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-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- State the name of sport id 19.
| SELECT sport_name FROM sport WHERE id = 19; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Give the id of the event "Shooting Mixed Skeet".
| SELECT id FROM event WHERE event_name = 'Shooting Mixed Skeet'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Provide hockey's sport id.
| SELECT id FROM sport WHERE sport_name = 'Hockey'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Tell the weight of Dagfinn Sverre Aarskog.
| SELECT weight FROM person WHERE full_name = 'Dagfinn Sverre Aarskog'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the id of Rio de Janeiro?
| SELECT id FROM city WHERE city_name = 'Rio de Janeiro'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many people have won the gold medal of the event "Rowing Women's Coxed Eights"?
| SELECT COUNT(T1.competitor_id) FROM competitor_event AS T1 INNER JOIN event AS T2 ON T1.event_id = T2.id INNER JOIN medal AS T3 ON T1.medal_id = T3.id WHERE T2.event_name LIKE 'Rowing Women%s Coxed Eights' AND T3.medal_name = 'Gold'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many kinds of events belong to the sport of cycling?
| SELECT COUNT(T2.event_name) FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id WHERE T1.sport_name = 'Cycling'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is Vijay Singh Chauhan's region name?
| SELECT T1.region_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'Vijay Singh Chauhan'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- When did Roma host the Olympic Games?
| SELECT T3.games_year FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'Roma'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many 20 years old athletes were there in the 1984 Summer Olympic Games?
| SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '1984 Summer' AND T2.age = 20; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many games has Prithipal Singh participated in?
| SELECT COUNT(T2.games_id) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id WHERE T1.full_name = 'Prithipal Singh'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- State the number of athletes in the 1984 Summer Olympic Games who were more than 50 years old.
| SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '1984 Summer' AND T2.age > 50; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many kinds of events does athletics have?
| SELECT COUNT(T2.event_name) FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id WHERE T1.sport_name = 'Athletics'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Who is the heaviest athlete from Russia?
| SELECT T3.full_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Russia' ORDER BY T3.weight DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Give the height of the tallest athlete from Portugal.
| SELECT T3.height FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Portugal' ORDER BY T3.height DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Tell the host city of the 1968 Winter Olympic Games.
| SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T3.games_name = '1968 Winter'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Which region has the most athletes?
| SELECT T2.region_name FROM person_region AS T1 INNER JOIN noc_region AS T2 ON T1.region_id = T2.id GROUP BY T2.region_name ORDER BY COUNT(T1.person_id) DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the percentage of athletes from Vanuatu who are taller than 175?
| SELECT CAST(COUNT(CASE WHEN T3.height > 175 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.person_id) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Vanuatu'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Calculate the average weight of male athletes from Tonga.
| SELECT AVG(T3.weight) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Tonga' AND T3.gender = 'M'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Where was the 1920 Summer held?
| SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T3.games_name = '1920 Summer'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- From 1900 to 1992, how many games did London host?
| SELECT COUNT(T3.id) FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'London' AND T3.games_year BETWEEN 1900 AND 1992; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many Summer games are there that were held in Paris?
| SELECT COUNT(T3.id) FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'Paris' AND T3.season = 'Summer'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Please list all game names that were held in Los Angeles.
| SELECT T3.games_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'Los Angeles'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Which city hosted the most games?
| SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id GROUP BY T2.city_name ORDER BY COUNT(T2.city_name) DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the game name that was held in Beijing in 2008?
| SELECT T3.games_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'Beijing' AND T3.games_year = 2008; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the percentage of champions at the age of over 30?
| SELECT CAST(COUNT(CASE WHEN T2.age > 30 THEN 1 END) AS REAL) * 100 / COUNT(T2.person_id) FROM competitor_event AS T1 INNER JOIN games_competitor AS T2 ON T1.competitor_id = T2.id WHERE T1.medal_id = 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- At which age did A Lamusi participate in 2012 Summer?
| SELECT T2.age FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_name = '2012 Summer' AND T3.full_name = 'A Lamusi'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many competitors were there who participated in 2000 Summer with age 31?
| SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '2000 Summer' AND T2.age = 31; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many male competitors were there who participated in 1948 Summer?
| SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_name = '1948 Summer' AND T3.gender = 'M'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Please list all competitors' names who participated in 1936 Summer.
| SELECT T3.full_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_name = '1936 Summer'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Who is the youngest competitor that participated in 2014 Winter?
| SELECT T3.full_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_name = '2014 Winter' ORDER BY T2.age LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the average age of competitors who participated in 1988 Winter?
| SELECT AVG(T2.age) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_name = '1988 Winter'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the percentage of female competitors whose heights are over 170 that participated in the game in 1988?
| SELECT CAST(COUNT(CASE WHEN T3.gender = 'F' AND T3.height > 170 THEN 1 END) AS REAL) * 100 / COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_year = 1988; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the sport name of "Cross Country Skiing Men's 10/15 kilometres Pursuit" event?
| SELECT T1.sport_name FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id WHERE T2.event_name LIKE 'Cross Country Skiing Men%s 10/15 kilometres Pursuit'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the percentage of people whose age greater than 24 and participate in winter season?
| SELECT CAST(COUNT(CASE WHEN T2.age > 24 AND T1.season = 'Winter' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.games_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the region id of Christine Jacoba Aaftink?
| SELECT T1.region_id FROM person_region AS T1 INNER JOIN person AS T2 ON T1.person_id = T2.id WHERE T2.full_name = 'Christine Jacoba Aaftink'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Mention the height of people who belong to region id 7.
| SELECT T2.height FROM person_region AS T1 INNER JOIN person AS T2 ON T1.person_id = T2.id WHERE T1.region_id = 7; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- State the name of the city that held game id 3.
| SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id WHERE T1.games_id = 3; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What are the id of the games held in London?
| SELECT T1.games_id FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id WHERE T2.city_name = 'London'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many people who are below 30 and participated in the summer season?
| SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.season = 'Summer' AND T2.age < 30; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- List out the name of the game that the people participated in games id 13.
| SELECT DISTINCT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T2.games_id = 13; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the average age of the people who participated in the winter season?
| SELECT AVG(T2.age) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.season = 'Winter'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the percentage of the people who are under 35 and participated in the summer season?
| SELECT CAST(COUNT(CASE WHEN T2.age < 35 THEN 1 END) AS REAL) * 100 / COUNT(T2.games_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.season = 'Summer'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- State the event name of Basketball.
| SELECT T2.event_name FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id WHERE T1.sport_name = 'Basketball'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the name of medal that competitor id 9 obtained?
| SELECT DISTINCT T1.medal_name FROM medal AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.medal_id WHERE T2.competitor_id = 9; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- List out the id of event that achieve the gold medal.
| SELECT T2.event_id FROM medal AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.medal_id WHERE T1.medal_name = 'Gold'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Who is the heaviest athlete?
| SELECT full_name FROM person ORDER BY weight DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Which city were the Olympic games held in 1992?
| SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T3.games_year = 1992; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Which region is the majority of the athletes from?
| SELECT T2.region_name FROM person_region AS T1 INNER JOIN noc_region AS T2 ON T1.region_id = T2.id GROUP BY T2.region_name ORDER BY COUNT(T1.person_id) DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the name of the oldest competitor?
| SELECT T1.full_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id ORDER BY T2.age DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Which sport did John Aalberg participate in?
| SELECT DISTINCT T1.sport_name FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id INNER JOIN competitor_event AS T3 ON T2.id = T3.event_id INNER JOIN games_competitor AS T4 ON T3.competitor_id = T4.id INNER JOIN person AS T5 ON T4.person_id = T5.id WHERE T5.full_name = 'John Aalberg'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many Belgian men have competed in an Olympic Games?
| SELECT COUNT(T2.person_id) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Belgium' AND T3.gender = 'M'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many athletes took part in the Olympic games held in Barcelona?
| SELECT COUNT(T1.person_id) FROM games_competitor AS T1 INNER JOIN games_city AS T2 ON T1.games_id = T2.games_id INNER JOIN city AS T3 ON T2.city_id = T3.id WHERE T3.city_name = 'Barcelona'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many different football events are there?
