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dd59136a36bba0d775fc9f5d2841df22
how many passing yards did cook get in 2013?
154_totto18563-2
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[ "2755.0" ]
e1cfac1a4630ad914dbccf37dbc81a61
how many league games did simon richman play for altrincham in 2016-17?
154_totto18568-3
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[ "33.0" ]
9de51ccc94bf084960f976a65a2b418d
in 2013,how many percentage point has seniors 65 years and older accounted for the population aged 15 and older?
1554
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[ "18" ]
f4f97303534a908931edad20091e7c2f
how many of people read about news and current affairs in newspapers?
1554
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[ "13834.0" ]
ab2bb279500247ed64a202cce692e3fd
how many percentage point of people who aged 65 and older read about news and current affairs in newspapers?
1554
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[ "25" ]
49c99ad0da5cc5ad9d89d7611e0f0556
who were more likely to stay informed by reading magazines, man or woman?
1555
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[ "women" ]
68c89d8be4a113071c359149b6d5deb0
who were more likely to watch television, man or woman?
1555
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[ "women" ]
1bf55acf2466835e63384a671829db33
who were more likely to used the internet, man or woman?
1555
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[ "men" ]
8235b22baa6f2a1f95f13ef46f03eff9
how many percentage point of university graduates followed news and current affairs on the internet?
1555
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[ "76.0" ]
cf9f5f91a0d193ce8afec9a53aed8242
how many percentage point of people whose highest level of education is a high school diploma followed news and current affairs on the internet?
1555
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[ "43.0" ]
999a60fb5d83927309f9003b194b5719
how many percentage point of people whose highest level of education is a high school diploma watched television to stay informed?
1555
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[ "82.0" ]
58284cc5fd57fac912adfcdeba14afac
how many percentage point of university graduates watched television to stay informed?
1555
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[ "71.0" ]
9be4aae23c876547d1606d689e60576d
how many percentage point of people in alberta followed news and current affairs on the internet?
1555
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[ "63.0" ]
7b17f4dbe54195b23fc375d017859afe
how many percentage point of people in british columbia followed news and current affairs on the internet?
1555
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[ "61.0" ]
5c94b826a2c7582ba04ec8482e374bcb
how many percentage point of people in ontario followed news and current affairs on the internet?
1555
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[ "61.0" ]
b10dab533669258fd1c539d4920637f6
how many percentage point of people in quebec used the internet?
1555
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[ "51.0" ]
0f19cb0e35511790abedfa22c2a39548
how many percentage point of people in prince edward island used radio?
1555
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[ "57.0" ]
e966481feeaf49d4e5404a9b51086b0a
how many percentage point of people in newfoundland and labrador used radio?
1555
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[ "55.0" ]
ba710a40714ccf087c88fe5f6fe457ed
how many percentage point of people in nova scotia used radio?
1555
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[ "55.0" ]
59c4175da6cb4a96a3aeff4d3de17a12
how many percentage point of people in british columbia used radio?
1555
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[ "43.0" ]
f243b01a41e3d0d54a7dab3fb8fe2d14
what was the proportion of people in quebec watched news and current affairs on television?
1555
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[ "82.0" ]
c17523099333993811331a363833bfbf
what was the proportion of people in british columbia watched news and current affairs on television?
1555
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[ "70.0" ]
eb2e9ca2e148479def40e3c6ed799bda
what was the proportion of people in alberta watched news and current affairs on television?
1555
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[ "69.0" ]
58338d04d4365608ca99bb6a4ffbab8a
what was the per 1,000 numbers for biennial screening at ages 50 to 69?
1558
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[ "144.0" ]
0f49b081aa282c02fc6e4d0031af6593
what was the per 1,000 numbers for triennial screening at ages 50 to 69?
1558
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[ "141.0" ]
da1d76834fa4d1c650354feadf35f3e2
what was the per 1,000 numbers for annual screening at ages 40 to 74?
1558
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[ "308.0" ]
0e1740d912658357313b7f5646fd7dcf
in 2010,what was the proportion of tax filers who considered to be delayed tax filers?
1559
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[ "3.5" ]
e287f32872421ce801b4c0bde9ec1e84
in 1990,what was the proportion of tax filers who considered to be delayed tax filers?
1559
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[ "4.8" ]
b9cec7011f51bc7b5b1bbfb28f3ce0db
which year has the highest delayed tax filers rate?
1559
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[ "1990.0" ]
58970cb680208d33270cb34ce7312a03
how many thousand dollars did the nation's 42 federally funded research and development centers (ffrdcs) spend on r&d in fy 2016?
155_77_tab1
{ "cells": [ [ "fiscal year", "all r&d expenditures", "federal government", "state and local government", "business", "nonprofit organizations", "all other sources" ], [ "2010", "18880609", "18453552", "52871", "168561", "23665", "181960" ], [ "2011", "18671245", "18276088", "26744", "190111", "38878", "139424" ], [ "2012", "18280943", "17875012", "39428", "184434", "45926", "136143" ], [ "2013", "17667184", "17284513", "50449", "186911", "39390", "105921" ], [ "2014", "17718556", "17331396", "28337", "220735", "37182", "100906" ], [ "2015", "18458257", "18097189", "18427", "208780", "27984", "105877" ], [ "2016", "19219702", "18855593", "21556", "192239", "40195", "110119" ] ], "top_header_rows_num": 2, "left_header_columns_num": 1 }
[ "19219702.0" ]
c5776c55b3815e48ab277c22a4d89c13
the nation's 42 federally funded research and development centers (ffrdcs) spent $19.2 billion on r&d in fy 2016, what was an annual increase of just over 4% in current dollars for the second year in a row?
