\"new mexico\"],[\"gila\",805,\"usa\",\"arizona\"],[\"hudson\",492,\"usa\",\"new york\"],[\"hudson\",492,\"usa\",\"new jersey\"],[\"neosho\",740,\"usa\",\"kansas\"],[\"neosho\",740,\"usa\",\"oklahoma\"],[\"niobrara\",693,\"usa\",\"wyoming\"],[\"niobrara\",693,\"usa\",\"nebraska\"],[\"ouachita\",973,\"usa\",\"arkansas\"],[\"ouachita\",973,\"usa\",\"louisiana\"],[\"pearl\",788,\"usa\",\"michigan\"],[\"pearl\",788,\"usa\",\"louisiana\"],[\"pecos\",805,\"usa\",\"new mexico\"],[\"pecos\",805,\"usa\",\"texas\"],[\"powder\",603,\"usa\",\"wyoming\"],[\"powder\",603,\"usa\",\"montana\"],[\"roanoke\",660,\"usa\",\"virginia\"],[\"roanoke\",660,\"usa\",\"north carolina\"],[\"rock\",459,\"usa\",\"wisconsin\"],[\"rock\",459,\"usa\",\"illinois\"],[\"smoky hill\",869,\"usa\",\"colorado\"],[\"smoky hill\",869,\"usa\",\"kansas\"],[\"south platte\",682,\"usa\",\"colorado\"],[\"south platte\",682,\"usa\",\"nebraska\"],[\"st. francis\",684,\"usa\",\"missouri\"],[\"st. francis\",684,\"usa\",\"arkansas\"],[\"tombigbee\",658,\"usa\",\"mississippi\"],[\"tombigbee\",658,\"usa\",\"alabama\"],[\"washita\",805,\"usa\",\"texas\"],[\"washita\",805,\"usa\",\"oklahoma\"],[\"wateree catawba\",636,\"usa\",\"north carolina\"],[\"wateree catawba\",636,\"usa\",\"south carolina\"],[\"white\",1110,\"usa\",\"arkansas\"],[\"white\",1110,\"usa\",\"missouri\"],[\"white\",1110,\"usa\",\"arkansas\"]]}" ]
how long is the shortest river in the usa <table_name> : river col : river_name | length | country_name | traverse row 1 : mississippi | 3778 | usa | minnesota row 2 : mississippi | 3778 | usa | wisconsin row 3 : mississippi | 3778 | usa | iowa row 4 : mississippi | 3778 | usa | illinois row 5 : mississippi | 3778 | usa | missouri row 6 : mississippi | 3778 | usa | kentucky row 7 : mississippi | 3778 | usa | tennessee row 8 : mississippi | 3778 | usa | arkansas row 9 : mississippi | 3778 | usa | mississippi row 10 : mississippi | 3778 | usa | louisiana row 11 : mississippi | 3778 | usa | louisiana row 12 : missouri | 3968 | usa | montana row 13 : missouri | 3968 | usa | north dakota row 14 : missouri | 3968 | usa | south dakota row 15 : missouri | 3968 | usa | iowa row 16 : missouri | 3968 | usa | nebraska row 17 : missouri | 3968 | usa | missouri row 18 : missouri | 3968 | usa | missouri row 19 : colorado | 2333 | usa | colorado row 20 : colorado | 2333 | usa | utah row 21 : colorado | 2333 | usa | arizona row 22 : colorado | 2333 | usa | nevada row 23 : colorado | 2333 | usa | california row 24 : ohio | 1569 | usa | pennsylvania row 25 : ohio | 1569 | usa | west virginia row 26 : ohio | 1569 | usa | kentucky row 27 : ohio | 1569 | usa | indiana row 28 : ohio | 1569 | usa | illinois row 29 : ohio | 1569 | usa | illinois row 30 : ohio | 1569 | usa | ohio row 31 : red | 1638 | usa | new mexico row 32 : red | 1638 | usa | texas row 33 : red | 1638 | usa | oklahoma row 34 : red | 1638 | usa | arkansas row 35 : red | 1638 | usa | arkansas row 36 : red | 1638 | usa | louisiana row 37 : arkansas | 2333 | usa | colorado row 38 : arkansas | 2333 | usa | kansas row 39 : arkansas | 2333 | usa | oklahoma row 40 : arkansas | 2333 | usa | arkansas row 41 : canadian | 1458 | usa | colorado row 42 : canadian | 1458 | usa | new mexico row 43 : canadian | 1458 | usa | texas row 44 : canadian | 1458 | usa | oklahoma row 45 : connecticut | 655 | usa | new hampshire row 46 : connecticut | 655 | usa | vermont row 47 : connecticut | 655 | usa | massachusetts row 48 : connecticut | 655 | usa | connecticut row 49 : delaware | 451 | usa | new york row 50 : delaware | 451 | usa | pennsylvania row 51 : delaware | 451 | usa | new jersey row 52 : delaware | 451 | usa | delaware row 53 : little missouri | 901 | usa | wyoming row 54 : little missouri | 901 | usa | montana row 55 : little missouri | 901 | usa | south dakota row 56 : little missouri | 901 | usa | north dakota row 57 : snake | 1670 | usa | wyoming row 58 : snake | 1670 | usa | idaho row 59 : snake | 1670 | usa | oregon row 60 : snake | 1670 | usa | washington row 61 : snake | 1670 | usa | washington row 62 : chattahoochee | 702 | usa | georgia row 63 : chattahoochee | 702 | usa | georgia row 64 : chattahoochee | 702 | usa | florida row 65 : cimarron | 965 | usa | new mexico row 66 : cimarron | 965 | usa | kansas row 67 : cimarron | 965 | usa | oklahoma row 68 : green | 1175 | usa | wyoming row 69 : green | 1175 | usa | utah row 70 : green | 1175 | usa | colorado row 71 : green | 1175 | usa | utah row 72 : north platte | 1094 | usa | colorado row 73 : north platte | 1094 | usa | wyoming row 74 : north platte | 1094 | usa | nebraska row 75 : potomac | 462 | usa | west virginia row 76 : potomac | 462 | usa | maryland row 77 : potomac | 462 | usa | virginia row 78 : potomac | 462 | usa | district of columbia row 79 : republican | 679 | usa | colorado row 80 : republican | 679 | usa | nebraska row 81 : republican | 679 | usa | kansas row 82 : rio grande | 3033 | usa | colorado row 83 : rio grande | 3033 | usa | new mexico row 84 : rio grande | 3033 | usa | texas row 85 : san juan | 579 | usa | colorado row 86 : san juan | 579 | usa | new mexico row 87 : san juan | 579 | usa | colorado row 88 : san juan | 579 | usa | utah row 89 : tennessee | 1049 | usa | tennessee row 90 : tennessee | 1049 | usa | alabama row 91 : tennessee | 1049 | usa | tennessee row 92 : tennessee | 1049 | usa | kentucky row 93 : wabash | 764 | usa | ohio row 94 : wabash | 764 | usa | indiana row 95 : wabash | 764 | usa | illinois row 96 : yellowstone | 1080 | usa | wyoming row 97 : yellowstone | 1080 | usa | montana row 98 : yellowstone | 1080 | usa | north dakota row 99 : allegheny | 523 | usa | pennsylvania row 100 : allegheny | 523 | usa | new york row 101 : allegheny | 523 | usa | pennsylvania row 102 : bighorn | 541 | usa | wyoming row 103 : bighorn | 541 | usa | montana row 104 : cheyenne | 848 | usa | wyoming row 105 : cheyenne | 848 | usa | north dakota row 106 : clark fork | 483 | usa | montana row 107 : clark fork | 483 | usa | idaho row 108 : columbia | 1953 | usa | washington row 109 : columbia | 1953 | usa | oregon row 110 : cumberland | 1105 | usa | kentucky row 111 : cumberland | 1105 | usa | tennessee row 112 : cumberland | 1105 | usa | kentucky row 113 : dakota | 1142 | usa | north dakota row 114 : dakota | 1142 | usa | south dakota row 115 : gila | 805 | usa | new mexico row 116 : gila | 805 | usa | arizona row 117 : hudson | 492 | usa | new york row 118 : hudson | 492 | usa | new jersey row 119 : neosho | 740 | usa | kansas row 120 : neosho | 740 | usa | oklahoma row 121 : niobrara | 693 | usa | wyoming row 122 : niobrara | 693 | usa | nebraska row 123 : ouachita | 973 | usa | arkansas row 124 : ouachita | 973 | usa | louisiana row 125 : pearl | 788 | usa | michigan row 126 : pearl | 788 | usa | louisiana row 127 : pecos | 805 | usa | new mexico row 128 : pecos | 805 | usa | texas row 129 : powder | 603 | usa | wyoming row 130 : powder | 603 | usa | montana row 131 : roanoke | 660 | usa | virginia row 132 : roanoke | 660 | usa | north carolina row 133 : rock | 459 | usa | wisconsin row 134 : rock | 459 | usa | illinois row 135 : smoky hill | 869 | usa | colorado row 136 : smoky hill | 869 | usa | kansas row 137 : south platte | 682 | usa | colorado row 138 : south platte | 682 | usa | nebraska row 139 : st. francis | 684 | usa | missouri row 140 : st. francis | 684 | usa | arkansas row 141 : tombigbee | 658 | usa | mississippi row 142 : tombigbee | 658 | usa | alabama row 143 : washita | 805 | usa | texas row 144 : washita | 805 | usa | oklahoma row 145 : wateree catawba | 636 | usa | north carolina row 146 : wateree catawba | 636 | usa | south carolina row 147 : white | 1110 | usa | arkansas row 148 : white | 1110 | usa | missouri row 149 : white | 1110 | usa | arkansas
col : length row 1 : 451 row 2 : 451 row 3 : 451 row 4 : 451
SELECT city.population FROM city WHERE city.city_name=(SELECT state.capital FROM state WHERE state.state_name = 'texas');
what is the size of the capital of texas
{"columns":["population"],"index":[0],"data":[[345496]]}
[ "city", "state" ]
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christi\",231999,\"usa\",\"texas\"],[\"lubbock\",173979,\"usa\",\"texas\"],[\"arlington\",160123,\"usa\",\"texas\"],[\"amarillo\",149230,\"usa\",\"texas\"],[\"garland\",138857,\"usa\",\"texas\"],[\"beaumont\",118102,\"usa\",\"texas\"],[\"pasadena\",112560,\"usa\",\"texas\"],[\"irving\",109943,\"usa\",\"texas\"],[\"waco\",101261,\"usa\",\"texas\"],[\"abilene\",98315,\"usa\",\"texas\"],[\"wichita falls\",94201,\"usa\",\"texas\"],[\"laredo\",91449,\"usa\",\"texas\"],[\"odessa\",90027,\"usa\",\"texas\"],[\"brownsville\",84997,\"usa\",\"texas\"],[\"san angelo\",73240,\"usa\",\"texas\"],[\"richardson\",72496,\"usa\",\"texas\"],[\"plano\",72331,\"usa\",\"texas\"],[\"grand prairie\",71462,\"usa\",\"texas\"],[\"midland\",70525,\"usa\",\"texas\"],[\"tyler\",70508,\"usa\",\"texas\"],[\"mesquite\",67053,\"usa\",\"texas\"],[\"mcallen\",67042,\"usa\",\"texas\"],[\"longview\",62762,\"usa\",\"texas\"],[\"port arthur\",61195,\"usa\",\"texas\"],[\"salt lake city\",163034,\"usa\",\"utah\"],[\"provo\",74111,\"usa\",\"utah\"],[\"west valley\",72299,\"usa\",\"utah\"],[\"ogden\",64407,\"usa\",\"utah\"],[\"norfolk\",266979,\"usa\",\"virginia\"],[\"virginia beach\",262199,\"usa\",\"virginia\"],[\"richmond\",219214,\"usa\",\"virginia\"],[\"arlington\",152599,\"usa\",\"virginia\"],[\"newport news\",144903,\"usa\",\"virginia\"],[\"hampton\",122617,\"usa\",\"virginia\"],[\"chesapeake\",114226,\"usa\",\"virginia\"],[\"portsmouth\",104577,\"usa\",\"virginia\"],[\"alexandria\",103217,\"usa\",\"virginia\"],[\"roanoke\",100427,\"usa\",\"virginia\"],[\"lynchburg\",66743,\"usa\",\"virginia\"],[\"seattle\",493846,\"usa\",\"washington\"],[\"spokane\",171300,\"usa\",\"washington\"],[\"tacoma\",158501,\"usa\",\"washington\"],[\"bellevue\",73903,\"usa\",\"washington\"],[\"charleston\",63968,\"usa\",\"west virginia\"],[\"huntington\",63684,\"usa\",\"west virginia\"],[\"milwaukee\",636212,\"usa\",\"wisconsin\"],[\"madison\",170616,\"usa\",\"wisconsin\"],[\"green bay\",87899,\"usa\",\"wisconsin\"],[\"racine\",85725,\"usa\",\"wisconsin\"],[\"kenosha\",77685,\"usa\",\"wisconsin\"],[\"west allis\",63982,\"usa\",\"wisconsin\"],[\"appleton\",58913,\"usa\",\"wisconsin\"],[\"casper\",51016,\"usa\",\"wyoming\"]]}", "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what is the size of the capital of texas <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : population row 1 : 345496
SELECT city.population FROM city WHERE city.city_name='austin' AND city.state_name='texas';
what is the population of austin texas
{"columns":["population"],"index":[0],"data":[[345496]]}
[ "city" ]
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paul\",270230,\"usa\",\"minnesota\"],[\"duluth\",92811,\"usa\",\"minnesota\"],[\"bloomington\",81831,\"usa\",\"minnesota\"],[\"rochester\",57906,\"usa\",\"minnesota\"],[\"jackson\",202895,\"usa\",\"mississippi\"],[\"st. louis\",453085,\"usa\",\"missouri\"],[\"kansas city\",448159,\"usa\",\"missouri\"],[\"springfield\",133116,\"usa\",\"missouri\"],[\"independence\",111797,\"usa\",\"missouri\"],[\"st. joseph\",76691,\"usa\",\"missouri\"],[\"columbia\",62061,\"usa\",\"missouri\"],[\"billings\",66842,\"usa\",\"montana\"],[\"great falls\",56725,\"usa\",\"montana\"],[\"omaha\",314255,\"usa\",\"nebraska\"],[\"lincoln\",171932,\"usa\",\"nebraska\"],[\"las vegas\",164674,\"usa\",\"nevada\"],[\"reno\",100756,\"usa\",\"nevada\"],[\"manchester\",90936,\"usa\",\"new hampshire\"],[\"nashua\",67865,\"usa\",\"new hampshire\"],[\"newark\",329248,\"usa\",\"new jersey\"],[\"jersey city\",223532,\"usa\",\"new jersey\"],[\"paterson\",137970,\"usa\",\"new jersey\"],[\"elizabeth\",106201,\"usa\",\"new jersey\"],[\"trenton\",92124,\"usa\",\"new jersey\"],[\"woodbridge\",90074,\"usa\",\"new jersey\"],[\"camden\",84910,\"usa\",\"new jersey\"],[\"east orange\",77878,\"usa\",\"new jersey\"],[\"clifton\",74388,\"usa\",\"new jersey\"],[\"edison\",70193,\"usa\",\"new jersey\"],[\"cherry hill\",68785,\"usa\",\"new jersey\"],[\"bayonne\",65047,\"usa\",\"new jersey\"],[\"middletown\",61615,\"usa\",\"new jersey\"],[\"irvington\",61493,\"usa\",\"new jersey\"],[\"albuquerque\",331767,\"usa\",\"new mexico\"],[\"new york\",7071639,\"usa\",\"new york\"],[\"buffalo\",357870,\"usa\",\"new york\"],[\"rochester\",241741,\"usa\",\"new york\"],[\"yonkers\",195351,\"usa\",\"new york\"],[\"syracuse\",170105,\"usa\",\"new york\"],[\"albany\",101727,\"usa\",\"new york\"],[\"cheektowaga\",92145,\"usa\",\"new york\"],[\"utica\",75632,\"usa\",\"new york\"],[\"niagara falls\",71384,\"usa\",\"new york\"],[\"new rochelle\",70794,\"usa\",\"new york\"],[\"schenectady\",67972,\"usa\",\"new york\"],[\"mount vernon\",66713,\"usa\",\"new york\"],[\"irondequoit\",57648,\"usa\",\"new york\"],[\"levittown\",57045,\"usa\",\"new york\"],[\"charlotte\",314447,\"usa\",\"north carolina\"],[\"greensboro\",155642,\"usa\",\"north carolina\"],[\"raleigh\",149771,\"usa\",\"north carolina\"],[\"winston-salem\",131885,\"usa\",\"north carolina\"],[\"durham\",100538,\"usa\",\"north carolina\"],[\"high point\",64107,\"usa\",\"north carolina\"],[\"fayetteville\",59507,\"usa\",\"north carolina\"],[\"fargo\",61308,\"usa\",\"north dakota\"],[\"cleveland\",573822,\"usa\",\"ohio\"],[\"columbus\",564871,\"usa\",\"ohio\"],[\"cincinnati\",385457,\"usa\",\"ohio\"],[\"toledo\",354635,\"usa\",\"ohio\"],[\"akron\",237177,\"usa\",\"ohio\"],[\"dayton\",203371,\"usa\",\"ohio\"],[\"youngstown\",115436,\"usa\",\"ohio\"],[\"canton\",93077,\"usa\",\"ohio\"],[\"parma\",92548,\"usa\",\"ohio\"],[\"lorain\",75416,\"usa\",\"ohio\"],[\"springfield\",72563,\"usa\",\"ohio\"],[\"hamilton\",63189,\"usa\",\"ohio\"],[\"lakewood\",61963,\"usa\",\"ohio\"],[\"kettering\",61186,\"usa\",\"ohio\"],[\"euclid\",59999,\"usa\",\"ohio\"],[\"elyria\",57504,\"usa\",\"ohio\"],[\"oklahoma city\",403213,\"usa\",\"oklahoma\"],[\"tulsa\",360919,\"usa\",\"oklahoma\"],[\"lawton\",80054,\"usa\",\"oklahoma\"],[\"norman\",68020,\"usa\",\"oklahoma\"],[\"portland\",366383,\"usa\",\"oregon\"],[\"eugene\",105664,\"usa\",\"oregon\"],[\"salem\",89233,\"usa\",\"oregon\"],[\"philadelphia\",1688210,\"usa\",\"pennsylvania\"],[\"pittsburgh\",423938,\"usa\",\"pennsylvania\"],[\"erie\",119123,\"usa\",\"pennsylvania\"],[\"allentown\",103758,\"usa\",\"pennsylvania\"],[\"scranton\",88117,\"usa\",\"pennsylvania\"],[\"upper darby\",84054,\"usa\",\"pennsylvania\"],[\"reading\",78686,\"usa\",\"pennsylvania\"],[\"bethlehem\",70419,\"usa\",\"pennsylvania\"],[\"lower merion\",59651,\"usa\",\"pennsylvania\"],[\"abingdon\",59084,\"usa\",\"pennsylvania\"],[\"bristol township\",58733,\"usa\",\"pennsylvania\"],[\"penn hills\",57632,\"usa\",\"pennsylvania\"],[\"altoona\",57078,\"usa\",\"pennsylvania\"],[\"providence\",156804,\"usa\",\"rhode island\"],[\"warwick\",87123,\"usa\",\"rhode island\"],[\"cranston\",71992,\"usa\",\"rhode island\"],[\"pawtucket\",71204,\"usa\",\"rhode island\"],[\"columbia\",101229,\"usa\",\"south carolina\"],[\"charleston\",69855,\"usa\",\"south carolina\"],[\"north charleston\",62504,\"usa\",\"south carolina\"],[\"greenville\",58242,\"usa\",\"south carolina\"],[\"sioux falls\",81343,\"usa\",\"south dakota\"],[\"memphis\",646356,\"usa\",\"tennessee\"],[\"nashville\",455651,\"usa\",\"tennessee\"],[\"knoxville\",175030,\"usa\",\"tennessee\"],[\"chattanooga\",169728,\"usa\",\"tennessee\"],[\"houston\",1595138,\"usa\",\"texas\"],[\"dallas\",904078,\"usa\",\"texas\"],[\"san antonio\",785880,\"usa\",\"texas\"],[\"el paso\",425259,\"usa\",\"texas\"],[\"fort worth\",385164,\"usa\",\"texas\"],[\"austin\",345496,\"usa\",\"texas\"],[\"corpus christi\",231999,\"usa\",\"texas\"],[\"lubbock\",173979,\"usa\",\"texas\"],[\"arlington\",160123,\"usa\",\"texas\"],[\"amarillo\",149230,\"usa\",\"texas\"],[\"garland\",138857,\"usa\",\"texas\"],[\"beaumont\",118102,\"usa\",\"texas\"],[\"pasadena\",112560,\"usa\",\"texas\"],[\"irving\",109943,\"usa\",\"texas\"],[\"waco\",101261,\"usa\",\"texas\"],[\"abilene\",98315,\"usa\",\"texas\"],[\"wichita falls\",94201,\"usa\",\"texas\"],[\"laredo\",91449,\"usa\",\"texas\"],[\"odessa\",90027,\"usa\",\"texas\"],[\"brownsville\",84997,\"usa\",\"texas\"],[\"san angelo\",73240,\"usa\",\"texas\"],[\"richardson\",72496,\"usa\",\"texas\"],[\"plano\",72331,\"usa\",\"texas\"],[\"grand prairie\",71462,\"usa\",\"texas\"],[\"midland\",70525,\"usa\",\"texas\"],[\"tyler\",70508,\"usa\",\"texas\"],[\"mesquite\",67053,\"usa\",\"texas\"],[\"mcallen\",67042,\"usa\",\"texas\"],[\"longview\",62762,\"usa\",\"texas\"],[\"port arthur\",61195,\"usa\",\"texas\"],[\"salt lake city\",163034,\"usa\",\"utah\"],[\"provo\",74111,\"usa\",\"utah\"],[\"west valley\",72299,\"usa\",\"utah\"],[\"ogden\",64407,\"usa\",\"utah\"],[\"norfolk\",266979,\"usa\",\"virginia\"],[\"virginia beach\",262199,\"usa\",\"virginia\"],[\"richmond\",219214,\"usa\",\"virginia\"],[\"arlington\",152599,\"usa\",\"virginia\"],[\"newport news\",144903,\"usa\",\"virginia\"],[\"hampton\",122617,\"usa\",\"virginia\"],[\"chesapeake\",114226,\"usa\",\"virginia\"],[\"portsmouth\",104577,\"usa\",\"virginia\"],[\"alexandria\",103217,\"usa\",\"virginia\"],[\"roanoke\",100427,\"usa\",\"virginia\"],[\"lynchburg\",66743,\"usa\",\"virginia\"],[\"seattle\",493846,\"usa\",\"washington\"],[\"spokane\",171300,\"usa\",\"washington\"],[\"tacoma\",158501,\"usa\",\"washington\"],[\"bellevue\",73903,\"usa\",\"washington\"],[\"charleston\",63968,\"usa\",\"west virginia\"],[\"huntington\",63684,\"usa\",\"west virginia\"],[\"milwaukee\",636212,\"usa\",\"wisconsin\"],[\"madison\",170616,\"usa\",\"wisconsin\"],[\"green bay\",87899,\"usa\",\"wisconsin\"],[\"racine\",85725,\"usa\",\"wisconsin\"],[\"kenosha\",77685,\"usa\",\"wisconsin\"],[\"west allis\",63982,\"usa\",\"wisconsin\"],[\"appleton\",58913,\"usa\",\"wisconsin\"],[\"casper\",51016,\"usa\",\"wyoming\"]]}" ]
what is the population of austin texas <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : population row 1 : 345496
SELECT river.river_name FROM river WHERE river.traverse IN(SELECT border_info.border FROM border_info WHERE border_info.state_name='alabama');
what rivers flow through states that alabama borders
{"columns":["river_name"],"index":[0,1,2,3,4,5,6,7,8],"data":[["mississippi"],["mississippi"],["chattahoochee"],["chattahoochee"],["chattahoochee"],["tennessee"],["tennessee"],["cumberland"],["tombigbee"]]}
[ "river", "border_info" ]
[ "{\"columns\":[\"river_name\",\"length\",\"country_name\",\"traverse\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148],\"data\":[[\"mississippi\",3778,\"usa\",\"minnesota\"],[\"mississippi\",3778,\"usa\",\"wisconsin\"],[\"mississippi\",3778,\"usa\",\"iowa\"],[\"mississippi\",3778,\"usa\",\"illinois\"],[\"mississippi\",3778,\"usa\",\"missouri\"],[\"mississippi\",3778,\"usa\",\"kentucky\"],[\"mississippi\",3778,\"usa\",\"tennessee\"],[\"mississippi\",3778,\"usa\",\"arkansas\"],[\"mississippi\",3778,\"usa\",\"mississippi\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"missouri\",3968,\"usa\",\"montana\"],[\"missouri\",3968,\"usa\",\"north 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mexico\"],[\"red\",1638,\"usa\",\"texas\"],[\"red\",1638,\"usa\",\"oklahoma\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"louisiana\"],[\"arkansas\",2333,\"usa\",\"colorado\"],[\"arkansas\",2333,\"usa\",\"kansas\"],[\"arkansas\",2333,\"usa\",\"oklahoma\"],[\"arkansas\",2333,\"usa\",\"arkansas\"],[\"canadian\",1458,\"usa\",\"colorado\"],[\"canadian\",1458,\"usa\",\"new mexico\"],[\"canadian\",1458,\"usa\",\"texas\"],[\"canadian\",1458,\"usa\",\"oklahoma\"],[\"connecticut\",655,\"usa\",\"new hampshire\"],[\"connecticut\",655,\"usa\",\"vermont\"],[\"connecticut\",655,\"usa\",\"massachusetts\"],[\"connecticut\",655,\"usa\",\"connecticut\"],[\"delaware\",451,\"usa\",\"new york\"],[\"delaware\",451,\"usa\",\"pennsylvania\"],[\"delaware\",451,\"usa\",\"new jersey\"],[\"delaware\",451,\"usa\",\"delaware\"],[\"little missouri\",901,\"usa\",\"wyoming\"],[\"little missouri\",901,\"usa\",\"montana\"],[\"little missouri\",901,\"usa\",\"south dakota\"],[\"little missouri\",901,\"usa\",\"north dakota\"],[\"snake\",1670,\"usa\",\"wyoming\"],[\"snake\",1670,\"usa\",\"idaho\"],[\"snake\",1670,\"usa\",\"oregon\"],[\"snake\",1670,\"usa\",\"washington\"],[\"snake\",1670,\"usa\",\"washington\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"florida\"],[\"cimarron\",965,\"usa\",\"new mexico\"],[\"cimarron\",965,\"usa\",\"kansas\"],[\"cimarron\",965,\"usa\",\"oklahoma\"],[\"green\",1175,\"usa\",\"wyoming\"],[\"green\",1175,\"usa\",\"utah\"],[\"green\",1175,\"usa\",\"colorado\"],[\"green\",1175,\"usa\",\"utah\"],[\"north platte\",1094,\"usa\",\"colorado\"],[\"north platte\",1094,\"usa\",\"wyoming\"],[\"north platte\",1094,\"usa\",\"nebraska\"],[\"potomac\",462,\"usa\",\"west virginia\"],[\"potomac\",462,\"usa\",\"maryland\"],[\"potomac\",462,\"usa\",\"virginia\"],[\"potomac\",462,\"usa\",\"district of columbia\"],[\"republican\",679,\"usa\",\"colorado\"],[\"republican\",679,\"usa\",\"nebraska\"],[\"republican\",679,\"usa\",\"kansas\"],[\"rio grande\",3033,\"usa\",\"colorado\"],[\"rio grande\",3033,\"usa\",\"new mexico\"],[\"rio grande\",3033,\"usa\",\"texas\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"new mexico\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"utah\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"alabama\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"kentucky\"],[\"wabash\",764,\"usa\",\"ohio\"],[\"wabash\",764,\"usa\",\"indiana\"],[\"wabash\",764,\"usa\",\"illinois\"],[\"yellowstone\",1080,\"usa\",\"wyoming\"],[\"yellowstone\",1080,\"usa\",\"montana\"],[\"yellowstone\",1080,\"usa\",\"north dakota\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"allegheny\",523,\"usa\",\"new york\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"bighorn\",541,\"usa\",\"wyoming\"],[\"bighorn\",541,\"usa\",\"montana\"],[\"cheyenne\",848,\"usa\",\"wyoming\"],[\"cheyenne\",848,\"usa\",\"north dakota\"],[\"clark fork\",483,\"usa\",\"montana\"],[\"clark fork\",483,\"usa\",\"idaho\"],[\"columbia\",1953,\"usa\",\"washington\"],[\"columbia\",1953,\"usa\",\"oregon\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"cumberland\",1105,\"usa\",\"tennessee\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"dakota\",1142,\"usa\",\"north dakota\"],[\"dakota\",1142,\"usa\",\"south dakota\"],[\"gila\",805,\"usa\",\"new mexico\"],[\"gila\",805,\"usa\",\"arizona\"],[\"hudson\",492,\"usa\",\"new york\"],[\"hudson\",492,\"usa\",\"new jersey\"],[\"neosho\",740,\"usa\",\"kansas\"],[\"neosho\",740,\"usa\",\"oklahoma\"],[\"niobrara\",693,\"usa\",\"wyoming\"],[\"niobrara\",693,\"usa\",\"nebraska\"],[\"ouachita\",973,\"usa\",\"arkansas\"],[\"ouachita\",973,\"usa\",\"louisiana\"],[\"pearl\",788,\"usa\",\"michigan\"],[\"pearl\",788,\"usa\",\"louisiana\"],[\"pecos\",805,\"usa\",\"new mexico\"],[\"pecos\",805,\"usa\",\"texas\"],[\"powder\",603,\"usa\",\"wyoming\"],[\"powder\",603,\"usa\",\"montana\"],[\"roanoke\",660,\"usa\",\"virginia\"],[\"roanoke\",660,\"usa\",\"north carolina\"],[\"rock\",459,\"usa\",\"wisconsin\"],[\"rock\",459,\"usa\",\"illinois\"],[\"smoky hill\",869,\"usa\",\"colorado\"],[\"smoky hill\",869,\"usa\",\"kansas\"],[\"south platte\",682,\"usa\",\"colorado\"],[\"south platte\",682,\"usa\",\"nebraska\"],[\"st. francis\",684,\"usa\",\"missouri\"],[\"st. francis\",684,\"usa\",\"arkansas\"],[\"tombigbee\",658,\"usa\",\"mississippi\"],[\"tombigbee\",658,\"usa\",\"alabama\"],[\"washita\",805,\"usa\",\"texas\"],[\"washita\",805,\"usa\",\"oklahoma\"],[\"wateree catawba\",636,\"usa\",\"north carolina\"],[\"wateree catawba\",636,\"usa\",\"south carolina\"],[\"white\",1110,\"usa\",\"arkansas\"],[\"white\",1110,\"usa\",\"missouri\"],[\"white\",1110,\"usa\",\"arkansas\"]]}", "{\"columns\":[\"state_name\",\"border\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217],\"data\":[[\"alabama\",\"tennessee\"],[\"alabama\",\"georgia\"],[\"alabama\",\"florida\"],[\"alabama\",\"mississippi\"],[\"arizona\",\"utah\"],[\"arizona\",\"colorado\"],[\"arizona\",\"new mexico\"],[\"arizona\",\"california\"],[\"arizona\",\"nevada\"],[\"arkansas\",\"missouri\"],[\"arkansas\",\"tennessee\"],[\"arkansas\",\"mississippi\"],[\"arkansas\",\"louisiana\"],[\"arkansas\",\"texas\"],[\"arkansas\",\"oklahoma\"],[\"california\",\"oregon\"],[\"california\",\"nevada\"],[\"california\",\"arizona\"],[\"colorado\",\"nebraska\"],[\"colorado\",\"kansas\"],[\"colorado\",\"oklahoma\"],[\"colorado\",\"new mexico\"],[\"colorado\",\"arizona\"],[\"colorado\",\"utah\"],[\"colorado\",\"wyoming\"],[\"connecticut\",\"massachusetts\"],[\"connecticut\",\"rhode island\"],[\"connecticut\",\"new york\"],[\"delaware\",\"pennsylvania\"],[\"delaware\",\"new jersey\"],[\"delaware\",\"maryland\"],[\"district of columbia\",\"maryland\"],[\"district of columbia\",\"virginia\"],[\"florida\",\"georgia\"],[\"florida\",\"alabama\"],[\"georgia\",\"north carolina\"],[\"georgia\",\"south carolina\"],[\"georgia\",\"florida\"],[\"georgia\",\"alabama\"],[\"georgia\",\"tennessee\"],[\"idaho\",\"montana\"],[\"idaho\",\"wyoming\"],[\"idaho\",\"utah\"],[\"idaho\",\"nevada\"],[\"idaho\",\"oregon\"],[\"idaho\",\"washington\"],[\"illinois\",\"wisconsin\"],[\"illinois\",\"indiana\"],[\"illinois\",\"kentucky\"],[\"illinois\",\"missouri\"],[\"illinois\",\"iowa\"],[\"indiana\",\"michigan\"],[\"indiana\",\"ohio\"],[\"indiana\",\"kentucky\"],[\"indiana\",\"illinois\"],[\"iowa\",\"minnesota\"],[\"iowa\",\"wisconsin\"],[\"iowa\",\"illinois\"],[\"iowa\",\"missouri\"],[\"iowa\",\"nebraska\"],[\"iowa\",\"south