| SELECT COUNT(T2.event_name) FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id WHERE T1.sport_name = 'Football'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What were the cities in which John Aalberg competed?
| SELECT T4.city_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN games_city AS T3 ON T2.games_id = T3.games_id INNER JOIN city AS T4 ON T3.city_id = T4.id WHERE T1.full_name = 'John Aalberg'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- In Barcelona, how many Olympic games were held?
| SELECT COUNT(T1.games_id) FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id WHERE T2.city_name = 'Barcelona'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many competitors over the age of 30 participated in the 1992 Winter Olympics?
| SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '1992 Winter' AND T2.age > 30; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the name of the Olympic game with the most competitors held in Barcelona?
| SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN games_city AS T3 ON T2.games_id = T3.games_id INNER JOIN city AS T4 ON T3.city_id = T4.id WHERE T4.city_name = 'Barcelona' GROUP BY T1.id ORDER BY COUNT(T2.person_id) DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- List the name of competitors from Argentina.
| SELECT T3.full_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Argentina'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the average age of Argentina's athletes who participated in the Summer Olympics in 2012?
| SELECT AVG(T2.age) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person_region AS T3 ON T2.person_id = T3.person_id INNER JOIN noc_region AS T4 ON T3.region_id = T4.id WHERE T1.games_name = '2012 Summer' AND T4.region_name = 'Argentina'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Calculate the percentage of bronze medals won by men's basketball players.
| SELECT CAST(COUNT(CASE WHEN T4.medal_name = 'Bronze' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.person_id) FROM competitor_event AS T1 INNER JOIN games_competitor AS T2 ON T1.competitor_id = T2.id INNER JOIN event AS T3 ON T1.event_id = T3.id INNER JOIN medal AS T4 ON T1.medal_id = T4.id WHERE T3.event_name LIKE 'Basketball Men%s Basketball'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- List the name of the games that Georgios Abaris participated.
| SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'Georgios Abaris'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Provide the name of competitors from Greece.
| SELECT T3.full_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Greece'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Calculate the average age of the competitors who participated in the 1924 Winter.
| SELECT AVG(T2.age) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '1924 Winter'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the NOC code of the region of the competitors weighted 77 kg?
| SELECT T1.noc FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.weight = 77; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- List the names of the games held in Paris.
| SELECT T3.games_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'Paris'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Provide the competitors' names who joined the 2000 Summer.
| SELECT T3.full_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_name = '2000 Summer'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- In which city was the game held where the oldest competitor participated?
| SELECT T4.city_name FROM games_competitor AS T1 INNER JOIN games AS T2 ON T1.games_id = T2.id INNER JOIN games_city AS T3 ON T1.games_id = T3.games_id INNER JOIN city AS T4 ON T3.city_id = T4.id ORDER BY T1.age DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the name of the youngest competitor?
| SELECT T1.full_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id ORDER BY T2.age LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- List down the games ID of games held in Tokyo.
| SELECT T1.games_id FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id WHERE T2.city_name = 'Tokyo'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Give the NOC code and region name of the heaviest competitor.
| SELECT T1.noc, T1.region_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id ORDER BY T3.weight DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- In what year and season did Sohail Abbas compete?
| SELECT T1.games_year, T1.season FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'Sohail Abbas'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the average weight of the competitors who won a silver medal?
| SELECT AVG(T1.weight) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN medal AS T4 ON T3.medal_id = T4.id WHERE T4.medal_name = 'Silver'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- In which city the 2004 Summer was held?
| SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T3.games_name = '2004 Summer'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the season of the game where a competitor who weighted 73 kg and 180 cm tall, participated?
| SELECT DISTINCT T1.season FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.height = 180 AND T3.weight = 73; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Provide the names of competitors who received a gold medal.
| SELECT DISTINCT T1.full_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN medal AS T4 ON T3.medal_id = T4.id WHERE T4.medal_name = 'Gold'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Compute the average height of competitors whose age ranges from 22 to 28.
| SELECT AVG(T1.height) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id WHERE T2.age BETWEEN 22 AND 28; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many female competitors were from Iran?
| SELECT COUNT(T2.person_id) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Iran' AND T3.gender = 'F'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Provide the age of the tallest competitor.
| SELECT T2.age FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id ORDER BY T1.height DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Among the competitors with age ranges 24 and below, calculate the difference between the number of competitors who weighed greater than 70 kg and competitors who weighted less than 70 kg.
| SELECT COUNT(CASE WHEN T1.weight > 70 THEN 1 ELSE NULL END) - COUNT(CASE WHEN T1.weight < 70 THEN 1 ELSE NULL END) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id WHERE T2.age < 24; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- In the 2014 Winter game, what is the percentage of competitors who age 28 years old?
| SELECT CAST(COUNT(CASE WHEN T2.age = 28 THEN 1 END) AS REAL) * 100 / COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '2014 Winter'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Among the males, list the region name of people with height greater than 87% of the average height of all people listed.
| SELECT DISTINCT T1.region_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.gender = 'M' AND T3.height * 100 > ( SELECT AVG(height) FROM person WHERE gender = 'M' ) * 87; |
-- Database schema
| CBSA : CBSA [ INTEGER ] primary_key , CBSA_name [ TEXT ] , CBSA_type [ TEXT ] | state : abbreviation [ TEXT ] primary_key , name [ TEXT ] | congress : cognress_rep_id [ TEXT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , CID [ TEXT ] , party [ TEXT ] , state [ TEXT ] , abbreviation [ TEXT ] congress.abbreviation = state.abbreviation , House [ TEXT ] , District [ INTEGER ] , land_area [ REAL ] | zip_data : zip_code [ INTEGER ] primary_key , city [ TEXT ] , state [ TEXT ] zip_data.state = state.abbreviation , multi_county [ TEXT ] , type [ TEXT ] , organization [ TEXT ] , time_zone [ TEXT ] , daylight_savings [ TEXT ] , latitude [ REAL ] , longitude [ REAL ] , elevation [ INTEGER ] , state_fips [ INTEGER ] , county_fips [ INTEGER ] , region [ TEXT ] , division [ TEXT ] , population_2020 [ INTEGER ] , population_2010 [ INTEGER ] , households [ INTEGER ] , avg_house_value [ INTEGER ] , avg_income_per_household [ INTEGER ] , persons_per_household [ REAL ] , white_population [ INTEGER ] , black_population [ INTEGER ] , hispanic_population [ INTEGER ] , asian_population [ INTEGER ] , american_indian_population [ INTEGER ] , hawaiian_population [ INTEGER ] , other_population [ INTEGER ] , male_population [ INTEGER ] , female_population [ INTEGER ] , median_age [ REAL ] , male_median_age [ REAL ] , female_median_age [ REAL ] , residential_mailboxes [ INTEGER ] , business_mailboxes [ INTEGER ] , total_delivery_receptacles [ INTEGER ] , businesses [ INTEGER ] , 1st_quarter_payroll [ INTEGER ] , annual_payroll [ INTEGER ] , employees [ INTEGER ] , water_area [ REAL ] , land_area [ REAL ] , single_family_delivery_units [ INTEGER ] , multi_family_delivery_units [ INTEGER ] , total_beneficiaries [ INTEGER ] , retired_workers [ INTEGER ] , disabled_workers [ INTEGER ] , parents_and_widowed [ INTEGER ] , spouses [ INTEGER ] , children [ INTEGER ] , over_65 [ INTEGER ] , monthly_benefits_all [ INTEGER ] , monthly_benefits_retired_workers [ INTEGER ] , monthly_benefits_widowed [ INTEGER ] , CBSA [ INTEGER ] zip_data.CBSA = CBSA.CBSA | alias : zip_code [ INTEGER ] primary_key alias.zip_code = zip_data.zip_code , alias [ TEXT ] | area_code : zip_code [ INTEGER ] area_code.zip_code = zip_data.zip_code , area_code [ INTEGER ] | avoid : zip_code [ INTEGER ] avoid.zip_code = zip_data.zip_code , bad_alias [ TEXT ] | country : zip_code [ INTEGER ] country.zip_code = zip_data.zip_code , county [ TEXT ] , state [ TEXT ] country.state = state.abbreviation | zip_congress : zip_code [ INTEGER ] zip_congress.zip_code = zip_data.zip_code , district [ TEXT ] zip_congress.district = congress.cognress_rep_id |
-- -- What is the total number of households in Arecibo county?