155_77_tab1
{ "cells": [ [ "fiscal year", "all r&d expenditures", "federal government", "state and local government", "business", "nonprofit organizations", "all other sources" ], [ "2010", "18880609", "18453552", "52871", "168561", "23665", "181960" ], [ "2011", "18671245", "18276088", "26744", "190111", "38878", "139424" ], [ "2012", "18280943", "17875012", "39428", "184434", "45926", "136143" ], [ "2013", "17667184", "17284513", "50449", "186911", "39390", "105921" ], [ "2014", "17718556", "17331396", "28337", "220735", "37182", "100906" ], [ "2015", "18458257", "18097189", "18427", "208780", "27984", "105877" ], [ "2016", "19219702", "18855593", "21556", "192239", "40195", "110119" ] ], "top_header_rows_num": 2, "left_header_columns_num": 1 }
[ "0.041252" ]
350d89d649d4e00491a0e2cba15434fb
how many rushing yards did jackson get in 2007?
155_totto18587-0
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[ "300.0" ]
d7be5b920228f43bdc86567a11cbf611
how many receiving yards did martavis bryant get in 2014?
155_totto18596-1
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[ "549.0" ]
5a6a7e48b272b63662c6c164eb46de0e
what was the peak chart position on the billboard 200 chart of collider?
155_totto18606-2
{ "cells": [ [ "year", "album details", "peak chart positions", "", "", "" ], [ "", "", "us", "us rock", "us indie", "us heat" ], [ "2005", "chroma release date: september 20, 2005 label: the militia group format: cd, dl, lp", "140", "-", "38", "2" ], [ "2007", "cartel release date: august 21, 2007 label: epic records format: cd, dl, lp", "20", "5", "-", "-" ], [ "2009", "cycles release date: october 20, 2009 label: wind-up records format: cd, dl", "59", "25", "-", "-" ], [ "2013", "collider release date: march 26, 2013 label: self-released format: cd, dl, lp", "141", "40", "28", "-" ], [ "\"-\" denotes releases that did not chart", "", "", "", "", "" ] ], "top_header_rows_num": 3, "left_header_columns_num": 1 }
[ "141.0" ]
46413ec36a7159e482950d6fff2e3919
which club did dean whitehead play for in 2004-05?
155_totto18640-4
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[ "sunderland" ]
e8d9b7666a005d0ce9c845caac2f8189
who were more likely to be younger,delayed tax filers or initial tax filers?
1560
{ "cells": [ [ "", "initial tax filers", "delayed tax filers" ], [ "", "years", "" ], [ "demographic characteristics", "", "" ], [ "average age", "45.7", "40.1" ], [ "", "percent", "" ], [ "sex", "", "" ], [ "female", "50.8", "40.3" ], [ "male", "49.2", "59.7" ], [ "marital status", "", "" ], [ "single", "27.8", "45.0" ], [ "married or common-law", "56.2", "36.9" ], [ "other", "16.0", "18.1" ], [ "income sources", "", "" ], [ "employment", "66.8", "67.7" ], [ "business self-employment", "7.2", "13.4" ], [ "employment insurance", "11.8", "11.0" ], [ "old age security", "16.9", "4.7" ], [ "total", "98.3", "94.1" ], [ "tax credits and allowances", "", "" ], [ "disability deduction", "2.1", "1.3" ], [ "tuition credits", "8.7", "7.5" ], [ "", "2010 constant dollars", "" ], [ "average conditional income", "", "" ], [ "employment", "38,000", "32,350" ], [ "business self-employment", "11,500", "12,450" ], [ "employment insurance", "6,000", "6,500" ], [ "old age security", "5,650", "5,400" ], [ "total", "38,950", "32,250" ] ], "top_header_rows_num": 2, "left_header_columns_num": 1 }
[ "delayed tax filers" ]
c3fb87c7d80bf5922990d45a319163b0
who were more likely to be male,delayed tax filers or initial tax filers?
1560
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[ "delayed tax filers" ]
1486d215f6a8bb3939f225f6c2965085
who was more likely to be married or in common-law relationships, delayed tax filers or initial tax filers?
1560
{ "cells": [ [ "", "initial tax filers", "delayed tax filers" ], [ "", "years", "" ], [ "demographic characteristics", "", "" ], [ "average age", "45.7", "40.1" ], [ "", "percent", "" ], [ "sex", "", "" ], [ "female", "50.8", "40.3" ], [ "male", "49.2", "59.7" ], [ "marital status", "", "" ], [ "single", "27.8", "45.0" ], [ "married or common-law", "56.2", "36.9" ], [ "other", "16.0", "18.1" ], [ "income sources", "", "" ], [ "employment", "66.8", "67.7" ], [ "business self-employment", "7.2", "13.4" ], [ "employment insurance", "11.8", "11.0" ], [ "old age security", "16.9", "4.7" ], [ "total", "98.3", "94.1" ], [ "tax credits and allowances", "", "" ], [ "disability deduction", "2.1", "1.3" ], [ "tuition credits", "8.7", "7.5" ], [ "", "2010 constant dollars", "" ], [ "average conditional income", "", "" ], [ "employment", "38,000", "32,350" ], [ "business self-employment", "11,500", "12,450" ], [ "employment insurance", "6,000", "6,500" ], [ "old age security", "5,650", "5,400" ], [ "total", "38,950", "32,250" ] ], "top_header_rows_num": 2, "left_header_columns_num": 1 }
[ "initial tax filers" ]
f2e524211bfa2a825d82b56533fefe9d
who were more likely to have oas income,delayed tax filers or initial tax filers?