dakota\"],[\"kansas\",\"nebraska\"],[\"kansas\",\"missouri\"],[\"kansas\",\"oklahoma\"],[\"kansas\",\"colorado\"],[\"kentucky\",\"indiana\"],[\"kentucky\",\"ohio\"],[\"kentucky\",\"west virginia\"],[\"kentucky\",\"virginia\"],[\"kentucky\",\"tennessee\"],[\"kentucky\",\"missouri\"],[\"kentucky\",\"illinois\"],[\"louisiana\",\"arkansas\"],[\"louisiana\",\"mississippi\"],[\"louisiana\",\"texas\"],[\"maine\",\"new hampshire\"],[\"maryland\",\"pennsylvania\"],[\"maryland\",\"delaware\"],[\"maryland\",\"virginia\"],[\"maryland\",\"district of columbia\"],[\"maryland\",\"west virginia\"],[\"massachusetts\",\"new hampshire\"],[\"massachusetts\",\"rhode island\"],[\"massachusetts\",\"connecticut\"],[\"massachusetts\",\"new york\"],[\"massachusetts\",\"vermont\"],[\"michigan\",\"ohio\"],[\"michigan\",\"indiana\"],[\"michigan\",\"wisconsin\"],[\"minnesota\",\"wisconsin\"],[\"minnesota\",\"iowa\"],[\"minnesota\",\"south dakota\"],[\"minnesota\",\"north dakota\"],[\"mississippi\",\"tennessee\"],[\"mississippi\",\"alabama\"],[\"mississippi\",\"louisiana\"],[\"mississippi\",\"arkansas\"],[\"missouri\",\"iowa\"],[\"missouri\",\"illinois\"],[\"missouri\",\"kentucky\"],[\"missouri\",\"tennessee\"],[\"missouri\",\"arkansas\"],[\"missouri\",\"oklahoma\"],[\"missouri\",\"kansas\"],[\"missouri\",\"nebraska\"],[\"montana\",\"north dakota\"],[\"montana\",\"south dakota\"],[\"montana\",\"wyoming\"],[\"montana\",\"idaho\"],[\"nebraska\",\"south dakota\"],[\"nebraska\",\"iowa\"],[\"nebraska\",\"missouri\"],[\"nebraska\",\"kansas\"],[\"nebraska\",\"colorado\"],[\"nebraska\",\"wyoming\"],[\"nevada\",\"idaho\"],[\"nevada\",\"utah\"],[\"nevada\",\"arizona\"],[\"nevada\",\"california\"],[\"nevada\",\"oregon\"],[\"new hampshire\",\"maine\"],[\"new hampshire\",\"massachusetts\"],[\"new hampshire\",\"vermont\"],[\"new jersey\",\"new york\"],[\"new jersey\",\"delaware\"],[\"new jersey\",\"pennsylvania\"],[\"new mexico\",\"colorado\"],[\"new mexico\",\"oklahoma\"],[\"new mexico\",\"texas\"],[\"new mexico\",\"arizona\"],[\"new mexico\",\"utah\"],[\"new york\",\"vermont\"],[\"new york\",\"massachusetts\"],[\"new york\",\"connecticut\"],[\"new york\",\"new jersey\"],[\"new york\",\"pennsylvania\"],[\"north carolina\",\"virginia\"],[\"north carolina\",\"south carolina\"],[\"north carolina\",\"georgia\"],[\"north carolina\",\"tennessee\"],[\"north dakota\",\"minnesota\"],[\"north dakota\",\"south dakota\"],[\"north dakota\",\"montana\"],[\"ohio\",\"michigan\"],[\"ohio\",\"pennsylvania\"],[\"ohio\",\"west virginia\"],[\"ohio\",\"kentucky\"],[\"ohio\",\"indiana\"],[\"oklahoma\",\"kansas\"],[\"oklahoma\",\"missouri\"],[\"oklahoma\",\"arkansas\"],[\"oklahoma\",\"texas\"],[\"oklahoma\",\"new mexico\"],[\"oklahoma\",\"colorado\"],[\"oregon\",\"washington\"],[\"oregon\",\"idaho\"],[\"oregon\",\"nevada\"],[\"oregon\",\"california\"],[\"pennsylvania\",\"new york\"],[\"pennsylvania\",\"new jersey\"],[\"pennsylvania\",\"delaware\"],[\"pennsylvania\",\"maryland\"],[\"pennsylvania\",\"west virginia\"],[\"pennsylvania\",\"ohio\"],[\"rhode island\",\"massachusetts\"],[\"rhode island\",\"connecticut\"],[\"south carolina\",\"north carolina\"],[\"south carolina\",\"georgia\"],[\"south dakota\",\"north dakota\"],[\"south dakota\",\"minnesota\"],[\"south dakota\",\"iowa\"],[\"south dakota\",\"nebraska\"],[\"south dakota\",\"wyoming\"],[\"south dakota\",\"montana\"],[\"tennessee\",\"kentucky\"],[\"tennessee\",\"virginia\"],[\"tennessee\",\"north carolina\"],[\"tennessee\",\"georgia\"],[\"tennessee\",\"alabama\"],[\"tennessee\",\"mississippi\"],[\"tennessee\",\"arkansas\"],[\"tennessee\",\"missouri\"],[\"texas\",\"oklahoma\"],[\"texas\",\"arkansas\"],[\"texas\",\"louisiana\"],[\"texas\",\"new mexico\"],[\"utah\",\"wyoming\"],[\"utah\",\"colorado\"],[\"utah\",\"new mexico\"],[\"utah\",\"arizona\"],[\"utah\",\"nevada\"],[\"utah\",\"idaho\"],[\"vermont\",\"new hampshire\"],[\"vermont\",\"massachusetts\"],[\"vermont\",\"new york\"],[\"virginia\",\"maryland\"],[\"virginia\",\"district of columbia\"],[\"virginia\",\"north carolina\"],[\"virginia\",\"tennessee\"],[\"virginia\",\"kentucky\"],[\"virginia\",\"west virginia\"],[\"washington\",\"idaho\"],[\"washington\",\"oregon\"],[\"west virginia\",\"pennsylvania\"],[\"west virginia\",\"maryland\"],[\"west virginia\",\"virginia\"],[\"west virginia\",\"kentucky\"],[\"west virginia\",\"ohio\"],[\"wisconsin\",\"michigan\"],[\"wisconsin\",\"illinois\"],[\"wisconsin\",\"iowa\"],[\"wisconsin\",\"minnesota\"],[\"wyoming\",\"montana\"],[\"wyoming\",\"south dakota\"],[\"wyoming\",\"nebraska\"],[\"wyoming\",\"colorado\"],[\"wyoming\",\"utah\"],[\"wyoming\",\"idaho\"]]}" ]
what rivers flow through states that alabama borders <table_name> : river col : river_name | length | country_name | traverse row 1 : mississippi | 3778 | usa | minnesota row 2 : mississippi | 3778 | usa | wisconsin row 3 : mississippi | 3778 | usa | iowa row 4 : mississippi | 3778 | usa | illinois row 5 : mississippi | 3778 | usa | missouri row 6 : mississippi | 3778 | usa | kentucky row 7 : mississippi | 3778 | usa | tennessee row 8 : mississippi | 3778 | usa | arkansas row 9 : mississippi | 3778 | usa | mississippi row 10 : mississippi | 3778 | usa | louisiana row 11 : mississippi | 3778 | usa | louisiana row 12 : missouri | 3968 | usa | montana row 13 : missouri | 3968 | usa | north dakota row 14 : missouri | 3968 | usa | south dakota row 15 : missouri | 3968 | usa | iowa row 16 : missouri | 3968 | usa | nebraska row 17 : missouri | 3968 | usa | missouri row 18 : missouri | 3968 | usa | missouri row 19 : colorado | 2333 | usa | colorado row 20 : colorado | 2333 | usa | utah row 21 : colorado | 2333 | usa | arizona row 22 : colorado | 2333 | usa | nevada row 23 : colorado | 2333 | usa | california row 24 : ohio | 1569 | usa | pennsylvania row 25 : ohio | 1569 | usa | west virginia row 26 : ohio | 1569 | usa | kentucky row 27 : ohio | 1569 | usa | indiana row 28 : ohio | 1569 | usa | illinois row 29 : ohio | 1569 | usa | illinois row 30 : ohio | 1569 | usa | ohio row 31 : red | 1638 | usa | new mexico row 32 : red | 1638 | usa | texas row 33 : red | 1638 | usa | oklahoma row 34 : red | 1638 | usa | arkansas row 35 : red | 1638 | usa | arkansas row 36 : red | 1638 | usa | louisiana row 37 : arkansas | 2333 | usa | colorado row 38 : arkansas | 2333 | usa | kansas row 39 : arkansas | 2333 | usa | oklahoma row 40 : arkansas | 2333 | usa | arkansas row 41 : canadian | 1458 | usa | colorado row 42 : canadian | 1458 | usa | new mexico row 43 : canadian | 1458 | usa | texas row 44 : canadian | 1458 | usa | oklahoma row 45 : connecticut | 655 | usa | new hampshire row 46 : connecticut | 655 | usa | vermont row 47 : connecticut | 655 | usa | massachusetts row 48 : connecticut | 655 | usa | connecticut row 49 : delaware | 451 | usa | new york row 50 : delaware | 451 | usa | pennsylvania row 51 : delaware | 451 | usa | new jersey row 52 : delaware | 451 | usa | delaware row 53 : little missouri | 901 | usa | wyoming row 54 : little missouri | 901 | usa | montana row 55 : little missouri | 901 | usa | south dakota row 56 : little missouri | 901 | usa | north dakota row 57 : snake | 1670 | usa | wyoming row 58 : snake | 1670 | usa | idaho row 59 : snake | 1670 | usa | oregon row 60 : snake | 1670 | usa | washington row 61 : snake | 1670 | usa | washington row 62 : chattahoochee | 702 | usa | georgia row 63 : chattahoochee | 702 | usa | georgia row 64 : chattahoochee | 702 | usa | florida row 65 : cimarron | 965 | usa | new mexico row 66 : cimarron | 965 | usa | kansas row 67 : cimarron | 965 | usa | oklahoma row 68 : green | 1175 | usa | wyoming row 69 : green | 1175 | usa | utah row 70 : green | 1175 | usa | colorado row 71 : green | 1175 | usa | utah row 72 : north platte | 1094 | usa | colorado row 73 : north platte | 1094 | usa | wyoming row 74 : north platte | 1094 | usa | nebraska row 75 : potomac | 462 | usa | west virginia row 76 : potomac | 462 | usa | maryland row 77 : potomac | 462 | usa | virginia row 78 : potomac | 462 | usa | district of columbia row 79 : republican | 679 | usa | colorado row 80 : republican | 679 | usa | nebraska row 81 : republican | 679 | usa | kansas row 82 : rio grande | 3033 | usa | colorado row 83 : rio grande | 3033 | usa | new mexico row 84 : rio grande | 3033 | usa | texas row 85 : san juan | 579 | usa | colorado row 86 : san juan | 579 | usa | new mexico row 87 : san juan | 579 | usa | colorado row 88 : san juan | 579 | usa | utah row 89 : tennessee | 1049 | usa | tennessee row 90 : tennessee | 1049 | usa | alabama row 91 : tennessee | 1049 | usa | tennessee row 92 : tennessee | 1049 | usa | kentucky row 93 : wabash | 764 | usa | ohio row 94 : wabash | 764 | usa | indiana row 95 : wabash | 764 | usa | illinois row 96 : yellowstone | 1080 | usa | wyoming row 97 : yellowstone | 1080 | usa | montana row 98 : yellowstone | 1080 | usa | north dakota row 99 : allegheny | 523 | usa | pennsylvania row 100 : allegheny | 523 | usa | new york row 101 : allegheny | 523 | usa | pennsylvania row 102 : bighorn | 541 | usa | wyoming row 103 : bighorn | 541 | usa | montana row 104 : cheyenne | 848 | usa | wyoming row 105 : cheyenne | 848 | usa | north dakota row 106 : clark fork | 483 | usa | montana row 107 : clark fork | 483 | usa | idaho row 108 : columbia | 1953 | usa | washington row 109 : columbia | 1953 | usa | oregon row 110 : cumberland | 1105 | usa | kentucky row 111 : cumberland | 1105 | usa | tennessee row 112 : cumberland | 1105 | usa | kentucky row 113 : dakota | 1142 | usa | north dakota row 114 : dakota | 1142 | usa | south dakota row 115 : gila | 805 | usa | new mexico row 116 : gila | 805 | usa | arizona row 117 : hudson | 492 | usa | new york row 118 : hudson | 492 | usa | new jersey row 119 : neosho | 740 | usa | kansas row 120 : neosho | 740 | usa | oklahoma row 121 : niobrara | 693 | usa | wyoming row 122 : niobrara | 693 | usa | nebraska row 123 : ouachita | 973 | usa | arkansas row 124 : ouachita | 973 | usa | louisiana row 125 : pearl | 788 | usa | michigan row 126 : pearl | 788 | usa | louisiana row 127 : pecos | 805 | usa | new mexico row 128 : pecos | 805 | usa | texas row 129 : powder | 603 | usa | wyoming row 130 : powder | 603 | usa | montana row 131 : roanoke | 660 | usa | virginia row 132 : roanoke | 660 | usa | north carolina row 133 : rock | 459 | usa | wisconsin row 134 : rock | 459 | usa | illinois row 135 : smoky hill | 869 | usa | colorado row 136 : smoky hill | 869 | usa | kansas row 137 : south platte | 682 | usa | colorado row 138 : south platte | 682 | usa | nebraska row 139 : st. francis | 684 | usa | missouri row 140 : st. francis | 684 | usa | arkansas row 141 : tombigbee | 658 | usa | mississippi row 142 : tombigbee | 658 | usa | alabama row 143 : washita | 805 | usa | texas row 144 : washita | 805 | usa | oklahoma row 145 : wateree catawba | 636 | usa | north carolina row 146 : wateree catawba | 636 | usa | south carolina row 147 : white | 1110 | usa | arkansas row 148 : white | 1110 | usa | missouri row 149 : white | 1110 | usa | arkansas <table_name> : border_info col : state_name | border row 1 : alabama | tennessee row 2 : alabama | georgia row 3 : alabama | florida row 4 : alabama | mississippi row 5 : arizona | utah row 6 : arizona | colorado row 7 : arizona | new mexico row 8 : arizona | california row 9 : arizona | nevada row 10 : arkansas | missouri row 11 : arkansas | tennessee row 12 : arkansas | mississippi row 13 : arkansas | louisiana row 14 : arkansas | texas row 15 : arkansas | oklahoma row 16 : california | oregon row 17 : california | nevada row 18 : california | arizona row 19 : colorado | nebraska row 20 : colorado | kansas row 21 : colorado | oklahoma row 22 : colorado | new mexico row 23 : colorado | arizona row 24 : colorado | utah row 25 : colorado | wyoming row 26 : connecticut | massachusetts row 27 : connecticut | rhode island row 28 : connecticut | new york row 29 : delaware | pennsylvania row 30 : delaware | new jersey row 31 : delaware | maryland row 32 : district of columbia | maryland row 33 : district of columbia | virginia row 34 : florida | georgia row 35 : florida | alabama row 36 : georgia | north carolina row 37 : georgia | south carolina row 38 : georgia | florida row 39 : georgia | alabama row 40 : georgia | tennessee row 41 : idaho | montana row 42 : idaho | wyoming row 43 : idaho | utah row 44 : idaho | nevada row 45 : idaho | oregon row 46 : idaho | washington row 47 : illinois | wisconsin row 48 : illinois | indiana row 49 : illinois | kentucky row 50 : illinois | missouri row 51 : illinois | iowa row 52 : indiana | michigan row 53 : indiana | ohio row 54 : indiana | kentucky row 55 : indiana | illinois row 56 : iowa | minnesota row 57 : iowa | wisconsin row 58 : iowa | illinois row 59 : iowa | missouri row 60 : iowa | nebraska row 61 : iowa | south dakota row 62 : kansas | nebraska row 63 : kansas | missouri row 64 : kansas | oklahoma row 65 : kansas | colorado row 66 : kentucky | indiana row 67 : kentucky | ohio row 68 : kentucky | west virginia row 69 : kentucky | virginia row 70 : kentucky | tennessee row 71 : kentucky | missouri row 72 : kentucky | illinois row 73 : louisiana | arkansas row 74 : louisiana | mississippi row 75 : louisiana | texas row 76 : maine | new hampshire row 77 : maryland | pennsylvania row 78 : maryland | delaware row 79 : maryland | virginia row 80 : maryland | district of columbia row 81 : maryland | west virginia row 82 : massachusetts | new hampshire row 83 : massachusetts | rhode island row 84 : massachusetts | connecticut row 85 : massachusetts | new york row 86 : massachusetts | vermont row 87 : michigan | ohio row 88 : michigan | indiana row 89 : michigan | wisconsin row 90 : minnesota | wisconsin row 91 : minnesota | iowa row 92 : minnesota | south dakota row 93 : minnesota | north dakota row 94 : mississippi | tennessee row 95 : mississippi | alabama row 96 : mississippi | louisiana row 97 : mississippi | arkansas row 98 : missouri | iowa row 99 : missouri | illinois row 100 : missouri | kentucky row 101 : missouri | tennessee row 102 : missouri | arkansas row 103 : missouri | oklahoma row 104 : missouri | kansas row 105 : missouri | nebraska row 106 : montana | north dakota row 107 : montana | south dakota row 108 : montana | wyoming row 109 : montana | idaho row 110 : nebraska | south dakota row 111 : nebraska | iowa row 112 : nebraska | missouri row 113 : nebraska | kansas row 114 : nebraska | colorado row 115 : nebraska | wyoming row 116 : nevada | idaho row 117 : nevada | utah row 118 : nevada | arizona row 119 : nevada | california row 120 : nevada | oregon row 121 : new hampshire | maine row 122 : new hampshire | massachusetts row 123 : new hampshire | vermont row 124 : new jersey | new york row 125 : new jersey | delaware row 126 : new jersey | pennsylvania row 127 : new mexico | colorado row 128 : new mexico | oklahoma row 129 : new mexico | texas row 130 : new mexico | arizona row 131 : new mexico | utah row 132 : new york | vermont row 133 : new york | massachusetts row 134 : new york | connecticut row 135 : new york | new jersey row 136 : new york | pennsylvania row 137 : north carolina | virginia row 138 : north carolina | south carolina row 139 : north carolina | georgia row 140 : north carolina | tennessee row 141 : north dakota | minnesota row 142 : north dakota | south dakota row 143 : north dakota | montana row 144 : ohio | michigan row 145 : ohio | pennsylvania row 146 : ohio | west virginia row 147 : ohio | kentucky row 148 : ohio | indiana row 149 : oklahoma | kansas row 150 : oklahoma | missouri row 151 : oklahoma | arkansas row 152 : oklahoma | texas row 153 : oklahoma | new mexico row 154 : oklahoma | colorado row 155 : oregon | washington row 156 : oregon | idaho row 157 : oregon | nevada row 158 : oregon | california row 159 : pennsylvania | new york row 160 : pennsylvania | new jersey row 161 : pennsylvania | delaware row 162 : pennsylvania | maryland row 163 : pennsylvania | west virginia row 164 : pennsylvania | ohio row 165 : rhode island | massachusetts row 166 : rhode island | connecticut row 167 : south carolina | north carolina row 168 : south carolina | georgia row 169 : south dakota | north dakota row 170 : south dakota | minnesota row 171 : south dakota | iowa row 172 : south dakota | nebraska row 173 : south dakota | wyoming row 174 : south dakota | montana row 175 : tennessee | kentucky row 176 : tennessee | virginia row 177 : tennessee | north carolina row 178 : tennessee | georgia row 179 : tennessee | alabama row 180 : tennessee | mississippi row 181 : tennessee | arkansas row 182 : tennessee | missouri row 183 : texas | oklahoma row 184 : texas | arkansas row 185 : texas | louisiana row 186 : texas | new mexico row 187 : utah | wyoming row 188 : utah | colorado row 189 : utah | new mexico row 190 : utah | arizona row 191 : utah | nevada row 192 : utah | idaho row 193 : vermont | new hampshire row 194 : vermont | massachusetts row 195 : vermont | new york row 196 : virginia | maryland row 197 : virginia | district of columbia row 198 : virginia | north carolina row 199 : virginia | tennessee row 200 : virginia | kentucky row 201 : virginia | west virginia row 202 : washington | idaho row 203 : washington | oregon row 204 : west virginia | pennsylvania row 205 : west virginia | maryland row 206 : west virginia | virginia row 207 : west virginia | kentucky row 208 : west virginia | ohio row 209 : wisconsin | michigan row 210 : wisconsin | illinois row 211 : wisconsin | iowa row 212 : wisconsin | minnesota row 213 : wyoming | montana row 214 : wyoming | south dakota row 215 : wyoming | nebraska row 216 : wyoming | colorado row 217 : wyoming | utah row 218 : wyoming | idaho
col : river_name row 1 : mississippi row 2 : mississippi row 3 : chattahoochee row 4 : chattahoochee row 5 : chattahoochee row 6 : tennessee row 7 : tennessee row 8 : cumberland row 9 : tombigbee
SELECT city.city_name FROM city WHERE city.population=(SELECT max(city.population) FROM city);
what is the biggest city in the us
{"columns":["city_name"],"index":[0],"data":[["new york"]]}
[ "city" ]
[ "{\"columns\":[\"city_name\",\"population\",\"country_name\",\"state_name\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385],\"data\":[[\"birmingham\",284413,\"usa\",\"alabama\"],[\"mobile\",200452,\"usa\",\"alabama\"],[\"montgomery\",177857,\"usa\",\"alabama\"],[\"huntsville\",142513,\"usa\",\"alabama\"],[\"tuscaloosa\",75143,\"usa\",\"alabama\"],[\"anchorage\",174431,\"usa\",\"alaska\"],[\"phoenix\",789704,\"usa\",\"arizona\"],[\"tucson\",330537,\"usa\",\"arizona\"],[\"mesa\",152453,\"usa\",\"arizona\"],[\"tempe\",106919,\"usa\",\"arizona\"],[\"glendale\",96988,\"usa\",\"arizona\"],[\"scottsdale\",88622,\"usa\",\"arizona\"],[\"little 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what is the biggest city in the us <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : city_name row 1 : new york
SELECT state.state_name FROM state WHERE state.density=(SELECT min(state.density) FROM state);
which state has the least population density
{"columns":["state_name"],"index":[0],"data":[["alaska"]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
which state has the least population density <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : state_name row 1 : alaska
SELECT highlow.lowest_elevation FROM highlow WHERE highlow.lowest_point='death valley';
what is the elevation of death valley
{"columns":["lowest_elevation"],"index":[0],"data":[["-85"]]}
[ "highlow" ]
[ "{\"columns\":[\"state_name\",\"highest_elevation\",\"lowest_point\",\"highest_point\",\"lowest_elevation\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",\"734\",\"gulf of mexico\",\"cheaha mountain\",\"0\"],[\"alaska\",\"6194\",\"pacific ocean\",\"mount mckinley\",\"0\"],[\"arizona\",\"3851\",\"colorado river\",\"humphreys peak\",\"21\"],[\"arkansas\",\"839\",\"ouachita river\",\"magazine mountain\",\"17\"],[\"california\",\"4418\",\"death valley\",\"mount whitney\",\"-85\"],[\"colorado\",\"4399\",\"arkansas river\",\"mount elbert\",\"1021\"],[\"connecticut\",\"725\",\"long island sound\",\"mount frissell\",\"0\"],[\"delaware\",\"135\",\"atlantic ocean\",\"centerville\",\"0\"],[\"district of columbia\",\"125\",\"potomac river\",\"tenleytown\",\"0\"],[\"florida\",\"105\",\"atlantic ocean\",\"walton county\",\"0\"],[\"georgia\",\"1458\",\"atlantic ocean\",\"brasstown bald\",\"0\"],[\"hawaii\",\"4205\",\"pacific ocean\",\"mauna kea\",\"0\"],[\"idaho\",\"3859\",\"snake river\",\"borah peak\",\"216\"],[\"illinois\",\"376\",\"mississippi river\",\"charles mound\",\"85\"],[\"indiana\",\"383\",\"ohio river\",\"franklin township\",\"98\"],[\"iowa\",\"511\",\"mississippi river\",\"ocheyedan mound\",\"146\"],[\"kansas\",\"1231\",\"verdigris river\",\"mount sunflower\",\"207\"],[\"kentucky\",\"1263\",\"mississippi river\",\"black mountain\",\"78\"],[\"louisiana\",\"163\",\"new orleans\",\"driskill mountain\",\"-1\"],[\"maine\",\"1606\",\"atlantic ocean\",\"mount katahdin\",\"0\"],[\"maryland\",\"1024\",\"atlantic ocean\",\"backbone mountain\",\"0\"],[\"massachusetts\",\"1064\",\"atlantic ocean\",\"mount greylock\",\"0\"],[\"michigan\",\"604\",\"lake erie\",\"mount curwood\",\"174\"],[\"minnesota\",\"701\",\"lake superior\",\"eagle mountain\",\"183\"],[\"mississippi\",\"246\",\"gulf of mexico\",\"woodall mountain\",\"0\"],[\"missouri\",\"540\",\"st. francis river\",\"taum sauk mountain\",\"70\"],[\"montana\",\"3901\",\"kootenai river\",\"granite peak\",\"549\"],[\"nebraska\",\"1654\",\"southeast corner\",\"johnson township\",\"256\"],[\"nevada\",\"4005\",\"colorado river\",\"boundary peak\",\"143\"],[\"new hampshire\",\"1917\",\"atlantic ocean\",\"mount washington\",\"0\"],[\"new jersey\",\"550\",\"atlantic ocean\",\"high point\",\"0\"],[\"new mexico\",\"4011\",\"red bluff reservoir\",\"wheeler peak\",\"859\"],[\"new york\",\"1629\",\"atlantic ocean\",\"mount marcy\",\"0\"],[\"north carolina\",\"2037\",\"atlantic ocean\",\"mount mitchell\",\"0\"],[\"north dakota\",\"1069\",\"red river\",\"white butte\",\"229\"],[\"ohio\",\"472\",\"ohio river\",\"campbell hill\",\"132\"],[\"oklahoma\",\"1516\",\"little river\",\"black mesa\",\"87\"],[\"oregon\",\"3424\",\"pacific ocean\",\"mount hood\",\"0\"],[\"pennsylvania\",\"979\",\"delaware river\",\"mount davis\",\"0\"],[\"rhode island\",\"247\",\"atlantic ocean\",\"jerimoth hill\",\"0\"],[\"south carolina\",\"1085\",\"atlantic ocean\",\"sassafras mountain\",\"0\"],[\"south dakota\",\"2207\",\"big stone lake\",\"harney peak\",\"284\"],[\"tennessee\",\"2025\",\"mississippi river\",\"clingmans dome\",\"55\"],[\"texas\",\"2667\",\"gulf of mexico\",\"guadalupe peak\",\"0\"],[\"utah\",\"4123\",\"beaver dam creek\",\"kings peak\",\"610\"],[\"vermont\",\"1339\",\"lake champlain\",\"mount mansfield\",\"29\"],[\"virginia\",\"1746\",\"atlantic ocean\",\"mount rogers\",\"0\"],[\"washington\",\"4392\",\"pacific ocean\",\"mount rainier\",\"0\"],[\"west virginia\",\"1482\",\"potomac river\",\"spruce knob\",\"73\"],[\"wisconsin\",\"595\",\"lake michigan\",\"timms hill\",\"177\"],[\"wyoming\",\"4202\",\"belle fourche river\",\"gannett peak\",\"945\"]]}" ]
what is the elevation of death valley <table_name> : highlow col : state_name | highest_elevation | lowest_point | highest_point | lowest_elevation row 1 : alabama | 734 | gulf of mexico | cheaha mountain | 0 row 2 : alaska | 6194 | pacific ocean | mount mckinley | 0 row 3 : arizona | 3851 | colorado river | humphreys peak | 21 row 4 : arkansas | 839 | ouachita river | magazine mountain | 17 row 5 : california | 4418 | death valley | mount whitney | -85 row 6 : colorado | 4399 | arkansas river | mount elbert | 1021 row 7 : connecticut | 725 | long island sound | mount frissell | 0 row 8 : delaware | 135 | atlantic ocean | centerville | 0 row 9 : district of columbia | 125 | potomac river | tenleytown | 0 row 10 : florida | 105 | atlantic ocean | walton county | 0 row 11 : georgia | 1458 | atlantic ocean | brasstown bald | 0 row 12 : hawaii | 4205 | pacific ocean | mauna kea | 0 row 13 : idaho | 3859 | snake river | borah peak | 216 row 14 : illinois | 376 | mississippi river | charles mound | 85 row 15 : indiana | 383 | ohio river | franklin township | 98 row 16 : iowa | 511 | mississippi river | ocheyedan mound | 146 row 17 : kansas | 1231 | verdigris river | mount sunflower | 207 row 18 : kentucky | 1263 | mississippi river | black mountain | 78 row 19 : louisiana | 163 | new orleans | driskill mountain | -1 row 20 : maine | 1606 | atlantic ocean | mount katahdin | 0 row 21 : maryland | 1024 | atlantic ocean | backbone mountain | 0 row 22 : massachusetts | 1064 | atlantic ocean | mount greylock | 0 row 23 : michigan | 604 | lake erie | mount curwood | 174 row 24 : minnesota | 701 | lake superior | eagle mountain | 183 row 25 : mississippi | 246 | gulf of mexico | woodall mountain | 0 row 26 : missouri | 540 | st. francis river | taum sauk mountain | 70 row 27 : montana | 3901 | kootenai river | granite peak | 549 row 28 : nebraska | 1654 | southeast corner | johnson township | 256 row 29 : nevada | 4005 | colorado river | boundary peak | 143 row 30 : new hampshire | 1917 | atlantic ocean | mount washington | 0 row 31 : new jersey | 550 | atlantic ocean | high point | 0 row 32 : new mexico | 4011 | red bluff reservoir | wheeler peak | 859 row 33 : new york | 1629 | atlantic ocean | mount marcy | 0 row 34 : north carolina | 2037 | atlantic ocean | mount mitchell | 0 row 35 : north dakota | 1069 | red river | white butte | 229 row 36 : ohio | 472 | ohio river | campbell hill | 132 row 37 : oklahoma | 1516 | little river | black mesa | 87 row 38 : oregon | 3424 | pacific ocean | mount hood | 0 row 39 : pennsylvania | 979 | delaware river | mount davis | 0 row 40 : rhode island | 247 | atlantic ocean | jerimoth hill | 0 row 41 : south carolina | 1085 | atlantic ocean | sassafras mountain | 0 row 42 : south dakota | 2207 | big stone lake | harney peak | 284 row 43 : tennessee | 2025 | mississippi river | clingmans dome | 55 row 44 : texas | 2667 | gulf of mexico | guadalupe peak | 0 row 45 : utah | 4123 | beaver dam creek | kings peak | 610 row 46 : vermont | 1339 | lake champlain | mount mansfield | 29 row 47 : virginia | 1746 | atlantic ocean | mount rogers | 0 row 48 : washington | 4392 | pacific ocean | mount rainier | 0 row 49 : west virginia | 1482 | potomac river | spruce knob | 73 row 50 : wisconsin | 595 | lake michigan | timms hill | 177 row 51 : wyoming | 4202 | belle fourche river | gannett peak | 945