| SELECT SUM(T1.households) FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T2.county = 'ARECIBO'; |
-- Database schema
| CBSA : CBSA [ INTEGER ] primary_key , CBSA_name [ TEXT ] , CBSA_type [ TEXT ] | state : abbreviation [ TEXT ] primary_key , name [ TEXT ] | congress : cognress_rep_id [ TEXT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , CID [ TEXT ] , party [ TEXT ] , state [ TEXT ] , abbreviation [ TEXT ] congress.abbreviation = state.abbreviation , House [ TEXT ] , District [ INTEGER ] , land_area [ REAL ] | zip_data : zip_code [ INTEGER ] primary_key , city [ TEXT ] , state [ TEXT ] zip_data.state = state.abbreviation , multi_county [ TEXT ] , type [ TEXT ] , organization [ TEXT ] , time_zone [ TEXT ] , daylight_savings [ TEXT ] , latitude [ REAL ] , longitude [ REAL ] , elevation [ INTEGER ] , state_fips [ INTEGER ] , county_fips [ INTEGER ] , region [ TEXT ] , division [ TEXT ] , population_2020 [ INTEGER ] , population_2010 [ INTEGER ] , households [ INTEGER ] , avg_house_value [ INTEGER ] , avg_income_per_household [ INTEGER ] , persons_per_household [ REAL ] , white_population [ INTEGER ] , black_population [ INTEGER ] , hispanic_population [ INTEGER ] , asian_population [ INTEGER ] , american_indian_population [ INTEGER ] , hawaiian_population [ INTEGER ] , other_population [ INTEGER ] , male_population [ INTEGER ] , female_population [ INTEGER ] , median_age [ REAL ] , male_median_age [ REAL ] , female_median_age [ REAL ] , residential_mailboxes [ INTEGER ] , business_mailboxes [ INTEGER ] , total_delivery_receptacles [ INTEGER ] , businesses [ INTEGER ] , 1st_quarter_payroll [ INTEGER ] , annual_payroll [ INTEGER ] , employees [ INTEGER ] , water_area [ REAL ] , land_area [ REAL ] , single_family_delivery_units [ INTEGER ] , multi_family_delivery_units [ INTEGER ] , total_beneficiaries [ INTEGER ] , retired_workers [ INTEGER ] , disabled_workers [ INTEGER ] , parents_and_widowed [ INTEGER ] , spouses [ INTEGER ] , children [ INTEGER ] , over_65 [ INTEGER ] , monthly_benefits_all [ INTEGER ] , monthly_benefits_retired_workers [ INTEGER ] , monthly_benefits_widowed [ INTEGER ] , CBSA [ INTEGER ] zip_data.CBSA = CBSA.CBSA | alias : zip_code [ INTEGER ] primary_key alias.zip_code = zip_data.zip_code , alias [ TEXT ] | area_code : zip_code [ INTEGER ] area_code.zip_code = zip_data.zip_code , area_code [ INTEGER ] | avoid : zip_code [ INTEGER ] avoid.zip_code = zip_data.zip_code , bad_alias [ TEXT ] | country : zip_code [ INTEGER ] country.zip_code = zip_data.zip_code , county [ TEXT ] , state [ TEXT ] country.state = state.abbreviation | zip_congress : zip_code [ INTEGER ] zip_congress.zip_code = zip_data.zip_code , district [ TEXT ] zip_congress.district = congress.cognress_rep_id |
-- -- Which residential area in Arecibo county has the highest average house value? Please give its zip_code.
| SELECT T1.zip_code FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T2.county = 'ARECIBO' ORDER BY T1.avg_house_value DESC LIMIT 1; |
-- Database schema
| CBSA : CBSA [ INTEGER ] primary_key , CBSA_name [ TEXT ] , CBSA_type [ TEXT ] | state : abbreviation [ TEXT ] primary_key , name [ TEXT ] | congress : cognress_rep_id [ TEXT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , CID [ TEXT ] , party [ TEXT ] , state [ TEXT ] , abbreviation [ TEXT ] congress.abbreviation = state.abbreviation , House [ TEXT ] , District [ INTEGER ] , land_area [ REAL ] | zip_data : zip_code [ INTEGER ] primary_key , city [ TEXT ] , state [ TEXT ] zip_data.state = state.abbreviation , multi_county [ TEXT ] , type [ TEXT ] , organization [ TEXT ] , time_zone [ TEXT ] , daylight_savings [ TEXT ] , latitude [ REAL ] , longitude [ REAL ] , elevation [ INTEGER ] , state_fips [ INTEGER ] , county_fips [ INTEGER ] , region [ TEXT ] , division [ TEXT ] , population_2020 [ INTEGER ] , population_2010 [ INTEGER ] , households [ INTEGER ] , avg_house_value [ INTEGER ] , avg_income_per_household [ INTEGER ] , persons_per_household [ REAL ] , white_population [ INTEGER ] , black_population [ INTEGER ] , hispanic_population [ INTEGER ] , asian_population [ INTEGER ] , american_indian_population [ INTEGER ] , hawaiian_population [ INTEGER ] , other_population [ INTEGER ] , male_population [ INTEGER ] , female_population [ INTEGER ] , median_age [ REAL ] , male_median_age [ REAL ] , female_median_age [ REAL ] , residential_mailboxes [ INTEGER ] , business_mailboxes [ INTEGER ] , total_delivery_receptacles [ INTEGER ] , businesses [ INTEGER ] , 1st_quarter_payroll [ INTEGER ] , annual_payroll [ INTEGER ] , employees [ INTEGER ] , water_area [ REAL ] , land_area [ REAL ] , single_family_delivery_units [ INTEGER ] , multi_family_delivery_units [ INTEGER ] , total_beneficiaries [ INTEGER ] , retired_workers [ INTEGER ] , disabled_workers [ INTEGER ] , parents_and_widowed [ INTEGER ] , spouses [ INTEGER ] , children [ INTEGER ] , over_65 [ INTEGER ] , monthly_benefits_all [ INTEGER ] , monthly_benefits_retired_workers [ INTEGER ] , monthly_benefits_widowed [ INTEGER ] , CBSA [ INTEGER ] zip_data.CBSA = CBSA.CBSA | alias : zip_code [ INTEGER ] primary_key alias.zip_code = zip_data.zip_code , alias [ TEXT ] | area_code : zip_code [ INTEGER ] area_code.zip_code = zip_data.zip_code , area_code [ INTEGER ] | avoid : zip_code [ INTEGER ] avoid.zip_code = zip_data.zip_code , bad_alias [ TEXT ] | country : zip_code [ INTEGER ] country.zip_code = zip_data.zip_code , county [ TEXT ] , state [ TEXT ] country.state = state.abbreviation | zip_congress : zip_code [ INTEGER ] zip_congress.zip_code = zip_data.zip_code , district [ TEXT ] zip_congress.district = congress.cognress_rep_id |
-- -- Please list the numbers of males in all the residential areas in Arecibo county.