1560
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[ "delayed tax filers" ]
396ca897c3b5ab56e114604cb6723fad
who were more likely to have business self-employment income, delayed tax filers or initial tax filers?
1560
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[ "delayed tax filers" ]
c3f061bf70b59e413e5f494957bb9541
who were more likely to earn more in employment earnings, delayed tax filers or initial tax filers?
1560
{ "cells": [ [ "", "initial tax filers", "delayed tax filers" ], [ "", "years", "" ], [ "demographic characteristics", "", "" ], [ "average age", "45.7", "40.1" ], [ "", "percent", "" ], [ "sex", "", "" ], [ "female", "50.8", "40.3" ], [ "male", "49.2", "59.7" ], [ "marital status", "", "" ], [ "single", "27.8", "45.0" ], [ "married or common-law", "56.2", "36.9" ], [ "other", "16.0", "18.1" ], [ "income sources", "", "" ], [ "employment", "66.8", "67.7" ], [ "business self-employment", "7.2", "13.4" ], [ "employment insurance", "11.8", "11.0" ], [ "old age security", "16.9", "4.7" ], [ "total", "98.3", "94.1" ], [ "tax credits and allowances", "", "" ], [ "disability deduction", "2.1", "1.3" ], [ "tuition credits", "8.7", "7.5" ], [ "", "2010 constant dollars", "" ], [ "average conditional income", "", "" ], [ "employment", "38,000", "32,350" ], [ "business self-employment", "11,500", "12,450" ], [ "employment insurance", "6,000", "6,500" ], [ "old age security", "5,650", "5,400" ], [ "total", "38,950", "32,250" ] ], "top_header_rows_num": 2, "left_header_columns_num": 1 }
[ "initial tax filers" ]
43eecaaed8854cf034a0015804d9d4fa
what was the total employment earnings among initial tax filers in 1990 based on the t1 pmf data?
1562
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[ "468.3" ]
b02a548144639ab8c6fc8557aeeb6a81
what was the total employment earnings among initial tax filers in 2010 based on the t1 pmf data?
1562
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[ "681.2" ]
6ef4e65d982b10669a49a6f85f2ba1ce
what was the total employment earnings among initial tax filers in 1990 based on the t1 hpmf data?
1562
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57b1908a0dc53a719bc0a80fc09e2468
what was the total employment earnings among initial tax filers in 2010 based on the t1 hpmf data?
1562
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[ "681.7" ]
4e235929f68cdc2b0db2cccd4e8e2e70
in 1990, what was the estimated sum of all ei payments to initial tax filers in the t1 hpmf?
1562
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[ "18.3" ]
730483fe10b41c8f3a3dd0e14184ff15
in 1990, what was the estimated sum of all ei payments to initial tax filers in the t1 pmf?
1562
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[ "18.3" ]
d3486ed88e72c730a83bfb989ceb91e0
what was the percentage of the aggregate values of ei incomes of initial tax filers in the t1 hpmf captured by t1 pmf?
1562
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[ "100.0" ]
aef7ac61da5c23865a7a11aba1249259
what was the percentage of the aggregate values of oas incomes of initial tax filers in the t1 hpmf captured by t1 pmf?
1562
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[ "100.0" ]
0a0a77803bde9d2687aa3f6680fffb30
what was the percentage of business self-employment income of initial tax filers in the t1 hpmf captured by t1 pmf in 1995?
1562
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[ "96.8" ]
22bb0924230da0d0935ef53b5af6dfb8
what was the percentage of business self-employment income of initial tax filers in the t1 hpmf captured by t1 pmf in 2010?
1562
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[ "99.0" ]
ddafec78ef6df54096f79a16a6406203
in 1990, what was the total aggregate employment earnings among delayed tax filers?
1562
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[ "20.5" ]
f68494726d4e14fe2ac2991ea7f7fa8c
in 1990,what was the percentage of employment earnings of total employment earnings in the t1 hpmf captured by t1 pmf?
1562
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[ "95.7" ]
5740c1c3577a3ad452d94dafe022c46a
how many percentage point of the t1 pmf had captured of all business self-employment income in the t1 hpmf in 2000?
1562
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[ "87.9" ]
e5d199caf95db1d7a2b9b5d4f2ac899b
how many percentage point of the t1 pmf had captured of all business self-employment income in the t1 hpmf in 2010?
1562
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[ "91.9" ]
e4701761bc20a0046b30d71dd715f570
who were more likely to have business self-employment income, initial tax filers or delayed tax filers?
1565
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[ "delayed tax filers" ]
15f17434d026c666d7ae7dce7b0635c3
who were more likely to have commission income, initial tax filers or delayed tax filers?
1565
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[ "delayed tax filers" ]
af954121f61282c82ac7d0617fdef14a
who were more likely to have farming income, initial tax filers or delayed tax filers?