col : lowest_elevation row 1 : -85
SELECT city.city_name FROM city WHERE city.state_name='rhode island' AND city.population>150000;
what are the major cities in rhode island
{"columns":["city_name"],"index":[0],"data":[["providence"]]}
[ "city" ]
[ 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dakota\"],[\"cleveland\",573822,\"usa\",\"ohio\"],[\"columbus\",564871,\"usa\",\"ohio\"],[\"cincinnati\",385457,\"usa\",\"ohio\"],[\"toledo\",354635,\"usa\",\"ohio\"],[\"akron\",237177,\"usa\",\"ohio\"],[\"dayton\",203371,\"usa\",\"ohio\"],[\"youngstown\",115436,\"usa\",\"ohio\"],[\"canton\",93077,\"usa\",\"ohio\"],[\"parma\",92548,\"usa\",\"ohio\"],[\"lorain\",75416,\"usa\",\"ohio\"],[\"springfield\",72563,\"usa\",\"ohio\"],[\"hamilton\",63189,\"usa\",\"ohio\"],[\"lakewood\",61963,\"usa\",\"ohio\"],[\"kettering\",61186,\"usa\",\"ohio\"],[\"euclid\",59999,\"usa\",\"ohio\"],[\"elyria\",57504,\"usa\",\"ohio\"],[\"oklahoma city\",403213,\"usa\",\"oklahoma\"],[\"tulsa\",360919,\"usa\",\"oklahoma\"],[\"lawton\",80054,\"usa\",\"oklahoma\"],[\"norman\",68020,\"usa\",\"oklahoma\"],[\"portland\",366383,\"usa\",\"oregon\"],[\"eugene\",105664,\"usa\",\"oregon\"],[\"salem\",89233,\"usa\",\"oregon\"],[\"philadelphia\",1688210,\"usa\",\"pennsylvania\"],[\"pittsburgh\",423938,\"usa\",\"pennsylvania\"],[\"erie\",119123,\"usa\",\"pennsylvania\"],[\"allentown\",103758,\"usa\",\"pennsylvania\"],[\"scranton\",88117,\"usa\",\"pennsylvania\"],[\"upper darby\",84054,\"usa\",\"pennsylvania\"],[\"reading\",78686,\"usa\",\"pennsylvania\"],[\"bethlehem\",70419,\"usa\",\"pennsylvania\"],[\"lower merion\",59651,\"usa\",\"pennsylvania\"],[\"abingdon\",59084,\"usa\",\"pennsylvania\"],[\"bristol township\",58733,\"usa\",\"pennsylvania\"],[\"penn hills\",57632,\"usa\",\"pennsylvania\"],[\"altoona\",57078,\"usa\",\"pennsylvania\"],[\"providence\",156804,\"usa\",\"rhode island\"],[\"warwick\",87123,\"usa\",\"rhode island\"],[\"cranston\",71992,\"usa\",\"rhode island\"],[\"pawtucket\",71204,\"usa\",\"rhode island\"],[\"columbia\",101229,\"usa\",\"south carolina\"],[\"charleston\",69855,\"usa\",\"south carolina\"],[\"north charleston\",62504,\"usa\",\"south carolina\"],[\"greenville\",58242,\"usa\",\"south carolina\"],[\"sioux falls\",81343,\"usa\",\"south dakota\"],[\"memphis\",646356,\"usa\",\"tennessee\"],[\"nashville\",455651,\"usa\",\"tennessee\"],[\"knoxville\",175030,\"usa\",\"tennessee\"],[\"chattanooga\",169728,\"usa\",\"tennessee\"],[\"houston\",1595138,\"usa\",\"texas\"],[\"dallas\",904078,\"usa\",\"texas\"],[\"san antonio\",785880,\"usa\",\"texas\"],[\"el paso\",425259,\"usa\",\"texas\"],[\"fort worth\",385164,\"usa\",\"texas\"],[\"austin\",345496,\"usa\",\"texas\"],[\"corpus christi\",231999,\"usa\",\"texas\"],[\"lubbock\",173979,\"usa\",\"texas\"],[\"arlington\",160123,\"usa\",\"texas\"],[\"amarillo\",149230,\"usa\",\"texas\"],[\"garland\",138857,\"usa\",\"texas\"],[\"beaumont\",118102,\"usa\",\"texas\"],[\"pasadena\",112560,\"usa\",\"texas\"],[\"irving\",109943,\"usa\",\"texas\"],[\"waco\",101261,\"usa\",\"texas\"],[\"abilene\",98315,\"usa\",\"texas\"],[\"wichita falls\",94201,\"usa\",\"texas\"],[\"laredo\",91449,\"usa\",\"texas\"],[\"odessa\",90027,\"usa\",\"texas\"],[\"brownsville\",84997,\"usa\",\"texas\"],[\"san angelo\",73240,\"usa\",\"texas\"],[\"richardson\",72496,\"usa\",\"texas\"],[\"plano\",72331,\"usa\",\"texas\"],[\"grand prairie\",71462,\"usa\",\"texas\"],[\"midland\",70525,\"usa\",\"texas\"],[\"tyler\",70508,\"usa\",\"texas\"],[\"mesquite\",67053,\"usa\",\"texas\"],[\"mcallen\",67042,\"usa\",\"texas\"],[\"longview\",62762,\"usa\",\"texas\"],[\"port arthur\",61195,\"usa\",\"texas\"],[\"salt lake city\",163034,\"usa\",\"utah\"],[\"provo\",74111,\"usa\",\"utah\"],[\"west valley\",72299,\"usa\",\"utah\"],[\"ogden\",64407,\"usa\",\"utah\"],[\"norfolk\",266979,\"usa\",\"virginia\"],[\"virginia beach\",262199,\"usa\",\"virginia\"],[\"richmond\",219214,\"usa\",\"virginia\"],[\"arlington\",152599,\"usa\",\"virginia\"],[\"newport news\",144903,\"usa\",\"virginia\"],[\"hampton\",122617,\"usa\",\"virginia\"],[\"chesapeake\",114226,\"usa\",\"virginia\"],[\"portsmouth\",104577,\"usa\",\"virginia\"],[\"alexandria\",103217,\"usa\",\"virginia\"],[\"roanoke\",100427,\"usa\",\"virginia\"],[\"lynchburg\",66743,\"usa\",\"virginia\"],[\"seattle\",493846,\"usa\",\"washington\"],[\"spokane\",171300,\"usa\",\"washington\"],[\"tacoma\",158501,\"usa\",\"washington\"],[\"bellevue\",73903,\"usa\",\"washington\"],[\"charleston\",63968,\"usa\",\"west virginia\"],[\"huntington\",63684,\"usa\",\"west virginia\"],[\"milwaukee\",636212,\"usa\",\"wisconsin\"],[\"madison\",170616,\"usa\",\"wisconsin\"],[\"green bay\",87899,\"usa\",\"wisconsin\"],[\"racine\",85725,\"usa\",\"wisconsin\"],[\"kenosha\",77685,\"usa\",\"wisconsin\"],[\"west allis\",63982,\"usa\",\"wisconsin\"],[\"appleton\",58913,\"usa\",\"wisconsin\"],[\"casper\",51016,\"usa\",\"wyoming\"]]}" ]
what are the major cities in rhode island <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : city_name row 1 : providence
SELECT city.city_name FROM city WHERE city.state_name='missouri' AND city.population>150000;
what are the major cities in missouri
{"columns":["city_name"],"index":[0,1],"data":[["st. louis"],["kansas city"]]}
[ "city" ]
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island\"],[\"cranston\",71992,\"usa\",\"rhode island\"],[\"pawtucket\",71204,\"usa\",\"rhode island\"],[\"columbia\",101229,\"usa\",\"south carolina\"],[\"charleston\",69855,\"usa\",\"south carolina\"],[\"north charleston\",62504,\"usa\",\"south carolina\"],[\"greenville\",58242,\"usa\",\"south carolina\"],[\"sioux falls\",81343,\"usa\",\"south dakota\"],[\"memphis\",646356,\"usa\",\"tennessee\"],[\"nashville\",455651,\"usa\",\"tennessee\"],[\"knoxville\",175030,\"usa\",\"tennessee\"],[\"chattanooga\",169728,\"usa\",\"tennessee\"],[\"houston\",1595138,\"usa\",\"texas\"],[\"dallas\",904078,\"usa\",\"texas\"],[\"san antonio\",785880,\"usa\",\"texas\"],[\"el paso\",425259,\"usa\",\"texas\"],[\"fort worth\",385164,\"usa\",\"texas\"],[\"austin\",345496,\"usa\",\"texas\"],[\"corpus christi\",231999,\"usa\",\"texas\"],[\"lubbock\",173979,\"usa\",\"texas\"],[\"arlington\",160123,\"usa\",\"texas\"],[\"amarillo\",149230,\"usa\",\"texas\"],[\"garland\",138857,\"usa\",\"texas\"],[\"beaumont\",118102,\"usa\",\"texas\"],[\"pasadena\",112560,\"usa\",\"texas\"],[\"irving\",109943,\"usa\",\"texas\"],[\"waco\",101261,\"usa\",\"texas\"],[\"abilene\",98315,\"usa\",\"texas\"],[\"wichita falls\",94201,\"usa\",\"texas\"],[\"laredo\",91449,\"usa\",\"texas\"],[\"odessa\",90027,\"usa\",\"texas\"],[\"brownsville\",84997,\"usa\",\"texas\"],[\"san angelo\",73240,\"usa\",\"texas\"],[\"richardson\",72496,\"usa\",\"texas\"],[\"plano\",72331,\"usa\",\"texas\"],[\"grand prairie\",71462,\"usa\",\"texas\"],[\"midland\",70525,\"usa\",\"texas\"],[\"tyler\",70508,\"usa\",\"texas\"],[\"mesquite\",67053,\"usa\",\"texas\"],[\"mcallen\",67042,\"usa\",\"texas\"],[\"longview\",62762,\"usa\",\"texas\"],[\"port arthur\",61195,\"usa\",\"texas\"],[\"salt lake city\",163034,\"usa\",\"utah\"],[\"provo\",74111,\"usa\",\"utah\"],[\"west valley\",72299,\"usa\",\"utah\"],[\"ogden\",64407,\"usa\",\"utah\"],[\"norfolk\",266979,\"usa\",\"virginia\"],[\"virginia beach\",262199,\"usa\",\"virginia\"],[\"richmond\",219214,\"usa\",\"virginia\"],[\"arlington\",152599,\"usa\",\"virginia\"],[\"newport news\",144903,\"usa\",\"virginia\"],[\"hampton\",122617,\"usa\",\"virginia\"],[\"chesapeake\",114226,\"usa\",\"virginia\"],[\"portsmouth\",104577,\"usa\",\"virginia\"],[\"alexandria\",103217,\"usa\",\"virginia\"],[\"roanoke\",100427,\"usa\",\"virginia\"],[\"lynchburg\",66743,\"usa\",\"virginia\"],[\"seattle\",493846,\"usa\",\"washington\"],[\"spokane\",171300,\"usa\",\"washington\"],[\"tacoma\",158501,\"usa\",\"washington\"],[\"bellevue\",73903,\"usa\",\"washington\"],[\"charleston\",63968,\"usa\",\"west virginia\"],[\"huntington\",63684,\"usa\",\"west virginia\"],[\"milwaukee\",636212,\"usa\",\"wisconsin\"],[\"madison\",170616,\"usa\",\"wisconsin\"],[\"green bay\",87899,\"usa\",\"wisconsin\"],[\"racine\",85725,\"usa\",\"wisconsin\"],[\"kenosha\",77685,\"usa\",\"wisconsin\"],[\"west allis\",63982,\"usa\",\"wisconsin\"],[\"appleton\",58913,\"usa\",\"wisconsin\"],[\"casper\",51016,\"usa\",\"wyoming\"]]}" ]
what are the major cities in missouri <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : city_name row 1 : st. louis row 2 : kansas city
SELECT state.area FROM state WHERE state.density=(SELECT min(state.density) FROM state);
what is the area of the state with the smallest population density
{"columns":["area"],"index":[0],"data":[[591000.0]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what is the area of the state with the smallest population density <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : area row 1 : 591000
SELECT state.capital FROM state WHERE state.state_name='new hampshire';
what is the capital of new hampshire
{"columns":["capital"],"index":[0],"data":[["concord"]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what is the capital of new hampshire <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : capital row 1 : concord
SELECT highlow.state_name FROM highlow WHERE highlow.highest_elevation>(SELECT highlow.highest_elevation FROM highlow WHERE highlow.state_name='colorado');
which states have points higher than the highest point in colorado
{"columns":["state_name"],"index":[0,1,2,3,4,5,6,7,8,9,10,11,12],"data":[["alabama"],["alaska"],["arkansas"],["california"],["connecticut"],["iowa"],["michigan"],["minnesota"],["missouri"],["new jersey"],["ohio"],["pennsylvania"],["wisconsin"]]}
[ "highlow" ]
[ "{\"columns\":[\"state_name\",\"highest_elevation\",\"lowest_point\",\"highest_point\",\"lowest_elevation\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",\"734\",\"gulf of mexico\",\"cheaha mountain\",\"0\"],[\"alaska\",\"6194\",\"pacific ocean\",\"mount mckinley\",\"0\"],[\"arizona\",\"3851\",\"colorado river\",\"humphreys peak\",\"21\"],[\"arkansas\",\"839\",\"ouachita river\",\"magazine mountain\",\"17\"],[\"california\",\"4418\",\"death valley\",\"mount whitney\",\"-85\"],[\"colorado\",\"4399\",\"arkansas river\",\"mount elbert\",\"1021\"],[\"connecticut\",\"725\",\"long island sound\",\"mount frissell\",\"0\"],[\"delaware\",\"135\",\"atlantic ocean\",\"centerville\",\"0\"],[\"district of columbia\",\"125\",\"potomac river\",\"tenleytown\",\"0\"],[\"florida\",\"105\",\"atlantic ocean\",\"walton county\",\"0\"],[\"georgia\",\"1458\",\"atlantic ocean\",\"brasstown bald\",\"0\"],[\"hawaii\",\"4205\",\"pacific ocean\",\"mauna kea\",\"0\"],[\"idaho\",\"3859\",\"snake river\",\"borah peak\",\"216\"],[\"illinois\",\"376\",\"mississippi river\",\"charles mound\",\"85\"],[\"indiana\",\"383\",\"ohio river\",\"franklin township\",\"98\"],[\"iowa\",\"511\",\"mississippi river\",\"ocheyedan mound\",\"146\"],[\"kansas\",\"1231\",\"verdigris river\",\"mount sunflower\",\"207\"],[\"kentucky\",\"1263\",\"mississippi river\",\"black mountain\",\"78\"],[\"louisiana\",\"163\",\"new orleans\",\"driskill mountain\",\"-1\"],[\"maine\",\"1606\",\"atlantic ocean\",\"mount katahdin\",\"0\"],[\"maryland\",\"1024\",\"atlantic ocean\",\"backbone mountain\",\"0\"],[\"massachusetts\",\"1064\",\"atlantic ocean\",\"mount greylock\",\"0\"],[\"michigan\",\"604\",\"lake erie\",\"mount curwood\",\"174\"],[\"minnesota\",\"701\",\"lake superior\",\"eagle mountain\",\"183\"],[\"mississippi\",\"246\",\"gulf of mexico\",\"woodall mountain\",\"0\"],[\"missouri\",\"540\",\"st. francis river\",\"taum sauk mountain\",\"70\"],[\"montana\",\"3901\",\"kootenai river\",\"granite peak\",\"549\"],[\"nebraska\",\"1654\",\"southeast corner\",\"johnson township\",\"256\"],[\"nevada\",\"4005\",\"colorado river\",\"boundary peak\",\"143\"],[\"new hampshire\",\"1917\",\"atlantic ocean\",\"mount washington\",\"0\"],[\"new jersey\",\"550\",\"atlantic ocean\",\"high point\",\"0\"],[\"new mexico\",\"4011\",\"red bluff reservoir\",\"wheeler peak\",\"859\"],[\"new york\",\"1629\",\"atlantic ocean\",\"mount marcy\",\"0\"],[\"north carolina\",\"2037\",\"atlantic ocean\",\"mount mitchell\",\"0\"],[\"north dakota\",\"1069\",\"red river\",\"white butte\",\"229\"],[\"ohio\",\"472\",\"ohio river\",\"campbell hill\",\"132\"],[\"oklahoma\",\"1516\",\"little river\",\"black mesa\",\"87\"],[\"oregon\",\"3424\",\"pacific ocean\",\"mount hood\",\"0\"],[\"pennsylvania\",\"979\",\"delaware river\",\"mount davis\",\"0\"],[\"rhode island\",\"247\",\"atlantic ocean\",\"jerimoth hill\",\"0\"],[\"south carolina\",\"1085\",\"atlantic ocean\",\"sassafras mountain\",\"0\"],[\"south dakota\",\"2207\",\"big stone lake\",\"harney peak\",\"284\"],[\"tennessee\",\"2025\",\"mississippi river\",\"clingmans dome\",\"55\"],[\"texas\",\"2667\",\"gulf of mexico\",\"guadalupe peak\",\"0\"],[\"utah\",\"4123\",\"beaver dam creek\",\"kings peak\",\"610\"],[\"vermont\",\"1339\",\"lake champlain\",\"mount mansfield\",\"29\"],[\"virginia\",\"1746\",\"atlantic ocean\",\"mount rogers\",\"0\"],[\"washington\",\"4392\",\"pacific ocean\",\"mount rainier\",\"0\"],[\"west virginia\",\"1482\",\"potomac river\",\"spruce knob\",\"73\"],[\"wisconsin\",\"595\",\"lake michigan\",\"timms hill\",\"177\"],[\"wyoming\",\"4202\",\"belle fourche river\",\"gannett peak\",\"945\"]]}" ]
which states have points higher than the highest point in colorado <table_name> : highlow col : state_name | highest_elevation | lowest_point | highest_point | lowest_elevation row 1 : alabama | 734 | gulf of mexico | cheaha mountain | 0 row 2 : alaska | 6194 | pacific ocean | mount mckinley | 0 row 3 : arizona | 3851 | colorado river | humphreys peak | 21 row 4 : arkansas | 839 | ouachita river | magazine mountain | 17 row 5 : california | 4418 | death valley | mount whitney | -85 row 6 : colorado | 4399 | arkansas river | mount elbert | 1021 row 7 : connecticut | 725 | long island sound | mount frissell | 0 row 8 : delaware | 135 | atlantic ocean | centerville | 0 row 9 : district of columbia | 125 | potomac river | tenleytown | 0 row 10 : florida | 105 | atlantic ocean | walton county | 0 row 11 : georgia | 1458 | atlantic ocean | brasstown bald | 0 row 12 : hawaii | 4205 | pacific ocean | mauna kea | 0 row 13 : idaho | 3859 | snake river | borah peak | 216 row 14 : illinois | 376 | mississippi river | charles mound | 85 row 15 : indiana | 383 | ohio river | franklin township | 98 row 16 : iowa | 511 | mississippi river | ocheyedan mound | 146 row 17 : kansas | 1231 | verdigris river | mount sunflower | 207 row 18 : kentucky | 1263 | mississippi river | black mountain | 78 row 19 : louisiana | 163 | new orleans | driskill mountain | -1 row 20 : maine | 1606 | atlantic ocean | mount katahdin | 0 row 21 : maryland | 1024 | atlantic ocean | backbone mountain | 0 row 22 : massachusetts | 1064 | atlantic ocean | mount greylock | 0 row 23 : michigan | 604 | lake erie | mount curwood | 174 row 24 : minnesota | 701 | lake superior | eagle mountain | 183 row 25 : mississippi | 246 | gulf of mexico | woodall mountain | 0 row 26 : missouri | 540 | st. francis river | taum sauk mountain | 70 row 27 : montana | 3901 | kootenai river | granite peak | 549 row 28 : nebraska | 1654 | southeast corner | johnson township | 256 row 29 : nevada | 4005 | colorado river | boundary peak | 143 row 30 : new hampshire | 1917 | atlantic ocean | mount washington | 0 row 31 : new jersey | 550 | atlantic ocean | high point | 0 row 32 : new mexico | 4011 | red bluff reservoir | wheeler peak | 859 row 33 : new york | 1629 | atlantic ocean | mount marcy | 0 row 34 : north carolina | 2037 | atlantic ocean | mount mitchell | 0 row 35 : north dakota | 1069 | red river | white butte | 229 row 36 : ohio | 472 | ohio river | campbell hill | 132 row 37 : oklahoma | 1516 | little river | black mesa | 87 row 38 : oregon | 3424 | pacific ocean | mount hood | 0 row 39 : pennsylvania | 979 | delaware river | mount davis | 0 row 40 : rhode island | 247 | atlantic ocean | jerimoth hill | 0 row 41 : south carolina | 1085 | atlantic ocean | sassafras mountain | 0 row 42 : south dakota | 2207 | big stone lake | harney peak | 284 row 43 : tennessee | 2025 | mississippi river | clingmans dome | 55 row 44 : texas | 2667 | gulf of mexico | guadalupe peak | 0 row 45 : utah | 4123 | beaver dam creek | kings peak | 610 row 46 : vermont | 1339 | lake champlain | mount mansfield | 29 row 47 : virginia | 1746 | atlantic ocean | mount rogers | 0 row 48 : washington | 4392 | pacific ocean | mount rainier | 0 row 49 : west virginia | 1482 | potomac river | spruce knob | 73 row 50 : wisconsin | 595 | lake michigan | timms hill | 177 row 51 : wyoming | 4202 | belle fourche river | gannett peak | 945
col : state_name row 1 : alabama row 2 : alaska row 3 : arkansas row 4 : california row 5 : connecticut row 6 : iowa row 7 : michigan row 8 : minnesota row 9 : missouri row 10 : new jersey row 11 : ohio row 12 : pennsylvania row 13 : wisconsin
SELECT highlow.state_name FROM highlow WHERE highlow.highest_elevation=(SELECT max(highlow.highest_elevation) FROM highlow);
what state contains the highest point in the us
{"columns":["state_name"],"index":[0],"data":[["pennsylvania"]]}
[ "highlow" ]
[ "{\"columns\":[\"state_name\",\"highest_elevation\",\"lowest_point\",\"highest_point\",\"lowest_elevation\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",\"734\",\"gulf of mexico\",\"cheaha mountain\",\"0\"],[\"alaska\",\"6194\",\"pacific ocean\",\"mount mckinley\",\"0\"],[\"arizona\",\"3851\",\"colorado river\",\"humphreys peak\",\"21\"],[\"arkansas\",\"839\",\"ouachita river\",\"magazine mountain\",\"17\"],[\"california\",\"4418\",\"death valley\",\"mount whitney\",\"-85\"],[\"colorado\",\"4399\",\"arkansas river\",\"mount elbert\",\"1021\"],[\"connecticut\",\"725\",\"long island sound\",\"mount frissell\",\"0\"],[\"delaware\",\"135\",\"atlantic ocean\",\"centerville\",\"0\"],[\"district of columbia\",\"125\",\"potomac river\",\"tenleytown\",\"0\"],[\"florida\",\"105\",\"atlantic ocean\",\"walton county\",\"0\"],[\"georgia\",\"1458\",\"atlantic ocean\",\"brasstown bald\",\"0\"],[\"hawaii\",\"4205\",\"pacific ocean\",\"mauna kea\",\"0\"],[\"idaho\",\"3859\",\"snake river\",\"borah peak\",\"216\"],[\"illinois\",\"376\",\"mississippi river\",\"charles mound\",\"85\"],[\"indiana\",\"383\",\"ohio river\",\"franklin township\",\"98\"],[\"iowa\",\"511\",\"mississippi river\",\"ocheyedan mound\",\"146\"],[\"kansas\",\"1231\",\"verdigris river\",\"mount sunflower\",\"207\"],[\"kentucky\",\"1263\",\"mississippi river\",\"black mountain\",\"78\"],[\"louisiana\",\"163\",\"new orleans\",\"driskill mountain\",\"-1\"],[\"maine\",\"1606\",\"atlantic ocean\",\"mount katahdin\",\"0\"],[\"maryland\",\"1024\",\"atlantic ocean\",\"backbone mountain\",\"0\"],[\"massachusetts\",\"1064\",\"atlantic ocean\",\"mount greylock\",\"0\"],[\"michigan\",\"604\",\"lake erie\",\"mount curwood\",\"174\"],[\"minnesota\",\"701\",\"lake superior\",\"eagle mountain\",\"183\"],[\"mississippi\",\"246\",\"gulf of mexico\",\"woodall mountain\",\"0\"],[\"missouri\",\"540\",\"st. francis river\",\"taum sauk mountain\",\"70\"],[\"montana\",\"3901\",\"kootenai river\",\"granite peak\",\"549\"],[\"nebraska\",\"1654\",\"southeast corner\",\"johnson township\",\"256\"],[\"nevada\",\"4005\",\"colorado river\",\"boundary peak\",\"143\"],[\"new hampshire\",\"1917\",\"atlantic ocean\",\"mount washington\",\"0\"],[\"new jersey\",\"550\",\"atlantic ocean\",\"high point\",\"0\"],[\"new mexico\",\"4011\",\"red bluff reservoir\",\"wheeler peak\",\"859\"],[\"new york\",\"1629\",\"atlantic ocean\",\"mount marcy\",\"0\"],[\"north carolina\",\"2037\",\"atlantic ocean\",\"mount mitchell\",\"0\"],[\"north dakota\",\"1069\",\"red river\",\"white butte\",\"229\"],[\"ohio\",\"472\",\"ohio river\",\"campbell hill\",\"132\"],[\"oklahoma\",\"1516\",\"little river\",\"black mesa\",\"87\"],[\"oregon\",\"3424\",\"pacific ocean\",\"mount hood\",\"0\"],[\"pennsylvania\",\"979\",\"delaware river\",\"mount davis\",\"0\"],[\"rhode island\",\"247\",\"atlantic ocean\",\"jerimoth hill\",\"0\"],[\"south carolina\",\"1085\",\"atlantic ocean\",\"sassafras mountain\",\"0\"],[\"south dakota\",\"2207\",\"big stone lake\",\"harney peak\",\"284\"],[\"tennessee\",\"2025\",\"mississippi river\",\"clingmans dome\",\"55\"],[\"texas\",\"2667\",\"gulf of mexico\",\"guadalupe peak\",\"0\"],[\"utah\",\"4123\",\"beaver dam creek\",\"kings peak\",\"610\"],[\"vermont\",\"1339\",\"lake champlain\",\"mount mansfield\",\"29\"],[\"virginia\",\"1746\",\"atlantic ocean\",\"mount rogers\",\"0\"],[\"washington\",\"4392\",\"pacific ocean\",\"mount rainier\",\"0\"],[\"west virginia\",\"1482\",\"potomac river\",\"spruce knob\",\"73\"],[\"wisconsin\",\"595\",\"lake michigan\",\"timms hill\",\"177\"],[\"wyoming\",\"4202\",\"belle fourche river\",\"gannett peak\",\"945\"]]}" ]
what state contains the highest point in the us <table_name> : highlow col : state_name | highest_elevation | lowest_point | highest_point | lowest_elevation row 1 : alabama | 734 | gulf of mexico | cheaha mountain | 0 row 2 : alaska | 6194 | pacific ocean | mount mckinley | 0 row 3 : arizona | 3851 | colorado river | humphreys peak | 21 row 4 : arkansas | 839 | ouachita river | magazine mountain | 17 row 5 : california | 4418 | death valley | mount whitney | -85 row 6 : colorado | 4399 | arkansas river | mount elbert | 1021 row 7 : connecticut | 725 | long island sound | mount frissell | 0 row 8 : delaware | 135 | atlantic ocean | centerville | 0 row 9 : district of columbia | 125 | potomac river | tenleytown | 0 row 10 : florida | 105 | atlantic ocean | walton county | 0 row 11 : georgia | 1458 | atlantic ocean | brasstown bald | 0 row 12 : hawaii | 4205 | pacific ocean | mauna kea | 0 row 13 : idaho | 3859 | snake river | borah peak | 216 row 14 : illinois | 376 | mississippi river | charles mound | 85 row 15 : indiana | 383 | ohio river | franklin township | 98 row 16 : iowa | 511 | mississippi river | ocheyedan mound | 146 row 17 : kansas | 1231 | verdigris river | mount sunflower | 207 row 18 : kentucky | 1263 | mississippi river | black mountain | 78 row 19 : louisiana | 163 | new orleans | driskill mountain | -1 row 20 : maine | 1606 | atlantic ocean | mount katahdin | 0 row 21 : maryland | 1024 | atlantic ocean | backbone mountain | 0 row 22 : massachusetts | 1064 | atlantic ocean | mount greylock | 0 row 23 : michigan | 604 | lake erie | mount curwood | 174 row 24 : minnesota | 701 | lake superior | eagle mountain | 183 row 25 : mississippi | 246 | gulf of mexico | woodall mountain | 0 row 26 : missouri | 540 | st. francis river | taum sauk mountain | 70 row 27 : montana | 3901 | kootenai river | granite peak | 549 row 28 : nebraska | 1654 | southeast corner | johnson township | 256 row 29 : nevada | 4005 | colorado river | boundary peak | 143 row 30 : new hampshire | 1917 | atlantic ocean | mount washington | 0 row 31 : new jersey | 550 | atlantic ocean | high point | 0 row 32 : new mexico | 4011 | red bluff reservoir | wheeler peak | 859 row 33 : new york | 1629 | atlantic ocean | mount marcy | 0 row 34 : north carolina | 2037 | atlantic ocean | mount mitchell | 0 row 35 : north dakota | 1069 | red river | white butte | 229 row 36 : ohio | 472 | ohio river | campbell hill | 132 row 37 : oklahoma | 1516 | little river | black mesa | 87 row 38 : oregon | 3424 | pacific ocean | mount hood | 0 row 39 : pennsylvania | 979 | delaware river | mount davis | 0 row 40 : rhode island | 247 | atlantic ocean | jerimoth hill | 0 row 41 : south carolina | 1085 | atlantic ocean | sassafras mountain | 0 row 42 : south dakota | 2207 | big stone lake | harney peak | 284 row 43 : tennessee | 2025 | mississippi river | clingmans dome | 55 row 44 : texas | 2667 | gulf of mexico | guadalupe peak | 0 row 45 : utah | 4123 | beaver dam creek | kings peak | 610 row 46 : vermont | 1339 | lake champlain | mount mansfield | 29 row 47 : virginia | 1746 | atlantic ocean | mount rogers | 0 row 48 : washington | 4392 | pacific ocean | mount rainier | 0 row 49 : west virginia | 1482 | potomac river | spruce knob | 73 row 50 : wisconsin | 595 | lake michigan | timms hill | 177 row 51 : wyoming | 4202 | belle fourche river | gannett peak | 945
col : state_name row 1 : pennsylvania
SELECT state.area FROM state WHERE state.state_name='north dakota';
how big is north dakota
{"columns":["area"],"index":[0],"data":[[70700.0]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
how big is north dakota <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : area row 1 : 70700
SELECT river.traverse FROM river GROUP BY river.traverse ORDER BY count(1) DESC LIMIT 1;
what state has the most rivers running through it ?