| SELECT SUM(T1.male_population) FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T2.county = 'ARECIBO'; |
-- Database schema
| CBSA : CBSA [ INTEGER ] primary_key , CBSA_name [ TEXT ] , CBSA_type [ TEXT ] | state : abbreviation [ TEXT ] primary_key , name [ TEXT ] | congress : cognress_rep_id [ TEXT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , CID [ TEXT ] , party [ TEXT ] , state [ TEXT ] , abbreviation [ TEXT ] congress.abbreviation = state.abbreviation , House [ TEXT ] , District [ INTEGER ] , land_area [ REAL ] | zip_data : zip_code [ INTEGER ] primary_key , city [ TEXT ] , state [ TEXT ] zip_data.state = state.abbreviation , multi_county [ TEXT ] , type [ TEXT ] , organization [ TEXT ] , time_zone [ TEXT ] , daylight_savings [ TEXT ] , latitude [ REAL ] , longitude [ REAL ] , elevation [ INTEGER ] , state_fips [ INTEGER ] , county_fips [ INTEGER ] , region [ TEXT ] , division [ TEXT ] , population_2020 [ INTEGER ] , population_2010 [ INTEGER ] , households [ INTEGER ] , avg_house_value [ INTEGER ] , avg_income_per_household [ INTEGER ] , persons_per_household [ REAL ] , white_population [ INTEGER ] , black_population [ INTEGER ] , hispanic_population [ INTEGER ] , asian_population [ INTEGER ] , american_indian_population [ INTEGER ] , hawaiian_population [ INTEGER ] , other_population [ INTEGER ] , male_population [ INTEGER ] , female_population [ INTEGER ] , median_age [ REAL ] , male_median_age [ REAL ] , female_median_age [ REAL ] , residential_mailboxes [ INTEGER ] , business_mailboxes [ INTEGER ] , total_delivery_receptacles [ INTEGER ] , businesses [ INTEGER ] , 1st_quarter_payroll [ INTEGER ] , annual_payroll [ INTEGER ] , employees [ INTEGER ] , water_area [ REAL ] , land_area [ REAL ] , single_family_delivery_units [ INTEGER ] , multi_family_delivery_units [ INTEGER ] , total_beneficiaries [ INTEGER ] , retired_workers [ INTEGER ] , disabled_workers [ INTEGER ] , parents_and_widowed [ INTEGER ] , spouses [ INTEGER ] , children [ INTEGER ] , over_65 [ INTEGER ] , monthly_benefits_all [ INTEGER ] , monthly_benefits_retired_workers [ INTEGER ] , monthly_benefits_widowed [ INTEGER ] , CBSA [ INTEGER ] zip_data.CBSA = CBSA.CBSA | alias : zip_code [ INTEGER ] primary_key alias.zip_code = zip_data.zip_code , alias [ TEXT ] | area_code : zip_code [ INTEGER ] area_code.zip_code = zip_data.zip_code , area_code [ INTEGER ] | avoid : zip_code [ INTEGER ] avoid.zip_code = zip_data.zip_code , bad_alias [ TEXT ] | country : zip_code [ INTEGER ] country.zip_code = zip_data.zip_code , county [ TEXT ] , state [ TEXT ] country.state = state.abbreviation | zip_congress : zip_code [ INTEGER ] zip_congress.zip_code = zip_data.zip_code , district [ TEXT ] zip_congress.district = congress.cognress_rep_id |
-- -- Among all the residential areas in Delaware, how many of them implement daylight saving?
| SELECT COUNT(T1.zip_code) FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T2.county = 'DELAWARE' AND T1.daylight_savings = 'Yes'; |
-- Database schema
| CBSA : CBSA [ INTEGER ] primary_key , CBSA_name [ TEXT ] , CBSA_type [ TEXT ] | state : abbreviation [ TEXT ] primary_key , name [ TEXT ] | congress : cognress_rep_id [ TEXT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , CID [ TEXT ] , party [ TEXT ] , state [ TEXT ] , abbreviation [ TEXT ] congress.abbreviation = state.abbreviation , House [ TEXT ] , District [ INTEGER ] , land_area [ REAL ] | zip_data : zip_code [ INTEGER ] primary_key , city [ TEXT ] , state [ TEXT ] zip_data.state = state.abbreviation , multi_county [ TEXT ] , type [ TEXT ] , organization [ TEXT ] , time_zone [ TEXT ] , daylight_savings [ TEXT ] , latitude [ REAL ] , longitude [ REAL ] , elevation [ INTEGER ] , state_fips [ INTEGER ] , county_fips [ INTEGER ] , region [ TEXT ] , division [ TEXT ] , population_2020 [ INTEGER ] , population_2010 [ INTEGER ] , households [ INTEGER ] , avg_house_value [ INTEGER ] , avg_income_per_household [ INTEGER ] , persons_per_household [ REAL ] , white_population [ INTEGER ] , black_population [ INTEGER ] , hispanic_population [ INTEGER ] , asian_population [ INTEGER ] , american_indian_population [ INTEGER ] , hawaiian_population [ INTEGER ] , other_population [ INTEGER ] , male_population [ INTEGER ] , female_population [ INTEGER ] , median_age [ REAL ] , male_median_age [ REAL ] , female_median_age [ REAL ] , residential_mailboxes [ INTEGER ] , business_mailboxes [ INTEGER ] , total_delivery_receptacles [ INTEGER ] , businesses [ INTEGER ] , 1st_quarter_payroll [ INTEGER ] , annual_payroll [ INTEGER ] , employees [ INTEGER ] , water_area [ REAL ] , land_area [ REAL ] , single_family_delivery_units [ INTEGER ] , multi_family_delivery_units [ INTEGER ] , total_beneficiaries [ INTEGER ] , retired_workers [ INTEGER ] , disabled_workers [ INTEGER ] , parents_and_widowed [ INTEGER ] , spouses [ INTEGER ] , children [ INTEGER ] , over_65 [ INTEGER ] , monthly_benefits_all [ INTEGER ] , monthly_benefits_retired_workers [ INTEGER ] , monthly_benefits_widowed [ INTEGER ] , CBSA [ INTEGER ] zip_data.CBSA = CBSA.CBSA | alias : zip_code [ INTEGER ] primary_key alias.zip_code = zip_data.zip_code , alias [ TEXT ] | area_code : zip_code [ INTEGER ] area_code.zip_code = zip_data.zip_code , area_code [ INTEGER ] | avoid : zip_code [ INTEGER ] avoid.zip_code = zip_data.zip_code , bad_alias [ TEXT ] | country : zip_code [ INTEGER ] country.zip_code = zip_data.zip_code , county [ TEXT ] , state [ TEXT ] country.state = state.abbreviation | zip_congress : zip_code [ INTEGER ] zip_congress.zip_code = zip_data.zip_code , district [ TEXT ] zip_congress.district = congress.cognress_rep_id |
-- -- Among all the residential areas in Arecibo county, what is the zip_code of the one with the highest white population?
| SELECT T1.zip_code FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T2.county = 'ARECIBO' ORDER BY T1.white_population DESC LIMIT 1; |
-- Database schema
| CBSA : CBSA [ INTEGER ] primary_key , CBSA_name [ TEXT ] , CBSA_type [ TEXT ] | state : abbreviation [ TEXT ] primary_key , name [ TEXT ] | congress : cognress_rep_id [ TEXT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , CID [ TEXT ] , party [ TEXT ] , state [ TEXT ] , abbreviation [ TEXT ] congress.abbreviation = state.abbreviation , House [ TEXT ] , District [ INTEGER ] , land_area [ REAL ] | zip_data : zip_code [ INTEGER ] primary_key , city [ TEXT ] , state [ TEXT ] zip_data.state = state.abbreviation , multi_county [ TEXT ] , type [ TEXT ] , organization [ TEXT ] , time_zone [ TEXT ] , daylight_savings [ TEXT ] , latitude [ REAL ] , longitude [ REAL ] , elevation [ INTEGER ] , state_fips [ INTEGER ] , county_fips [ INTEGER ] , region [ TEXT ] , division [ TEXT ] , population_2020 [ INTEGER ] , population_2010 [ INTEGER ] , households [ INTEGER ] , avg_house_value [ INTEGER ] , avg_income_per_household [ INTEGER ] , persons_per_household [ REAL ] , white_population [ INTEGER ] , black_population [ INTEGER ] , hispanic_population [ INTEGER ] , asian_population [ INTEGER ] , american_indian_population [ INTEGER ] , hawaiian_population [ INTEGER ] , other_population [ INTEGER ] , male_population [ INTEGER ] , female_population [ INTEGER ] , median_age [ REAL ] , male_median_age [ REAL ] , female_median_age [ REAL ] , residential_mailboxes [ INTEGER ] , business_mailboxes [ INTEGER ] , total_delivery_receptacles [ INTEGER ] , businesses [ INTEGER ] , 1st_quarter_payroll [ INTEGER ] , annual_payroll [ INTEGER ] , employees [ INTEGER ] , water_area [ REAL ] , land_area [ REAL ] , single_family_delivery_units [ INTEGER ] , multi_family_delivery_units [ INTEGER ] , total_beneficiaries [ INTEGER ] , retired_workers [ INTEGER ] , disabled_workers [ INTEGER ] , parents_and_widowed [ INTEGER ] , spouses [ INTEGER ] , children [ INTEGER ] , over_65 [ INTEGER ] , monthly_benefits_all [ INTEGER ] , monthly_benefits_retired_workers [ INTEGER ] , monthly_benefits_widowed [ INTEGER ] , CBSA [ INTEGER ] zip_data.CBSA = CBSA.CBSA | alias : zip_code [ INTEGER ] primary_key alias.zip_code = zip_data.zip_code , alias [ TEXT ] | area_code : zip_code [ INTEGER ] area_code.zip_code = zip_data.zip_code , area_code [ INTEGER ] | avoid : zip_code [ INTEGER ] avoid.zip_code = zip_data.zip_code , bad_alias [ TEXT ] | country : zip_code [ INTEGER ] country.zip_code = zip_data.zip_code , county [ TEXT ] , state [ TEXT ] country.state = state.abbreviation | zip_congress : zip_code [ INTEGER ] zip_congress.zip_code = zip_data.zip_code , district [ TEXT ] zip_congress.district = congress.cognress_rep_id |
-- -- In which county is the residential area with the highest average income per household located?