1565
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[ "initial tax filers" ]
d3fc88230b07c2cc9bea42aa0cbc4a11
what was the margin between initial and delayed tax filers for fishing income?
1565
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[ "0" ]
7e276230bf47e76b91a6410a190cc4b6
who were more likely to earn more for business self-employment income, initial tax filers or delayed tax filers?
1565
{ "cells": [ [ "", "initial tax filers", "delayed tax filers" ], [ "", "percent", "" ], [ "income sources", "", "" ], [ "business self-employment", "7.2", "13.4" ], [ "commission", "0.7", "1.3" ], [ "farming", "1.9", "1.0" ], [ "fishing", "0.2", "0.2" ], [ "professional", "1.4", "1.7" ], [ "rental", "5.4", "4.5" ], [ "", "2010 constant dollars", "" ], [ "average conditional income sources", "", "" ], [ "business self-employment", "11,500", "12,450" ], [ "commission", "18,150", "17,200" ], [ "farming", "4,700", "-2,150" ], [ "fishing", "20,400", "17,600" ], [ "professional", "62,500", "35,200" ], [ "rental", "1,900", "-1,150" ] ], "top_header_rows_num": 2, "left_header_columns_num": 1 }
[ "delayed tax filers" ]
1806317870c68a6e1e3592cab360c5c7
who were more likely to earn more for professional income, initial tax filers or delayed tax filers?
1565
{ "cells": [ [ "", "initial tax filers", "delayed tax filers" ], [ "", "percent", "" ], [ "income sources", "", "" ], [ "business self-employment", "7.2", "13.4" ], [ "commission", "0.7", "1.3" ], [ "farming", "1.9", "1.0" ], [ "fishing", "0.2", "0.2" ], [ "professional", "1.4", "1.7" ], [ "rental", "5.4", "4.5" ], [ "", "2010 constant dollars", "" ], [ "average conditional income sources", "", "" ], [ "business self-employment", "11,500", "12,450" ], [ "commission", "18,150", "17,200" ], [ "farming", "4,700", "-2,150" ], [ "fishing", "20,400", "17,600" ], [ "professional", "62,500", "35,200" ], [ "rental", "1,900", "-1,150" ] ], "top_header_rows_num": 2, "left_header_columns_num": 1 }
[ "initial tax filers" ]
408dd813b408c49f3699afd308e58f34
what was the proportion of individuals with commission income delayed filing over the years considered?
1566
{ "cells": [ [ "income source", "probability of delayed tax filing conditional on having income", "percentage of income in t1 hpmf captured by t1 pmf", "" ], [ "", "", "for initial tax filers", "for all tax filers" ], [ "", "percent", "", "" ], [ "business self-employment", "7.6", "97.6", "89.6" ], [ "commission", "8.1", "99.4", "91.8" ], [ "farming", "2.3", "99.2", "100.3" ], [ "fishing", "4.2", "99.5", "95.9" ], [ "professional", "5.1", "99.8", "96.8" ], [ "rental", "3.5", "97.1", "99.2" ] ], "top_header_rows_num": 3, "left_header_columns_num": 1 }
[ "8.1" ]
31672f5f1e710e8bcdf61f8d3fe48e7c
under-represented in the t1 pmf, what was the proportion of individuals with business self-employment considered to be initial tax filers?
1566
{ "cells": [ [ "income source", "probability of delayed tax filing conditional on having income", "percentage of income in t1 hpmf captured by t1 pmf", "" ], [ "", "", "for initial tax filers", "for all tax filers" ], [ "", "percent", "", "" ], [ "business self-employment", "7.6", "97.6", "89.6" ], [ "commission", "8.1", "99.4", "91.8" ], [ "farming", "2.3", "99.2", "100.3" ], [ "fishing", "4.2", "99.5", "95.9" ], [ "professional", "5.1", "99.8", "96.8" ], [ "rental", "3.5", "97.1", "99.2" ] ], "top_header_rows_num": 3, "left_header_columns_num": 1 }
[ "97.6" ]
d87c83b55b73b3907379afc991aaeb8a
under-represented in the t1 pmf, what was the proportion of individuals with rental incomes considered to be initial tax filers?
1566
{ "cells": [ [ "income source", "probability of delayed tax filing conditional on having income", "percentage of income in t1 hpmf captured by t1 pmf", "" ], [ "", "", "for initial tax filers", "for all tax filers" ], [ "", "percent", "", "" ], [ "business self-employment", "7.6", "97.6", "89.6" ], [ "commission", "8.1", "99.4", "91.8" ], [ "farming", "2.3", "99.2", "100.3" ], [ "fishing", "4.2", "99.5", "95.9" ], [ "professional", "5.1", "99.8", "96.8" ], [ "rental", "3.5", "97.1", "99.2" ] ], "top_header_rows_num": 3, "left_header_columns_num": 1 }
[ "97.1" ]
e08ca201c2f107685f4e33998ef0c0d2
what was the difference between the 99.9th percentiles of total income in 2010?