{"columns":["traverse"],"index":[0],"data":[["colorado"]]}
[ "river" ]
[ "{\"columns\":[\"river_name\",\"length\",\"country_name\",\"traverse\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148],\"data\":[[\"mississippi\",3778,\"usa\",\"minnesota\"],[\"mississippi\",3778,\"usa\",\"wisconsin\"],[\"mississippi\",3778,\"usa\",\"iowa\"],[\"mississippi\",3778,\"usa\",\"illinois\"],[\"mississippi\",3778,\"usa\",\"missouri\"],[\"mississippi\",3778,\"usa\",\"kentucky\"],[\"mississippi\",3778,\"usa\",\"tennessee\"],[\"mississippi\",3778,\"usa\",\"arkansas\"],[\"mississippi\",3778,\"usa\",\"mississippi\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"missouri\",3968,\"usa\",\"montana\"],[\"missouri\",3968,\"usa\",\"north dakota\"],[\"missouri\",3968,\"usa\",\"south dakota\"],[\"missouri\",3968,\"usa\",\"iowa\"],[\"missouri\",3968,\"usa\",\"nebraska\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"colorado\",2333,\"usa\",\"colorado\"],[\"colorado\",2333,\"usa\",\"utah\"],[\"colorado\",2333,\"usa\",\"arizona\"],[\"colorado\",2333,\"usa\",\"nevada\"],[\"colorado\",2333,\"usa\",\"california\"],[\"ohio\",1569,\"usa\",\"pennsylvania\"],[\"ohio\",1569,\"usa\",\"west virginia\"],[\"ohio\",1569,\"usa\",\"kentucky\"],[\"ohio\",1569,\"usa\",\"indiana\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"ohio\"],[\"red\",1638,\"usa\",\"new mexico\"],[\"red\",1638,\"usa\",\"texas\"],[\"red\",1638,\"usa\",\"oklahoma\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"louisiana\"],[\"arkansas\",2333,\"usa\",\"colorado\"],[\"arkansas\",2333,\"usa\",\"kansas\"],[\"arkansas\",2333,\"usa\",\"oklahoma\"],[\"arkansas\",2333,\"usa\",\"arkansas\"],[\"canadian\",1458,\"usa\",\"colorado\"],[\"canadian\",1458,\"usa\",\"new mexico\"],[\"canadian\",1458,\"usa\",\"texas\"],[\"canadian\",1458,\"usa\",\"oklahoma\"],[\"connecticut\",655,\"usa\",\"new hampshire\"],[\"connecticut\",655,\"usa\",\"vermont\"],[\"connecticut\",655,\"usa\",\"massachusetts\"],[\"connecticut\",655,\"usa\",\"connecticut\"],[\"delaware\",451,\"usa\",\"new york\"],[\"delaware\",451,\"usa\",\"pennsylvania\"],[\"delaware\",451,\"usa\",\"new jersey\"],[\"delaware\",451,\"usa\",\"delaware\"],[\"little missouri\",901,\"usa\",\"wyoming\"],[\"little missouri\",901,\"usa\",\"montana\"],[\"little missouri\",901,\"usa\",\"south dakota\"],[\"little missouri\",901,\"usa\",\"north dakota\"],[\"snake\",1670,\"usa\",\"wyoming\"],[\"snake\",1670,\"usa\",\"idaho\"],[\"snake\",1670,\"usa\",\"oregon\"],[\"snake\",1670,\"usa\",\"washington\"],[\"snake\",1670,\"usa\",\"washington\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"florida\"],[\"cimarron\",965,\"usa\",\"new mexico\"],[\"cimarron\",965,\"usa\",\"kansas\"],[\"cimarron\",965,\"usa\",\"oklahoma\"],[\"green\",1175,\"usa\",\"wyoming\"],[\"green\",1175,\"usa\",\"utah\"],[\"green\",1175,\"usa\",\"colorado\"],[\"green\",1175,\"usa\",\"utah\"],[\"north platte\",1094,\"usa\",\"colorado\"],[\"north platte\",1094,\"usa\",\"wyoming\"],[\"north platte\",1094,\"usa\",\"nebraska\"],[\"potomac\",462,\"usa\",\"west virginia\"],[\"potomac\",462,\"usa\",\"maryland\"],[\"potomac\",462,\"usa\",\"virginia\"],[\"potomac\",462,\"usa\",\"district of columbia\"],[\"republican\",679,\"usa\",\"colorado\"],[\"republican\",679,\"usa\",\"nebraska\"],[\"republican\",679,\"usa\",\"kansas\"],[\"rio grande\",3033,\"usa\",\"colorado\"],[\"rio grande\",3033,\"usa\",\"new mexico\"],[\"rio grande\",3033,\"usa\",\"texas\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"new mexico\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"utah\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"alabama\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"kentucky\"],[\"wabash\",764,\"usa\",\"ohio\"],[\"wabash\",764,\"usa\",\"indiana\"],[\"wabash\",764,\"usa\",\"illinois\"],[\"yellowstone\",1080,\"usa\",\"wyoming\"],[\"yellowstone\",1080,\"usa\",\"montana\"],[\"yellowstone\",1080,\"usa\",\"north dakota\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"allegheny\",523,\"usa\",\"new york\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"bighorn\",541,\"usa\",\"wyoming\"],[\"bighorn\",541,\"usa\",\"montana\"],[\"cheyenne\",848,\"usa\",\"wyoming\"],[\"cheyenne\",848,\"usa\",\"north dakota\"],[\"clark fork\",483,\"usa\",\"montana\"],[\"clark fork\",483,\"usa\",\"idaho\"],[\"columbia\",1953,\"usa\",\"washington\"],[\"columbia\",1953,\"usa\",\"oregon\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"cumberland\",1105,\"usa\",\"tennessee\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"dakota\",1142,\"usa\",\"north dakota\"],[\"dakota\",1142,\"usa\",\"south dakota\"],[\"gila\",805,\"usa\",\"new mexico\"],[\"gila\",805,\"usa\",\"arizona\"],[\"hudson\",492,\"usa\",\"new york\"],[\"hudson\",492,\"usa\",\"new jersey\"],[\"neosho\",740,\"usa\",\"kansas\"],[\"neosho\",740,\"usa\",\"oklahoma\"],[\"niobrara\",693,\"usa\",\"wyoming\"],[\"niobrara\",693,\"usa\",\"nebraska\"],[\"ouachita\",973,\"usa\",\"arkansas\"],[\"ouachita\",973,\"usa\",\"louisiana\"],[\"pearl\",788,\"usa\",\"michigan\"],[\"pearl\",788,\"usa\",\"louisiana\"],[\"pecos\",805,\"usa\",\"new mexico\"],[\"pecos\",805,\"usa\",\"texas\"],[\"powder\",603,\"usa\",\"wyoming\"],[\"powder\",603,\"usa\",\"montana\"],[\"roanoke\",660,\"usa\",\"virginia\"],[\"roanoke\",660,\"usa\",\"north carolina\"],[\"rock\",459,\"usa\",\"wisconsin\"],[\"rock\",459,\"usa\",\"illinois\"],[\"smoky hill\",869,\"usa\",\"colorado\"],[\"smoky hill\",869,\"usa\",\"kansas\"],[\"south platte\",682,\"usa\",\"colorado\"],[\"south platte\",682,\"usa\",\"nebraska\"],[\"st. francis\",684,\"usa\",\"missouri\"],[\"st. francis\",684,\"usa\",\"arkansas\"],[\"tombigbee\",658,\"usa\",\"mississippi\"],[\"tombigbee\",658,\"usa\",\"alabama\"],[\"washita\",805,\"usa\",\"texas\"],[\"washita\",805,\"usa\",\"oklahoma\"],[\"wateree catawba\",636,\"usa\",\"north carolina\"],[\"wateree catawba\",636,\"usa\",\"south carolina\"],[\"white\",1110,\"usa\",\"arkansas\"],[\"white\",1110,\"usa\",\"missouri\"],[\"white\",1110,\"usa\",\"arkansas\"]]}" ]
what state has the most rivers running through it ? <table_name> : river col : river_name | length | country_name | traverse row 1 : mississippi | 3778 | usa | minnesota row 2 : mississippi | 3778 | usa | wisconsin row 3 : mississippi | 3778 | usa | iowa row 4 : mississippi | 3778 | usa | illinois row 5 : mississippi | 3778 | usa | missouri row 6 : mississippi | 3778 | usa | kentucky row 7 : mississippi | 3778 | usa | tennessee row 8 : mississippi | 3778 | usa | arkansas row 9 : mississippi | 3778 | usa | mississippi row 10 : mississippi | 3778 | usa | louisiana row 11 : mississippi | 3778 | usa | louisiana row 12 : missouri | 3968 | usa | montana row 13 : missouri | 3968 | usa | north dakota row 14 : missouri | 3968 | usa | south dakota row 15 : missouri | 3968 | usa | iowa row 16 : missouri | 3968 | usa | nebraska row 17 : missouri | 3968 | usa | missouri row 18 : missouri | 3968 | usa | missouri row 19 : colorado | 2333 | usa | colorado row 20 : colorado | 2333 | usa | utah row 21 : colorado | 2333 | usa | arizona row 22 : colorado | 2333 | usa | nevada row 23 : colorado | 2333 | usa | california row 24 : ohio | 1569 | usa | pennsylvania row 25 : ohio | 1569 | usa | west virginia row 26 : ohio | 1569 | usa | kentucky row 27 : ohio | 1569 | usa | indiana row 28 : ohio | 1569 | usa | illinois row 29 : ohio | 1569 | usa | illinois row 30 : ohio | 1569 | usa | ohio row 31 : red | 1638 | usa | new mexico row 32 : red | 1638 | usa | texas row 33 : red | 1638 | usa | oklahoma row 34 : red | 1638 | usa | arkansas row 35 : red | 1638 | usa | arkansas row 36 : red | 1638 | usa | louisiana row 37 : arkansas | 2333 | usa | colorado row 38 : arkansas | 2333 | usa | kansas row 39 : arkansas | 2333 | usa | oklahoma row 40 : arkansas | 2333 | usa | arkansas row 41 : canadian | 1458 | usa | colorado row 42 : canadian | 1458 | usa | new mexico row 43 : canadian | 1458 | usa | texas row 44 : canadian | 1458 | usa | oklahoma row 45 : connecticut | 655 | usa | new hampshire row 46 : connecticut | 655 | usa | vermont row 47 : connecticut | 655 | usa | massachusetts row 48 : connecticut | 655 | usa | connecticut row 49 : delaware | 451 | usa | new york row 50 : delaware | 451 | usa | pennsylvania row 51 : delaware | 451 | usa | new jersey row 52 : delaware | 451 | usa | delaware row 53 : little missouri | 901 | usa | wyoming row 54 : little missouri | 901 | usa | montana row 55 : little missouri | 901 | usa | south dakota row 56 : little missouri | 901 | usa | north dakota row 57 : snake | 1670 | usa | wyoming row 58 : snake | 1670 | usa | idaho row 59 : snake | 1670 | usa | oregon row 60 : snake | 1670 | usa | washington row 61 : snake | 1670 | usa | washington row 62 : chattahoochee | 702 | usa | georgia row 63 : chattahoochee | 702 | usa | georgia row 64 : chattahoochee | 702 | usa | florida row 65 : cimarron | 965 | usa | new mexico row 66 : cimarron | 965 | usa | kansas row 67 : cimarron | 965 | usa | oklahoma row 68 : green | 1175 | usa | wyoming row 69 : green | 1175 | usa | utah row 70 : green | 1175 | usa | colorado row 71 : green | 1175 | usa | utah row 72 : north platte | 1094 | usa | colorado row 73 : north platte | 1094 | usa | wyoming row 74 : north platte | 1094 | usa | nebraska row 75 : potomac | 462 | usa | west virginia row 76 : potomac | 462 | usa | maryland row 77 : potomac | 462 | usa | virginia row 78 : potomac | 462 | usa | district of columbia row 79 : republican | 679 | usa | colorado row 80 : republican | 679 | usa | nebraska row 81 : republican | 679 | usa | kansas row 82 : rio grande | 3033 | usa | colorado row 83 : rio grande | 3033 | usa | new mexico row 84 : rio grande | 3033 | usa | texas row 85 : san juan | 579 | usa | colorado row 86 : san juan | 579 | usa | new mexico row 87 : san juan | 579 | usa | colorado row 88 : san juan | 579 | usa | utah row 89 : tennessee | 1049 | usa | tennessee row 90 : tennessee | 1049 | usa | alabama row 91 : tennessee | 1049 | usa | tennessee row 92 : tennessee | 1049 | usa | kentucky row 93 : wabash | 764 | usa | ohio row 94 : wabash | 764 | usa | indiana row 95 : wabash | 764 | usa | illinois row 96 : yellowstone | 1080 | usa | wyoming row 97 : yellowstone | 1080 | usa | montana row 98 : yellowstone | 1080 | usa | north dakota row 99 : allegheny | 523 | usa | pennsylvania row 100 : allegheny | 523 | usa | new york row 101 : allegheny | 523 | usa | pennsylvania row 102 : bighorn | 541 | usa | wyoming row 103 : bighorn | 541 | usa | montana row 104 : cheyenne | 848 | usa | wyoming row 105 : cheyenne | 848 | usa | north dakota row 106 : clark fork | 483 | usa | montana row 107 : clark fork | 483 | usa | idaho row 108 : columbia | 1953 | usa | washington row 109 : columbia | 1953 | usa | oregon row 110 : cumberland | 1105 | usa | kentucky row 111 : cumberland | 1105 | usa | tennessee row 112 : cumberland | 1105 | usa | kentucky row 113 : dakota | 1142 | usa | north dakota row 114 : dakota | 1142 | usa | south dakota row 115 : gila | 805 | usa | new mexico row 116 : gila | 805 | usa | arizona row 117 : hudson | 492 | usa | new york row 118 : hudson | 492 | usa | new jersey row 119 : neosho | 740 | usa | kansas row 120 : neosho | 740 | usa | oklahoma row 121 : niobrara | 693 | usa | wyoming row 122 : niobrara | 693 | usa | nebraska row 123 : ouachita | 973 | usa | arkansas row 124 : ouachita | 973 | usa | louisiana row 125 : pearl | 788 | usa | michigan row 126 : pearl | 788 | usa | louisiana row 127 : pecos | 805 | usa | new mexico row 128 : pecos | 805 | usa | texas row 129 : powder | 603 | usa | wyoming row 130 : powder | 603 | usa | montana row 131 : roanoke | 660 | usa | virginia row 132 : roanoke | 660 | usa | north carolina row 133 : rock | 459 | usa | wisconsin row 134 : rock | 459 | usa | illinois row 135 : smoky hill | 869 | usa | colorado row 136 : smoky hill | 869 | usa | kansas row 137 : south platte | 682 | usa | colorado row 138 : south platte | 682 | usa | nebraska row 139 : st. francis | 684 | usa | missouri row 140 : st. francis | 684 | usa | arkansas row 141 : tombigbee | 658 | usa | mississippi row 142 : tombigbee | 658 | usa | alabama row 143 : washita | 805 | usa | texas row 144 : washita | 805 | usa | oklahoma row 145 : wateree catawba | 636 | usa | north carolina row 146 : wateree catawba | 636 | usa | south carolina row 147 : white | 1110 | usa | arkansas row 148 : white | 1110 | usa | missouri row 149 : white | 1110 | usa | arkansas
col : traverse row 1 : colorado
SELECT state.area FROM state WHERE state.state_name='massachusetts';
how big is massachusetts
{"columns":["area"],"index":[0],"data":[[8284.0]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
how big is massachusetts <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : area row 1 : 8284
SELECT b1.border FROM border_info b1, border_info b2, border_info b3, border_info b4 WHERE b1.state_name = b2.border AND b2.state_name = b3.border AND b3.state_name = b4.border AND b4.state_name = 'texas';
what states border states that border states that border states that border texas
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[ "border_info" ]
[ 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mexico\",\"oklahoma\"],[\"new mexico\",\"texas\"],[\"new mexico\",\"arizona\"],[\"new mexico\",\"utah\"],[\"new york\",\"vermont\"],[\"new york\",\"massachusetts\"],[\"new york\",\"connecticut\"],[\"new york\",\"new jersey\"],[\"new york\",\"pennsylvania\"],[\"north carolina\",\"virginia\"],[\"north carolina\",\"south carolina\"],[\"north carolina\",\"georgia\"],[\"north carolina\",\"tennessee\"],[\"north dakota\",\"minnesota\"],[\"north dakota\",\"south dakota\"],[\"north dakota\",\"montana\"],[\"ohio\",\"michigan\"],[\"ohio\",\"pennsylvania\"],[\"ohio\",\"west virginia\"],[\"ohio\",\"kentucky\"],[\"ohio\",\"indiana\"],[\"oklahoma\",\"kansas\"],[\"oklahoma\",\"missouri\"],[\"oklahoma\",\"arkansas\"],[\"oklahoma\",\"texas\"],[\"oklahoma\",\"new mexico\"],[\"oklahoma\",\"colorado\"],[\"oregon\",\"washington\"],[\"oregon\",\"idaho\"],[\"oregon\",\"nevada\"],[\"oregon\",\"california\"],[\"pennsylvania\",\"new york\"],[\"pennsylvania\",\"new jersey\"],[\"pennsylvania\",\"delaware\"],[\"pennsylvania\",\"maryland\"],[\"pennsylvania\",\"west virginia\"],[\"pennsylvania\",\"ohio\"],[\"rhode island\",\"massachusetts\"],[\"rhode island\",\"connecticut\"],[\"south carolina\",\"north carolina\"],[\"south carolina\",\"georgia\"],[\"south dakota\",\"north dakota\"],[\"south dakota\",\"minnesota\"],[\"south dakota\",\"iowa\"],[\"south dakota\",\"nebraska\"],[\"south dakota\",\"wyoming\"],[\"south dakota\",\"montana\"],[\"tennessee\",\"kentucky\"],[\"tennessee\",\"virginia\"],[\"tennessee\",\"north carolina\"],[\"tennessee\",\"georgia\"],[\"tennessee\",\"alabama\"],[\"tennessee\",\"mississippi\"],[\"tennessee\",\"arkansas\"],[\"tennessee\",\"missouri\"],[\"texas\",\"oklahoma\"],[\"texas\",\"arkansas\"],[\"texas\",\"louisiana\"],[\"texas\",\"new mexico\"],[\"utah\",\"wyoming\"],[\"utah\",\"colorado\"],[\"utah\",\"new mexico\"],[\"utah\",\"arizona\"],[\"utah\",\"nevada\"],[\"utah\",\"idaho\"],[\"vermont\",\"new hampshire\"],[\"vermont\",\"massachusetts\"],[\"vermont\",\"new york\"],[\"virginia\",\"maryland\"],[\"virginia\",\"district of columbia\"],[\"virginia\",\"north carolina\"],[\"virginia\",\"tennessee\"],[\"virginia\",\"kentucky\"],[\"virginia\",\"west virginia\"],[\"washington\",\"idaho\"],[\"washington\",\"oregon\"],[\"west virginia\",\"pennsylvania\"],[\"west virginia\",\"maryland\"],[\"west virginia\",\"virginia\"],[\"west virginia\",\"kentucky\"],[\"west virginia\",\"ohio\"],[\"wisconsin\",\"michigan\"],[\"wisconsin\",\"illinois\"],[\"wisconsin\",\"iowa\"],[\"wisconsin\",\"minnesota\"],[\"wyoming\",\"montana\"],[\"wyoming\",\"south dakota\"],[\"wyoming\",\"nebraska\"],[\"wyoming\",\"colorado\"],[\"wyoming\",\"utah\"],[\"wyoming\",\"idaho\"]]}" ]
what states border states that border states that border states that border texas <table_name> : border_info col : state_name | border row 1 : alabama | tennessee row 2 : alabama | georgia row 3 : alabama | florida row 4 : alabama | mississippi row 5 : arizona | utah row 6 : arizona | colorado row 7 : arizona | new mexico row 8 : arizona | california row 9 : arizona | nevada row 10 : arkansas | missouri row 11 : arkansas | tennessee row 12 : arkansas | mississippi row 13 : arkansas | louisiana row 14 : arkansas | texas row 15 : arkansas | oklahoma row 16 : california | oregon row 17 : california | nevada row 18 : california | arizona row 19 : colorado | nebraska row 20 : colorado | kansas row 21 : colorado | oklahoma row 22 : colorado | new mexico row 23 : colorado | arizona row 24 : colorado | utah row 25 : colorado | wyoming row 26 : connecticut | massachusetts row 27 : connecticut | rhode island row 28 : connecticut | new york row 29 : delaware | pennsylvania row 30 : delaware | new jersey row 31 : delaware | maryland row 32 : district of columbia | maryland row 33 : district of columbia | virginia row 34 : florida | georgia row 35 : florida | alabama row 36 : georgia | north carolina row 37 : georgia | south carolina row 38 : georgia | florida row 39 : georgia | alabama row 40 : georgia | tennessee row 41 : idaho | montana row 42 : idaho | wyoming row 43 : idaho | utah row 44 : idaho | nevada row 45 : idaho | oregon row 46 : idaho | washington row 47 : illinois | wisconsin row 48 : illinois | indiana row 49 : illinois | kentucky row 50 : illinois | missouri row 51 : illinois | iowa row 52 : indiana | michigan row 53 : indiana | ohio row 54 : indiana | kentucky row 55 : indiana | illinois row 56 : iowa | minnesota row 57 : iowa | wisconsin row 58 : iowa | illinois row 59 : iowa | missouri row 60 : iowa | nebraska row 61 : iowa | south dakota row 62 : kansas | nebraska row 63 : kansas | missouri row 64 : kansas | oklahoma row 65 : kansas | colorado row 66 : kentucky | indiana row 67 : kentucky | ohio row 68 : kentucky | west virginia row 69 : kentucky | virginia row 70 : kentucky | tennessee row 71 : kentucky | missouri row 72 : kentucky | illinois row 73 : louisiana | arkansas row 74 : louisiana | mississippi row 75 : louisiana | texas row 76 : maine | new hampshire row 77 : maryland | pennsylvania row 78 : maryland | delaware row 79 : maryland | virginia row 80 : maryland | district of columbia row 81 : maryland | west virginia row 82 : massachusetts | new hampshire row 83 : massachusetts | rhode island row 84 : massachusetts | connecticut row 85 : massachusetts | new york row 86 : massachusetts | vermont row 87 : michigan | ohio row 88 : michigan | indiana row 89 : michigan | wisconsin row 90 : minnesota | wisconsin row 91 : minnesota | iowa row 92 : minnesota | south dakota row 93 : minnesota | north dakota row 94 : mississippi | tennessee row 95 : mississippi | alabama row 96 : mississippi | louisiana row 97 : mississippi | arkansas row 98 : missouri | iowa row 99 : missouri | illinois row 100 : missouri | kentucky row 101 : missouri | tennessee row 102 : missouri | arkansas row 103 : missouri | oklahoma row 104 : missouri | kansas row 105 : missouri | nebraska row 106 : montana | north dakota row 107 : montana | south dakota row 108 : montana | wyoming row 109 : montana | idaho row 110 : nebraska | south dakota row 111 : nebraska | iowa row 112 : nebraska | missouri row 113 : nebraska | kansas row 114 : nebraska | colorado row 115 : nebraska | wyoming row 116 : nevada | idaho row 117 : nevada | utah row 118 : nevada | arizona row 119 : nevada | california row 120 : nevada | oregon row 121 : new hampshire | maine row 122 : new hampshire | massachusetts row 123 : new hampshire | vermont row 124 : new jersey | new york row 125 : new jersey | delaware row 126 : new jersey | pennsylvania row 127 : new mexico | colorado row 128 : new mexico | oklahoma row 129 : new mexico | texas row 130 : new mexico | arizona row 131 : new mexico | utah row 132 : new york | vermont row 133 : new york | massachusetts row 134 : new york | connecticut row 135 : new york | new jersey row 136 : new york | pennsylvania row 137 : north carolina | virginia row 138 : north carolina | south carolina row 139 : north carolina | georgia row 140 : north carolina | tennessee row 141 : north dakota | minnesota row 142 : north dakota | south dakota row 143 : north dakota | montana row 144 : ohio | michigan row 145 : ohio | pennsylvania row 146 : ohio | west virginia row 147 : ohio | kentucky row 148 : ohio | indiana row 149 : oklahoma | kansas row 150 : oklahoma | missouri row 151 : oklahoma | arkansas row 152 : oklahoma | texas row 153 : oklahoma | new mexico row 154 : oklahoma | colorado row 155 : oregon | washington row 156 : oregon | idaho row 157 : oregon | nevada row 158 : oregon | california row 159 : pennsylvania | new york row 160 : pennsylvania | new jersey row 161 : pennsylvania | delaware row 162 : pennsylvania | maryland row 163 : pennsylvania | west virginia row 164 : pennsylvania | ohio row 165 : rhode island | massachusetts row 166 : rhode island | connecticut row 167 : south carolina | north carolina row 168 : south carolina | georgia row 169 : south dakota | north dakota row 170 : south dakota | minnesota row 171 : south dakota | iowa row 172 : south dakota | nebraska row 173 : south dakota | wyoming row 174 : south dakota | montana row 175 : tennessee | kentucky row 176 : tennessee | virginia row 177 : tennessee | north carolina row 178 : tennessee | georgia row 179 : tennessee | alabama row 180 : tennessee | mississippi row 181 : tennessee | arkansas row 182 : tennessee | missouri row 183 : texas | oklahoma row 184 : texas | arkansas row 185 : texas | louisiana row 186 : texas | new mexico row 187 : utah | wyoming row 188 : utah | colorado row 189 : utah | new mexico row 190 : utah | arizona row 191 : utah | nevada row 192 : utah | idaho row 193 : vermont | new hampshire row 194 : vermont | massachusetts row 195 : vermont | new york row 196 : virginia | maryland row 197 : virginia | district of columbia row 198 : virginia | north carolina row 199 : virginia | tennessee row 200 : virginia | kentucky row 201 : virginia | west virginia row 202 : washington | idaho row 203 : washington | oregon row 204 : west virginia | pennsylvania row 205 : west virginia | maryland row 206 : west virginia | virginia row 207 : west virginia | kentucky row 208 : west virginia | ohio row 209 : wisconsin | michigan row 210 : wisconsin | illinois row 211 : wisconsin | iowa row 212 : wisconsin | minnesota row 213 : wyoming | montana row 214 : wyoming | south dakota row 215 : wyoming | nebraska row 216 : wyoming | colorado row 217 : wyoming | utah row 218 : wyoming | idaho
col : border row 1 : tennessee row 2 : tennessee row 3 : tennessee row 4 : georgia row 5 : georgia row 6 : georgia row 7 : florida row 8 : florida row 9 : florida row 10 : mississippi row 11 : mississippi row 12 : mississippi row 13 : utah row 14 : utah row 15 : utah row 16 : utah row 17 : colorado row 18 : colorado row 19 : colorado row 20 : colorado row 21 : new mexico row 22 : new mexico row 23 : new mexico row 24 : new mexico row 25 : california row 26 : california row 27 : california row 28 : california row 29 : nevada row 30 : nevada row 31 : nevada row 32 : nevada row 33 : missouri row 34 : missouri row 35 : missouri row 36 : missouri row 37 : missouri row 38 : missouri row 39 : missouri row 40 : missouri row 41 : missouri row 42 : missouri row 43 : missouri row 44 : missouri row 45 : tennessee row 46 : tennessee row 47 : tennessee row 48 : tennessee row 49 : tennessee row 50 : tennessee row 51 : tennessee row 52 : tennessee row 53 : tennessee row 54 : tennessee row 55 : tennessee row 56 : tennessee row 57 : mississippi row 58 : mississippi row 59 : mississippi row 60 : mississippi row 61 : mississippi row 62 : mississippi row 63 : mississippi row 64 : mississippi row 65 : mississippi row 66 : mississippi row 67 : mississippi row 68 : mississippi row 69 : louisiana row 70 : louisiana row 71 : louisiana row 72 : louisiana row 73 : louisiana row 74 : louisiana row 75 : louisiana row 76 : louisiana row 77 : louisiana row 78 : louisiana row 79 : louisiana row 80 : louisiana row 81 : texas row 82 : texas row 83 : texas row 84 : texas row 85 : texas row 86 : texas row 87 : texas row 88 : texas row 89 : texas row 90 : texas row 91 : texas row 92 : texas row 93 : oklahoma row 94 : oklahoma row 95 : oklahoma row 96 : oklahoma row 97 : oklahoma row 98 : oklahoma row 99 : oklahoma row 100 : oklahoma row 101 : oklahoma row 102 : oklahoma row 103 : oklahoma row 104 : oklahoma row 105 : oregon row 106 : nevada row 107 : arizona row 108 : nebraska row 109 : nebraska row 110 : nebraska row 111 : nebraska row 112 : nebraska row 113 : nebraska row 114 : kansas row 115 : kansas row 116 : kansas row 117 : kansas row 118 : kansas row 119 : kansas row 120 : oklahoma row 121 : oklahoma row 122 : oklahoma row 123 : oklahoma row 124 : oklahoma row 125 : oklahoma row 126 : new mexico row 127 : new mexico row 128 : new mexico row 129 : new mexico row 130 : new mexico row 131 : new mexico row 132 : arizona row 133 : arizona row 134 : arizona row 135 : arizona row 136 : arizona row 137 : arizona row 138 : utah row 139 : utah row 140 : utah row 141 : utah row 142 : utah row 143 : utah row 144 : wyoming row 145 : wyoming row 146 : wyoming row 147 : wyoming row 148 : wyoming row 149 : wyoming row 150 : north carolina row 151 : south carolina row 152 : florida row 153 : alabama row 154 : tennessee row 155 : montana row 156 : wyoming row 157 : utah row 158 : nevada row 159 : oregon row 160 : washington row 161 : wisconsin row 162 : wisconsin row 163 : indiana row 164 : indiana row 165 : kentucky row 166 : kentucky row 167 : missouri row 168 : missouri row 169 : iowa row 170 : iowa row 171 : minnesota row 172 : minnesota row 173 : wisconsin row 174 : wisconsin row 175 : illinois row 176 : illinois row 177 : missouri row 178 : missouri row 179 : nebraska row 180 : nebraska row 181 : south dakota row 182 : south dakota row 183 : nebraska row 184 : nebraska row 185 : nebraska row 186 : nebraska row 187 : nebraska row 188 : nebraska row 189 : missouri row 190 : missouri row 191 : missouri row 192 : missouri row 193 : missouri row 194 : missouri row 195 : oklahoma row 196 : oklahoma row 197 : oklahoma row 198 : oklahoma row 199 : oklahoma row 200 : oklahoma row 201 : colorado row 202 : colorado row 203 : colorado row 204 : colorado row 205 : colorado row 206 : colorado row 207 : indiana row 208 : indiana row 209 : indiana row 210 : ohio row 211 : ohio row 212 : ohio row 213 : west virginia row 214 : west virginia row 215 : west virginia row 216 : virginia row 217 : virginia row 218 : virginia row 219 : tennessee row 220 : tennessee row 221 : tennessee row 222 : missouri row 223 : missouri row 224 : missouri row 225 : illinois row 226 : illinois row 227 : illinois row 228 : arkansas row 229 : arkansas row 230 : arkansas row 231 : arkansas row 232 : arkansas row 233 : arkansas row 234 : arkansas row 235 : arkansas row 236 : mississippi row 237 : mississippi row 238 : mississippi row 239 : mississippi row 240 : mississippi row 241 : mississippi row 242 : mississippi row 243 : mississippi row 244 : texas row 245 : texas row 246 : texas row 247 : texas row 248 : texas row 249 : texas row 250 : texas row 251 : texas row 252 : tennessee row 253 : tennessee row 254 : tennessee row 255 : tennessee row 256 : alabama row 257 : alabama row 258 : alabama row 259 : alabama row 260 : louisiana row 261 : louisiana row 262 : louisiana row 263 : louisiana row 264 : arkansas row 265 : arkansas row 266 : arkansas row 267 : arkansas row 268 : iowa row 269 : iowa row 270 : iowa row 271 : iowa row 272 : iowa row 273 : iowa row 274 : illinois row 275 : illinois row 276 : illinois row 277 : illinois row 278 : illinois row 279 : illinois row 280 : kentucky row 281 : kentucky row 282 : kentucky row 283 : kentucky row 284 : kentucky row 285 : kentucky row 286 : tennessee row 287 : tennessee row 288 : tennessee row 289 : tennessee row 290 : tennessee row 291 : tennessee row 292 : arkansas row 293 : arkansas row 294 : arkansas row 295 : arkansas row 296 : arkansas row 297 : arkansas row 298 : oklahoma row 299 : oklahoma row 300 : oklahoma row 301 : oklahoma row 302 : oklahoma row 303 : oklahoma row 304 : kansas row 305 : kansas row 306 : kansas row 307 : kansas row 308 : kansas row 309 : kansas row 310 : nebraska row 311 : nebraska row 312 : nebraska row 313 : nebraska row 314 : nebraska row 315 : nebraska row 316 : south dakota row 317 : south dakota row 318 : south dakota row 319 : south dakota row 320 : south dakota row 321 : iowa row 322 : iowa row 323 : iowa row 324 : iowa row 325 : iowa row 326 : missouri row 327 : missouri row 328 : missouri row 329 : missouri row 330 : missouri row 331 : kansas row 332 : kansas row 333 : kansas row 334 : kansas row 335 : kansas row 336 : colorado row 337 : colorado row 338 : colorado row 339 : colorado row 340 : colorado row 341 : wyoming row 342 : wyoming row 343 : wyoming row 344 : wyoming row 345 : wyoming row 346 : idaho row 347 : idaho row 348 : utah row 349 : utah row 350 : arizona row 351 : arizona row 352 : california row 353 : california row 354 : oregon row 355 : oregon row 356 : colorado row 357 : colorado row 358 : colorado row 359 : colorado row 360 : colorado row 361 : colorado row 362 : colorado row 363 : colorado row 364 : colorado row 365 : colorado row 366 : oklahoma row 367 : oklahoma row 368 : oklahoma row 369 : oklahoma row 370 : oklahoma row 371 : oklahoma row 372 : oklahoma row 373 : oklahoma row 374 : oklahoma row 375 : oklahoma row 376 : texas row 377 : texas row 378 : texas row 379 : texas row 380 : texas row 381 : texas row 382 : texas row 383 : texas row 384 : texas row 385 : texas row 386 : arizona row 387 : arizona row 388 : arizona row 389 : arizona row 390 : arizona row 391 : arizona row 392 : arizona row 393 : arizona row 394 : arizona row 395 : arizona row 396 : utah row 397 : utah row 398 : utah row 399 : utah row 400 : utah row 401 : utah row 402 : utah row 403 : utah row 404 : utah row 405 : utah row 406 : virginia row 407 : south carolina row 408 : georgia row 409 : tennessee row 410 : kansas row 411 : kansas row 412 : kansas row 413 : kansas row 414 : kansas row 415 : kansas row 416 : kansas row 417 : kansas row 418 : kansas row 419 : kansas row 420 : kansas row 421 : kansas row 422 : missouri row 423 : missouri row 424 : missouri row 425 : missouri row 426 : missouri row 427 : missouri row 428 : missouri row 429 : missouri row 430 : missouri row 431 : missouri row 432 : missouri row 433 : missouri row 434 : arkansas row 435 : arkansas row 436 : arkansas row 437 : arkansas row 438 : arkansas row 439 : arkansas row 440 : arkansas row 441 : arkansas row 442 : arkansas row 443 : arkansas row 444 : arkansas row 445 : arkansas row 446 : texas row 447 : texas row 448 : texas row 449 : texas row 450 : texas row 451 : texas row 452 : texas row 453 : texas row 454 : texas row 455 : texas row 456 : texas row 457 : texas row 458 : new mexico row 459 : new mexico row 460 : new mexico row 461 : new mexico row 462 : new mexico row 463 : new mexico row 464 : new mexico row 465 : new mexico row 466 : new mexico row 467 : new mexico row 468 : new mexico row 469 : new mexico row 470 : colorado row 471 : colorado row 472 : colorado row 473 : colorado row 474 : colorado row 475 : colorado row 476 : colorado row 477 : colorado row 478 : colorado row 479 : colorado row 480 : colorado row 481 : colorado row 482 : kentucky row 483 : kentucky row 484 : kentucky row 485 : kentucky row 486 : kentucky row 487 : kentucky row 488 : virginia row 489 : virginia row 490 : virginia row 491 : virginia row 492 : virginia row 493 : virginia row 494 : north carolina row 495 : north carolina row 496 : north carolina row 497 : north carolina row 498 : north carolina row 499 : north carolina row 500 : georgia row 501 : georgia row 502 : georgia row 503 : georgia row 504 : georgia row 505 : georgia row 506 : alabama row 507 : alabama row 508 : alabama row 509 : alabama row 510 : alabama row 511 : alabama row 512 : mississippi row 513 : mississippi row 514 : mississippi row 515 : mississippi row 516 : mississippi row 517 : mississippi row 518 : arkansas row 519 : arkansas row 520 : arkansas row 521 : arkansas row 522 : arkansas row 523 : arkansas row 524 : missouri row 525 : missouri row 526 : missouri row 527 : missouri row 528 : missouri row 529 : missouri row 530 : oklahoma row 531 : oklahoma row 532 : oklahoma row 533 : oklahoma row 534 : oklahoma row 535 : oklahoma row 536 : arkansas row 537 : arkansas row 538 : arkansas row 539 : arkansas row 540 : arkansas row 541 : arkansas row 542 : louisiana row 543 : louisiana row 544 : louisiana row 545 : louisiana row 546 : louisiana row 547 : louisiana row 548 : new mexico row 549 : new mexico row 550 : new mexico row 551 : new mexico row 552 : new mexico row 553 : new mexico row 554 : wyoming row 555 : wyoming row 556 : wyoming row 557 : wyoming row 558 : colorado row 559 : colorado row 560 : colorado row 561 : colorado row 562 : new mexico row 563 : new mexico row 564 : new mexico row 565 : new mexico row 566 : arizona row 567 : arizona row 568 : arizona row 569 : arizona row 570 : nevada row 571 : nevada row 572 : nevada row 573 : nevada row 574 : idaho row 575 : idaho row 576 : idaho row 577 : idaho row 578 : maryland row 579 : district of columbia row 580 : north carolina row 581 : tennessee row 582 : kentucky row 583 : west virginia row 584 : montana row 585 : montana row 586 : montana row 587 : south dakota row 588 : south dakota row 589 : south dakota row 590 : nebraska row 591 : nebraska row 592 : nebraska row 593 : colorado row 594 : colorado row 595 : colorado row 596 : utah row 597 : utah row 598 : utah row 599 : idaho row 600 : idaho row 601 : idaho