| SELECT T2.county FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T2.county = 'ARECIBO' GROUP BY T2.county ORDER BY T1.avg_income_per_household DESC LIMIT 1; |
-- Database schema
| CBSA : CBSA [ INTEGER ] primary_key , CBSA_name [ TEXT ] , CBSA_type [ TEXT ] | state : abbreviation [ TEXT ] primary_key , name [ TEXT ] | congress : cognress_rep_id [ TEXT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , CID [ TEXT ] , party [ TEXT ] , state [ TEXT ] , abbreviation [ TEXT ] congress.abbreviation = state.abbreviation , House [ TEXT ] , District [ INTEGER ] , land_area [ REAL ] | zip_data : zip_code [ INTEGER ] primary_key , city [ TEXT ] , state [ TEXT ] zip_data.state = state.abbreviation , multi_county [ TEXT ] , type [ TEXT ] , organization [ TEXT ] , time_zone [ TEXT ] , daylight_savings [ TEXT ] , latitude [ REAL ] , longitude [ REAL ] , elevation [ INTEGER ] , state_fips [ INTEGER ] , county_fips [ INTEGER ] , region [ TEXT ] , division [ TEXT ] , population_2020 [ INTEGER ] , population_2010 [ INTEGER ] , households [ INTEGER ] , avg_house_value [ INTEGER ] , avg_income_per_household [ INTEGER ] , persons_per_household [ REAL ] , white_population [ INTEGER ] , black_population [ INTEGER ] , hispanic_population [ INTEGER ] , asian_population [ INTEGER ] , american_indian_population [ INTEGER ] , hawaiian_population [ INTEGER ] , other_population [ INTEGER ] , male_population [ INTEGER ] , female_population [ INTEGER ] , median_age [ REAL ] , male_median_age [ REAL ] , female_median_age [ REAL ] , residential_mailboxes [ INTEGER ] , business_mailboxes [ INTEGER ] , total_delivery_receptacles [ INTEGER ] , businesses [ INTEGER ] , 1st_quarter_payroll [ INTEGER ] , annual_payroll [ INTEGER ] , employees [ INTEGER ] , water_area [ REAL ] , land_area [ REAL ] , single_family_delivery_units [ INTEGER ] , multi_family_delivery_units [ INTEGER ] , total_beneficiaries [ INTEGER ] , retired_workers [ INTEGER ] , disabled_workers [ INTEGER ] , parents_and_widowed [ INTEGER ] , spouses [ INTEGER ] , children [ INTEGER ] , over_65 [ INTEGER ] , monthly_benefits_all [ INTEGER ] , monthly_benefits_retired_workers [ INTEGER ] , monthly_benefits_widowed [ INTEGER ] , CBSA [ INTEGER ] zip_data.CBSA = CBSA.CBSA | alias : zip_code [ INTEGER ] primary_key alias.zip_code = zip_data.zip_code , alias [ TEXT ] | area_code : zip_code [ INTEGER ] area_code.zip_code = zip_data.zip_code , area_code [ INTEGER ] | avoid : zip_code [ INTEGER ] avoid.zip_code = zip_data.zip_code , bad_alias [ TEXT ] | country : zip_code [ INTEGER ] country.zip_code = zip_data.zip_code , county [ TEXT ] , state [ TEXT ] country.state = state.abbreviation | zip_congress : zip_code [ INTEGER ] zip_congress.zip_code = zip_data.zip_code , district [ TEXT ] zip_congress.district = congress.cognress_rep_id |
-- -- Please list the names of all the counties with at least one residential area that implements daylight saving.
| SELECT DISTINCT T2.county FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T1.daylight_savings = 'Yes'; |
-- Database schema
| CBSA : CBSA [ INTEGER ] primary_key , CBSA_name [ TEXT ] , CBSA_type [ TEXT ] | state : abbreviation [ TEXT ] primary_key , name [ TEXT ] | congress : cognress_rep_id [ TEXT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , CID [ TEXT ] , party [ TEXT ] , state [ TEXT ] , abbreviation [ TEXT ] congress.abbreviation = state.abbreviation , House [ TEXT ] , District [ INTEGER ] , land_area [ REAL ] | zip_data : zip_code [ INTEGER ] primary_key , city [ TEXT ] , state [ TEXT ] zip_data.state = state.abbreviation , multi_county [ TEXT ] , type [ TEXT ] , organization [ TEXT ] , time_zone [ TEXT ] , daylight_savings [ TEXT ] , latitude [ REAL ] , longitude [ REAL ] , elevation [ INTEGER ] , state_fips [ INTEGER ] , county_fips [ INTEGER ] , region [ TEXT ] , division [ TEXT ] , population_2020 [ INTEGER ] , population_2010 [ INTEGER ] , households [ INTEGER ] , avg_house_value [ INTEGER ] , avg_income_per_household [ INTEGER ] , persons_per_household [ REAL ] , white_population [ INTEGER ] , black_population [ INTEGER ] , hispanic_population [ INTEGER ] , asian_population [ INTEGER ] , american_indian_population [ INTEGER ] , hawaiian_population [ INTEGER ] , other_population [ INTEGER ] , male_population [ INTEGER ] , female_population [ INTEGER ] , median_age [ REAL ] , male_median_age [ REAL ] , female_median_age [ REAL ] , residential_mailboxes [ INTEGER ] , business_mailboxes [ INTEGER ] , total_delivery_receptacles [ INTEGER ] , businesses [ INTEGER ] , 1st_quarter_payroll [ INTEGER ] , annual_payroll [ INTEGER ] , employees [ INTEGER ] , water_area [ REAL ] , land_area [ REAL ] , single_family_delivery_units [ INTEGER ] , multi_family_delivery_units [ INTEGER ] , total_beneficiaries [ INTEGER ] , retired_workers [ INTEGER ] , disabled_workers [ INTEGER ] , parents_and_widowed [ INTEGER ] , spouses [ INTEGER ] , children [ INTEGER ] , over_65 [ INTEGER ] , monthly_benefits_all [ INTEGER ] , monthly_benefits_retired_workers [ INTEGER ] , monthly_benefits_widowed [ INTEGER ] , CBSA [ INTEGER ] zip_data.CBSA = CBSA.CBSA | alias : zip_code [ INTEGER ] primary_key alias.zip_code = zip_data.zip_code , alias [ TEXT ] | area_code : zip_code [ INTEGER ] area_code.zip_code = zip_data.zip_code , area_code [ INTEGER ] | avoid : zip_code [ INTEGER ] avoid.zip_code = zip_data.zip_code , bad_alias [ TEXT ] | country : zip_code [ INTEGER ] country.zip_code = zip_data.zip_code , county [ TEXT ] , state [ TEXT ] country.state = state.abbreviation | zip_congress : zip_code [ INTEGER ] zip_congress.zip_code = zip_data.zip_code , district [ TEXT ] zip_congress.district = congress.cognress_rep_id |
-- -- Please list the zip_codes of all the residential areas in Huntingdon county with over 30 employees.