1568
{ "cells": [ [ "type of income and percentile", "1990", "1995", "2000", "2005", "2010" ], [ "", "2010 constant dollars", "", "", "", "" ], [ "panel a - employment earnings", "", "", "", "", "" ], [ "95th percentile", "-50", "-250", "-100", "-100", "-50" ], [ "99th percentile", "0", "-450", "-400", "-500", "-200" ], [ "99.9th percentile", "-300", "-4,550", "-6,900", "-6,500", "-2,550" ], [ "panel b - business self-employment income", "", "", "", "", "" ], [ "95th percentile", "0", "50", "850", "1,050", "700" ], [ "99th percentile", "850", "750", "1,450", "1,650", "1,050" ], [ "99.9th percentile", "1,950", "1,700", "2,450", "3,000", "1,600" ], [ "panel c - total income", "", "", "", "", "" ], [ "95th percentile", "0", "-250", "-100", "-100", "-200" ], [ "99th percentile", "400", "-700", "-1,200", "-1,150", "-1,250" ], [ "99.9th percentile", "7,500", "-950", "-5,750", "-7,000", "-7,850" ] ], "top_header_rows_num": 2, "left_header_columns_num": 1 }
[ "7850" ]
c73b7c0b2f4a75e836322b818471da86
how many rushing yards did mendenhall get in 2009?
156_totto18652-1
{ "cells": [ [ "team", "season", "games", "rushing", "", "", "", "", "receiving", "", "", "", "" ], [ "", "", "", "att", "yards", "avg", "td", "long", "rec", "yards", "avg", "td", "long" ], [ "pittsburgh steelers", "2008", "4", "19", "58", "3.1", "0", "12", "2", "17", "8.5", "0", "11" ], [ "pittsburgh steelers", "2009", "16", "242", "1,108", "4.6", "7", "60", "25", "261", "10.4", "1", "26" ], [ "pittsburgh steelers", "2010", "16", "324", "1,273", "3.9", "13", "50t", "23", "167", "7.3", "0", "24" ], [ "pittsburgh steelers", "2011", "15", "228", "928", "4.1", "9", "68", "18", "154", "8.6", "0", "35" ], [ "pittsburgh steelers", "2012", "6", "51", "182", "3.6", "0", "20", "9", "62", "6.9", "1", "15" ], [ "arizona cardinals", "2013", "15", "217", "687", "3.2", "8", "28", "18", "134", "7.4", "0", "24" ], [ "nfl career totals", "", "72", "1081", "4236", "3.9", "37", "68", "95", "795", "8.4", "2", "35" ] ], "top_header_rows_num": 3, "left_header_columns_num": 3 }
[ "1108.0" ]
2b6acfd120969b5a213440a5f0653b20
when did the single kiss me release?
156_totto18687-3
{ "cells": [ [ "year", "title", "peak chart positions", "", "", "", "", "", "", "", "album" ], [ "", "", "aus", "ned", "bel", "aut", "fra", "uk", "us", "us dance", "" ], [ "1989", "say goodbye", "6", "-", "-", "-", "-", "-", "-", "-", "spoken words / indecent obsession" ], [ "", "tell me something", "17", "-", "-", "-", "-", "91", "31", "39", "" ], [ "1990", "come back to me", "40", "-", "-", "-", "-", "-", "-", "-", "" ], [ "", "never gonna stop", "72", "-", "-", "-", "-", "-", "-", "-", "" ], [ "1992", "kiss me", "27", "22", "-", "11", "-", "-", "-", "-", "indio" ], [ "", "indio", "41", "-", "-", "-", "-", "-", "-", "-", "" ], [ "", "whispers in the dark", "-", "-", "-", "-", "7", "-", "-", "-", "" ], [ "", "rebel with a cause", "122", "-", "-", "-", "-", "-", "-", "-", "" ], [ "1993", "gentleman style", "118", "-", "-", "-", "-", "-", "-", "-", "" ], [ "1994", "fixing a broken heart", "-", "-", "21", "-", "-", "-", "-", "-", "relativity" ], [ "", "fall from grace", "-", "-", "-", "-", "-", "-", "-", "-", "" ], [ "1995", "lady rain", "-", "-", "-", "-", "-", "-", "-", "-", "" ], [ "", "one bad dream", "-", "-", "-", "-", "-", "-", "-", "-", "" ], [ "\"-\" denotes releases that did not chart or were not released", "", "", "", "", "", "", "", "", "", "" ] ], "top_header_rows_num": 3, "left_header_columns_num": 1 }
[ "1992.0" ]
b45d69b6fe03584d18726176399d22d7
what was the percentage of disability among immigrant women aged 15 or older?
1570
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[ "15.9" ]
756c4299f66e5faa6c0cad525d7ed00c
among women aged 15 to 24, who were more likely to reported having disabilities,non-immigrant women or immigrant women?
1570
{ "cells": [ [ "age group", "women", "", "men", "" ], [ "", "non-immigrant", "immigrant", "non-immigrant", "immigrant" ], [ "", "percent", "", "", "" ], [ "15 or older", "14.6", "15.9", "13.0", "11.5" ], [ "15 to 24", "4.7", "2.6", "4.8", "3.1" ], [ "25 to 54", "10.5", "6.9", "9.1", "5.7" ], [ "55 to 64", "20.5", "21.8", "20.8", "14.4" ], [ "65 or older", "32.9", "40.8", "31.0", "30.2" ] ], "top_header_rows_num": 3, "left_header_columns_num": 1 }
[ "non-immigrant" ]
f920420a957af53e20bfbda3f55ad2f9
among women aged 25 to 54, who were more likely to reported having disabilities,non-immigrant women or immigrant women?