SELECT count(border_info.border) FROM border_info WHERE border_info.state_name=(SELECT state.state_name FROM state WHERE state.capital='boston');
how many states border on the state whose capital is boston
{"columns":["count(border_info.border)"],"index":[0],"data":[[5]]}
[ "state", "border_info" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}", "{\"columns\":[\"state_name\",\"border\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217],\"data\":[[\"alabama\",\"tennessee\"],[\"alabama\",\"georgia\"],[\"alabama\",\"florida\"],[\"alabama\",\"mississippi\"],[\"arizona\",\"utah\"],[\"arizona\",\"colorado\"],[\"arizona\",\"new mexico\"],[\"arizona\",\"california\"],[\"arizona\",\"nevada\"],[\"arkansas\",\"missouri\"],[\"arkansas\",\"tennessee\"],[\"arkansas\",\"mississippi\"],[\"arkansas\",\"louisiana\"],[\"arkansas\",\"texas\"],[\"arkansas\",\"oklahoma\"],[\"california\",\"oregon\"],[\"california\",\"nevada\"],[\"california\",\"arizona\"],[\"colorado\",\"nebraska\"],[\"colorado\",\"kansas\"],[\"colorado\",\"oklahoma\"],[\"colorado\",\"new mexico\"],[\"colorado\",\"arizona\"],[\"colorado\",\"utah\"],[\"colorado\",\"wyoming\"],[\"connecticut\",\"massachusetts\"],[\"connecticut\",\"rhode island\"],[\"connecticut\",\"new york\"],[\"delaware\",\"pennsylvania\"],[\"delaware\",\"new jersey\"],[\"delaware\",\"maryland\"],[\"district of columbia\",\"maryland\"],[\"district of columbia\",\"virginia\"],[\"florida\",\"georgia\"],[\"florida\",\"alabama\"],[\"georgia\",\"north carolina\"],[\"georgia\",\"south carolina\"],[\"georgia\",\"florida\"],[\"georgia\",\"alabama\"],[\"georgia\",\"tennessee\"],[\"idaho\",\"montana\"],[\"idaho\",\"wyoming\"],[\"idaho\",\"utah\"],[\"idaho\",\"nevada\"],[\"idaho\",\"oregon\"],[\"idaho\",\"washington\"],[\"illinois\",\"wisconsin\"],[\"illinois\",\"indiana\"],[\"illinois\",\"kentucky\"],[\"illinois\",\"missouri\"],[\"illinois\",\"iowa\"],[\"indiana\",\"michigan\"],[\"indiana\",\"ohio\"],[\"indiana\",\"kentucky\"],[\"indiana\",\"illinois\"],[\"iowa\",\"minnesota\"],[\"iowa\",\"wisconsin\"],[\"iowa\",\"illinois\"],[\"iowa\",\"missouri\"],[\"iowa\",\"nebraska\"],[\"iowa\",\"south dakota\"],[\"kansas\",\"nebraska\"],[\"kansas\",\"missouri\"],[\"kansas\",\"oklahoma\"],[\"kansas\",\"colorado\"],[\"kentucky\",\"indiana\"],[\"kentucky\",\"ohio\"],[\"kentucky\",\"west virginia\"],[\"kentucky\",\"virginia\"],[\"kentucky\",\"tennessee\"],[\"kentucky\",\"missouri\"],[\"kentucky\",\"illinois\"],[\"louisiana\",\"arkansas\"],[\"louisiana\",\"mississippi\"],[\"louisiana\",\"texas\"],[\"maine\",\"new hampshire\"],[\"maryland\",\"pennsylvania\"],[\"maryland\",\"delaware\"],[\"maryland\",\"virginia\"],[\"maryland\",\"district of columbia\"],[\"maryland\",\"west virginia\"],[\"massachusetts\",\"new hampshire\"],[\"massachusetts\",\"rhode island\"],[\"massachusetts\",\"connecticut\"],[\"massachusetts\",\"new york\"],[\"massachusetts\",\"vermont\"],[\"michigan\",\"ohio\"],[\"michigan\",\"indiana\"],[\"michigan\",\"wisconsin\"],[\"minnesota\",\"wisconsin\"],[\"minnesota\",\"iowa\"],[\"minnesota\",\"south dakota\"],[\"minnesota\",\"north dakota\"],[\"mississippi\",\"tennessee\"],[\"mississippi\",\"alabama\"],[\"mississippi\",\"louisiana\"],[\"mississippi\",\"arkansas\"],[\"missouri\",\"iowa\"],[\"missouri\",\"illinois\"],[\"missouri\",\"kentucky\"],[\"missouri\",\"tennessee\"],[\"missouri\",\"arkansas\"],[\"missouri\",\"oklahoma\"],[\"missouri\",\"kansas\"],[\"missouri\",\"nebraska\"],[\"montana\",\"north dakota\"],[\"montana\",\"south dakota\"],[\"montana\",\"wyoming\"],[\"montana\",\"idaho\"],[\"nebraska\",\"south dakota\"],[\"nebraska\",\"iowa\"],[\"nebraska\",\"missouri\"],[\"nebraska\",\"kansas\"],[\"nebraska\",\"colorado\"],[\"nebraska\",\"wyoming\"],[\"nevada\",\"idaho\"],[\"nevada\",\"utah\"],[\"nevada\",\"arizona\"],[\"nevada\",\"california\"],[\"nevada\",\"oregon\"],[\"new hampshire\",\"maine\"],[\"new hampshire\",\"massachusetts\"],[\"new hampshire\",\"vermont\"],[\"new jersey\",\"new york\"],[\"new jersey\",\"delaware\"],[\"new jersey\",\"pennsylvania\"],[\"new mexico\",\"colorado\"],[\"new mexico\",\"oklahoma\"],[\"new mexico\",\"texas\"],[\"new mexico\",\"arizona\"],[\"new mexico\",\"utah\"],[\"new york\",\"vermont\"],[\"new york\",\"massachusetts\"],[\"new york\",\"connecticut\"],[\"new york\",\"new jersey\"],[\"new york\",\"pennsylvania\"],[\"north carolina\",\"virginia\"],[\"north carolina\",\"south carolina\"],[\"north carolina\",\"georgia\"],[\"north carolina\",\"tennessee\"],[\"north dakota\",\"minnesota\"],[\"north dakota\",\"south dakota\"],[\"north dakota\",\"montana\"],[\"ohio\",\"michigan\"],[\"ohio\",\"pennsylvania\"],[\"ohio\",\"west virginia\"],[\"ohio\",\"kentucky\"],[\"ohio\",\"indiana\"],[\"oklahoma\",\"kansas\"],[\"oklahoma\",\"missouri\"],[\"oklahoma\",\"arkansas\"],[\"oklahoma\",\"texas\"],[\"oklahoma\",\"new mexico\"],[\"oklahoma\",\"colorado\"],[\"oregon\",\"washington\"],[\"oregon\",\"idaho\"],[\"oregon\",\"nevada\"],[\"oregon\",\"california\"],[\"pennsylvania\",\"new york\"],[\"pennsylvania\",\"new jersey\"],[\"pennsylvania\",\"delaware\"],[\"pennsylvania\",\"maryland\"],[\"pennsylvania\",\"west virginia\"],[\"pennsylvania\",\"ohio\"],[\"rhode island\",\"massachusetts\"],[\"rhode island\",\"connecticut\"],[\"south carolina\",\"north carolina\"],[\"south carolina\",\"georgia\"],[\"south dakota\",\"north dakota\"],[\"south dakota\",\"minnesota\"],[\"south dakota\",\"iowa\"],[\"south dakota\",\"nebraska\"],[\"south dakota\",\"wyoming\"],[\"south dakota\",\"montana\"],[\"tennessee\",\"kentucky\"],[\"tennessee\",\"virginia\"],[\"tennessee\",\"north carolina\"],[\"tennessee\",\"georgia\"],[\"tennessee\",\"alabama\"],[\"tennessee\",\"mississippi\"],[\"tennessee\",\"arkansas\"],[\"tennessee\",\"missouri\"],[\"texas\",\"oklahoma\"],[\"texas\",\"arkansas\"],[\"texas\",\"louisiana\"],[\"texas\",\"new mexico\"],[\"utah\",\"wyoming\"],[\"utah\",\"colorado\"],[\"utah\",\"new mexico\"],[\"utah\",\"arizona\"],[\"utah\",\"nevada\"],[\"utah\",\"idaho\"],[\"vermont\",\"new hampshire\"],[\"vermont\",\"massachusetts\"],[\"vermont\",\"new york\"],[\"virginia\",\"maryland\"],[\"virginia\",\"district of columbia\"],[\"virginia\",\"north carolina\"],[\"virginia\",\"tennessee\"],[\"virginia\",\"kentucky\"],[\"virginia\",\"west virginia\"],[\"washington\",\"idaho\"],[\"washington\",\"oregon\"],[\"west virginia\",\"pennsylvania\"],[\"west virginia\",\"maryland\"],[\"west virginia\",\"virginia\"],[\"west virginia\",\"kentucky\"],[\"west virginia\",\"ohio\"],[\"wisconsin\",\"michigan\"],[\"wisconsin\",\"illinois\"],[\"wisconsin\",\"iowa\"],[\"wisconsin\",\"minnesota\"],[\"wyoming\",\"montana\"],[\"wyoming\",\"south dakota\"],[\"wyoming\",\"nebraska\"],[\"wyoming\",\"colorado\"],[\"wyoming\",\"utah\"],[\"wyoming\",\"idaho\"]]}" ]
how many states border on the state whose capital is boston <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318 <table_name> : border_info col : state_name | border row 1 : alabama | tennessee row 2 : alabama | georgia row 3 : alabama | florida row 4 : alabama | mississippi row 5 : arizona | utah row 6 : arizona | colorado row 7 : arizona | new mexico row 8 : arizona | california row 9 : arizona | nevada row 10 : arkansas | missouri row 11 : arkansas | tennessee row 12 : arkansas | mississippi row 13 : arkansas | louisiana row 14 : arkansas | texas row 15 : arkansas | oklahoma row 16 : california | oregon row 17 : california | nevada row 18 : california | arizona row 19 : colorado | nebraska row 20 : colorado | kansas row 21 : colorado | oklahoma row 22 : colorado | new mexico row 23 : colorado | arizona row 24 : colorado | utah row 25 : colorado | wyoming row 26 : connecticut | massachusetts row 27 : connecticut | rhode island row 28 : connecticut | new york row 29 : delaware | pennsylvania row 30 : delaware | new jersey row 31 : delaware | maryland row 32 : district of columbia | maryland row 33 : district of columbia | virginia row 34 : florida | georgia row 35 : florida | alabama row 36 : georgia | north carolina row 37 : georgia | south carolina row 38 : georgia | florida row 39 : georgia | alabama row 40 : georgia | tennessee row 41 : idaho | montana row 42 : idaho | wyoming row 43 : idaho | utah row 44 : idaho | nevada row 45 : idaho | oregon row 46 : idaho | washington row 47 : illinois | wisconsin row 48 : illinois | indiana row 49 : illinois | kentucky row 50 : illinois | missouri row 51 : illinois | iowa row 52 : indiana | michigan row 53 : indiana | ohio row 54 : indiana | kentucky row 55 : indiana | illinois row 56 : iowa | minnesota row 57 : iowa | wisconsin row 58 : iowa | illinois row 59 : iowa | missouri row 60 : iowa | nebraska row 61 : iowa | south dakota row 62 : kansas | nebraska row 63 : kansas | missouri row 64 : kansas | oklahoma row 65 : kansas | colorado row 66 : kentucky | indiana row 67 : kentucky | ohio row 68 : kentucky | west virginia row 69 : kentucky | virginia row 70 : kentucky | tennessee row 71 : kentucky | missouri row 72 : kentucky | illinois row 73 : louisiana | arkansas row 74 : louisiana | mississippi row 75 : louisiana | texas row 76 : maine | new hampshire row 77 : maryland | pennsylvania row 78 : maryland | delaware row 79 : maryland | virginia row 80 : maryland | district of columbia row 81 : maryland | west virginia row 82 : massachusetts | new hampshire row 83 : massachusetts | rhode island row 84 : massachusetts | connecticut row 85 : massachusetts | new york row 86 : massachusetts | vermont row 87 : michigan | ohio row 88 : michigan | indiana row 89 : michigan | wisconsin row 90 : minnesota | wisconsin row 91 : minnesota | iowa row 92 : minnesota | south dakota row 93 : minnesota | north dakota row 94 : mississippi | tennessee row 95 : mississippi | alabama row 96 : mississippi | louisiana row 97 : mississippi | arkansas row 98 : missouri | iowa row 99 : missouri | illinois row 100 : missouri | kentucky row 101 : missouri | tennessee row 102 : missouri | arkansas row 103 : missouri | oklahoma row 104 : missouri | kansas row 105 : missouri | nebraska row 106 : montana | north dakota row 107 : montana | south dakota row 108 : montana | wyoming row 109 : montana | idaho row 110 : nebraska | south dakota row 111 : nebraska | iowa row 112 : nebraska | missouri row 113 : nebraska | kansas row 114 : nebraska | colorado row 115 : nebraska | wyoming row 116 : nevada | idaho row 117 : nevada | utah row 118 : nevada | arizona row 119 : nevada | california row 120 : nevada | oregon row 121 : new hampshire | maine row 122 : new hampshire | massachusetts row 123 : new hampshire | vermont row 124 : new jersey | new york row 125 : new jersey | delaware row 126 : new jersey | pennsylvania row 127 : new mexico | colorado row 128 : new mexico | oklahoma row 129 : new mexico | texas row 130 : new mexico | arizona row 131 : new mexico | utah row 132 : new york | vermont row 133 : new york | massachusetts row 134 : new york | connecticut row 135 : new york | new jersey row 136 : new york | pennsylvania row 137 : north carolina | virginia row 138 : north carolina | south carolina row 139 : north carolina | georgia row 140 : north carolina | tennessee row 141 : north dakota | minnesota row 142 : north dakota | south dakota row 143 : north dakota | montana row 144 : ohio | michigan row 145 : ohio | pennsylvania row 146 : ohio | west virginia row 147 : ohio | kentucky row 148 : ohio | indiana row 149 : oklahoma | kansas row 150 : oklahoma | missouri row 151 : oklahoma | arkansas row 152 : oklahoma | texas row 153 : oklahoma | new mexico row 154 : oklahoma | colorado row 155 : oregon | washington row 156 : oregon | idaho row 157 : oregon | nevada row 158 : oregon | california row 159 : pennsylvania | new york row 160 : pennsylvania | new jersey row 161 : pennsylvania | delaware row 162 : pennsylvania | maryland row 163 : pennsylvania | west virginia row 164 : pennsylvania | ohio row 165 : rhode island | massachusetts row 166 : rhode island | connecticut row 167 : south carolina | north carolina row 168 : south carolina | georgia row 169 : south dakota | north dakota row 170 : south dakota | minnesota row 171 : south dakota | iowa row 172 : south dakota | nebraska row 173 : south dakota | wyoming row 174 : south dakota | montana row 175 : tennessee | kentucky row 176 : tennessee | virginia row 177 : tennessee | north carolina row 178 : tennessee | georgia row 179 : tennessee | alabama row 180 : tennessee | mississippi row 181 : tennessee | arkansas row 182 : tennessee | missouri row 183 : texas | oklahoma row 184 : texas | arkansas row 185 : texas | louisiana row 186 : texas | new mexico row 187 : utah | wyoming row 188 : utah | colorado row 189 : utah | new mexico row 190 : utah | arizona row 191 : utah | nevada row 192 : utah | idaho row 193 : vermont | new hampshire row 194 : vermont | massachusetts row 195 : vermont | new york row 196 : virginia | maryland row 197 : virginia | district of columbia row 198 : virginia | north carolina row 199 : virginia | tennessee row 200 : virginia | kentucky row 201 : virginia | west virginia row 202 : washington | idaho row 203 : washington | oregon row 204 : west virginia | pennsylvania row 205 : west virginia | maryland row 206 : west virginia | virginia row 207 : west virginia | kentucky row 208 : west virginia | ohio row 209 : wisconsin | michigan row 210 : wisconsin | illinois row 211 : wisconsin | iowa row 212 : wisconsin | minnesota row 213 : wyoming | montana row 214 : wyoming | south dakota row 215 : wyoming | nebraska row 216 : wyoming | colorado row 217 : wyoming | utah row 218 : wyoming | idaho
col : count(border_info.border) row 1 : 5
SELECT river.river_name FROM river WHERE river.length=(SELECT max(river.length) FROM river);
what is the longest river
{"columns":["river_name"],"index":[0,1,2,3,4,5,6],"data":[["missouri"],["missouri"],["missouri"],["missouri"],["missouri"],["missouri"],["missouri"]]}
[ "river" ]
[ "{\"columns\":[\"river_name\",\"length\",\"country_name\",\"traverse\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148],\"data\":[[\"mississippi\",3778,\"usa\",\"minnesota\"],[\"mississippi\",3778,\"usa\",\"wisconsin\"],[\"mississippi\",3778,\"usa\",\"iowa\"],[\"mississippi\",3778,\"usa\",\"illinois\"],[\"mississippi\",3778,\"usa\",\"missouri\"],[\"mississippi\",3778,\"usa\",\"kentucky\"],[\"mississippi\",3778,\"usa\",\"tennessee\"],[\"mississippi\",3778,\"usa\",\"arkansas\"],[\"mississippi\",3778,\"usa\",\"mississippi\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"missouri\",3968,\"usa\",\"montana\"],[\"missouri\",3968,\"usa\",\"north dakota\"],[\"missouri\",3968,\"usa\",\"south dakota\"],[\"missouri\",3968,\"usa\",\"iowa\"],[\"missouri\",3968,\"usa\",\"nebraska\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"colorado\",2333,\"usa\",\"colorado\"],[\"colorado\",2333,\"usa\",\"utah\"],[\"colorado\",2333,\"usa\",\"arizona\"],[\"colorado\",2333,\"usa\",\"nevada\"],[\"colorado\",2333,\"usa\",\"california\"],[\"ohio\",1569,\"usa\",\"pennsylvania\"],[\"ohio\",1569,\"usa\",\"west virginia\"],[\"ohio\",1569,\"usa\",\"kentucky\"],[\"ohio\",1569,\"usa\",\"indiana\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"ohio\"],[\"red\",1638,\"usa\",\"new mexico\"],[\"red\",1638,\"usa\",\"texas\"],[\"red\",1638,\"usa\",\"oklahoma\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"louisiana\"],[\"arkansas\",2333,\"usa\",\"colorado\"],[\"arkansas\",2333,\"usa\",\"kansas\"],[\"arkansas\",2333,\"usa\",\"oklahoma\"],[\"arkansas\",2333,\"usa\",\"arkansas\"],[\"canadian\",1458,\"usa\",\"colorado\"],[\"canadian\",1458,\"usa\",\"new mexico\"],[\"canadian\",1458,\"usa\",\"texas\"],[\"canadian\",1458,\"usa\",\"oklahoma\"],[\"connecticut\",655,\"usa\",\"new hampshire\"],[\"connecticut\",655,\"usa\",\"vermont\"],[\"connecticut\",655,\"usa\",\"massachusetts\"],[\"connecticut\",655,\"usa\",\"connecticut\"],[\"delaware\",451,\"usa\",\"new york\"],[\"delaware\",451,\"usa\",\"pennsylvania\"],[\"delaware\",451,\"usa\",\"new jersey\"],[\"delaware\",451,\"usa\",\"delaware\"],[\"little missouri\",901,\"usa\",\"wyoming\"],[\"little missouri\",901,\"usa\",\"montana\"],[\"little missouri\",901,\"usa\",\"south dakota\"],[\"little missouri\",901,\"usa\",\"north dakota\"],[\"snake\",1670,\"usa\",\"wyoming\"],[\"snake\",1670,\"usa\",\"idaho\"],[\"snake\",1670,\"usa\",\"oregon\"],[\"snake\",1670,\"usa\",\"washington\"],[\"snake\",1670,\"usa\",\"washington\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"florida\"],[\"cimarron\",965,\"usa\",\"new mexico\"],[\"cimarron\",965,\"usa\",\"kansas\"],[\"cimarron\",965,\"usa\",\"oklahoma\"],[\"green\",1175,\"usa\",\"wyoming\"],[\"green\",1175,\"usa\",\"utah\"],[\"green\",1175,\"usa\",\"colorado\"],[\"green\",1175,\"usa\",\"utah\"],[\"north platte\",1094,\"usa\",\"colorado\"],[\"north platte\",1094,\"usa\",\"wyoming\"],[\"north platte\",1094,\"usa\",\"nebraska\"],[\"potomac\",462,\"usa\",\"west virginia\"],[\"potomac\",462,\"usa\",\"maryland\"],[\"potomac\",462,\"usa\",\"virginia\"],[\"potomac\",462,\"usa\",\"district of columbia\"],[\"republican\",679,\"usa\",\"colorado\"],[\"republican\",679,\"usa\",\"nebraska\"],[\"republican\",679,\"usa\",\"kansas\"],[\"rio grande\",3033,\"usa\",\"colorado\"],[\"rio grande\",3033,\"usa\",\"new mexico\"],[\"rio grande\",3033,\"usa\",\"texas\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"new mexico\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"utah\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"alabama\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"kentucky\"],[\"wabash\",764,\"usa\",\"ohio\"],[\"wabash\",764,\"usa\",\"indiana\"],[\"wabash\",764,\"usa\",\"illinois\"],[\"yellowstone\",1080,\"usa\",\"wyoming\"],[\"yellowstone\",1080,\"usa\",\"montana\"],[\"yellowstone\",1080,\"usa\",\"north dakota\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"allegheny\",523,\"usa\",\"new york\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"bighorn\",541,\"usa\",\"wyoming\"],[\"bighorn\",541,\"usa\",\"montana\"],[\"cheyenne\",848,\"usa\",\"wyoming\"],[\"cheyenne\",848,\"usa\",\"north dakota\"],[\"clark fork\",483,\"usa\",\"montana\"],[\"clark fork\",483,\"usa\",\"idaho\"],[\"columbia\",1953,\"usa\",\"washington\"],[\"columbia\",1953,\"usa\",\"oregon\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"cumberland\",1105,\"usa\",\"tennessee\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"dakota\",1142,\"usa\",\"north dakota\"],[\"dakota\",1142,\"usa\",\"south dakota\"],[\"gila\",805,\"usa\",\"new mexico\"],[\"gila\",805,\"usa\",\"arizona\"],[\"hudson\",492,\"usa\",\"new york\"],[\"hudson\",492,\"usa\",\"new jersey\"],[\"neosho\",740,\"usa\",\"kansas\"],[\"neosho\",740,\"usa\",\"oklahoma\"],[\"niobrara\",693,\"usa\",\"wyoming\"],[\"niobrara\",693,\"usa\",\"nebraska\"],[\"ouachita\",973,\"usa\",\"arkansas\"],[\"ouachita\",973,\"usa\",\"louisiana\"],[\"pearl\",788,\"usa\",\"michigan\"],[\"pearl\",788,\"usa\",\"louisiana\"],[\"pecos\",805,\"usa\",\"new mexico\"],[\"pecos\",805,\"usa\",\"texas\"],[\"powder\",603,\"usa\",\"wyoming\"],[\"powder\",603,\"usa\",\"montana\"],[\"roanoke\",660,\"usa\",\"virginia\"],[\"roanoke\",660,\"usa\",\"north carolina\"],[\"rock\",459,\"usa\",\"wisconsin\"],[\"rock\",459,\"usa\",\"illinois\"],[\"smoky hill\",869,\"usa\",\"colorado\"],[\"smoky hill\",869,\"usa\",\"kansas\"],[\"south platte\",682,\"usa\",\"colorado\"],[\"south platte\",682,\"usa\",\"nebraska\"],[\"st. francis\",684,\"usa\",\"missouri\"],[\"st. francis\",684,\"usa\",\"arkansas\"],[\"tombigbee\",658,\"usa\",\"mississippi\"],[\"tombigbee\",658,\"usa\",\"alabama\"],[\"washita\",805,\"usa\",\"texas\"],[\"washita\",805,\"usa\",\"oklahoma\"],[\"wateree catawba\",636,\"usa\",\"north carolina\"],[\"wateree catawba\",636,\"usa\",\"south carolina\"],[\"white\",1110,\"usa\",\"arkansas\"],[\"white\",1110,\"usa\",\"missouri\"],[\"white\",1110,\"usa\",\"arkansas\"]]}" ]
what is the longest river <table_name> : river col : river_name | length | country_name | traverse row 1 : mississippi | 3778 | usa | minnesota row 2 : mississippi | 3778 | usa | wisconsin row 3 : mississippi | 3778 | usa | iowa row 4 : mississippi | 3778 | usa | illinois row 5 : mississippi | 3778 | usa | missouri row 6 : mississippi | 3778 | usa | kentucky row 7 : mississippi | 3778 | usa | tennessee row 8 : mississippi | 3778 | usa | arkansas row 9 : mississippi | 3778 | usa | mississippi row 10 : mississippi | 3778 | usa | louisiana row 11 : mississippi | 3778 | usa | louisiana row 12 : missouri | 3968 | usa | montana row 13 : missouri | 3968 | usa | north dakota row 14 : missouri | 3968 | usa | south dakota row 15 : missouri | 3968 | usa | iowa row 16 : missouri | 3968 | usa | nebraska row 17 : missouri | 3968 | usa | missouri row 18 : missouri | 3968 | usa | missouri row 19 : colorado | 2333 | usa | colorado row 20 : colorado | 2333 | usa | utah row 21 : colorado | 2333 | usa | arizona row 22 : colorado | 2333 | usa | nevada row 23 : colorado | 2333 | usa | california row 24 : ohio | 1569 | usa | pennsylvania row 25 : ohio | 1569 | usa | west virginia row 26 : ohio | 1569 | usa | kentucky row 27 : ohio | 1569 | usa | indiana row 28 : ohio | 1569 | usa | illinois row 29 : ohio | 1569 | usa | illinois row 30 : ohio | 1569 | usa | ohio row 31 : red | 1638 | usa | new mexico row 32 : red | 1638 | usa | texas row 33 : red | 1638 | usa | oklahoma row 34 : red | 1638 | usa | arkansas row 35 : red | 1638 | usa | arkansas row 36 : red | 1638 | usa | louisiana row 37 : arkansas | 2333 | usa | colorado row 38 : arkansas | 2333 | usa | kansas row 39 : arkansas | 2333 | usa | oklahoma row 40 : arkansas | 2333 | usa | arkansas row 41 : canadian | 1458 | usa | colorado row 42 : canadian | 1458 | usa | new mexico row 43 : canadian | 1458 | usa | texas row 44 : canadian | 1458 | usa | oklahoma row 45 : connecticut | 655 | usa | new hampshire row 46 : connecticut | 655 | usa | vermont row 47 : connecticut | 655 | usa | massachusetts row 48 : connecticut | 655 | usa | connecticut row 49 : delaware | 451 | usa | new york row 50 : delaware | 451 | usa | pennsylvania row 51 : delaware | 451 | usa | new jersey row 52 : delaware | 451 | usa | delaware row 53 : little missouri | 901 | usa | wyoming row 54 : little missouri | 901 | usa | montana row 55 : little missouri | 901 | usa | south dakota row 56 : little missouri | 901 | usa | north dakota row 57 : snake | 1670 | usa | wyoming row 58 : snake | 1670 | usa | idaho row 59 : snake | 1670 | usa | oregon row 60 : snake | 1670 | usa | washington row 61 : snake | 1670 | usa | washington row 62 : chattahoochee | 702 | usa | georgia row 63 : chattahoochee | 702 | usa | georgia row 64 : chattahoochee | 702 | usa | florida row 65 : cimarron | 965 | usa | new mexico row 66 : cimarron | 965 | usa | kansas row 67 : cimarron | 965 | usa | oklahoma row 68 : green | 1175 | usa | wyoming row 69 : green | 1175 | usa | utah row 70 : green | 1175 | usa | colorado row 71 : green | 1175 | usa | utah row 72 : north platte | 1094 | usa | colorado row 73 : north platte | 1094 | usa | wyoming row 74 : north platte | 1094 | usa | nebraska row 75 : potomac | 462 | usa | west virginia row 76 : potomac | 462 | usa | maryland row 77 : potomac | 462 | usa | virginia row 78 : potomac | 462 | usa | district of columbia row 79 : republican | 679 | usa | colorado row 80 : republican | 679 | usa | nebraska row 81 : republican | 679 | usa | kansas row 82 : rio grande | 3033 | usa | colorado row 83 : rio grande | 3033 | usa | new mexico row 84 : rio grande | 3033 | usa | texas row 85 : san juan | 579 | usa | colorado row 86 : san juan | 579 | usa | new mexico row 87 : san juan | 579 | usa | colorado row 88 : san juan | 579 | usa | utah row 89 : tennessee | 1049 | usa | tennessee row 90 : tennessee | 1049 | usa | alabama row 91 : tennessee | 1049 | usa | tennessee row 92 : tennessee | 1049 | usa | kentucky row 93 : wabash | 764 | usa | ohio row 94 : wabash | 764 | usa | indiana row 95 : wabash | 764 | usa | illinois row 96 : yellowstone | 1080 | usa | wyoming row 97 : yellowstone | 1080 | usa | montana row 98 : yellowstone | 1080 | usa | north dakota row 99 : allegheny | 523 | usa | pennsylvania row 100 : allegheny | 523 | usa | new york row 101 : allegheny | 523 | usa | pennsylvania row 102 : bighorn | 541 | usa | wyoming row 103 : bighorn | 541 | usa | montana row 104 : cheyenne | 848 | usa | wyoming row 105 : cheyenne | 848 | usa | north dakota row 106 : clark fork | 483 | usa | montana row 107 : clark fork | 483 | usa | idaho row 108 : columbia | 1953 | usa | washington row 109 : columbia | 1953 | usa | oregon row 110 : cumberland | 1105 | usa | kentucky row 111 : cumberland | 1105 | usa | tennessee row 112 : cumberland | 1105 | usa | kentucky row 113 : dakota | 1142 | usa | north dakota row 114 : dakota | 1142 | usa | south dakota row 115 : gila | 805 | usa | new mexico row 116 : gila | 805 | usa | arizona row 117 : hudson | 492 | usa | new york row 118 : hudson | 492 | usa | new jersey row 119 : neosho | 740 | usa | kansas row 120 : neosho | 740 | usa | oklahoma row 121 : niobrara | 693 | usa | wyoming row 122 : niobrara | 693 | usa | nebraska row 123 : ouachita | 973 | usa | arkansas row 124 : ouachita | 973 | usa | louisiana row 125 : pearl | 788 | usa | michigan row 126 : pearl | 788 | usa | louisiana row 127 : pecos | 805 | usa | new mexico row 128 : pecos | 805 | usa | texas row 129 : powder | 603 | usa | wyoming row 130 : powder | 603 | usa | montana row 131 : roanoke | 660 | usa | virginia row 132 : roanoke | 660 | usa | north carolina row 133 : rock | 459 | usa | wisconsin row 134 : rock | 459 | usa | illinois row 135 : smoky hill | 869 | usa | colorado row 136 : smoky hill | 869 | usa | kansas row 137 : south platte | 682 | usa | colorado row 138 : south platte | 682 | usa | nebraska row 139 : st. francis | 684 | usa | missouri row 140 : st. francis | 684 | usa | arkansas row 141 : tombigbee | 658 | usa | mississippi row 142 : tombigbee | 658 | usa | alabama row 143 : washita | 805 | usa | texas row 144 : washita | 805 | usa | oklahoma row 145 : wateree catawba | 636 | usa | north carolina row 146 : wateree catawba | 636 | usa | south carolina row 147 : white | 1110 | usa | arkansas row 148 : white | 1110 | usa | missouri row 149 : white | 1110 | usa | arkansas
col : river_name row 1 : missouri row 2 : missouri row 3 : missouri row 4 : missouri row 5 : missouri row 6 : missouri row 7 : missouri
SELECT state.state_name FROM state WHERE state.area=(SELECT max(state.area) FROM state);
what is the largest state
{"columns":["state_name"],"index":[0],"data":[["alaska"]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what is the largest state <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : state_name row 1 : alaska
SELECT state.capital FROM state WHERE state.state_name='texas';
can you tell me the capital of texas
{"columns":["capital"],"index":[0],"data":[["austin"]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
can you tell me the capital of texas <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : capital row 1 : austin
SELECT state.population FROM state WHERE state.state_name='south dakota';
what is the population of south dakota
{"columns":["population"],"index":[0],"data":[[690767]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what is the population of south dakota <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : population row 1 : 690767
SELECT state.area FROM state WHERE state.state_name='new mexico';
what is the area of new mexico
{"columns":["area"],"index":[0],"data":[[121600.0]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what is the area of new mexico <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : area row 1 : 121600
SELECT state.state_name FROM state WHERE state.state_name NOT IN(SELECT border_info.border FROM border_info WHERE border_info.state_name='texas');
which states does not border texas
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[ "state", "border_info" ]
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columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}", "{\"columns\":[\"state_name\",\"border\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217],\"data\":[[\"alabama\",\"tennessee\"],[\"alabama\",\"georgia\"],[\"alabama\",\"florida\"],[\"alabama\",\"mississippi\"],[\"arizona\",\"utah\"],[\"arizona\",\"colorado\"],[\"arizona\",\"new 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jersey\"],[\"pennsylvania\",\"delaware\"],[\"pennsylvania\",\"maryland\"],[\"pennsylvania\",\"west virginia\"],[\"pennsylvania\",\"ohio\"],[\"rhode island\",\"massachusetts\"],[\"rhode island\",\"connecticut\"],[\"south carolina\",\"north carolina\"],[\"south carolina\",\"georgia\"],[\"south dakota\",\"north dakota\"],[\"south dakota\",\"minnesota\"],[\"south dakota\",\"iowa\"],[\"south dakota\",\"nebraska\"],[\"south dakota\",\"wyoming\"],[\"south dakota\",\"montana\"],[\"tennessee\",\"kentucky\"],[\"tennessee\",\"virginia\"],[\"tennessee\",\"north carolina\"],[\"tennessee\",\"georgia\"],[\"tennessee\",\"alabama\"],[\"tennessee\",\"mississippi\"],[\"tennessee\",\"arkansas\"],[\"tennessee\",\"missouri\"],[\"texas\",\"oklahoma\"],[\"texas\",\"arkansas\"],[\"texas\",\"louisiana\"],[\"texas\",\"new mexico\"],[\"utah\",\"wyoming\"],[\"utah\",\"colorado\"],[\"utah\",\"new mexico\"],[\"utah\",\"arizona\"],[\"utah\",\"nevada\"],[\"utah\",\"idaho\"],[\"vermont\",\"new hampshire\"],[\"vermont\",\"massachusetts\"],[\"vermont\",\"new york\"],[\"virginia\",\"maryland\"],[\"virginia\",\"district of columbia\"],[\"virginia\",\"north carolina\"],[\"virginia\",\"tennessee\"],[\"virginia\",\"kentucky\"],[\"virginia\",\"west virginia\"],[\"washington\",\"idaho\"],[\"washington\",\"oregon\"],[\"west virginia\",\"pennsylvania\"],[\"west virginia\",\"maryland\"],[\"west virginia\",\"virginia\"],[\"west virginia\",\"kentucky\"],[\"west virginia\",\"ohio\"],[\"wisconsin\",\"michigan\"],[\"wisconsin\",\"illinois\"],[\"wisconsin\",\"iowa\"],[\"wisconsin\",\"minnesota\"],[\"wyoming\",\"montana\"],[\"wyoming\",\"south dakota\"],[\"wyoming\",\"nebraska\"],[\"wyoming\",\"colorado\"],[\"wyoming\",\"utah\"],[\"wyoming\",\"idaho\"]]}" ]