| SELECT DISTINCT T1.zip_code FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T2.county = 'HUNTINGDON' AND T1.employees > 30; |
-- Database schema
| CBSA : CBSA [ INTEGER ] primary_key , CBSA_name [ TEXT ] , CBSA_type [ TEXT ] | state : abbreviation [ TEXT ] primary_key , name [ TEXT ] | congress : cognress_rep_id [ TEXT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , CID [ TEXT ] , party [ TEXT ] , state [ TEXT ] , abbreviation [ TEXT ] congress.abbreviation = state.abbreviation , House [ TEXT ] , District [ INTEGER ] , land_area [ REAL ] | zip_data : zip_code [ INTEGER ] primary_key , city [ TEXT ] , state [ TEXT ] zip_data.state = state.abbreviation , multi_county [ TEXT ] , type [ TEXT ] , organization [ TEXT ] , time_zone [ TEXT ] , daylight_savings [ TEXT ] , latitude [ REAL ] , longitude [ REAL ] , elevation [ INTEGER ] , state_fips [ INTEGER ] , county_fips [ INTEGER ] , region [ TEXT ] , division [ TEXT ] , population_2020 [ INTEGER ] , population_2010 [ INTEGER ] , households [ INTEGER ] , avg_house_value [ INTEGER ] , avg_income_per_household [ INTEGER ] , persons_per_household [ REAL ] , white_population [ INTEGER ] , black_population [ INTEGER ] , hispanic_population [ INTEGER ] , asian_population [ INTEGER ] , american_indian_population [ INTEGER ] , hawaiian_population [ INTEGER ] , other_population [ INTEGER ] , male_population [ INTEGER ] , female_population [ INTEGER ] , median_age [ REAL ] , male_median_age [ REAL ] , female_median_age [ REAL ] , residential_mailboxes [ INTEGER ] , business_mailboxes [ INTEGER ] , total_delivery_receptacles [ INTEGER ] , businesses [ INTEGER ] , 1st_quarter_payroll [ INTEGER ] , annual_payroll [ INTEGER ] , employees [ INTEGER ] , water_area [ REAL ] , land_area [ REAL ] , single_family_delivery_units [ INTEGER ] , multi_family_delivery_units [ INTEGER ] , total_beneficiaries [ INTEGER ] , retired_workers [ INTEGER ] , disabled_workers [ INTEGER ] , parents_and_widowed [ INTEGER ] , spouses [ INTEGER ] , children [ INTEGER ] , over_65 [ INTEGER ] , monthly_benefits_all [ INTEGER ] , monthly_benefits_retired_workers [ INTEGER ] , monthly_benefits_widowed [ INTEGER ] , CBSA [ INTEGER ] zip_data.CBSA = CBSA.CBSA | alias : zip_code [ INTEGER ] primary_key alias.zip_code = zip_data.zip_code , alias [ TEXT ] | area_code : zip_code [ INTEGER ] area_code.zip_code = zip_data.zip_code , area_code [ INTEGER ] | avoid : zip_code [ INTEGER ] avoid.zip_code = zip_data.zip_code , bad_alias [ TEXT ] | country : zip_code [ INTEGER ] country.zip_code = zip_data.zip_code , county [ TEXT ] , state [ TEXT ] country.state = state.abbreviation | zip_congress : zip_code [ INTEGER ] zip_congress.zip_code = zip_data.zip_code , district [ TEXT ] zip_congress.district = congress.cognress_rep_id |
-- -- Please list the Asian populations of all the residential areas with the bad alias "URB San Joaquin".
| SELECT SUM(T1.asian_population) FROM zip_data AS T1 INNER JOIN avoid AS T2 ON T1.zip_code = T2.zip_code WHERE T2.bad_alias = 'URB San Joaquin'; |
-- Database schema
| CBSA : CBSA [ INTEGER ] primary_key , CBSA_name [ TEXT ] , CBSA_type [ TEXT ] | state : abbreviation [ TEXT ] primary_key , name [ TEXT ] | congress : cognress_rep_id [ TEXT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , CID [ TEXT ] , party [ TEXT ] , state [ TEXT ] , abbreviation [ TEXT ] congress.abbreviation = state.abbreviation , House [ TEXT ] , District [ INTEGER ] , land_area [ REAL ] | zip_data : zip_code [ INTEGER ] primary_key , city [ TEXT ] , state [ TEXT ] zip_data.state = state.abbreviation , multi_county [ TEXT ] , type [ TEXT ] , organization [ TEXT ] , time_zone [ TEXT ] , daylight_savings [ TEXT ] , latitude [ REAL ] , longitude [ REAL ] , elevation [ INTEGER ] , state_fips [ INTEGER ] , county_fips [ INTEGER ] , region [ TEXT ] , division [ TEXT ] , population_2020 [ INTEGER ] , population_2010 [ INTEGER ] , households [ INTEGER ] , avg_house_value [ INTEGER ] , avg_income_per_household [ INTEGER ] , persons_per_household [ REAL ] , white_population [ INTEGER ] , black_population [ INTEGER ] , hispanic_population [ INTEGER ] , asian_population [ INTEGER ] , american_indian_population [ INTEGER ] , hawaiian_population [ INTEGER ] , other_population [ INTEGER ] , male_population [ INTEGER ] , female_population [ INTEGER ] , median_age [ REAL ] , male_median_age [ REAL ] , female_median_age [ REAL ] , residential_mailboxes [ INTEGER ] , business_mailboxes [ INTEGER ] , total_delivery_receptacles [ INTEGER ] , businesses [ INTEGER ] , 1st_quarter_payroll [ INTEGER ] , annual_payroll [ INTEGER ] , employees [ INTEGER ] , water_area [ REAL ] , land_area [ REAL ] , single_family_delivery_units [ INTEGER ] , multi_family_delivery_units [ INTEGER ] , total_beneficiaries [ INTEGER ] , retired_workers [ INTEGER ] , disabled_workers [ INTEGER ] , parents_and_widowed [ INTEGER ] , spouses [ INTEGER ] , children [ INTEGER ] , over_65 [ INTEGER ] , monthly_benefits_all [ INTEGER ] , monthly_benefits_retired_workers [ INTEGER ] , monthly_benefits_widowed [ INTEGER ] , CBSA [ INTEGER ] zip_data.CBSA = CBSA.CBSA | alias : zip_code [ INTEGER ] primary_key alias.zip_code = zip_data.zip_code , alias [ TEXT ] | area_code : zip_code [ INTEGER ] area_code.zip_code = zip_data.zip_code , area_code [ INTEGER ] | avoid : zip_code [ INTEGER ] avoid.zip_code = zip_data.zip_code , bad_alias [ TEXT ] | country : zip_code [ INTEGER ] country.zip_code = zip_data.zip_code , county [ TEXT ] , state [ TEXT ] country.state = state.abbreviation | zip_congress : zip_code [ INTEGER ] zip_congress.zip_code = zip_data.zip_code , district [ TEXT ] zip_congress.district = congress.cognress_rep_id |
-- -- Among the residential areas with the bad alias "Internal Revenue Service", how many of them are in the Eastern time zone?