1570
{ "cells": [ [ "age group", "women", "", "men", "" ], [ "", "non-immigrant", "immigrant", "non-immigrant", "immigrant" ], [ "", "percent", "", "", "" ], [ "15 or older", "14.6", "15.9", "13.0", "11.5" ], [ "15 to 24", "4.7", "2.6", "4.8", "3.1" ], [ "25 to 54", "10.5", "6.9", "9.1", "5.7" ], [ "55 to 64", "20.5", "21.8", "20.8", "14.4" ], [ "65 or older", "32.9", "40.8", "31.0", "30.2" ] ], "top_header_rows_num": 3, "left_header_columns_num": 1 }
[ "non-immigrant" ]
a868ade08122ff5930413ffc6d2661f0
among women aged 65 or older, who were more likely to reported having disabilities,non-immigrant women or immigrant women?
1570
{ "cells": [ [ "age group", "women", "", "men", "" ], [ "", "non-immigrant", "immigrant", "non-immigrant", "immigrant" ], [ "", "percent", "", "", "" ], [ "15 or older", "14.6", "15.9", "13.0", "11.5" ], [ "15 to 24", "4.7", "2.6", "4.8", "3.1" ], [ "25 to 54", "10.5", "6.9", "9.1", "5.7" ], [ "55 to 64", "20.5", "21.8", "20.8", "14.4" ], [ "65 or older", "32.9", "40.8", "31.0", "30.2" ] ], "top_header_rows_num": 3, "left_header_columns_num": 1 }
[ "immigrant" ]
2bfbec54c9b149d54c738b7f40eb1b09
among immigrants aged 15 or older, who were more likely to reported having disabilities,immigrant women or immigrant men?
1570
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[ "immigrant" ]
a561571af4ed2211869496fc9965da2b
among immigrants aged 55 to 64, who were more likely to reported having disabilities,immigrant women or immigrant men?
1570
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[ "immigrant" ]
f61356ff174cf91ec7a80f34a0bd5b17
among immigrants aged 65 or older, who were more likely to reported having disabilities,immigrant women or immigrant men?
1570
{ "cells": [ [ "age group", "women", "", "men", "" ], [ "", "non-immigrant", "immigrant", "non-immigrant", "immigrant" ], [ "", "percent", "", "", "" ], [ "15 or older", "14.6", "15.9", "13.0", "11.5" ], [ "15 to 24", "4.7", "2.6", "4.8", "3.1" ], [ "25 to 54", "10.5", "6.9", "9.1", "5.7" ], [ "55 to 64", "20.5", "21.8", "20.8", "14.4" ], [ "65 or older", "32.9", "40.8", "31.0", "30.2" ] ], "top_header_rows_num": 3, "left_header_columns_num": 1 }
[ "immigrant" ]
e1a1e2cb2216b0fd75a1d38b828ca85c
among immigrants aged 15 or older, who were more likely to reported having disabilities,non-immigrant women or non-immigrant men?
1570
{ "cells": [ [ "age group", "women", "", "men", "" ], [ "", "non-immigrant", "immigrant", "non-immigrant", "immigrant" ], [ "", "percent", "", "", "" ], [ "15 or older", "14.6", "15.9", "13.0", "11.5" ], [ "15 to 24", "4.7", "2.6", "4.8", "3.1" ], [ "25 to 54", "10.5", "6.9", "9.1", "5.7" ], [ "55 to 64", "20.5", "21.8", "20.8", "14.4" ], [ "65 or older", "32.9", "40.8", "31.0", "30.2" ] ], "top_header_rows_num": 3, "left_header_columns_num": 1 }
[ "non-immigrant" ]
cf9877c25ce2b169123beee14ddf5404
among immigrants aged 25 to 54, who were more likely to reported having disabilities,non-immigrant women or non-immigrant men?
1570
{ "cells": [ [ "age group", "women", "", "men", "" ], [ "", "non-immigrant", "immigrant", "non-immigrant", "immigrant" ], [ "", "percent", "", "", "" ], [ "15 or older", "14.6", "15.9", "13.0", "11.5" ], [ "15 to 24", "4.7", "2.6", "4.8", "3.1" ], [ "25 to 54", "10.5", "6.9", "9.1", "5.7" ], [ "55 to 64", "20.5", "21.8", "20.8", "14.4" ], [ "65 or older", "32.9", "40.8", "31.0", "30.2" ] ], "top_header_rows_num": 3, "left_header_columns_num": 1 }
[ "non-immigrant" ]
3d126b9ad990967deb107b606baff774
among minority women aged 15 or older, who were less likely to have disability, visible minority women or women who did not belong to a visible minority group?
1571
{ "cells": [ [ "age group", "women", "", "men", "" ], [ "", "not a visible minority", "visible minority", "not a visible minority", "visible minority" ], [ "", "percent", "", "", "" ], [ "15 or older", "15.7", "11.3", "13.4", "8.6" ], [ "15 to 24", "4.6", "3.2", "4.5", "4.3" ], [ "25 to 54", "10.3", "6.8", "8.9", "5.6" ], [ "55 to 64", "20.8", "23.5", "19.3", "17.9" ], [ "65 or older", "34.4", "41.9", "30.8", "30.4" ] ], "top_header_rows_num": 3, "left_header_columns_num": 1 }
[ "visible minority" ]
e4a141166066532eee3abad65b4f9b1d
among minority men aged 15 or older, who were less likely to have disability, visible minority men or men who did not belong to a visible minority group?