which states does not border texas <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318 <table_name> : border_info col : state_name | border row 1 : alabama | tennessee row 2 : alabama | georgia row 3 : alabama | florida row 4 : alabama | mississippi row 5 : arizona | utah row 6 : arizona | colorado row 7 : arizona | new mexico row 8 : arizona | california row 9 : arizona | nevada row 10 : arkansas | missouri row 11 : arkansas | tennessee row 12 : arkansas | mississippi row 13 : arkansas | louisiana row 14 : arkansas | texas row 15 : arkansas | oklahoma row 16 : california | oregon row 17 : california | nevada row 18 : california | arizona row 19 : colorado | nebraska row 20 : colorado | kansas row 21 : colorado | oklahoma row 22 : colorado | new mexico row 23 : colorado | arizona row 24 : colorado | utah row 25 : colorado | wyoming row 26 : connecticut | massachusetts row 27 : connecticut | rhode island row 28 : connecticut | new york row 29 : delaware | pennsylvania row 30 : delaware | new jersey row 31 : delaware | maryland row 32 : district of columbia | maryland row 33 : district of columbia | virginia row 34 : florida | georgia row 35 : florida | alabama row 36 : georgia | north carolina row 37 : georgia | south carolina row 38 : georgia | florida row 39 : georgia | alabama row 40 : georgia | tennessee row 41 : idaho | montana row 42 : idaho | wyoming row 43 : idaho | utah row 44 : idaho | nevada row 45 : idaho | oregon row 46 : idaho | washington row 47 : illinois | wisconsin row 48 : illinois | indiana row 49 : illinois | kentucky row 50 : illinois | missouri row 51 : illinois | iowa row 52 : indiana | michigan row 53 : indiana | ohio row 54 : indiana | kentucky row 55 : indiana | illinois row 56 : iowa | minnesota row 57 : iowa | wisconsin row 58 : iowa | illinois row 59 : iowa | missouri row 60 : iowa | nebraska row 61 : iowa | south dakota row 62 : kansas | nebraska row 63 : kansas | missouri row 64 : kansas | oklahoma row 65 : kansas | colorado row 66 : kentucky | indiana row 67 : kentucky | ohio row 68 : kentucky | west virginia row 69 : kentucky | virginia row 70 : kentucky | tennessee row 71 : kentucky | missouri row 72 : kentucky | illinois row 73 : louisiana | arkansas row 74 : louisiana | mississippi row 75 : louisiana | texas row 76 : maine | new hampshire row 77 : maryland | pennsylvania row 78 : maryland | delaware row 79 : maryland | virginia row 80 : maryland | district of columbia row 81 : maryland | west virginia row 82 : massachusetts | new hampshire row 83 : massachusetts | rhode island row 84 : massachusetts | connecticut row 85 : massachusetts | new york row 86 : massachusetts | vermont row 87 : michigan | ohio row 88 : michigan | indiana row 89 : michigan | wisconsin row 90 : minnesota | wisconsin row 91 : minnesota | iowa row 92 : minnesota | south dakota row 93 : minnesota | north dakota row 94 : mississippi | tennessee row 95 : mississippi | alabama row 96 : mississippi | louisiana row 97 : mississippi | arkansas row 98 : missouri | iowa row 99 : missouri | illinois row 100 : missouri | kentucky row 101 : missouri | tennessee row 102 : missouri | arkansas row 103 : missouri | oklahoma row 104 : missouri | kansas row 105 : missouri | nebraska row 106 : montana | north dakota row 107 : montana | south dakota row 108 : montana | wyoming row 109 : montana | idaho row 110 : nebraska | south dakota row 111 : nebraska | iowa row 112 : nebraska | missouri row 113 : nebraska | kansas row 114 : nebraska | colorado row 115 : nebraska | wyoming row 116 : nevada | idaho row 117 : nevada | utah row 118 : nevada | arizona row 119 : nevada | california row 120 : nevada | oregon row 121 : new hampshire | maine row 122 : new hampshire | massachusetts row 123 : new hampshire | vermont row 124 : new jersey | new york row 125 : new jersey | delaware row 126 : new jersey | pennsylvania row 127 : new mexico | colorado row 128 : new mexico | oklahoma row 129 : new mexico | texas row 130 : new mexico | arizona row 131 : new mexico | utah row 132 : new york | vermont row 133 : new york | massachusetts row 134 : new york | connecticut row 135 : new york | new jersey row 136 : new york | pennsylvania row 137 : north carolina | virginia row 138 : north carolina | south carolina row 139 : north carolina | georgia row 140 : north carolina | tennessee row 141 : north dakota | minnesota row 142 : north dakota | south dakota row 143 : north dakota | montana row 144 : ohio | michigan row 145 : ohio | pennsylvania row 146 : ohio | west virginia row 147 : ohio | kentucky row 148 : ohio | indiana row 149 : oklahoma | kansas row 150 : oklahoma | missouri row 151 : oklahoma | arkansas row 152 : oklahoma | texas row 153 : oklahoma | new mexico row 154 : oklahoma | colorado row 155 : oregon | washington row 156 : oregon | idaho row 157 : oregon | nevada row 158 : oregon | california row 159 : pennsylvania | new york row 160 : pennsylvania | new jersey row 161 : pennsylvania | delaware row 162 : pennsylvania | maryland row 163 : pennsylvania | west virginia row 164 : pennsylvania | ohio row 165 : rhode island | massachusetts row 166 : rhode island | connecticut row 167 : south carolina | north carolina row 168 : south carolina | georgia row 169 : south dakota | north dakota row 170 : south dakota | minnesota row 171 : south dakota | iowa row 172 : south dakota | nebraska row 173 : south dakota | wyoming row 174 : south dakota | montana row 175 : tennessee | kentucky row 176 : tennessee | virginia row 177 : tennessee | north carolina row 178 : tennessee | georgia row 179 : tennessee | alabama row 180 : tennessee | mississippi row 181 : tennessee | arkansas row 182 : tennessee | missouri row 183 : texas | oklahoma row 184 : texas | arkansas row 185 : texas | louisiana row 186 : texas | new mexico row 187 : utah | wyoming row 188 : utah | colorado row 189 : utah | new mexico row 190 : utah | arizona row 191 : utah | nevada row 192 : utah | idaho row 193 : vermont | new hampshire row 194 : vermont | massachusetts row 195 : vermont | new york row 196 : virginia | maryland row 197 : virginia | district of columbia row 198 : virginia | north carolina row 199 : virginia | tennessee row 200 : virginia | kentucky row 201 : virginia | west virginia row 202 : washington | idaho row 203 : washington | oregon row 204 : west virginia | pennsylvania row 205 : west virginia | maryland row 206 : west virginia | virginia row 207 : west virginia | kentucky row 208 : west virginia | ohio row 209 : wisconsin | michigan row 210 : wisconsin | illinois row 211 : wisconsin | iowa row 212 : wisconsin | minnesota row 213 : wyoming | montana row 214 : wyoming | south dakota row 215 : wyoming | nebraska row 216 : wyoming | colorado row 217 : wyoming | utah row 218 : wyoming | idaho
col : state_name row 1 : alabama row 2 : alaska row 3 : arizona row 4 : california row 5 : colorado row 6 : connecticut row 7 : delaware row 8 : district of columbia row 9 : florida row 10 : georgia row 11 : hawaii row 12 : idaho row 13 : illinois row 14 : indiana row 15 : iowa row 16 : kansas row 17 : kentucky row 18 : maine row 19 : maryland row 20 : massachusetts row 21 : michigan row 22 : minnesota row 23 : mississippi row 24 : missouri row 25 : montana row 26 : nebraska row 27 : nevada row 28 : new hampshire row 29 : new jersey row 30 : new york row 31 : north carolina row 32 : north dakota row 33 : ohio row 34 : oregon row 35 : pennsylvania row 36 : rhode island row 37 : south carolina row 38 : south dakota row 39 : tennessee row 40 : texas row 41 : utah row 42 : vermont row 43 : virginia row 44 : washington row 45 : west virginia row 46 : wisconsin row 47 : wyoming
SELECT count(city.city_name) FROM city WHERE city.state_name IN(SELECT border_info.border FROM border_info WHERE border_info.state_name='nebraska') AND city.population>150000;
how many major cities are in states bordering nebraska
{"columns":["count(city.city_name)"],"index":[0],"data":[[8]]}
[ "city", "border_info" ]
[ 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bernardino\",118794,\"usa\",\"california\"],[\"pasadena\",118072,\"usa\",\"california\"],[\"east los angeles\",110017,\"usa\",\"california\"],[\"oxnard\",108195,\"usa\",\"california\"],[\"modesto\",106963,\"usa\",\"california\"],[\"sunnyvale\",106618,\"usa\",\"california\"],[\"bakersfield\",105611,\"usa\",\"california\"],[\"concord\",103763,\"usa\",\"california\"],[\"berkeley\",103328,\"usa\",\"california\"],[\"fullerton\",102246,\"usa\",\"california\"],[\"inglewood\",94162,\"usa\",\"california\"],[\"hayward\",93585,\"usa\",\"california\"],[\"pomona\",92742,\"usa\",\"california\"],[\"orange\",91450,\"usa\",\"california\"],[\"ontario\",88820,\"usa\",\"california\"],[\"santa monica\",88314,\"usa\",\"california\"],[\"santa clara\",87700,\"usa\",\"california\"],[\"citrus heights\",85911,\"usa\",\"california\"],[\"norwalk\",84901,\"usa\",\"california\"],[\"burbank\",84625,\"usa\",\"california\"],[\"chula vista\",83927,\"usa\",\"california\"],[\"santa 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gate\",66784,\"usa\",\"california\"],[\"alhambra\",64767,\"usa\",\"california\"],[\"buena park\",64165,\"usa\",\"california\"],[\"san leandro\",63952,\"usa\",\"california\"],[\"alameda\",63852,\"usa\",\"california\"],[\"newport beach\",63475,\"usa\",\"california\"],[\"escondido\",62480,\"usa\",\"california\"],[\"irvine\",62134,\"usa\",\"california\"],[\"mountain view\",58655,\"usa\",\"california\"],[\"fairfield\",58099,\"usa\",\"california\"],[\"redondo beach\",57102,\"usa\",\"california\"],[\"scotts valley\",6037,\"usa\",\"california\"],[\"denver\",492365,\"usa\",\"colorado\"],[\"colorado springs\",215150,\"usa\",\"colorado\"],[\"aurora\",158588,\"usa\",\"colorado\"],[\"lakewood\",113808,\"usa\",\"colorado\"],[\"pueblo\",101686,\"usa\",\"colorado\"],[\"arvada\",84576,\"usa\",\"colorado\"],[\"boulder\",76685,\"usa\",\"colorado\"],[\"fort collins\",64632,\"usa\",\"colorado\"],[\"bridgeport\",142546,\"usa\",\"connecticut\"],[\"hartford\",136392,\"usa\",\"connecticut\"],[\"new haven\",126089,\"usa\",\"connecticut\"],[\"waterbury\",103266,\"usa\",\"connecticut\"],[\"stamford\",102466,\"usa\",\"connecticut\"],[\"norwalk\",77767,\"usa\",\"connecticut\"],[\"new britain\",73840,\"usa\",\"connecticut\"],[\"west hartford\",61301,\"usa\",\"connecticut\"],[\"danbury\",60470,\"usa\",\"connecticut\"],[\"greenwich\",59578,\"usa\",\"connecticut\"],[\"bristol\",57370,\"usa\",\"connecticut\"],[\"meriden\",57118,\"usa\",\"connecticut\"],[\"wilmington\",70195,\"usa\",\"delaware\"],[\"washington\",638333,\"usa\",\"district of columbia\"],[\"jacksonville\",540920,\"usa\",\"florida\"],[\"miami\",346865,\"usa\",\"florida\"],[\"tampa\",271523,\"usa\",\"florida\"],[\"st. petersburg\",238647,\"usa\",\"florida\"],[\"fort lauderdale\",153256,\"usa\",\"florida\"],[\"orlando\",128394,\"usa\",\"florida\"],[\"hollywood\",117188,\"usa\",\"florida\"],[\"miami beach\",96298,\"usa\",\"florida\"],[\"clearwater\",85450,\"usa\",\"florida\"],[\"tallahassee\",81548,\"usa\",\"florida\"],[\"gainesville\",81371,\"usa\",\"florida\"],[\"kendall\",73758,\"usa\",\"florida\"],[\"west palm 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hampshire\"],[\"vermont\",\"massachusetts\"],[\"vermont\",\"new york\"],[\"virginia\",\"maryland\"],[\"virginia\",\"district of columbia\"],[\"virginia\",\"north carolina\"],[\"virginia\",\"tennessee\"],[\"virginia\",\"kentucky\"],[\"virginia\",\"west virginia\"],[\"washington\",\"idaho\"],[\"washington\",\"oregon\"],[\"west virginia\",\"pennsylvania\"],[\"west virginia\",\"maryland\"],[\"west virginia\",\"virginia\"],[\"west virginia\",\"kentucky\"],[\"west virginia\",\"ohio\"],[\"wisconsin\",\"michigan\"],[\"wisconsin\",\"illinois\"],[\"wisconsin\",\"iowa\"],[\"wisconsin\",\"minnesota\"],[\"wyoming\",\"montana\"],[\"wyoming\",\"south dakota\"],[\"wyoming\",\"nebraska\"],[\"wyoming\",\"colorado\"],[\"wyoming\",\"utah\"],[\"wyoming\",\"idaho\"]]}" ]
how many major cities are in states bordering nebraska <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming <table_name> : border_info col : state_name | border row 1 : alabama | tennessee row 2 : alabama | georgia row 3 : alabama | florida row 4 : alabama | mississippi row 5 : arizona | utah row 6 : arizona | colorado row 7 : arizona | new mexico row 8 : arizona | california row 9 : arizona | nevada row 10 : arkansas | missouri row 11 : arkansas | tennessee row 12 : arkansas | mississippi row 13 : arkansas | louisiana row 14 : arkansas | texas row 15 : arkansas | oklahoma row 16 : california | oregon row 17 : california | nevada row 18 : california | arizona row 19 : colorado | nebraska row 20 : colorado | kansas row 21 : colorado | oklahoma row 22 : colorado | new mexico row 23 : colorado | arizona row 24 : colorado | utah row 25 : colorado | wyoming row 26 : connecticut | massachusetts row 27 : connecticut | rhode island row 28 : connecticut | new york row 29 : delaware | pennsylvania row 30 : delaware | new jersey row 31 : delaware | maryland row 32 : district of columbia | maryland row 33 : district of columbia | virginia row 34 : florida | georgia row 35 : florida | alabama row 36 : georgia | north carolina row 37 : georgia | south carolina row 38 : georgia | florida row 39 : georgia | alabama row 40 : georgia | tennessee row 41 : idaho | montana row 42 : idaho | wyoming row 43 : idaho | utah row 44 : idaho | nevada row 45 : idaho | oregon row 46 : idaho | washington row 47 : illinois | wisconsin row 48 : illinois | indiana row 49 : illinois | kentucky row 50 : illinois | missouri row 51 : illinois | iowa row 52 : indiana | michigan row 53 : indiana | ohio row 54 : indiana | kentucky row 55 : indiana | illinois row 56 : iowa | minnesota row 57 : iowa | wisconsin row 58 : iowa | illinois row 59 : iowa | missouri row 60 : iowa | nebraska row 61 : iowa | south dakota row 62 : kansas | nebraska row 63 : kansas | missouri row 64 : kansas | oklahoma row 65 : kansas | colorado row 66 : kentucky | indiana row 67 : kentucky | ohio row 68 : kentucky | west virginia row 69 : kentucky | virginia row 70 : kentucky | tennessee row 71 : kentucky | missouri row 72 : kentucky | illinois row 73 : louisiana | arkansas row 74 : louisiana | mississippi row 75 : louisiana | texas row 76 : maine | new hampshire row 77 : maryland | pennsylvania row 78 : maryland | delaware row 79 : maryland | virginia row 80 : maryland | district of columbia row 81 : maryland | west virginia row 82 : massachusetts | new hampshire row 83 : massachusetts | rhode island row 84 : massachusetts | connecticut row 85 : massachusetts | new york row 86 : massachusetts | vermont row 87 : michigan | ohio row 88 : michigan | indiana row 89 : michigan | wisconsin row 90 : minnesota | wisconsin row 91 : minnesota | iowa row 92 : minnesota | south dakota row 93 : minnesota | north dakota row 94 : mississippi | tennessee row 95 : mississippi | alabama row 96 : mississippi | louisiana row 97 : mississippi | arkansas row 98 : missouri | iowa row 99 : missouri | illinois row 100 : missouri | kentucky row 101 : missouri | tennessee row 102 : missouri | arkansas row 103 : missouri | oklahoma row 104 : missouri | kansas row 105 : missouri | nebraska row 106 : montana | north dakota row 107 : montana | south dakota row 108 : montana | wyoming row 109 : montana | idaho row 110 : nebraska | south dakota row 111 : nebraska | iowa row 112 : nebraska | missouri row 113 : nebraska | kansas row 114 : nebraska | colorado row 115 : nebraska | wyoming row 116 : nevada | idaho row 117 : nevada | utah row 118 : nevada | arizona row 119 : nevada | california row 120 : nevada | oregon row 121 : new hampshire | maine row 122 : new hampshire | massachusetts row 123 : new hampshire | vermont row 124 : new jersey | new york row 125 : new jersey | delaware row 126 : new jersey | pennsylvania row 127 : new mexico | colorado row 128 : new mexico | oklahoma row 129 : new mexico | texas row 130 : new mexico | arizona row 131 : new mexico | utah row 132 : new york | vermont row 133 : new york | massachusetts row 134 : new york | connecticut row 135 : new york | new jersey row 136 : new york | pennsylvania row 137 : north carolina | virginia row 138 : north carolina | south carolina row 139 : north carolina | georgia row 140 : north carolina | tennessee row 141 : north dakota | minnesota row 142 : north dakota | south dakota row 143 : north dakota | montana row 144 : ohio | michigan row 145 : ohio | pennsylvania row 146 : ohio | west virginia row 147 : ohio | kentucky row 148 : ohio | indiana row 149 : oklahoma | kansas row 150 : oklahoma | missouri row 151 : oklahoma | arkansas row 152 : oklahoma | texas row 153 : oklahoma | new mexico row 154 : oklahoma | colorado row 155 : oregon | washington row 156 : oregon | idaho row 157 : oregon | nevada row 158 : oregon | california row 159 : pennsylvania | new york row 160 : pennsylvania | new jersey row 161 : pennsylvania | delaware row 162 : pennsylvania | maryland row 163 : pennsylvania | west virginia row 164 : pennsylvania | ohio row 165 : rhode island | massachusetts row 166 : rhode island | connecticut row 167 : south carolina | north carolina row 168 : south carolina | georgia row 169 : south dakota | north dakota row 170 : south dakota | minnesota row 171 : south dakota | iowa row 172 : south dakota | nebraska row 173 : south dakota | wyoming row 174 : south dakota | montana row 175 : tennessee | kentucky row 176 : tennessee | virginia row 177 : tennessee | north carolina row 178 : tennessee | georgia row 179 : tennessee | alabama row 180 : tennessee | mississippi row 181 : tennessee | arkansas row 182 : tennessee | missouri row 183 : texas | oklahoma row 184 : texas | arkansas row 185 : texas | louisiana row 186 : texas | new mexico row 187 : utah | wyoming row 188 : utah | colorado row 189 : utah | new mexico row 190 : utah | arizona row 191 : utah | nevada row 192 : utah | idaho row 193 : vermont | new hampshire row 194 : vermont | massachusetts row 195 : vermont | new york row 196 : virginia | maryland row 197 : virginia | district of columbia row 198 : virginia | north carolina row 199 : virginia | tennessee row 200 : virginia | kentucky row 201 : virginia | west virginia row 202 : washington | idaho row 203 : washington | oregon row 204 : west virginia | pennsylvania row 205 : west virginia | maryland row 206 : west virginia | virginia row 207 : west virginia | kentucky row 208 : west virginia | ohio row 209 : wisconsin | michigan row 210 : wisconsin | illinois row 211 : wisconsin | iowa row 212 : wisconsin | minnesota row 213 : wyoming | montana row 214 : wyoming | south dakota row 215 : wyoming | nebraska row 216 : wyoming | colorado row 217 : wyoming | utah row 218 : wyoming | idaho
col : count(city.city_name) row 1 : 8
SELECT state.state_name FROM state WHERE state.capital='salem';
what state has the capital salem
{"columns":["state_name"],"index":[0],"data":[["oregon"]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what state has the capital salem <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : state_name row 1 : oregon
SELECT count(border_info.border) FROM border_info WHERE border_info.state_name=(SELECT state.state_name FROM state WHERE state.area=(SELECT max(state.area) FROM state));
how many states border the largest state
{"columns":["count(border_info.border)"],"index":[0],"data":[[0]]}
[ "state", "border_info" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}", "{\"columns\":[\"state_name\",\"border\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217],\"data\":[[\"alabama\",\"tennessee\"],[\"alabama\",\"georgia\"],[\"alabama\",\"florida\"],[\"alabama\",\"mississippi\"],[\"arizona\",\"utah\"],[\"arizona\",\"colorado\"],[\"arizona\",\"new mexico\"],[\"arizona\",\"california\"],[\"arizona\",\"nevada\"],[\"arkansas\",\"missouri\"],[\"arkansas\",\"tennessee\"],[\"arkansas\",\"mississippi\"],[\"arkansas\",\"louisiana\"],[\"arkansas\",\"texas\"],[\"arkansas\",\"oklahoma\"],[\"california\",\"oregon\"],[\"california\",\"nevada\"],[\"california\",\"arizona\"],[\"colorado\",\"nebraska\"],[\"colorado\",\"kansas\"],[\"colorado\",\"oklahoma\"],[\"colorado\",\"new mexico\"],[\"colorado\",\"arizona\"],[\"colorado\",\"utah\"],[\"colorado\",\"wyoming\"],[\"connecticut\",\"massachusetts\"],[\"connecticut\",\"rhode island\"],[\"connecticut\",\"new york\"],[\"delaware\",\"pennsylvania\"],[\"delaware\",\"new jersey\"],[\"delaware\",\"maryland\"],[\"district of columbia\",\"maryland\"],[\"district of columbia\",\"virginia\"],[\"florida\",\"georgia\"],[\"florida\",\"alabama\"],[\"georgia\",\"north carolina\"],[\"georgia\",\"south carolina\"],[\"georgia\",\"florida\"],[\"georgia\",\"alabama\"],[\"georgia\",\"tennessee\"],[\"idaho\",\"montana\"],[\"idaho\",\"wyoming\"],[\"idaho\",\"utah\"],[\"idaho\",\"nevada\"],[\"idaho\",\"oregon\"],[\"idaho\",\"washington\"],[\"illinois\",\"wisconsin\"],[\"illinois\",\"indiana\"],[\"illinois\",\"kentucky\"],[\"illinois\",\"missouri\"],[\"illinois\",\"iowa\"],[\"indiana\",\"michigan\"],[\"indiana\",\"ohio\"],[\"indiana\",\"kentucky\"],[\"indiana\",\"illinois\"],[\"iowa\",\"minnesota\"],[\"iowa\",\"wisconsin\"],[\"iowa\",\"illinois\"],[\"iowa\",\"missouri\"],[\"iowa\",\"nebraska\"],[\"iowa\",\"south dakota\"],[\"kansas\",\"nebraska\"],[\"kansas\",\"missouri\"],[\"kansas\",\"oklahoma\"],[\"kansas\",\"colorado\"],[\"kentucky\",\"indiana\"],[\"kentucky\",\"ohio\"],[\"kentucky\",\"west virginia\"],[\"kentucky\",\"virginia\"],[\"kentucky\",\"tennessee\"],[\"kentucky\",\"missouri\"],[\"kentucky\",\"illinois\"],[\"louisiana\",\"arkansas\"],[\"louisiana\",\"mississippi\"],[\"louisiana\",\"texas\"],[\"maine\",\"new hampshire\"],[\"maryland\",\"pennsylvania\"],[\"maryland\",\"delaware\"],[\"maryland\",\"virginia\"],[\"maryland\",\"district of columbia\"],[\"maryland\",\"west virginia\"],[\"massachusetts\",\"new hampshire\"],[\"massachusetts\",\"rhode island\"],[\"massachusetts\",\"connecticut\"],[\"massachusetts\",\"new york\"],[\"massachusetts\",\"vermont\"],[\"michigan\",\"ohio\"],[\"michigan\",\"indiana\"],[\"michigan\",\"wisconsin\"],[\"minnesota\",\"wisconsin\"],[\"minnesota\",\"iowa\"],[\"minnesota\",\"south dakota\"],[\"minnesota\",\"north dakota\"],[\"mississippi\",\"tennessee\"],[\"mississippi\",\"alabama\"],[\"mississippi\",\"louisiana\"],[\"mississippi\",\"arkansas\"],[\"missouri\",\"iowa\"],[\"missouri\",\"illinois\"],[\"missouri\",\"kentucky\"],[\"missouri\",\"tennessee\"],[\"missouri\",\"arkansas\"],[\"missouri\",\"oklahoma\"],[\"missouri\",\"kansas\"],[\"missouri\",\"nebraska\"],[\"montana\",\"north dakota\"],[\"montana\",\"south dakota\"],[\"montana\",\"wyoming\"],[\"montana\",\"idaho\"],[\"nebraska\",\"south dakota\"],[\"nebraska\",\"iowa\"],[\"nebraska\",\"missouri\"],[\"nebraska\",\"kansas\"],[\"nebraska\",\"colorado\"],[\"nebraska\",\"wyoming\"],[\"nevada\",\"idaho\"],[\"nevada\",\"utah\"],[\"nevada\",\"arizona\"],[\"nevada\",\"california\"],[\"nevada\",\"oregon\"],[\"new hampshire\",\"maine\"],[\"new hampshire\",\"massachusetts\"],[\"new hampshire\",\"vermont\"],[\"new jersey\",\"new york\"],[\"new jersey\",\"delaware\"],[\"new jersey\",\"pennsylvania\"],[\"new mexico\",\"colorado\"],[\"new mexico\",\"oklahoma\"],[\"new mexico\",\"texas\"],[\"new mexico\",\"arizona\"],[\"new mexico\",\"utah\"],[\"new york\",\"vermont\"],[\"new york\",\"massachusetts\"],[\"new york\",\"connecticut\"],[\"new york\",\"new jersey\"],[\"new york\",\"pennsylvania\"],[\"north carolina\",\"virginia\"],[\"north carolina\",\"south carolina\"],[\"north carolina\",\"georgia\"],[\"north carolina\",\"tennessee\"],[\"north dakota\",\"minnesota\"],[\"north dakota\",\"south dakota\"],[\"north dakota\",\"montana\"],[\"ohio\",\"michigan\"],[\"ohio\",\"pennsylvania\"],[\"ohio\",\"west virginia\"],[\"ohio\",\"kentucky\"],[\"ohio\",\"indiana\"],[\"oklahoma\",\"kansas\"],[\"oklahoma\",\"missouri\"],[\"oklahoma\",\"arkansas\"],[\"oklahoma\",\"texas\"],[\"oklahoma\",\"new mexico\"],[\"oklahoma\",\"colorado\"],[\"oregon\",\"washington\"],[\"oregon\",\"idaho\"],[\"oregon\",\"nevada\"],[\"oregon\",\"california\"],[\"pennsylvania\",\"new york\"],[\"pennsylvania\",\"new jersey\"],[\"pennsylvania\",\"delaware\"],[\"pennsylvania\",\"maryland\"],[\"pennsylvania\",\"west virginia\"],[\"pennsylvania\",\"ohio\"],[\"rhode island\",\"massachusetts\"],[\"rhode island\",\"connecticut\"],[\"south carolina\",\"north carolina\"],[\"south carolina\",\"georgia\"],[\"south dakota\",\"north dakota\"],[\"south dakota\",\"minnesota\"],[\"south dakota\",\"iowa\"],[\"south dakota\",\"nebraska\"],[\"south dakota\",\"wyoming\"],[\"south dakota\",\"montana\"],[\"tennessee\",\"kentucky\"],[\"tennessee\",\"virginia\"],[\"tennessee\",\"north carolina\"],[\"tennessee\",\"georgia\"],[\"tennessee\",\"alabama\"],[\"tennessee\",\"mississippi\"],[\"tennessee\",\"arkansas\"],[\"tennessee\",\"missouri\"],[\"texas\",\"oklahoma\"],[\"texas\",\"arkansas\"],[\"texas\",\"louisiana\"],[\"texas\",\"new mexico\"],[\"utah\",\"wyoming\"],[\"utah\",\"colorado\"],[\"utah\",\"new mexico\"],[\"utah\",\"arizona\"],[\"utah\",\"nevada\"],[\"utah\",\"idaho\"],[\"vermont\",\"new hampshire\"],[\"vermont\",\"massachusetts\"],[\"vermont\",\"new york\"],[\"virginia\",\"maryland\"],[\"virginia\",\"district of columbia\"],[\"virginia\",\"north carolina\"],[\"virginia\",\"tennessee\"],[\"virginia\",\"kentucky\"],[\"virginia\",\"west virginia\"],[\"washington\",\"idaho\"],[\"washington\",\"oregon\"],[\"west virginia\",\"pennsylvania\"],[\"west virginia\",\"maryland\"],[\"west virginia\",\"virginia\"],[\"west virginia\",\"kentucky\"],[\"west virginia\",\"ohio\"],[\"wisconsin\",\"michigan\"],[\"wisconsin\",\"illinois\"],[\"wisconsin\",\"iowa\"],[\"wisconsin\",\"minnesota\"],[\"wyoming\",\"montana\"],[\"wyoming\",\"south dakota\"],[\"wyoming\",\"nebraska\"],[\"wyoming\",\"colorado\"],[\"wyoming\",\"utah\"],[\"wyoming\",\"idaho\"]]}" ]
how many states border the largest state <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318 <table_name> : border_info col : state_name | border row 1 : alabama | tennessee row 2 : alabama | georgia row 3 : alabama | florida row 4 : alabama | mississippi row 5 : arizona | utah row 6 : arizona | colorado row 7 : arizona | new mexico row 8 : arizona | california row 9 : arizona | nevada row 10 : arkansas | missouri row 11 : arkansas | tennessee row 12 : arkansas | mississippi row 13 : arkansas | louisiana row 14 : arkansas | texas row 15 : arkansas | oklahoma row 16 : california | oregon row 17 : california | nevada row 18 : california | arizona row 19 : colorado | nebraska row 20 : colorado | kansas row 21 : colorado | oklahoma row 22 : colorado | new mexico row 23 : colorado | arizona row 24 : colorado | utah row 25 : colorado | wyoming row 26 : connecticut | massachusetts row 27 : connecticut | rhode island row 28 : connecticut | new york row 29 : delaware | pennsylvania row 30 : delaware | new jersey row 31 : delaware | maryland row 32 : district of columbia | maryland row 33 : district of columbia | virginia row 34 : florida | georgia row 35 : florida | alabama row 36 : georgia | north carolina row 37 : georgia | south carolina row 38 : georgia | florida row 39 : georgia | alabama row 40 : georgia | tennessee row 41 : idaho | montana row 42 : idaho | wyoming row 43 : idaho | utah row 44 : idaho | nevada row 45 : idaho | oregon row 46 : idaho | washington row 47 : illinois | wisconsin row 48 : illinois | indiana row 49 : illinois | kentucky row 50 : illinois | missouri row 51 : illinois | iowa row 52 : indiana | michigan row 53 : indiana | ohio row 54 : indiana | kentucky row 55 : indiana | illinois row 56 : iowa | minnesota row 57 : iowa | wisconsin row 58 : iowa | illinois row 59 : iowa | missouri row 60 : iowa | nebraska row 61 : iowa | south dakota row 62 : kansas | nebraska row 63 : kansas | missouri row 64 : kansas | oklahoma row 65 : kansas | colorado row 66 : kentucky | indiana row 67 : kentucky | ohio row 68 : kentucky | west virginia row 69 : kentucky | virginia row 70 : kentucky | tennessee row 71 : kentucky | missouri row 72 : kentucky | illinois row 73 : louisiana | arkansas row 74 : louisiana | mississippi row 75 : louisiana | texas row 76 : maine | new hampshire row 77 : maryland | pennsylvania row 78 : maryland | delaware row 79 : maryland | virginia row 80 : maryland | district of columbia row 81 : maryland | west virginia row 82 : massachusetts | new hampshire row 83 : massachusetts | rhode island row 84 : massachusetts | connecticut row 85 : massachusetts | new york row 86 : massachusetts | vermont row 87 : michigan | ohio row 88 : michigan | indiana row 89 : michigan | wisconsin row 90 : minnesota | wisconsin row 91 : minnesota | iowa row 92 : minnesota | south dakota row 93 : minnesota | north dakota row 94 : mississippi | tennessee row 95 : mississippi | alabama row 96 : mississippi | louisiana row 97 : mississippi | arkansas row 98 : missouri | iowa row 99 : missouri | illinois row 100 : missouri | kentucky row 101 : missouri | tennessee row 102 : missouri | arkansas row 103 : missouri | oklahoma row 104 : missouri | kansas row 105 : missouri | nebraska row 106 : montana | north dakota row 107 : montana | south dakota row 108 : montana | wyoming row 109 : montana | idaho row 110 : nebraska | south dakota row 111 : nebraska | iowa row 112 : nebraska | missouri row 113 : nebraska | kansas row 114 : nebraska | colorado row 115 : nebraska | wyoming row 116 : nevada | idaho row 117 : nevada | utah row 118 : nevada | arizona row 119 : nevada | california row 120 : nevada | oregon row 121 : new hampshire | maine row 122 : new hampshire | massachusetts row 123 : new hampshire | vermont row 124 : new jersey | new york row 125 : new jersey | delaware row 126 : new jersey | pennsylvania row 127 : new mexico | colorado row 128 : new mexico | oklahoma row 129 : new mexico | texas row 130 : new mexico | arizona row 131 : new mexico | utah row 132 : new york | vermont row 133 : new york | massachusetts row 134 : new york | connecticut row 135 : new york | new jersey row 136 : new york | pennsylvania row 137 : north carolina | virginia row 138 : north carolina | south carolina row 139 : north carolina | georgia row 140 : north carolina | tennessee row 141 : north dakota | minnesota row 142 : north dakota | south dakota row 143 : north dakota | montana row 144 : ohio | michigan row 145 : ohio | pennsylvania row 146 : ohio | west virginia row 147 : ohio | kentucky row 148 : ohio | indiana row 149 : oklahoma | kansas row 150 : oklahoma | missouri row 151 : oklahoma | arkansas row 152 : oklahoma | texas row 153 : oklahoma | new mexico row 154 : oklahoma | colorado row 155 : oregon | washington row 156 : oregon | idaho row 157 : oregon | nevada row 158 : oregon | california row 159 : pennsylvania | new york row 160 : pennsylvania | new jersey row 161 : pennsylvania | delaware row 162 : pennsylvania | maryland row 163 : pennsylvania | west virginia row 164 : pennsylvania | ohio row 165 : rhode island | massachusetts row 166 : rhode island | connecticut row 167 : south carolina | north carolina row 168 : south carolina | georgia row 169 : south dakota | north dakota row 170 : south dakota | minnesota row 171 : south dakota | iowa row 172 : south dakota | nebraska row 173 : south dakota | wyoming row 174 : south dakota | montana row 175 : tennessee | kentucky row 176 : tennessee | virginia row 177 : tennessee | north carolina row 178 : tennessee | georgia row 179 : tennessee | alabama row 180 : tennessee | mississippi row 181 : tennessee | arkansas row 182 : tennessee | missouri row 183 : texas | oklahoma row 184 : texas | arkansas row 185 : texas | louisiana row 186 : texas | new mexico row 187 : utah | wyoming row 188 : utah | colorado row 189 : utah | new mexico row 190 : utah | arizona row 191 : utah | nevada row 192 : utah | idaho row 193 : vermont | new hampshire row 194 : vermont | massachusetts row 195 : vermont | new york row 196 : virginia | maryland row 197 : virginia | district of columbia row 198 : virginia | north carolina row 199 : virginia | tennessee row 200 : virginia | kentucky row 201 : virginia | west virginia row 202 : washington | idaho row 203 : washington | oregon row 204 : west virginia | pennsylvania row 205 : west virginia | maryland row 206 : west virginia | virginia row 207 : west virginia | kentucky row 208 : west virginia | ohio row 209 : wisconsin | michigan row 210 : wisconsin | illinois row 211 : wisconsin | iowa row 212 : wisconsin | minnesota row 213 : wyoming | montana row 214 : wyoming | south dakota row 215 : wyoming | nebraska row 216 : wyoming | colorado row 217 : wyoming | utah row 218 : wyoming | idaho