| SELECT COUNT(T1.zip_code) FROM zip_data AS T1 INNER JOIN avoid AS T2 ON T1.zip_code = T2.zip_code WHERE T2.bad_alias = 'Internal Revenue Service' AND T1.time_zone = 'Eastern'; |
-- Database schema
| CBSA : CBSA [ INTEGER ] primary_key , CBSA_name [ TEXT ] , CBSA_type [ TEXT ] | state : abbreviation [ TEXT ] primary_key , name [ TEXT ] | congress : cognress_rep_id [ TEXT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , CID [ TEXT ] , party [ TEXT ] , state [ TEXT ] , abbreviation [ TEXT ] congress.abbreviation = state.abbreviation , House [ TEXT ] , District [ INTEGER ] , land_area [ REAL ] | zip_data : zip_code [ INTEGER ] primary_key , city [ TEXT ] , state [ TEXT ] zip_data.state = state.abbreviation , multi_county [ TEXT ] , type [ TEXT ] , organization [ TEXT ] , time_zone [ TEXT ] , daylight_savings [ TEXT ] , latitude [ REAL ] , longitude [ REAL ] , elevation [ INTEGER ] , state_fips [ INTEGER ] , county_fips [ INTEGER ] , region [ TEXT ] , division [ TEXT ] , population_2020 [ INTEGER ] , population_2010 [ INTEGER ] , households [ INTEGER ] , avg_house_value [ INTEGER ] , avg_income_per_household [ INTEGER ] , persons_per_household [ REAL ] , white_population [ INTEGER ] , black_population [ INTEGER ] , hispanic_population [ INTEGER ] , asian_population [ INTEGER ] , american_indian_population [ INTEGER ] , hawaiian_population [ INTEGER ] , other_population [ INTEGER ] , male_population [ INTEGER ] , female_population [ INTEGER ] , median_age [ REAL ] , male_median_age [ REAL ] , female_median_age [ REAL ] , residential_mailboxes [ INTEGER ] , business_mailboxes [ INTEGER ] , total_delivery_receptacles [ INTEGER ] , businesses [ INTEGER ] , 1st_quarter_payroll [ INTEGER ] , annual_payroll [ INTEGER ] , employees [ INTEGER ] , water_area [ REAL ] , land_area [ REAL ] , single_family_delivery_units [ INTEGER ] , multi_family_delivery_units [ INTEGER ] , total_beneficiaries [ INTEGER ] , retired_workers [ INTEGER ] , disabled_workers [ INTEGER ] , parents_and_widowed [ INTEGER ] , spouses [ INTEGER ] , children [ INTEGER ] , over_65 [ INTEGER ] , monthly_benefits_all [ INTEGER ] , monthly_benefits_retired_workers [ INTEGER ] , monthly_benefits_widowed [ INTEGER ] , CBSA [ INTEGER ] zip_data.CBSA = CBSA.CBSA | alias : zip_code [ INTEGER ] primary_key alias.zip_code = zip_data.zip_code , alias [ TEXT ] | area_code : zip_code [ INTEGER ] area_code.zip_code = zip_data.zip_code , area_code [ INTEGER ] | avoid : zip_code [ INTEGER ] avoid.zip_code = zip_data.zip_code , bad_alias [ TEXT ] | country : zip_code [ INTEGER ] country.zip_code = zip_data.zip_code , county [ TEXT ] , state [ TEXT ] country.state = state.abbreviation | zip_congress : zip_code [ INTEGER ] zip_congress.zip_code = zip_data.zip_code , district [ TEXT ] zip_congress.district = congress.cognress_rep_id |
-- -- What is the bad alias of the residential area with the highest average house value?
| SELECT T2.bad_alias FROM zip_data AS T1 INNER JOIN avoid AS T2 ON T1.zip_code = T2.zip_code WHERE T1.avg_house_value = ( SELECT MAX(avg_house_value) FROM zip_data ) LIMIT 1; |
-- Database schema
| CBSA : CBSA [ INTEGER ] primary_key , CBSA_name [ TEXT ] , CBSA_type [ TEXT ] | state : abbreviation [ TEXT ] primary_key , name [ TEXT ] | congress : cognress_rep_id [ TEXT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , CID [ TEXT ] , party [ TEXT ] , state [ TEXT ] , abbreviation [ TEXT ] congress.abbreviation = state.abbreviation , House [ TEXT ] , District [ INTEGER ] , land_area [ REAL ] | zip_data : zip_code [ INTEGER ] primary_key , city [ TEXT ] , state [ TEXT ] zip_data.state = state.abbreviation , multi_county [ TEXT ] , type [ TEXT ] , organization [ TEXT ] , time_zone [ TEXT ] , daylight_savings [ TEXT ] , latitude [ REAL ] , longitude [ REAL ] , elevation [ INTEGER ] , state_fips [ INTEGER ] , county_fips [ INTEGER ] , region [ TEXT ] , division [ TEXT ] , population_2020 [ INTEGER ] , population_2010 [ INTEGER ] , households [ INTEGER ] , avg_house_value [ INTEGER ] , avg_income_per_household [ INTEGER ] , persons_per_household [ REAL ] , white_population [ INTEGER ] , black_population [ INTEGER ] , hispanic_population [ INTEGER ] , asian_population [ INTEGER ] , american_indian_population [ INTEGER ] , hawaiian_population [ INTEGER ] , other_population [ INTEGER ] , male_population [ INTEGER ] , female_population [ INTEGER ] , median_age [ REAL ] , male_median_age [ REAL ] , female_median_age [ REAL ] , residential_mailboxes [ INTEGER ] , business_mailboxes [ INTEGER ] , total_delivery_receptacles [ INTEGER ] , businesses [ INTEGER ] , 1st_quarter_payroll [ INTEGER ] , annual_payroll [ INTEGER ] , employees [ INTEGER ] , water_area [ REAL ] , land_area [ REAL ] , single_family_delivery_units [ INTEGER ] , multi_family_delivery_units [ INTEGER ] , total_beneficiaries [ INTEGER ] , retired_workers [ INTEGER ] , disabled_workers [ INTEGER ] , parents_and_widowed [ INTEGER ] , spouses [ INTEGER ] , children [ INTEGER ] , over_65 [ INTEGER ] , monthly_benefits_all [ INTEGER ] , monthly_benefits_retired_workers [ INTEGER ] , monthly_benefits_widowed [ INTEGER ] , CBSA [ INTEGER ] zip_data.CBSA = CBSA.CBSA | alias : zip_code [ INTEGER ] primary_key alias.zip_code = zip_data.zip_code , alias [ TEXT ] | area_code : zip_code [ INTEGER ] area_code.zip_code = zip_data.zip_code , area_code [ INTEGER ] | avoid : zip_code [ INTEGER ] avoid.zip_code = zip_data.zip_code , bad_alias [ TEXT ] | country : zip_code [ INTEGER ] country.zip_code = zip_data.zip_code , county [ TEXT ] , state [ TEXT ] country.state = state.abbreviation | zip_congress : zip_code [ INTEGER ] zip_congress.zip_code = zip_data.zip_code , district [ TEXT ] zip_congress.district = congress.cognress_rep_id |
-- -- Please list the bad alias of all the residential areas with a median female age of over 32.