1571
{ "cells": [ [ "age group", "women", "", "men", "" ], [ "", "not a visible minority", "visible minority", "not a visible minority", "visible minority" ], [ "", "percent", "", "", "" ], [ "15 or older", "15.7", "11.3", "13.4", "8.6" ], [ "15 to 24", "4.6", "3.2", "4.5", "4.3" ], [ "25 to 54", "10.3", "6.8", "8.9", "5.6" ], [ "55 to 64", "20.8", "23.5", "19.3", "17.9" ], [ "65 or older", "34.4", "41.9", "30.8", "30.4" ] ], "top_header_rows_num": 3, "left_header_columns_num": 1 }
[ "visible minority" ]
f8d6edba73724a1f8b10d2648ff77d28
among minority women aged 15 to 24, who were less likely to have disability, visible minority women or women who did not belong to a visible minority group?
1571
{ "cells": [ [ "age group", "women", "", "men", "" ], [ "", "not a visible minority", "visible minority", "not a visible minority", "visible minority" ], [ "", "percent", "", "", "" ], [ "15 or older", "15.7", "11.3", "13.4", "8.6" ], [ "15 to 24", "4.6", "3.2", "4.5", "4.3" ], [ "25 to 54", "10.3", "6.8", "8.9", "5.6" ], [ "55 to 64", "20.8", "23.5", "19.3", "17.9" ], [ "65 or older", "34.4", "41.9", "30.8", "30.4" ] ], "top_header_rows_num": 3, "left_header_columns_num": 1 }
[ "visible minority" ]
3e39dc8348d5bfae29a549a99472788c
among minority women aged 25 to 54, who were less likely to have disability, visible minority women or women who did not belong to a visible minority group?
1571
{ "cells": [ [ "age group", "women", "", "men", "" ], [ "", "not a visible minority", "visible minority", "not a visible minority", "visible minority" ], [ "", "percent", "", "", "" ], [ "15 or older", "15.7", "11.3", "13.4", "8.6" ], [ "15 to 24", "4.6", "3.2", "4.5", "4.3" ], [ "25 to 54", "10.3", "6.8", "8.9", "5.6" ], [ "55 to 64", "20.8", "23.5", "19.3", "17.9" ], [ "65 or older", "34.4", "41.9", "30.8", "30.4" ] ], "top_header_rows_num": 3, "left_header_columns_num": 1 }
[ "visible minority" ]
285192d727ce9192bb8b1d5c1fc06831
among minority women aged 65 or older, who were more likely to have disability, visible minority women or women who did not belong to a visible minority group?
1571
{ "cells": [ [ "age group", "women", "", "men", "" ], [ "", "not a visible minority", "visible minority", "not a visible minority", "visible minority" ], [ "", "percent", "", "", "" ], [ "15 or older", "15.7", "11.3", "13.4", "8.6" ], [ "15 to 24", "4.6", "3.2", "4.5", "4.3" ], [ "25 to 54", "10.3", "6.8", "8.9", "5.6" ], [ "55 to 64", "20.8", "23.5", "19.3", "17.9" ], [ "65 or older", "34.4", "41.9", "30.8", "30.4" ] ], "top_header_rows_num": 3, "left_header_columns_num": 1 }
[ "visible minority" ]
eab659186ab6defddaec5cbb01107b9d
among those aged 25 to 54, what was the percentag of visible minority women reported disabilities?
1571
{ "cells": [ [ "age group", "women", "", "men", "" ], [ "", "not a visible minority", "visible minority", "not a visible minority", "visible minority" ], [ "", "percent", "", "", "" ], [ "15 or older", "15.7", "11.3", "13.4", "8.6" ], [ "15 to 24", "4.6", "3.2", "4.5", "4.3" ], [ "25 to 54", "10.3", "6.8", "8.9", "5.6" ], [ "55 to 64", "20.8", "23.5", "19.3", "17.9" ], [ "65 or older", "34.4", "41.9", "30.8", "30.4" ] ], "top_header_rows_num": 3, "left_header_columns_num": 1 }
[ "6.8" ]
48886feeecd29bdaf541196acbeaabf2
among those aged 25 to 54, what was the percentag of visible minority women reported disabilities?
1571
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[ "10.3" ]
dc1b5a5363eb489932e10a7375bbf798
who were more likely to report using prescription medications at least once a week, women with disabilities or men with disabilities?
1575
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[ "women" ]
e3119080c9b8ed286aab4a3f589dee8a
how many percentage point of women with severe or very severe disabilities used of prescribed medications at least once a week?
1575
{ "cells": [ [ "use of aids, assistive devices or medications", "women", "", "", "men", "", "" ], [ "", "mild, moderate, severe, or very severe disability", "mild or moderate disability", "severe or very severe disability", "mild, moderate, severe, or very severe disability", "mild or moderate disability", "severe or very severe disability" ], [ "", "percent", "", "", "", "", "" ], [ "use of aid or assistive device for hearing", "47.1", "46.6", "47.4", "52.5", "51.1", "53.9" ], [ "use of aid or assistive device for seeing", "70.5", "62.2", "74.3", "64.3", "57.6", "68.5" ], [ "use of aid or assistive device to help with mobility or agility", "80.5", "70.3", "87.4", "76.1", "66.0", "83.4" ], [ "use of aid or assistive device to help with learning", "29.3", "36.0", "27.6", "26.2", "26.1", "26.2" ], [ "use of aid or assistive device to help with another condition", "55.9", "45.4", "66.4", "54.0", "43.5", "65.9" ], [ "use of prescription medications at least once a week", "77.1", "68.3", "86.0", "73.7", "65.7", "82.7" ] ], "top_header_rows_num": 3, "left_header_columns_num": 1 }
[ "86.0" ]
3890e5c8cdaafc9556bc1818e73e361f
how many percentage point of women with disabilities aged 15 or older reported using mobility or agility-related aids or assistive devices?