col : count(border_info.border) row 1 : 0
SELECT city.city_name FROM city WHERE city.population=(SELECT max(city.population) FROM city);
what is the biggest city in usa
{"columns":["city_name"],"index":[0],"data":[["new york"]]}
[ "city" ]
[ 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paul\",270230,\"usa\",\"minnesota\"],[\"duluth\",92811,\"usa\",\"minnesota\"],[\"bloomington\",81831,\"usa\",\"minnesota\"],[\"rochester\",57906,\"usa\",\"minnesota\"],[\"jackson\",202895,\"usa\",\"mississippi\"],[\"st. louis\",453085,\"usa\",\"missouri\"],[\"kansas city\",448159,\"usa\",\"missouri\"],[\"springfield\",133116,\"usa\",\"missouri\"],[\"independence\",111797,\"usa\",\"missouri\"],[\"st. joseph\",76691,\"usa\",\"missouri\"],[\"columbia\",62061,\"usa\",\"missouri\"],[\"billings\",66842,\"usa\",\"montana\"],[\"great falls\",56725,\"usa\",\"montana\"],[\"omaha\",314255,\"usa\",\"nebraska\"],[\"lincoln\",171932,\"usa\",\"nebraska\"],[\"las vegas\",164674,\"usa\",\"nevada\"],[\"reno\",100756,\"usa\",\"nevada\"],[\"manchester\",90936,\"usa\",\"new hampshire\"],[\"nashua\",67865,\"usa\",\"new hampshire\"],[\"newark\",329248,\"usa\",\"new jersey\"],[\"jersey city\",223532,\"usa\",\"new jersey\"],[\"paterson\",137970,\"usa\",\"new jersey\"],[\"elizabeth\",106201,\"usa\",\"new 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vernon\",66713,\"usa\",\"new york\"],[\"irondequoit\",57648,\"usa\",\"new york\"],[\"levittown\",57045,\"usa\",\"new york\"],[\"charlotte\",314447,\"usa\",\"north carolina\"],[\"greensboro\",155642,\"usa\",\"north carolina\"],[\"raleigh\",149771,\"usa\",\"north carolina\"],[\"winston-salem\",131885,\"usa\",\"north carolina\"],[\"durham\",100538,\"usa\",\"north carolina\"],[\"high point\",64107,\"usa\",\"north carolina\"],[\"fayetteville\",59507,\"usa\",\"north carolina\"],[\"fargo\",61308,\"usa\",\"north dakota\"],[\"cleveland\",573822,\"usa\",\"ohio\"],[\"columbus\",564871,\"usa\",\"ohio\"],[\"cincinnati\",385457,\"usa\",\"ohio\"],[\"toledo\",354635,\"usa\",\"ohio\"],[\"akron\",237177,\"usa\",\"ohio\"],[\"dayton\",203371,\"usa\",\"ohio\"],[\"youngstown\",115436,\"usa\",\"ohio\"],[\"canton\",93077,\"usa\",\"ohio\"],[\"parma\",92548,\"usa\",\"ohio\"],[\"lorain\",75416,\"usa\",\"ohio\"],[\"springfield\",72563,\"usa\",\"ohio\"],[\"hamilton\",63189,\"usa\",\"ohio\"],[\"lakewood\",61963,\"usa\",\"ohio\"],[\"kettering\",61186,\"usa\",\"ohio\"],[\"euclid\",59999,\"usa\",\"ohio\"],[\"elyria\",57504,\"usa\",\"ohio\"],[\"oklahoma 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island\"],[\"cranston\",71992,\"usa\",\"rhode island\"],[\"pawtucket\",71204,\"usa\",\"rhode island\"],[\"columbia\",101229,\"usa\",\"south carolina\"],[\"charleston\",69855,\"usa\",\"south carolina\"],[\"north charleston\",62504,\"usa\",\"south carolina\"],[\"greenville\",58242,\"usa\",\"south carolina\"],[\"sioux falls\",81343,\"usa\",\"south dakota\"],[\"memphis\",646356,\"usa\",\"tennessee\"],[\"nashville\",455651,\"usa\",\"tennessee\"],[\"knoxville\",175030,\"usa\",\"tennessee\"],[\"chattanooga\",169728,\"usa\",\"tennessee\"],[\"houston\",1595138,\"usa\",\"texas\"],[\"dallas\",904078,\"usa\",\"texas\"],[\"san antonio\",785880,\"usa\",\"texas\"],[\"el paso\",425259,\"usa\",\"texas\"],[\"fort worth\",385164,\"usa\",\"texas\"],[\"austin\",345496,\"usa\",\"texas\"],[\"corpus christi\",231999,\"usa\",\"texas\"],[\"lubbock\",173979,\"usa\",\"texas\"],[\"arlington\",160123,\"usa\",\"texas\"],[\"amarillo\",149230,\"usa\",\"texas\"],[\"garland\",138857,\"usa\",\"texas\"],[\"beaumont\",118102,\"usa\",\"texas\"],[\"pasadena\",112560,\"usa\",\"texas\"],[\"irving\",109943,\"usa\",\"texas\"],[\"waco\",101261,\"usa\",\"texas\"],[\"abilene\",98315,\"usa\",\"texas\"],[\"wichita falls\",94201,\"usa\",\"texas\"],[\"laredo\",91449,\"usa\",\"texas\"],[\"odessa\",90027,\"usa\",\"texas\"],[\"brownsville\",84997,\"usa\",\"texas\"],[\"san angelo\",73240,\"usa\",\"texas\"],[\"richardson\",72496,\"usa\",\"texas\"],[\"plano\",72331,\"usa\",\"texas\"],[\"grand prairie\",71462,\"usa\",\"texas\"],[\"midland\",70525,\"usa\",\"texas\"],[\"tyler\",70508,\"usa\",\"texas\"],[\"mesquite\",67053,\"usa\",\"texas\"],[\"mcallen\",67042,\"usa\",\"texas\"],[\"longview\",62762,\"usa\",\"texas\"],[\"port arthur\",61195,\"usa\",\"texas\"],[\"salt lake 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bay\",87899,\"usa\",\"wisconsin\"],[\"racine\",85725,\"usa\",\"wisconsin\"],[\"kenosha\",77685,\"usa\",\"wisconsin\"],[\"west allis\",63982,\"usa\",\"wisconsin\"],[\"appleton\",58913,\"usa\",\"wisconsin\"],[\"casper\",51016,\"usa\",\"wyoming\"]]}" ]
what is the biggest city in usa <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : city_name row 1 : new york
SELECT city.city_name FROM city WHERE city.state_name='california';
what cities in california
{"columns":["city_name"],"index":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70],"data":[["los angeles"],["san diego"],["san francisco"],["san jose"],["long beach"],["oakland"],["sacramento"],["anaheim"],["fresno"],["santa ana"],["riverside"],["huntington beach"],["stockton"],["glendale"],["fremont"],["torrance"],["garden grove"],["san bernardino"],["pasadena"],["east los angeles"],["oxnard"],["modesto"],["sunnyvale"],["bakersfield"],["concord"],["berkeley"],["fullerton"],["inglewood"],["hayward"],["pomona"],["orange"],["ontario"],["santa monica"],["santa clara"],["citrus heights"],["norwalk"],["burbank"],["chula vista"],["santa rosa"],["downey"],["costa mesa"],["compton"],["carson"],["salinas"],["west covina"],["vallejo"],["el monte"],["daly city"],["thousand oaks"],["san mateo"],["simi valley"],["oceanside"],["richmond"],["lakewood"],["santa barbara"],["el cajon"],["ventura"],["westminster"],["whittier"],["south gate"],["alhambra"],["buena park"],["san leandro"],["alameda"],["newport beach"],["escondido"],["irvine"],["mountain view"],["fairfield"],["redondo beach"],["scotts valley"]]}
[ "city" ]
[ 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rock\",158915,\"usa\",\"arkansas\"],[\"fort smith\",71384,\"usa\",\"arkansas\"],[\"north little rock\",64388,\"usa\",\"arkansas\"],[\"los angeles\",2966850,\"usa\",\"california\"],[\"san diego\",875538,\"usa\",\"california\"],[\"san francisco\",678974,\"usa\",\"california\"],[\"san jose\",629442,\"usa\",\"california\"],[\"long beach\",361334,\"usa\",\"california\"],[\"oakland\",339337,\"usa\",\"california\"],[\"sacramento\",275741,\"usa\",\"california\"],[\"anaheim\",219311,\"usa\",\"california\"],[\"fresno\",218202,\"usa\",\"california\"],[\"santa ana\",203713,\"usa\",\"california\"],[\"riverside\",170876,\"usa\",\"california\"],[\"huntington beach\",170505,\"usa\",\"california\"],[\"stockton\",149779,\"usa\",\"california\"],[\"glendale\",139060,\"usa\",\"california\"],[\"fremont\",131945,\"usa\",\"california\"],[\"torrance\",131497,\"usa\",\"california\"],[\"garden grove\",123351,\"usa\",\"california\"],[\"san bernardino\",118794,\"usa\",\"california\"],[\"pasadena\",118072,\"usa\",\"california\"],[\"east los angeles\",110017,\"usa\",\"california\"],[\"oxnard\",108195,\"usa\",\"california\"],[\"modesto\",106963,\"usa\",\"california\"],[\"sunnyvale\",106618,\"usa\",\"california\"],[\"bakersfield\",105611,\"usa\",\"california\"],[\"concord\",103763,\"usa\",\"california\"],[\"berkeley\",103328,\"usa\",\"california\"],[\"fullerton\",102246,\"usa\",\"california\"],[\"inglewood\",94162,\"usa\",\"california\"],[\"hayward\",93585,\"usa\",\"california\"],[\"pomona\",92742,\"usa\",\"california\"],[\"orange\",91450,\"usa\",\"california\"],[\"ontario\",88820,\"usa\",\"california\"],[\"santa monica\",88314,\"usa\",\"california\"],[\"santa clara\",87700,\"usa\",\"california\"],[\"citrus heights\",85911,\"usa\",\"california\"],[\"norwalk\",84901,\"usa\",\"california\"],[\"burbank\",84625,\"usa\",\"california\"],[\"chula vista\",83927,\"usa\",\"california\"],[\"santa rosa\",83205,\"usa\",\"california\"],[\"downey\",82602,\"usa\",\"california\"],[\"costa mesa\",82291,\"usa\",\"california\"],[\"compton\",81230,\"usa\",\"california\"],[\"carson\",81221,\"usa\",\"california\"],[\"salinas\",80479,\"usa\",\"california\"],[\"west covina\",80292,\"usa\",\"california\"],[\"vallejo\",80188,\"usa\",\"california\"],[\"el monte\",79494,\"usa\",\"california\"],[\"daly city\",78519,\"usa\",\"california\"],[\"thousand oaks\",77797,\"usa\",\"california\"],[\"san mateo\",77640,\"usa\",\"california\"],[\"simi valley\",77500,\"usa\",\"california\"],[\"oceanside\",76698,\"usa\",\"california\"],[\"richmond\",74676,\"usa\",\"california\"],[\"lakewood\",74654,\"usa\",\"california\"],[\"santa barbara\",74542,\"usa\",\"california\"],[\"el cajon\",73892,\"usa\",\"california\"],[\"ventura\",73774,\"usa\",\"california\"],[\"westminster\",71133,\"usa\",\"california\"],[\"whittier\",68558,\"usa\",\"california\"],[\"south gate\",66784,\"usa\",\"california\"],[\"alhambra\",64767,\"usa\",\"california\"],[\"buena park\",64165,\"usa\",\"california\"],[\"san leandro\",63952,\"usa\",\"california\"],[\"alameda\",63852,\"usa\",\"california\"],[\"newport beach\",63475,\"usa\",\"california\"],[\"escondido\",62480,\"usa\",\"california\"],[\"irvine\",62134,\"usa\",\"california\"],[\"mountain view\",58655,\"usa\",\"california\"],[\"fairfield\",58099,\"usa\",\"california\"],[\"redondo beach\",57102,\"usa\",\"california\"],[\"scotts valley\",6037,\"usa\",\"california\"],[\"denver\",492365,\"usa\",\"colorado\"],[\"colorado springs\",215150,\"usa\",\"colorado\"],[\"aurora\",158588,\"usa\",\"colorado\"],[\"lakewood\",113808,\"usa\",\"colorado\"],[\"pueblo\",101686,\"usa\",\"colorado\"],[\"arvada\",84576,\"usa\",\"colorado\"],[\"boulder\",76685,\"usa\",\"colorado\"],[\"fort collins\",64632,\"usa\",\"colorado\"],[\"bridgeport\",142546,\"usa\",\"connecticut\"],[\"hartford\",136392,\"usa\",\"connecticut\"],[\"new haven\",126089,\"usa\",\"connecticut\"],[\"waterbury\",103266,\"usa\",\"connecticut\"],[\"stamford\",102466,\"usa\",\"connecticut\"],[\"norwalk\",77767,\"usa\",\"connecticut\"],[\"new britain\",73840,\"usa\",\"connecticut\"],[\"west hartford\",61301,\"usa\",\"connecticut\"],[\"danbury\",60470,\"usa\",\"connecticut\"],[\"greenwich\",59578,\"usa\",\"connecticut\"],[\"bristol\",57370,\"usa\",\"connecticut\"],[\"meriden\",57118,\"usa\",\"connecticut\"],[\"wilmington\",70195,\"usa\",\"delaware\"],[\"washington\",638333,\"usa\",\"district of columbia\"],[\"jacksonville\",540920,\"usa\",\"florida\"],[\"miami\",346865,\"usa\",\"florida\"],[\"tampa\",271523,\"usa\",\"florida\"],[\"st. petersburg\",238647,\"usa\",\"florida\"],[\"fort lauderdale\",153256,\"usa\",\"florida\"],[\"orlando\",128394,\"usa\",\"florida\"],[\"hollywood\",117188,\"usa\",\"florida\"],[\"miami beach\",96298,\"usa\",\"florida\"],[\"clearwater\",85450,\"usa\",\"florida\"],[\"tallahassee\",81548,\"usa\",\"florida\"],[\"gainesville\",81371,\"usa\",\"florida\"],[\"kendall\",73758,\"usa\",\"florida\"],[\"west palm beach\",62530,\"usa\",\"florida\"],[\"largo\",58977,\"usa\",\"florida\"],[\"pensacola\",57619,\"usa\",\"florida\"],[\"atlanta\",425022,\"usa\",\"georgia\"],[\"columbus\",169441,\"usa\",\"georgia\"],[\"savannah\",141654,\"usa\",\"georgia\"],[\"macon\",116860,\"usa\",\"georgia\"],[\"albany\",74425,\"usa\",\"georgia\"],[\"honolulu\",762874,\"usa\",\"hawaii\"],[\"ewa\",190037,\"usa\",\"hawaii\"],[\"koolaupoko\",109373,\"usa\",\"hawaii\"],[\"boise\",102249,\"usa\",\"idaho\"],[\"chicago\",3005172,\"usa\",\"illinois\"],[\"rockford\",139712,\"usa\",\"illinois\"],[\"peoria\",124160,\"usa\",\"illinois\"],[\"springfield\",100054,\"usa\",\"illinois\"],[\"decatur\",93939,\"usa\",\"illinois\"],[\"aurora\",81293,\"usa\",\"illinois\"],[\"joliet\",77956,\"usa\",\"illinois\"],[\"evanston\",73706,\"usa\",\"illinois\"],[\"waukegan\",67653,\"usa\",\"illinois\"],[\"arlington heights\",66116,\"usa\",\"illinois\"],[\"elgin\",63668,\"usa\",\"illinois\"],[\"cicero\",61232,\"usa\",\"illinois\"],[\"oak lawn\",60590,\"usa\",\"illinois\"],[\"skokie\",60278,\"usa\",\"illinois\"],[\"champaign\",58267,\"usa\",\"illinois\"],[\"indianapolis\",700807,\"usa\",\"indiana\"],[\"fort wayne\",172196,\"usa\",\"indiana\"],[\"gary\",151968,\"usa\",\"indiana\"],[\"evansville\",130496,\"usa\",\"indiana\"],[\"south bend\",109727,\"usa\",\"indiana\"],[\"hammond\",93714,\"usa\",\"indiana\"],[\"muncie\",77216,\"usa\",\"indiana\"],[\"anderson\",64695,\"usa\",\"indiana\"],[\"terre haute\",61125,\"usa\",\"indiana\"],[\"des moines\",191003,\"usa\",\"iowa\"],[\"cedar rapids\",110243,\"usa\",\"iowa\"],[\"davenport\",103254,\"usa\",\"iowa\"],[\"sioux city\",82003,\"usa\",\"iowa\"],[\"waterloo\",75985,\"usa\",\"iowa\"],[\"dubuque\",62321,\"usa\",\"iowa\"],[\"wichita\",279212,\"usa\",\"kansas\"],[\"kansas city\",161148,\"usa\",\"kansas\"],[\"topeka\",118690,\"usa\",\"kansas\"],[\"overland park\",81784,\"usa\",\"kansas\"],[\"louisville\",298451,\"usa\",\"kentucky\"],[\"lexington\",204165,\"usa\",\"kentucky\"],[\"new orleans\",557515,\"usa\",\"louisiana\"],[\"baton rouge\",219419,\"usa\",\"louisiana\"],[\"shreveport\",205820,\"usa\",\"louisiana\"],[\"metairie\",164160,\"usa\",\"louisiana\"],[\"lafayette\",80584,\"usa\",\"louisiana\"],[\"lake charles\",75051,\"usa\",\"louisiana\"],[\"kenner\",66382,\"usa\",\"louisiana\"],[\"monroe\",57597,\"usa\",\"louisiana\"],[\"portland\",61572,\"usa\",\"maine\"],[\"baltimore\",786775,\"usa\",\"maryland\"],[\"silver spring\",72893,\"usa\",\"maryland\"],[\"dundalk\",71293,\"usa\",\"maryland\"],[\"bethesda\",63022,\"usa\",\"maryland\"],[\"boston\",562994,\"usa\",\"massachusetts\"],[\"worcester\",161799,\"usa\",\"massachusetts\"],[\"springfield\",152319,\"usa\",\"massachusetts\"],[\"new bedford\",98478,\"usa\",\"massachusetts\"],[\"cambridge\",95322,\"usa\",\"massachusetts\"],[\"brockton\",95172,\"usa\",\"massachusetts\"],[\"fall river\",92574,\"usa\",\"massachusetts\"],[\"lowell\",92418,\"usa\",\"massachusetts\"],[\"quincy\",84743,\"usa\",\"massachusetts\"],[\"newton\",83622,\"usa\",\"massachusetts\"],[\"lynn\",78471,\"usa\",\"massachusetts\"],[\"somerville\",77372,\"usa\",\"massachusetts\"],[\"framingham\",65113,\"usa\",\"massachusetts\"],[\"lawrence\",63175,\"usa\",\"massachusetts\"],[\"waltham\",58200,\"usa\",\"massachusetts\"],[\"medford\",58076,\"usa\",\"massachusetts\"],[\"detroit\",1203339,\"usa\",\"michigan\"],[\"grand rapids\",181843,\"usa\",\"michigan\"],[\"warren\",161134,\"usa\",\"michigan\"],[\"flint\",159611,\"usa\",\"michigan\"],[\"lansing\",130414,\"usa\",\"michigan\"],[\"sterling heights\",108999,\"usa\",\"michigan\"],[\"ann arbor\",107969,\"usa\",\"michigan\"],[\"livonia\",104814,\"usa\",\"michigan\"],[\"dearborn\",90660,\"usa\",\"michigan\"],[\"westland\",84603,\"usa\",\"michigan\"],[\"kalamazoo\",79722,\"usa\",\"michigan\"],[\"taylor\",77568,\"usa\",\"michigan\"],[\"saginaw\",77508,\"usa\",\"michigan\"],[\"pontiac\",76715,\"usa\",\"michigan\"],[\"st. clair shores\",76210,\"usa\",\"michigan\"],[\"southfield\",75568,\"usa\",\"michigan\"],[\"clinton\",72400,\"usa\",\"michigan\"],[\"royal oak\",70893,\"usa\",\"michigan\"],[\"dearborn heights\",67706,\"usa\",\"michigan\"],[\"troy\",67102,\"usa\",\"michigan\"],[\"waterford\",64250,\"usa\",\"michigan\"],[\"wyoming\",59616,\"usa\",\"michigan\"],[\"redford\",58441,\"usa\",\"michigan\"],[\"farmington hills\",58056,\"usa\",\"michigan\"],[\"minneapolis\",370951,\"usa\",\"minnesota\"],[\"st. paul\",270230,\"usa\",\"minnesota\"],[\"duluth\",92811,\"usa\",\"minnesota\"],[\"bloomington\",81831,\"usa\",\"minnesota\"],[\"rochester\",57906,\"usa\",\"minnesota\"],[\"jackson\",202895,\"usa\",\"mississippi\"],[\"st. louis\",453085,\"usa\",\"missouri\"],[\"kansas city\",448159,\"usa\",\"missouri\"],[\"springfield\",133116,\"usa\",\"missouri\"],[\"independence\",111797,\"usa\",\"missouri\"],[\"st. joseph\",76691,\"usa\",\"missouri\"],[\"columbia\",62061,\"usa\",\"missouri\"],[\"billings\",66842,\"usa\",\"montana\"],[\"great falls\",56725,\"usa\",\"montana\"],[\"omaha\",314255,\"usa\",\"nebraska\"],[\"lincoln\",171932,\"usa\",\"nebraska\"],[\"las vegas\",164674,\"usa\",\"nevada\"],[\"reno\",100756,\"usa\",\"nevada\"],[\"manchester\",90936,\"usa\",\"new hampshire\"],[\"nashua\",67865,\"usa\",\"new hampshire\"],[\"newark\",329248,\"usa\",\"new jersey\"],[\"jersey city\",223532,\"usa\",\"new jersey\"],[\"paterson\",137970,\"usa\",\"new jersey\"],[\"elizabeth\",106201,\"usa\",\"new jersey\"],[\"trenton\",92124,\"usa\",\"new jersey\"],[\"woodbridge\",90074,\"usa\",\"new jersey\"],[\"camden\",84910,\"usa\",\"new jersey\"],[\"east orange\",77878,\"usa\",\"new jersey\"],[\"clifton\",74388,\"usa\",\"new jersey\"],[\"edison\",70193,\"usa\",\"new jersey\"],[\"cherry hill\",68785,\"usa\",\"new jersey\"],[\"bayonne\",65047,\"usa\",\"new jersey\"],[\"middletown\",61615,\"usa\",\"new jersey\"],[\"irvington\",61493,\"usa\",\"new jersey\"],[\"albuquerque\",331767,\"usa\",\"new mexico\"],[\"new york\",7071639,\"usa\",\"new york\"],[\"buffalo\",357870,\"usa\",\"new york\"],[\"rochester\",241741,\"usa\",\"new york\"],[\"yonkers\",195351,\"usa\",\"new york\"],[\"syracuse\",170105,\"usa\",\"new york\"],[\"albany\",101727,\"usa\",\"new york\"],[\"cheektowaga\",92145,\"usa\",\"new york\"],[\"utica\",75632,\"usa\",\"new york\"],[\"niagara falls\",71384,\"usa\",\"new york\"],[\"new rochelle\",70794,\"usa\",\"new york\"],[\"schenectady\",67972,\"usa\",\"new york\"],[\"mount vernon\",66713,\"usa\",\"new york\"],[\"irondequoit\",57648,\"usa\",\"new york\"],[\"levittown\",57045,\"usa\",\"new york\"],[\"charlotte\",314447,\"usa\",\"north carolina\"],[\"greensboro\",155642,\"usa\",\"north carolina\"],[\"raleigh\",149771,\"usa\",\"north carolina\"],[\"winston-salem\",131885,\"usa\",\"north carolina\"],[\"durham\",100538,\"usa\",\"north carolina\"],[\"high point\",64107,\"usa\",\"north carolina\"],[\"fayetteville\",59507,\"usa\",\"north carolina\"],[\"fargo\",61308,\"usa\",\"north dakota\"],[\"cleveland\",573822,\"usa\",\"ohio\"],[\"columbus\",564871,\"usa\",\"ohio\"],[\"cincinnati\",385457,\"usa\",\"ohio\"],[\"toledo\",354635,\"usa\",\"ohio\"],[\"akron\",237177,\"usa\",\"ohio\"],[\"dayton\",203371,\"usa\",\"ohio\"],[\"youngstown\",115436,\"usa\",\"ohio\"],[\"canton\",93077,\"usa\",\"ohio\"],[\"parma\",92548,\"usa\",\"ohio\"],[\"lorain\",75416,\"usa\",\"ohio\"],[\"springfield\",72563,\"usa\",\"ohio\"],[\"hamilton\",63189,\"usa\",\"ohio\"],[\"lakewood\",61963,\"usa\",\"ohio\"],[\"kettering\",61186,\"usa\",\"ohio\"],[\"euclid\",59999,\"usa\",\"ohio\"],[\"elyria\",57504,\"usa\",\"ohio\"],[\"oklahoma city\",403213,\"usa\",\"oklahoma\"],[\"tulsa\",360919,\"usa\",\"oklahoma\"],[\"lawton\",80054,\"usa\",\"oklahoma\"],[\"norman\",68020,\"usa\",\"oklahoma\"],[\"portland\",366383,\"usa\",\"oregon\"],[\"eugene\",105664,\"usa\",\"oregon\"],[\"salem\",89233,\"usa\",\"oregon\"],[\"philadelphia\",1688210,\"usa\",\"pennsylvania\"],[\"pittsburgh\",423938,\"usa\",\"pennsylvania\"],[\"erie\",119123,\"usa\",\"pennsylvania\"],[\"allentown\",103758,\"usa\",\"pennsylvania\"],[\"scranton\",88117,\"usa\",\"pennsylvania\"],[\"upper darby\",84054,\"usa\",\"pennsylvania\"],[\"reading\",78686,\"usa\",\"pennsylvania\"],[\"bethlehem\",70419,\"usa\",\"pennsylvania\"],[\"lower merion\",59651,\"usa\",\"pennsylvania\"],[\"abingdon\",59084,\"usa\",\"pennsylvania\"],[\"bristol township\",58733,\"usa\",\"pennsylvania\"],[\"penn hills\",57632,\"usa\",\"pennsylvania\"],[\"altoona\",57078,\"usa\",\"pennsylvania\"],[\"providence\",156804,\"usa\",\"rhode island\"],[\"warwick\",87123,\"usa\",\"rhode island\"],[\"cranston\",71992,\"usa\",\"rhode island\"],[\"pawtucket\",71204,\"usa\",\"rhode island\"],[\"columbia\",101229,\"usa\",\"south carolina\"],[\"charleston\",69855,\"usa\",\"south carolina\"],[\"north charleston\",62504,\"usa\",\"south carolina\"],[\"greenville\",58242,\"usa\",\"south carolina\"],[\"sioux falls\",81343,\"usa\",\"south dakota\"],[\"memphis\",646356,\"usa\",\"tennessee\"],[\"nashville\",455651,\"usa\",\"tennessee\"],[\"knoxville\",175030,\"usa\",\"tennessee\"],[\"chattanooga\",169728,\"usa\",\"tennessee\"],[\"houston\",1595138,\"usa\",\"texas\"],[\"dallas\",904078,\"usa\",\"texas\"],[\"san antonio\",785880,\"usa\",\"texas\"],[\"el paso\",425259,\"usa\",\"texas\"],[\"fort worth\",385164,\"usa\",\"texas\"],[\"austin\",345496,\"usa\",\"texas\"],[\"corpus christi\",231999,\"usa\",\"texas\"],[\"lubbock\",173979,\"usa\",\"texas\"],[\"arlington\",160123,\"usa\",\"texas\"],[\"amarillo\",149230,\"usa\",\"texas\"],[\"garland\",138857,\"usa\",\"texas\"],[\"beaumont\",118102,\"usa\",\"texas\"],[\"pasadena\",112560,\"usa\",\"texas\"],[\"irving\",109943,\"usa\",\"texas\"],[\"waco\",101261,\"usa\",\"texas\"],[\"abilene\",98315,\"usa\",\"texas\"],[\"wichita falls\",94201,\"usa\",\"texas\"],[\"laredo\",91449,\"usa\",\"texas\"],[\"odessa\",90027,\"usa\",\"texas\"],[\"brownsville\",84997,\"usa\",\"texas\"],[\"san angelo\",73240,\"usa\",\"texas\"],[\"richardson\",72496,\"usa\",\"texas\"],[\"plano\",72331,\"usa\",\"texas\"],[\"grand prairie\",71462,\"usa\",\"texas\"],[\"midland\",70525,\"usa\",\"texas\"],[\"tyler\",70508,\"usa\",\"texas\"],[\"mesquite\",67053,\"usa\",\"texas\"],[\"mcallen\",67042,\"usa\",\"texas\"],[\"longview\",62762,\"usa\",\"texas\"],[\"port arthur\",61195,\"usa\",\"texas\"],[\"salt lake city\",163034,\"usa\",\"utah\"],[\"provo\",74111,\"usa\",\"utah\"],[\"west valley\",72299,\"usa\",\"utah\"],[\"ogden\",64407,\"usa\",\"utah\"],[\"norfolk\",266979,\"usa\",\"virginia\"],[\"virginia beach\",262199,\"usa\",\"virginia\"],[\"richmond\",219214,\"usa\",\"virginia\"],[\"arlington\",152599,\"usa\",\"virginia\"],[\"newport news\",144903,\"usa\",\"virginia\"],[\"hampton\",122617,\"usa\",\"virginia\"],[\"chesapeake\",114226,\"usa\",\"virginia\"],[\"portsmouth\",104577,\"usa\",\"virginia\"],[\"alexandria\",103217,\"usa\",\"virginia\"],[\"roanoke\",100427,\"usa\",\"virginia\"],[\"lynchburg\",66743,\"usa\",\"virginia\"],[\"seattle\",493846,\"usa\",\"washington\"],[\"spokane\",171300,\"usa\",\"washington\"],[\"tacoma\",158501,\"usa\",\"washington\"],[\"bellevue\",73903,\"usa\",\"washington\"],[\"charleston\",63968,\"usa\",\"west virginia\"],[\"huntington\",63684,\"usa\",\"west virginia\"],[\"milwaukee\",636212,\"usa\",\"wisconsin\"],[\"madison\",170616,\"usa\",\"wisconsin\"],[\"green bay\",87899,\"usa\",\"wisconsin\"],[\"racine\",85725,\"usa\",\"wisconsin\"],[\"kenosha\",77685,\"usa\",\"wisconsin\"],[\"west allis\",63982,\"usa\",\"wisconsin\"],[\"appleton\",58913,\"usa\",\"wisconsin\"],[\"casper\",51016,\"usa\",\"wyoming\"]]}" ]
what cities in california <table_name> : city col : city_name | population | country_name | state_name row 1 : birmingham | 284413 | usa | alabama row 2 : mobile | 200452 | usa | alabama row 3 : montgomery | 177857 | usa | alabama row 4 : huntsville | 142513 | usa | alabama row 5 : tuscaloosa | 75143 | usa | alabama row 6 : anchorage | 174431 | usa | alaska row 7 : phoenix | 789704 | usa | arizona row 8 : tucson | 330537 | usa | arizona row 9 : mesa | 152453 | usa | arizona row 10 : tempe | 106919 | usa | arizona row 11 : glendale | 96988 | usa | arizona row 12 : scottsdale | 88622 | usa | arizona row 13 : little rock | 158915 | usa | arkansas row 14 : fort smith | 71384 | usa | arkansas row 15 : north little rock | 64388 | usa | arkansas row 16 : los angeles | 2966850 | usa | california row 17 : san diego | 875538 | usa | california row 18 : san francisco | 678974 | usa | california row 19 : san jose | 629442 | usa | california row 20 : long beach | 361334 | usa | california row 21 : oakland | 339337 | usa | california row 22 : sacramento | 275741 | usa | california row 23 : anaheim | 219311 | usa | california row 24 : fresno | 218202 | usa | california row 25 : santa ana | 203713 | usa | california row 26 : riverside | 170876 | usa | california row 27 : huntington beach | 170505 | usa | california row 28 : stockton | 149779 | usa | california row 29 : glendale | 139060 | usa | california row 30 : fremont | 131945 | usa | california row 31 : torrance | 131497 | usa | california row 32 : garden grove | 123351 | usa | california row 33 : san bernardino | 118794 | usa | california row 34 : pasadena | 118072 | usa | california row 35 : east los angeles | 110017 | usa | california row 36 : oxnard | 108195 | usa | california row 37 : modesto | 106963 | usa | california row 38 : sunnyvale | 106618 | usa | california row 39 : bakersfield | 105611 | usa | california row 40 : concord | 103763 | usa | california row 41 : berkeley | 103328 | usa | california row 42 : fullerton | 102246 | usa | california row 43 : inglewood | 94162 | usa | california row 44 : hayward | 93585 | usa | california row 45 : pomona | 92742 | usa | california row 46 : orange | 91450 | usa | california row 47 : ontario | 88820 | usa | california row 48 : santa monica | 88314 | usa | california row 49 : santa clara | 87700 | usa | california row 50 : citrus heights | 85911 | usa | california row 51 : norwalk | 84901 | usa | california row 52 : burbank | 84625 | usa | california row 53 : chula vista | 83927 | usa | california row 54 : santa rosa | 83205 | usa | california row 55 : downey | 82602 | usa | california row 56 : costa mesa | 82291 | usa | california row 57 : compton | 81230 | usa | california row 58 : carson | 81221 | usa | california row 59 : salinas | 80479 | usa | california row 60 : west covina | 80292 | usa | california row 61 : vallejo | 80188 | usa | california row 62 : el monte | 79494 | usa | california row 63 : daly city | 78519 | usa | california row 64 : thousand oaks | 77797 | usa | california row 65 : san mateo | 77640 | usa | california row 66 : simi valley | 77500 | usa | california row 67 : oceanside | 76698 | usa | california row 68 : richmond | 74676 | usa | california row 69 : lakewood | 74654 | usa | california row 70 : santa barbara | 74542 | usa | california row 71 : el cajon | 73892 | usa | california row 72 : ventura | 73774 | usa | california row 73 : westminster | 71133 | usa | california row 74 : whittier | 68558 | usa | california row 75 : south gate | 66784 | usa | california row 76 : alhambra | 64767 | usa | california row 77 : buena park | 64165 | usa | california row 78 : san leandro | 63952 | usa | california row 79 : alameda | 63852 | usa | california row 80 : newport beach | 63475 | usa | california row 81 : escondido | 62480 | usa | california row 82 : irvine | 62134 | usa | california row 83 : mountain view | 58655 | usa | california row 84 : fairfield | 58099 | usa | california row 85 : redondo beach | 57102 | usa | california row 86 : scotts valley | 6037 | usa | california row 87 : denver | 492365 | usa | colorado row 88 : colorado springs | 215150 | usa | colorado row 89 : aurora | 158588 | usa | colorado row 90 : lakewood | 113808 | usa | colorado row 91 : pueblo | 101686 | usa | colorado row 92 : arvada | 84576 | usa | colorado row 93 : boulder | 76685 | usa | colorado row 94 : fort collins | 64632 | usa | colorado row 95 : bridgeport | 142546 | usa | connecticut row 96 : hartford | 136392 | usa | connecticut row 97 : new haven | 126089 | usa | connecticut row 98 : waterbury | 103266 | usa | connecticut row 99 : stamford | 102466 | usa | connecticut row 100 : norwalk | 77767 | usa | connecticut row 101 : new britain | 73840 | usa | connecticut row 102 : west hartford | 61301 | usa | connecticut row 103 : danbury | 60470 | usa | connecticut row 104 : greenwich | 59578 | usa | connecticut row 105 : bristol | 57370 | usa | connecticut row 106 : meriden | 57118 | usa | connecticut row 107 : wilmington | 70195 | usa | delaware row 108 : washington | 638333 | usa | district of columbia row 109 : jacksonville | 540920 | usa | florida row 110 : miami | 346865 | usa | florida row 111 : tampa | 271523 | usa | florida row 112 : st. petersburg | 238647 | usa | florida row 113 : fort lauderdale | 153256 | usa | florida row 114 : orlando | 128394 | usa | florida row 115 : hollywood | 117188 | usa | florida row 116 : miami beach | 96298 | usa | florida row 117 : clearwater | 85450 | usa | florida row 118 : tallahassee | 81548 | usa | florida row 119 : gainesville | 81371 | usa | florida row 120 : kendall | 73758 | usa | florida row 121 : west palm beach | 62530 | usa | florida row 122 : largo | 58977 | usa | florida row 123 : pensacola | 57619 | usa | florida row 124 : atlanta | 425022 | usa | georgia row 125 : columbus | 169441 | usa | georgia row 126 : savannah | 141654 | usa | georgia row 127 : macon | 116860 | usa | georgia row 128 : albany | 74425 | usa | georgia row 129 : honolulu | 762874 | usa | hawaii row 130 : ewa | 190037 | usa | hawaii row 131 : koolaupoko | 109373 | usa | hawaii row 132 : boise | 102249 | usa | idaho row 133 : chicago | 3005172 | usa | illinois row 134 : rockford | 139712 | usa | illinois row 135 : peoria | 124160 | usa | illinois row 136 : springfield | 100054 | usa | illinois row 137 : decatur | 93939 | usa | illinois row 138 : aurora | 81293 | usa | illinois row 139 : joliet | 77956 | usa | illinois row 140 : evanston | 73706 | usa | illinois row 141 : waukegan | 67653 | usa | illinois row 142 : arlington heights | 66116 | usa | illinois row 143 : elgin | 63668 | usa | illinois row 144 : cicero | 61232 | usa | illinois row 145 : oak lawn | 60590 | usa | illinois row 146 : skokie | 60278 | usa | illinois row 147 : champaign | 58267 | usa | illinois row 148 : indianapolis | 700807 | usa | indiana row 149 : fort wayne | 172196 | usa | indiana row 150 : gary | 151968 | usa | indiana row 151 : evansville | 130496 | usa | indiana row 152 : south bend | 109727 | usa | indiana row 153 : hammond | 93714 | usa | indiana row 154 : muncie | 77216 | usa | indiana row 155 : anderson | 64695 | usa | indiana row 156 : terre haute | 61125 | usa | indiana row 157 : des moines | 191003 | usa | iowa row 158 : cedar rapids | 110243 | usa | iowa row 159 : davenport | 103254 | usa | iowa row 160 : sioux city | 82003 | usa | iowa row 161 : waterloo | 75985 | usa | iowa row 162 : dubuque | 62321 | usa | iowa row 163 : wichita | 279212 | usa | kansas row 164 : kansas city | 161148 | usa | kansas row 165 : topeka | 118690 | usa | kansas row 166 : overland park | 81784 | usa | kansas row 167 : louisville | 298451 | usa | kentucky row 168 : lexington | 204165 | usa | kentucky row 169 : new orleans | 557515 | usa | louisiana row 170 : baton rouge | 219419 | usa | louisiana row 171 : shreveport | 205820 | usa | louisiana row 172 : metairie | 164160 | usa | louisiana row 173 : lafayette | 80584 | usa | louisiana row 174 : lake charles | 75051 | usa | louisiana row 175 : kenner | 66382 | usa | louisiana row 176 : monroe | 57597 | usa | louisiana row 177 : portland | 61572 | usa | maine row 178 : baltimore | 786775 | usa | maryland row 179 : silver spring | 72893 | usa | maryland row 180 : dundalk | 71293 | usa | maryland row 181 : bethesda | 63022 | usa | maryland row 182 : boston | 562994 | usa | massachusetts row 183 : worcester | 161799 | usa | massachusetts row 184 : springfield | 152319 | usa | massachusetts row 185 : new bedford | 98478 | usa | massachusetts row 186 : cambridge | 95322 | usa | massachusetts row 187 : brockton | 95172 | usa | massachusetts row 188 : fall river | 92574 | usa | massachusetts row 189 : lowell | 92418 | usa | massachusetts row 190 : quincy | 84743 | usa | massachusetts row 191 : newton | 83622 | usa | massachusetts row 192 : lynn | 78471 | usa | massachusetts row 193 : somerville | 77372 | usa | massachusetts row 194 : framingham | 65113 | usa | massachusetts row 195 : lawrence | 63175 | usa | massachusetts row 196 : waltham | 58200 | usa | massachusetts row 197 : medford | 58076 | usa | massachusetts row 198 : detroit | 1203339 | usa | michigan row 199 : grand rapids | 181843 | usa | michigan row 200 : warren | 161134 | usa | michigan row 201 : flint | 159611 | usa | michigan row 202 : lansing | 130414 | usa | michigan row 203 : sterling heights | 108999 | usa | michigan row 204 : ann arbor | 107969 | usa | michigan row 205 : livonia | 104814 | usa | michigan row 206 : dearborn | 90660 | usa | michigan row 207 : westland | 84603 | usa | michigan row 208 : kalamazoo | 79722 | usa | michigan row 209 : taylor | 77568 | usa | michigan row 210 : saginaw | 77508 | usa | michigan row 211 : pontiac | 76715 | usa | michigan row 212 : st. clair shores | 76210 | usa | michigan row 213 : southfield | 75568 | usa | michigan row 214 : clinton | 72400 | usa | michigan row 215 : royal oak | 70893 | usa | michigan row 216 : dearborn heights | 67706 | usa | michigan row 217 : troy | 67102 | usa | michigan row 218 : waterford | 64250 | usa | michigan row 219 : wyoming | 59616 | usa | michigan row 220 : redford | 58441 | usa | michigan row 221 : farmington hills | 58056 | usa | michigan row 222 : minneapolis | 370951 | usa | minnesota row 223 : st. paul | 270230 | usa | minnesota row 224 : duluth | 92811 | usa | minnesota row 225 : bloomington | 81831 | usa | minnesota row 226 : rochester | 57906 | usa | minnesota row 227 : jackson | 202895 | usa | mississippi row 228 : st. louis | 453085 | usa | missouri row 229 : kansas city | 448159 | usa | missouri row 230 : springfield | 133116 | usa | missouri row 231 : independence | 111797 | usa | missouri row 232 : st. joseph | 76691 | usa | missouri row 233 : columbia | 62061 | usa | missouri row 234 : billings | 66842 | usa | montana row 235 : great falls | 56725 | usa | montana row 236 : omaha | 314255 | usa | nebraska row 237 : lincoln | 171932 | usa | nebraska row 238 : las vegas | 164674 | usa | nevada row 239 : reno | 100756 | usa | nevada row 240 : manchester | 90936 | usa | new hampshire row 241 : nashua | 67865 | usa | new hampshire row 242 : newark | 329248 | usa | new jersey row 243 : jersey city | 223532 | usa | new jersey row 244 : paterson | 137970 | usa | new jersey row 245 : elizabeth | 106201 | usa | new jersey row 246 : trenton | 92124 | usa | new jersey row 247 : woodbridge | 90074 | usa | new jersey row 248 : camden | 84910 | usa | new jersey row 249 : east orange | 77878 | usa | new jersey row 250 : clifton | 74388 | usa | new jersey row 251 : edison | 70193 | usa | new jersey row 252 : cherry hill | 68785 | usa | new jersey row 253 : bayonne | 65047 | usa | new jersey row 254 : middletown | 61615 | usa | new jersey row 255 : irvington | 61493 | usa | new jersey row 256 : albuquerque | 331767 | usa | new mexico row 257 : new york | 7071639 | usa | new york row 258 : buffalo | 357870 | usa | new york row 259 : rochester | 241741 | usa | new york row 260 : yonkers | 195351 | usa | new york row 261 : syracuse | 170105 | usa | new york row 262 : albany | 101727 | usa | new york row 263 : cheektowaga | 92145 | usa | new york row 264 : utica | 75632 | usa | new york row 265 : niagara falls | 71384 | usa | new york row 266 : new rochelle | 70794 | usa | new york row 267 : schenectady | 67972 | usa | new york row 268 : mount vernon | 66713 | usa | new york row 269 : irondequoit | 57648 | usa | new york row 270 : levittown | 57045 | usa | new york row 271 : charlotte | 314447 | usa | north carolina row 272 : greensboro | 155642 | usa | north carolina row 273 : raleigh | 149771 | usa | north carolina row 274 : winston-salem | 131885 | usa | north carolina row 275 : durham | 100538 | usa | north carolina row 276 : high point | 64107 | usa | north carolina row 277 : fayetteville | 59507 | usa | north carolina row 278 : fargo | 61308 | usa | north dakota row 279 : cleveland | 573822 | usa | ohio row 280 : columbus | 564871 | usa | ohio row 281 : cincinnati | 385457 | usa | ohio row 282 : toledo | 354635 | usa | ohio row 283 : akron | 237177 | usa | ohio row 284 : dayton | 203371 | usa | ohio row 285 : youngstown | 115436 | usa | ohio row 286 : canton | 93077 | usa | ohio row 287 : parma | 92548 | usa | ohio row 288 : lorain | 75416 | usa | ohio row 289 : springfield | 72563 | usa | ohio row 290 : hamilton | 63189 | usa | ohio row 291 : lakewood | 61963 | usa | ohio row 292 : kettering | 61186 | usa | ohio row 293 : euclid | 59999 | usa | ohio row 294 : elyria | 57504 | usa | ohio row 295 : oklahoma city | 403213 | usa | oklahoma row 296 : tulsa | 360919 | usa | oklahoma row 297 : lawton | 80054 | usa | oklahoma row 298 : norman | 68020 | usa | oklahoma row 299 : portland | 366383 | usa | oregon row 300 : eugene | 105664 | usa | oregon row 301 : salem | 89233 | usa | oregon row 302 : philadelphia | 1688210 | usa | pennsylvania row 303 : pittsburgh | 423938 | usa | pennsylvania row 304 : erie | 119123 | usa | pennsylvania row 305 : allentown | 103758 | usa | pennsylvania row 306 : scranton | 88117 | usa | pennsylvania row 307 : upper darby | 84054 | usa | pennsylvania row 308 : reading | 78686 | usa | pennsylvania row 309 : bethlehem | 70419 | usa | pennsylvania row 310 : lower merion | 59651 | usa | pennsylvania row 311 : abingdon | 59084 | usa | pennsylvania row 312 : bristol township | 58733 | usa | pennsylvania row 313 : penn hills | 57632 | usa | pennsylvania row 314 : altoona | 57078 | usa | pennsylvania row 315 : providence | 156804 | usa | rhode island row 316 : warwick | 87123 | usa | rhode island row 317 : cranston | 71992 | usa | rhode island row 318 : pawtucket | 71204 | usa | rhode island row 319 : columbia | 101229 | usa | south carolina row 320 : charleston | 69855 | usa | south carolina row 321 : north charleston | 62504 | usa | south carolina row 322 : greenville | 58242 | usa | south carolina row 323 : sioux falls | 81343 | usa | south dakota row 324 : memphis | 646356 | usa | tennessee row 325 : nashville | 455651 | usa | tennessee row 326 : knoxville | 175030 | usa | tennessee row 327 : chattanooga | 169728 | usa | tennessee row 328 : houston | 1595138 | usa | texas row 329 : dallas | 904078 | usa | texas row 330 : san antonio | 785880 | usa | texas row 331 : el paso | 425259 | usa | texas row 332 : fort worth | 385164 | usa | texas row 333 : austin | 345496 | usa | texas row 334 : corpus christi | 231999 | usa | texas row 335 : lubbock | 173979 | usa | texas row 336 : arlington | 160123 | usa | texas row 337 : amarillo | 149230 | usa | texas row 338 : garland | 138857 | usa | texas row 339 : beaumont | 118102 | usa | texas row 340 : pasadena | 112560 | usa | texas row 341 : irving | 109943 | usa | texas row 342 : waco | 101261 | usa | texas row 343 : abilene | 98315 | usa | texas row 344 : wichita falls | 94201 | usa | texas row 345 : laredo | 91449 | usa | texas row 346 : odessa | 90027 | usa | texas row 347 : brownsville | 84997 | usa | texas row 348 : san angelo | 73240 | usa | texas row 349 : richardson | 72496 | usa | texas row 350 : plano | 72331 | usa | texas row 351 : grand prairie | 71462 | usa | texas row 352 : midland | 70525 | usa | texas row 353 : tyler | 70508 | usa | texas row 354 : mesquite | 67053 | usa | texas row 355 : mcallen | 67042 | usa | texas row 356 : longview | 62762 | usa | texas row 357 : port arthur | 61195 | usa | texas row 358 : salt lake city | 163034 | usa | utah row 359 : provo | 74111 | usa | utah row 360 : west valley | 72299 | usa | utah row 361 : ogden | 64407 | usa | utah row 362 : norfolk | 266979 | usa | virginia row 363 : virginia beach | 262199 | usa | virginia row 364 : richmond | 219214 | usa | virginia row 365 : arlington | 152599 | usa | virginia row 366 : newport news | 144903 | usa | virginia row 367 : hampton | 122617 | usa | virginia row 368 : chesapeake | 114226 | usa | virginia row 369 : portsmouth | 104577 | usa | virginia row 370 : alexandria | 103217 | usa | virginia row 371 : roanoke | 100427 | usa | virginia row 372 : lynchburg | 66743 | usa | virginia row 373 : seattle | 493846 | usa | washington row 374 : spokane | 171300 | usa | washington row 375 : tacoma | 158501 | usa | washington row 376 : bellevue | 73903 | usa | washington row 377 : charleston | 63968 | usa | west virginia row 378 : huntington | 63684 | usa | west virginia row 379 : milwaukee | 636212 | usa | wisconsin row 380 : madison | 170616 | usa | wisconsin row 381 : green bay | 87899 | usa | wisconsin row 382 : racine | 85725 | usa | wisconsin row 383 : kenosha | 77685 | usa | wisconsin row 384 : west allis | 63982 | usa | wisconsin row 385 : appleton | 58913 | usa | wisconsin row 386 : casper | 51016 | usa | wyoming
col : city_name row 1 : los angeles row 2 : san diego row 3 : san francisco row 4 : san jose row 5 : long beach row 6 : oakland row 7 : sacramento row 8 : anaheim row 9 : fresno row 10 : santa ana row 11 : riverside row 12 : huntington beach row 13 : stockton row 14 : glendale row 15 : fremont row 16 : torrance row 17 : garden grove row 18 : san bernardino row 19 : pasadena row 20 : east los angeles row 21 : oxnard row 22 : modesto row 23 : sunnyvale row 24 : bakersfield row 25 : concord row 26 : berkeley row 27 : fullerton row 28 : inglewood row 29 : hayward row 30 : pomona row 31 : orange row 32 : ontario row 33 : santa monica row 34 : santa clara row 35 : citrus heights row 36 : norwalk row 37 : burbank row 38 : chula vista row 39 : santa rosa row 40 : downey row 41 : costa mesa row 42 : compton row 43 : carson row 44 : salinas row 45 : west covina row 46 : vallejo row 47 : el monte row 48 : daly city row 49 : thousand oaks row 50 : san mateo row 51 : simi valley row 52 : oceanside row 53 : richmond row 54 : lakewood row 55 : santa barbara row 56 : el cajon row 57 : ventura row 58 : westminster row 59 : whittier row 60 : south gate row 61 : alhambra row 62 : buena park row 63 : san leandro row 64 : alameda row 65 : newport beach row 66 : escondido row 67 : irvine row 68 : mountain view row 69 : fairfield row 70 : redondo beach row 71 : scotts valley
SELECT river.river_name FROM river WHERE river.traverse='oregon';
what rivers are in oregon
{"columns":["river_name"],"index":[0,1],"data":[["snake"],["columbia"]]}
[ "river" ]
[ "{\"columns\":[\"river_name\",\"length\",\"country_name\",\"traverse\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148],\"data\":[[\"mississippi\",3778,\"usa\",\"minnesota\"],[\"mississippi\",3778,\"usa\",\"wisconsin\"],[\"mississippi\",3778,\"usa\",\"iowa\"],[\"mississippi\",3778,\"usa\",\"illinois\"],[\"mississippi\",3778,\"usa\",\"missouri\"],[\"mississippi\",3778,\"usa\",\"kentucky\"],[\"mississippi\",3778,\"usa\",\"tennessee\"],[\"mississippi\",3778,\"usa\",\"arkansas\"],[\"mississippi\",3778,\"usa\",\"mississippi\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"mississippi\",3778,\"usa\",\"louisiana\"],[\"missouri\",3968,\"usa\",\"montana\"],[\"missouri\",3968,\"usa\",\"north dakota\"],[\"missouri\",3968,\"usa\",\"south dakota\"],[\"missouri\",3968,\"usa\",\"iowa\"],[\"missouri\",3968,\"usa\",\"nebraska\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"missouri\",3968,\"usa\",\"missouri\"],[\"colorado\",2333,\"usa\",\"colorado\"],[\"colorado\",2333,\"usa\",\"utah\"],[\"colorado\",2333,\"usa\",\"arizona\"],[\"colorado\",2333,\"usa\",\"nevada\"],[\"colorado\",2333,\"usa\",\"california\"],[\"ohio\",1569,\"usa\",\"pennsylvania\"],[\"ohio\",1569,\"usa\",\"west virginia\"],[\"ohio\",1569,\"usa\",\"kentucky\"],[\"ohio\",1569,\"usa\",\"indiana\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"illinois\"],[\"ohio\",1569,\"usa\",\"ohio\"],[\"red\",1638,\"usa\",\"new mexico\"],[\"red\",1638,\"usa\",\"texas\"],[\"red\",1638,\"usa\",\"oklahoma\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"arkansas\"],[\"red\",1638,\"usa\",\"louisiana\"],[\"arkansas\",2333,\"usa\",\"colorado\"],[\"arkansas\",2333,\"usa\",\"kansas\"],[\"arkansas\",2333,\"usa\",\"oklahoma\"],[\"arkansas\",2333,\"usa\",\"arkansas\"],[\"canadian\",1458,\"usa\",\"colorado\"],[\"canadian\",1458,\"usa\",\"new mexico\"],[\"canadian\",1458,\"usa\",\"texas\"],[\"canadian\",1458,\"usa\",\"oklahoma\"],[\"connecticut\",655,\"usa\",\"new hampshire\"],[\"connecticut\",655,\"usa\",\"vermont\"],[\"connecticut\",655,\"usa\",\"massachusetts\"],[\"connecticut\",655,\"usa\",\"connecticut\"],[\"delaware\",451,\"usa\",\"new york\"],[\"delaware\",451,\"usa\",\"pennsylvania\"],[\"delaware\",451,\"usa\",\"new jersey\"],[\"delaware\",451,\"usa\",\"delaware\"],[\"little missouri\",901,\"usa\",\"wyoming\"],[\"little missouri\",901,\"usa\",\"montana\"],[\"little missouri\",901,\"usa\",\"south dakota\"],[\"little missouri\",901,\"usa\",\"north dakota\"],[\"snake\",1670,\"usa\",\"wyoming\"],[\"snake\",1670,\"usa\",\"idaho\"],[\"snake\",1670,\"usa\",\"oregon\"],[\"snake\",1670,\"usa\",\"washington\"],[\"snake\",1670,\"usa\",\"washington\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"georgia\"],[\"chattahoochee\",702,\"usa\",\"florida\"],[\"cimarron\",965,\"usa\",\"new mexico\"],[\"cimarron\",965,\"usa\",\"kansas\"],[\"cimarron\",965,\"usa\",\"oklahoma\"],[\"green\",1175,\"usa\",\"wyoming\"],[\"green\",1175,\"usa\",\"utah\"],[\"green\",1175,\"usa\",\"colorado\"],[\"green\",1175,\"usa\",\"utah\"],[\"north platte\",1094,\"usa\",\"colorado\"],[\"north platte\",1094,\"usa\",\"wyoming\"],[\"north platte\",1094,\"usa\",\"nebraska\"],[\"potomac\",462,\"usa\",\"west virginia\"],[\"potomac\",462,\"usa\",\"maryland\"],[\"potomac\",462,\"usa\",\"virginia\"],[\"potomac\",462,\"usa\",\"district of columbia\"],[\"republican\",679,\"usa\",\"colorado\"],[\"republican\",679,\"usa\",\"nebraska\"],[\"republican\",679,\"usa\",\"kansas\"],[\"rio grande\",3033,\"usa\",\"colorado\"],[\"rio grande\",3033,\"usa\",\"new mexico\"],[\"rio grande\",3033,\"usa\",\"texas\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"new mexico\"],[\"san juan\",579,\"usa\",\"colorado\"],[\"san juan\",579,\"usa\",\"utah\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"alabama\"],[\"tennessee\",1049,\"usa\",\"tennessee\"],[\"tennessee\",1049,\"usa\",\"kentucky\"],[\"wabash\",764,\"usa\",\"ohio\"],[\"wabash\",764,\"usa\",\"indiana\"],[\"wabash\",764,\"usa\",\"illinois\"],[\"yellowstone\",1080,\"usa\",\"wyoming\"],[\"yellowstone\",1080,\"usa\",\"montana\"],[\"yellowstone\",1080,\"usa\",\"north dakota\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"allegheny\",523,\"usa\",\"new york\"],[\"allegheny\",523,\"usa\",\"pennsylvania\"],[\"bighorn\",541,\"usa\",\"wyoming\"],[\"bighorn\",541,\"usa\",\"montana\"],[\"cheyenne\",848,\"usa\",\"wyoming\"],[\"cheyenne\",848,\"usa\",\"north dakota\"],[\"clark fork\",483,\"usa\",\"montana\"],[\"clark fork\",483,\"usa\",\"idaho\"],[\"columbia\",1953,\"usa\",\"washington\"],[\"columbia\",1953,\"usa\",\"oregon\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"cumberland\",1105,\"usa\",\"tennessee\"],[\"cumberland\",1105,\"usa\",\"kentucky\"],[\"dakota\",1142,\"usa\",\"north dakota\"],[\"dakota\",1142,\"usa\",\"south dakota\"],[\"gila\",805,\"usa\",\"new mexico\"],[\"gila\",805,\"usa\",\"arizona\"],[\"hudson\",492,\"usa\",\"new york\"],[\"hudson\",492,\"usa\",\"new jersey\"],[\"neosho\",740,\"usa\",\"kansas\"],[\"neosho\",740,\"usa\",\"oklahoma\"],[\"niobrara\",693,\"usa\",\"wyoming\"],[\"niobrara\",693,\"usa\",\"nebraska\"],[\"ouachita\",973,\"usa\",\"arkansas\"],[\"ouachita\",973,\"usa\",\"louisiana\"],[\"pearl\",788,\"usa\",\"michigan\"],[\"pearl\",788,\"usa\",\"louisiana\"],[\"pecos\",805,\"usa\",\"new mexico\"],[\"pecos\",805,\"usa\",\"texas\"],[\"powder\",603,\"usa\",\"wyoming\"],[\"powder\",603,\"usa\",\"montana\"],[\"roanoke\",660,\"usa\",\"virginia\"],[\"roanoke\",660,\"usa\",\"north carolina\"],[\"rock\",459,\"usa\",\"wisconsin\"],[\"rock\",459,\"usa\",\"illinois\"],[\"smoky hill\",869,\"usa\",\"colorado\"],[\"smoky hill\",869,\"usa\",\"kansas\"],[\"south platte\",682,\"usa\",\"colorado\"],[\"south platte\",682,\"usa\",\"nebraska\"],[\"st. francis\",684,\"usa\",\"missouri\"],[\"st. francis\",684,\"usa\",\"arkansas\"],[\"tombigbee\",658,\"usa\",\"mississippi\"],[\"tombigbee\",658,\"usa\",\"alabama\"],[\"washita\",805,\"usa\",\"texas\"],[\"washita\",805,\"usa\",\"oklahoma\"],[\"wateree catawba\",636,\"usa\",\"north carolina\"],[\"wateree catawba\",636,\"usa\",\"south carolina\"],[\"white\",1110,\"usa\",\"arkansas\"],[\"white\",1110,\"usa\",\"missouri\"],[\"white\",1110,\"usa\",\"arkansas\"]]}" ]
what rivers are in oregon <table_name> : river col : river_name | length | country_name | traverse row 1 : mississippi | 3778 | usa | minnesota row 2 : mississippi | 3778 | usa | wisconsin row 3 : mississippi | 3778 | usa | iowa row 4 : mississippi | 3778 | usa | illinois row 5 : mississippi | 3778 | usa | missouri row 6 : mississippi | 3778 | usa | kentucky row 7 : mississippi | 3778 | usa | tennessee row 8 : mississippi | 3778 | usa | arkansas row 9 : mississippi | 3778 | usa | mississippi row 10 : mississippi | 3778 | usa | louisiana row 11 : mississippi | 3778 | usa | louisiana row 12 : missouri | 3968 | usa | montana row 13 : missouri | 3968 | usa | north dakota row 14 : missouri | 3968 | usa | south dakota row 15 : missouri | 3968 | usa | iowa row 16 : missouri | 3968 | usa | nebraska row 17 : missouri | 3968 | usa | missouri row 18 : missouri | 3968 | usa | missouri row 19 : colorado | 2333 | usa | colorado row 20 : colorado | 2333 | usa | utah row 21 : colorado | 2333 | usa | arizona row 22 : colorado | 2333 | usa | nevada row 23 : colorado | 2333 | usa | california row 24 : ohio | 1569 | usa | pennsylvania row 25 : ohio | 1569 | usa | west virginia row 26 : ohio | 1569 | usa | kentucky row 27 : ohio | 1569 | usa | indiana row 28 : ohio | 1569 | usa | illinois row 29 : ohio | 1569 | usa | illinois row 30 : ohio | 1569 | usa | ohio row 31 : red | 1638 | usa | new mexico row 32 : red | 1638 | usa | texas row 33 : red | 1638 | usa | oklahoma row 34 : red | 1638 | usa | arkansas row 35 : red | 1638 | usa | arkansas row 36 : red | 1638 | usa | louisiana row 37 : arkansas | 2333 | usa | colorado row 38 : arkansas | 2333 | usa | kansas row 39 : arkansas | 2333 | usa | oklahoma row 40 : arkansas | 2333 | usa | arkansas row 41 : canadian | 1458 | usa | colorado row 42 : canadian | 1458 | usa | new mexico row 43 : canadian | 1458 | usa | texas row 44 : canadian | 1458 | usa | oklahoma row 45 : connecticut | 655 | usa | new hampshire row 46 : connecticut | 655 | usa | vermont row 47 : connecticut | 655 | usa | massachusetts row 48 : connecticut | 655 | usa | connecticut row 49 : delaware | 451 | usa | new york row 50 : delaware | 451 | usa | pennsylvania row 51 : delaware | 451 | usa | new jersey row 52 : delaware | 451 | usa | delaware row 53 : little missouri | 901 | usa | wyoming row 54 : little missouri | 901 | usa | montana row 55 : little missouri | 901 | usa | south dakota row 56 : little missouri | 901 | usa | north dakota row 57 : snake | 1670 | usa | wyoming row 58 : snake | 1670 | usa | idaho row 59 : snake | 1670 | usa | oregon row 60 : snake | 1670 | usa | washington row 61 : snake | 1670 | usa | washington row 62 : chattahoochee | 702 | usa | georgia row 63 : chattahoochee | 702 | usa | georgia row 64 : chattahoochee | 702 | usa | florida row 65 : cimarron | 965 | usa | new mexico row 66 : cimarron | 965 | usa | kansas row 67 : cimarron | 965 | usa | oklahoma row 68 : green | 1175 | usa | wyoming row 69 : green | 1175 | usa | utah row 70 : green | 1175 | usa | colorado row 71 : green | 1175 | usa | utah row 72 : north platte | 1094 | usa | colorado row 73 : north platte | 1094 | usa | wyoming row 74 : north platte | 1094 | usa | nebraska row 75 : potomac | 462 | usa | west virginia row 76 : potomac | 462 | usa | maryland row 77 : potomac | 462 | usa | virginia row 78 : potomac | 462 | usa | district of columbia row 79 : republican | 679 | usa | colorado row 80 : republican | 679 | usa | nebraska row 81 : republican | 679 | usa | kansas row 82 : rio grande | 3033 | usa | colorado row 83 : rio grande | 3033 | usa | new mexico row 84 : rio grande | 3033 | usa | texas row 85 : san juan | 579 | usa | colorado row 86 : san juan | 579 | usa | new mexico row 87 : san juan | 579 | usa | colorado row 88 : san juan | 579 | usa | utah row 89 : tennessee | 1049 | usa | tennessee row 90 : tennessee | 1049 | usa | alabama row 91 : tennessee | 1049 | usa | tennessee row 92 : tennessee | 1049 | usa | kentucky row 93 : wabash | 764 | usa | ohio row 94 : wabash | 764 | usa | indiana row 95 : wabash | 764 | usa | illinois row 96 : yellowstone | 1080 | usa | wyoming row 97 : yellowstone | 1080 | usa | montana row 98 : yellowstone | 1080 | usa | north dakota row 99 : allegheny | 523 | usa | pennsylvania row 100 : allegheny | 523 | usa | new york row 101 : allegheny | 523 | usa | pennsylvania row 102 : bighorn | 541 | usa | wyoming row 103 : bighorn | 541 | usa | montana row 104 : cheyenne | 848 | usa | wyoming row 105 : cheyenne | 848 | usa | north dakota row 106 : clark fork | 483 | usa | montana row 107 : clark fork | 483 | usa | idaho row 108 : columbia | 1953 | usa | washington row 109 : columbia | 1953 | usa | oregon row 110 : cumberland | 1105 | usa | kentucky row 111 : cumberland | 1105 | usa | tennessee row 112 : cumberland | 1105 | usa | kentucky row 113 : dakota | 1142 | usa | north dakota row 114 : dakota | 1142 | usa | south dakota row 115 : gila | 805 | usa | new mexico row 116 : gila | 805 | usa | arizona row 117 : hudson | 492 | usa | new york row 118 : hudson | 492 | usa | new jersey row 119 : neosho | 740 | usa | kansas row 120 : neosho | 740 | usa | oklahoma row 121 : niobrara | 693 | usa | wyoming row 122 : niobrara | 693 | usa | nebraska row 123 : ouachita | 973 | usa | arkansas row 124 : ouachita | 973 | usa | louisiana row 125 : pearl | 788 | usa | michigan row 126 : pearl | 788 | usa | louisiana row 127 : pecos | 805 | usa | new mexico row 128 : pecos | 805 | usa | texas row 129 : powder | 603 | usa | wyoming row 130 : powder | 603 | usa | montana row 131 : roanoke | 660 | usa | virginia row 132 : roanoke | 660 | usa | north carolina row 133 : rock | 459 | usa | wisconsin row 134 : rock | 459 | usa | illinois row 135 : smoky hill | 869 | usa | colorado row 136 : smoky hill | 869 | usa | kansas row 137 : south platte | 682 | usa | colorado row 138 : south platte | 682 | usa | nebraska row 139 : st. francis | 684 | usa | missouri row 140 : st. francis | 684 | usa | arkansas row 141 : tombigbee | 658 | usa | mississippi row 142 : tombigbee | 658 | usa | alabama row 143 : washita | 805 | usa | texas row 144 : washita | 805 | usa | oklahoma row 145 : wateree catawba | 636 | usa | north carolina row 146 : wateree catawba | 636 | usa | south carolina row 147 : white | 1110 | usa | arkansas row 148 : white | 1110 | usa | missouri row 149 : white | 1110 | usa | arkansas
col : river_name row 1 : snake row 2 : columbia
SELECT state.population FROM state WHERE state.state_name='minnesota';
what is the population of minnesota
{"columns":["population"],"index":[0],"data":[[4076000]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what is the population of minnesota <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : population row 1 : 4076000
SELECT state.density FROM state WHERE state.state_name='wyoming';
what is the population density of wyoming
{"columns":["density"],"index":[0],"data":[[4.8007545318]]}
[ "state" ]
[ "{\"columns\":[\"state_name\",\"population\",\"area\",\"country_name\",\"capital\",\"density\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],\"data\":[[\"alabama\",3894000,51700.0,\"usa\",\"montgomery\",75.3191489362],[\"alaska\",401800,591000.0,\"usa\",\"juneau\",0.6798646362],[\"arizona\",2718000,114000.0,\"usa\",\"phoenix\",23.8421052632],[\"arkansas\",2286000,53200.0,\"usa\",\"little rock\",42.969924812],[\"california\",23670000,158000.0,\"usa\",\"sacramento\",149.8101265823],[\"colorado\",2889000,104000.0,\"usa\",\"denver\",27.7788461538],[\"connecticut\",3107000,5020.0,\"usa\",\"hartford\",618.9243027888],[\"delaware\",594000,2044.0,\"usa\",\"dover\",290.6066536204],[\"district of columbia\",638000,1100.0,\"usa\",\"washington\",580.0],[\"florida\",9746000,68664.0,\"usa\",\"tallahassee\",141.9375509729],[\"georgia\",5463000,58900.0,\"usa\",\"atlanta\",92.7504244482],[\"hawaii\",964000,6471.0,\"usa\",\"honolulu\",148.9723381239],[\"idaho\",944000,83000.0,\"usa\",\"boise\",11.3734939759],[\"illinois\",11400000,56300.0,\"usa\",\"springfield\",202.486678508],[\"indiana\",5490000,36200.0,\"usa\",\"indianapolis\",151.6574585635],[\"iowa\",2913000,56300.0,\"usa\",\"des moines\",51.7406749556],[\"kansas\",2364000,82300.0,\"usa\",\"topeka\",28.7241798299],[\"kentucky\",2364000,82300.0,\"usa\",\"frankfort\",28.7241798299],[\"louisiana\",4206000,47700.0,\"usa\",\"baton rouge\",88.1761006289],[\"maine\",1125000,33265.0,\"usa\",\"augusta\",33.8193296257],[\"maryland\",4217000,10460.0,\"usa\",\"annapolis\",403.154875717],[\"massachusetts\",5737000,8284.0,\"usa\",\"boston\",692.5398358281],[\"michigan\",9262000,58500.0,\"usa\",\"lansing\",158.3247863248],[\"minnesota\",4076000,84400.0,\"usa\",\"st. paul\",48.2938388626],[\"mississippi\",2520000,47700.0,\"usa\",\"jackson\",52.8301886792],[\"missouri\",4916000,69700.0,\"usa\",\"jefferson city\",70.5308464849],[\"montana\",786700,147000.0,\"usa\",\"helena\",5.3517006803],[\"nebraska\",1569000,77300.0,\"usa\",\"lincoln\",20.297542044],[\"nevada\",800500,110500.0,\"usa\",\"carson city\",7.2443438914],[\"new hampshire\",920600,9279.0,\"usa\",\"concord\",99.2132772928],[\"new jersey\",7365000,7787.0,\"usa\",\"trenton\",945.8071144215],[\"new mexico\",1303000,121600.0,\"usa\",\"santa fe\",10.7154605263],[\"new york\",17558000,49100.0,\"usa\",\"albany\",357.5967413442],[\"north carolina\",5882000,52670.0,\"usa\",\"raleigh\",111.6764761724],[\"north dakota\",652700,70700.0,\"usa\",\"bismarck\",9.2319660537],[\"ohio\",10800000,41300.0,\"usa\",\"columbus\",261.5012106538],[\"oklahoma\",3025000,69950.0,\"usa\",\"oklahoma city\",43.2451751251],[\"oregon\",2633000,97073.0,\"usa\",\"salem\",27.1239170521],[\"pennsylvania\",11863000,45308.0,\"usa\",\"harrisburg\",261.8301403726],[\"rhode island\",947200,1212.0,\"usa\",\"providence\",781.5181518152],[\"south carolina\",3121800,31113.0,\"usa\",\"columbia\",100.3374795102],[\"south dakota\",690767,77116.0,\"usa\",\"pierre\",8.957505576],[\"tennessee\",4591000,42140.0,\"usa\",\"nashville\",108.9463692454],[\"texas\",14229000,266807.0,\"usa\",\"austin\",53.3306847272],[\"utah\",1461000,84900.0,\"usa\",\"salt lake city\",17.2084805654],[\"vermont\",511500,9614.0,\"usa\",\"montpelier\",53.2036613272],[\"virginia\",5346800,40760.0,\"usa\",\"richmond\",131.1776251227],[\"washington\",4113200,68139.0,\"usa\",\"olympia\",60.3648424544],[\"west virginia\",1950000,24200.0,\"usa\",\"charleston\",80.5785123967],[\"wisconsin\",4700000,56153.0,\"usa\",\"madison\",83.6998913682],[\"wyoming\",469557,97809.0,\"usa\",\"cheyenne\",4.8007545318]]}" ]
what is the population density of wyoming <table_name> : state col : state_name | population | area | country_name | capital | density row 1 : alabama | 3894000 | 51700 | usa | montgomery | 75.3191489362 row 2 : alaska | 401800 | 591000 | usa | juneau | 0.6798646362 row 3 : arizona | 2718000 | 114000 | usa | phoenix | 23.8421052632 row 4 : arkansas | 2286000 | 53200 | usa | little rock | 42.969924812 row 5 : california | 23670000 | 158000 | usa | sacramento | 149.8101265823 row 6 : colorado | 2889000 | 104000 | usa | denver | 27.7788461538 row 7 : connecticut | 3107000 | 5020 | usa | hartford | 618.9243027888 row 8 : delaware | 594000 | 2044 | usa | dover | 290.6066536204 row 9 : district of columbia | 638000 | 1100 | usa | washington | 580.0 row 10 : florida | 9746000 | 68664 | usa | tallahassee | 141.9375509729 row 11 : georgia | 5463000 | 58900 | usa | atlanta | 92.7504244482 row 12 : hawaii | 964000 | 6471 | usa | honolulu | 148.9723381239 row 13 : idaho | 944000 | 83000 | usa | boise | 11.3734939759 row 14 : illinois | 11400000 | 56300 | usa | springfield | 202.486678508 row 15 : indiana | 5490000 | 36200 | usa | indianapolis | 151.6574585635 row 16 : iowa | 2913000 | 56300 | usa | des moines | 51.7406749556 row 17 : kansas | 2364000 | 82300 | usa | topeka | 28.7241798299 row 18 : kentucky | 2364000 | 82300 | usa | frankfort | 28.7241798299 row 19 : louisiana | 4206000 | 47700 | usa | baton rouge | 88.1761006289 row 20 : maine | 1125000 | 33265 | usa | augusta | 33.8193296257 row 21 : maryland | 4217000 | 10460 | usa | annapolis | 403.154875717 row 22 : massachusetts | 5737000 | 8284 | usa | boston | 692.5398358281 row 23 : michigan | 9262000 | 58500 | usa | lansing | 158.3247863248 row 24 : minnesota | 4076000 | 84400 | usa | st. paul | 48.2938388626 row 25 : mississippi | 2520000 | 47700 | usa | jackson | 52.8301886792 row 26 : missouri | 4916000 | 69700 | usa | jefferson city | 70.5308464849 row 27 : montana | 786700 | 147000 | usa | helena | 5.3517006803000005 row 28 : nebraska | 1569000 | 77300 | usa | lincoln | 20.297542044 row 29 : nevada | 800500 | 110500 | usa | carson city | 7.2443438914 row 30 : new hampshire | 920600 | 9279 | usa | concord | 99.2132772928 row 31 : new jersey | 7365000 | 7787 | usa | trenton | 945.8071144215 row 32 : new mexico | 1303000 | 121600 | usa | santa fe | 10.7154605263 row 33 : new york | 17558000 | 49100 | usa | albany | 357.5967413442 row 34 : north carolina | 5882000 | 52670 | usa | raleigh | 111.6764761724 row 35 : north dakota | 652700 | 70700 | usa | bismarck | 9.2319660537 row 36 : ohio | 10800000 | 41300 | usa | columbus | 261.5012106538 row 37 : oklahoma | 3025000 | 69950 | usa | oklahoma city | 43.2451751251 row 38 : oregon | 2633000 | 97073 | usa | salem | 27.1239170521 row 39 : pennsylvania | 11863000 | 45308 | usa | harrisburg | 261.8301403726 row 40 : rhode island | 947200 | 1212 | usa | providence | 781.5181518152 row 41 : south carolina | 3121800 | 31113 | usa | columbia | 100.3374795102 row 42 : south dakota | 690767 | 77116 | usa | pierre | 8.957505576 row 43 : tennessee | 4591000 | 42140 | usa | nashville | 108.9463692454 row 44 : texas | 14229000 | 266807 | usa | austin | 53.3306847272 row 45 : utah | 1461000 | 84900 | usa | salt lake city | 17.2084805654 row 46 : vermont | 511500 | 9614 | usa | montpelier | 53.2036613272 row 47 : virginia | 5346800 | 40760 | usa | richmond | 131.1776251227 row 48 : washington | 4113200 | 68139 | usa | olympia | 60.3648424544 row 49 : west virginia | 1950000 | 24200 | usa | charleston | 80.5785123967 row 50 : wisconsin | 4700000 | 56153 | usa | madison | 83.6998913682 row 51 : wyoming | 469557 | 97809 | usa | cheyenne | 4.8007545318
col : density row 1 : 4.8007545318