1575
{ "cells": [ [ "use of aids, assistive devices or medications", "women", "", "", "men", "", "" ], [ "", "mild, moderate, severe, or very severe disability", "mild or moderate disability", "severe or very severe disability", "mild, moderate, severe, or very severe disability", "mild or moderate disability", "severe or very severe disability" ], [ "", "percent", "", "", "", "", "" ], [ "use of aid or assistive device for hearing", "47.1", "46.6", "47.4", "52.5", "51.1", "53.9" ], [ "use of aid or assistive device for seeing", "70.5", "62.2", "74.3", "64.3", "57.6", "68.5" ], [ "use of aid or assistive device to help with mobility or agility", "80.5", "70.3", "87.4", "76.1", "66.0", "83.4" ], [ "use of aid or assistive device to help with learning", "29.3", "36.0", "27.6", "26.2", "26.1", "26.2" ], [ "use of aid or assistive device to help with another condition", "55.9", "45.4", "66.4", "54.0", "43.5", "65.9" ], [ "use of prescription medications at least once a week", "77.1", "68.3", "86.0", "73.7", "65.7", "82.7" ] ], "top_header_rows_num": 3, "left_header_columns_num": 1 }
[ "80.5" ]
2663356a787484f9a2c150e7169e04e4
who wre more likely to reporte using mobility or agility-related aids or assistive devices and assistive devices, women with mild or moderate disabilities or women with severe or very severe disabilities?
1575
{ "cells": [ [ "use of aids, assistive devices or medications", "women", "", "", "men", "", "" ], [ "", "mild, moderate, severe, or very severe disability", "mild or moderate disability", "severe or very severe disability", "mild, moderate, severe, or very severe disability", "mild or moderate disability", "severe or very severe disability" ], [ "", "percent", "", "", "", "", "" ], [ "use of aid or assistive device for hearing", "47.1", "46.6", "47.4", "52.5", "51.1", "53.9" ], [ "use of aid or assistive device for seeing", "70.5", "62.2", "74.3", "64.3", "57.6", "68.5" ], [ "use of aid or assistive device to help with mobility or agility", "80.5", "70.3", "87.4", "76.1", "66.0", "83.4" ], [ "use of aid or assistive device to help with learning", "29.3", "36.0", "27.6", "26.2", "26.1", "26.2" ], [ "use of aid or assistive device to help with another condition", "55.9", "45.4", "66.4", "54.0", "43.5", "65.9" ], [ "use of prescription medications at least once a week", "77.1", "68.3", "86.0", "73.7", "65.7", "82.7" ] ], "top_header_rows_num": 3, "left_header_columns_num": 1 }
[ "severe or very severe disability" ]
e1c0b328b2632d95cf896b49110f7a27
who wre more likely to reporte using mobility or agility-related aids or assistive devices and assistive devices, women with severe or very severe disabilities or men with severe or very severe disabilities?
1575
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[ "women" ]
c812fe8a5437f5c4abca12e14b0410dd
who were more likely to have reported needing help with heavy household chores, women or men?
1576
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who were more likely to have reported needing help with housework, women or men?
1576
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d27439f623c87df9820b6cf516a06e0b
who were more likely to have reported needing help with getting to and from appointments, women or men?
1576
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de51372e2f37aba088ba6af0597013ab
who were more likely to have reported needing help with preparing meals, women or men?
1576
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[ "women" ]
2f96a185d2235a70403c6381157d69ee
who were more likely to have reported needing help with moving around, women or men?
1576
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[ "women" ]
10c7ce955c9361c9a80d8d036bb1424f
among aged 15 or older, who were more likely to required help with heavy household chores, women with severe or very severe disabilities or women with mild or moderate disabilities?
1576
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[ "severe or very severe disability" ]
801f888cdb214a0e1d752019ed1f0ac7
who were more likely to required help with housework, women with severe or very severe disabilities or women with mild or moderate disabilities?
1576
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[ "severe or very severe disability" ]
47ba7960fe66a9a8e41b9f2d3067d520
who were more likely to required help with getting to appointments, women with severe or very severe disabilities or women with mild or moderate disabilities?
1576
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[ "severe or very severe disability" ]
dbb6d8343dcd647e72f6a92de263927c
who were more likely to required help preparing meals, women with severe or very severe disabilities or women with mild or moderate disabilities?
1576
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[ "severe or very severe disability" ]
f936056bdaafdbf63317463a7b9a37a8
among men with severe or very severe disabilities, what was the proportion of men reported needing help with heavy household chores?
1576
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[ "71.2" ]
0b5ce9be1784fa7e1025d6a7283a7ef1
among men with severe or very severe disabilities, what was the proportion of men reported needing help with getting to appointments?
1576
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[ "51.3" ]
c20b59a1e2794594cec67de10aa5ac00
among men with severe or very severe disabilities, what was the proportion of men reported needing help with preparing meals?
1576
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[ "39.9" ]