| SELECT DISTINCT T2.bad_alias FROM zip_data AS T1 INNER JOIN avoid AS T2 ON T1.zip_code = T2.zip_code WHERE T1.female_median_age > 32; |
-- Database schema
| CBSA : CBSA [ INTEGER ] primary_key , CBSA_name [ TEXT ] , CBSA_type [ TEXT ] | state : abbreviation [ TEXT ] primary_key , name [ TEXT ] | congress : cognress_rep_id [ TEXT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , CID [ TEXT ] , party [ TEXT ] , state [ TEXT ] , abbreviation [ TEXT ] congress.abbreviation = state.abbreviation , House [ TEXT ] , District [ INTEGER ] , land_area [ REAL ] | zip_data : zip_code [ INTEGER ] primary_key , city [ TEXT ] , state [ TEXT ] zip_data.state = state.abbreviation , multi_county [ TEXT ] , type [ TEXT ] , organization [ TEXT ] , time_zone [ TEXT ] , daylight_savings [ TEXT ] , latitude [ REAL ] , longitude [ REAL ] , elevation [ INTEGER ] , state_fips [ INTEGER ] , county_fips [ INTEGER ] , region [ TEXT ] , division [ TEXT ] , population_2020 [ INTEGER ] , population_2010 [ INTEGER ] , households [ INTEGER ] , avg_house_value [ INTEGER ] , avg_income_per_household [ INTEGER ] , persons_per_household [ REAL ] , white_population [ INTEGER ] , black_population [ INTEGER ] , hispanic_population [ INTEGER ] , asian_population [ INTEGER ] , american_indian_population [ INTEGER ] , hawaiian_population [ INTEGER ] , other_population [ INTEGER ] , male_population [ INTEGER ] , female_population [ INTEGER ] , median_age [ REAL ] , male_median_age [ REAL ] , female_median_age [ REAL ] , residential_mailboxes [ INTEGER ] , business_mailboxes [ INTEGER ] , total_delivery_receptacles [ INTEGER ] , businesses [ INTEGER ] , 1st_quarter_payroll [ INTEGER ] , annual_payroll [ INTEGER ] , employees [ INTEGER ] , water_area [ REAL ] , land_area [ REAL ] , single_family_delivery_units [ INTEGER ] , multi_family_delivery_units [ INTEGER ] , total_beneficiaries [ INTEGER ] , retired_workers [ INTEGER ] , disabled_workers [ INTEGER ] , parents_and_widowed [ INTEGER ] , spouses [ INTEGER ] , children [ INTEGER ] , over_65 [ INTEGER ] , monthly_benefits_all [ INTEGER ] , monthly_benefits_retired_workers [ INTEGER ] , monthly_benefits_widowed [ INTEGER ] , CBSA [ INTEGER ] zip_data.CBSA = CBSA.CBSA | alias : zip_code [ INTEGER ] primary_key alias.zip_code = zip_data.zip_code , alias [ TEXT ] | area_code : zip_code [ INTEGER ] area_code.zip_code = zip_data.zip_code , area_code [ INTEGER ] | avoid : zip_code [ INTEGER ] avoid.zip_code = zip_data.zip_code , bad_alias [ TEXT ] | country : zip_code [ INTEGER ] country.zip_code = zip_data.zip_code , county [ TEXT ] , state [ TEXT ] country.state = state.abbreviation | zip_congress : zip_code [ INTEGER ] zip_congress.zip_code = zip_data.zip_code , district [ TEXT ] zip_congress.district = congress.cognress_rep_id |
-- -- What is the highest gender ratio of the residential areas in Arecibo county?
| SELECT CAST(T1.male_population AS REAL) / T1.female_population FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T2.county = 'ARECIBO' AND T1.female_population <> 0 ORDER BY 1 DESC LIMIT 1; |
-- Database schema
| CBSA : CBSA [ INTEGER ] primary_key , CBSA_name [ TEXT ] , CBSA_type [ TEXT ] | state : abbreviation [ TEXT ] primary_key , name [ TEXT ] | congress : cognress_rep_id [ TEXT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , CID [ TEXT ] , party [ TEXT ] , state [ TEXT ] , abbreviation [ TEXT ] congress.abbreviation = state.abbreviation , House [ TEXT ] , District [ INTEGER ] , land_area [ REAL ] | zip_data : zip_code [ INTEGER ] primary_key , city [ TEXT ] , state [ TEXT ] zip_data.state = state.abbreviation , multi_county [ TEXT ] , type [ TEXT ] , organization [ TEXT ] , time_zone [ TEXT ] , daylight_savings [ TEXT ] , latitude [ REAL ] , longitude [ REAL ] , elevation [ INTEGER ] , state_fips [ INTEGER ] , county_fips [ INTEGER ] , region [ TEXT ] , division [ TEXT ] , population_2020 [ INTEGER ] , population_2010 [ INTEGER ] , households [ INTEGER ] , avg_house_value [ INTEGER ] , avg_income_per_household [ INTEGER ] , persons_per_household [ REAL ] , white_population [ INTEGER ] , black_population [ INTEGER ] , hispanic_population [ INTEGER ] , asian_population [ INTEGER ] , american_indian_population [ INTEGER ] , hawaiian_population [ INTEGER ] , other_population [ INTEGER ] , male_population [ INTEGER ] , female_population [ INTEGER ] , median_age [ REAL ] , male_median_age [ REAL ] , female_median_age [ REAL ] , residential_mailboxes [ INTEGER ] , business_mailboxes [ INTEGER ] , total_delivery_receptacles [ INTEGER ] , businesses [ INTEGER ] , 1st_quarter_payroll [ INTEGER ] , annual_payroll [ INTEGER ] , employees [ INTEGER ] , water_area [ REAL ] , land_area [ REAL ] , single_family_delivery_units [ INTEGER ] , multi_family_delivery_units [ INTEGER ] , total_beneficiaries [ INTEGER ] , retired_workers [ INTEGER ] , disabled_workers [ INTEGER ] , parents_and_widowed [ INTEGER ] , spouses [ INTEGER ] , children [ INTEGER ] , over_65 [ INTEGER ] , monthly_benefits_all [ INTEGER ] , monthly_benefits_retired_workers [ INTEGER ] , monthly_benefits_widowed [ INTEGER ] , CBSA [ INTEGER ] zip_data.CBSA = CBSA.CBSA | alias : zip_code [ INTEGER ] primary_key alias.zip_code = zip_data.zip_code , alias [ TEXT ] | area_code : zip_code [ INTEGER ] area_code.zip_code = zip_data.zip_code , area_code [ INTEGER ] | avoid : zip_code [ INTEGER ] avoid.zip_code = zip_data.zip_code , bad_alias [ TEXT ] | country : zip_code [ INTEGER ] country.zip_code = zip_data.zip_code , county [ TEXT ] , state [ TEXT ] country.state = state.abbreviation | zip_congress : zip_code [ INTEGER ] zip_congress.zip_code = zip_data.zip_code , district [ TEXT ] zip_congress.district = congress.cognress_rep_id |
-- -- What is the average median female age of all the residential areas in the Arecibo county?
| SELECT SUM(T1.female_median_age) / COUNT(T1.zip_code) FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T2.county = 'ARECIBO'; |
-- Database schema
| CBSA : CBSA [ INTEGER ] primary_key , CBSA_name [ TEXT ] , CBSA_type [ TEXT ] | state : abbreviation [ TEXT ] primary_key , name [ TEXT ] | congress : cognress_rep_id [ TEXT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , CID [ TEXT ] , party [ TEXT ] , state [ TEXT ] , abbreviation [ TEXT ] congress.abbreviation = state.abbreviation , House [ TEXT ] , District [ INTEGER ] , land_area [ REAL ] | zip_data : zip_code [ INTEGER ] primary_key , city [ TEXT ] , state [ TEXT ] zip_data.state = state.abbreviation , multi_county [ TEXT ] , type [ TEXT ] , organization [ TEXT ] , time_zone [ TEXT ] , daylight_savings [ TEXT ] , latitude [ REAL ] , longitude [ REAL ] , elevation [ INTEGER ] , state_fips [ INTEGER ] , county_fips [ INTEGER ] , region [ TEXT ] , division [ TEXT ] , population_2020 [ INTEGER ] , population_2010 [ INTEGER ] , households [ INTEGER ] , avg_house_value [ INTEGER ] , avg_income_per_household [ INTEGER ] , persons_per_household [ REAL ] , white_population [ INTEGER ] , black_population [ INTEGER ] , hispanic_population [ INTEGER ] , asian_population [ INTEGER ] , american_indian_population [ INTEGER ] , hawaiian_population [ INTEGER ] , other_population [ INTEGER ] , male_population [ INTEGER ] , female_population [ INTEGER ] , median_age [ REAL ] , male_median_age [ REAL ] , female_median_age [ REAL ] , residential_mailboxes [ INTEGER ] , business_mailboxes [ INTEGER ] , total_delivery_receptacles [ INTEGER ] , businesses [ INTEGER ] , 1st_quarter_payroll [ INTEGER ] , annual_payroll [ INTEGER ] , employees [ INTEGER ] , water_area [ REAL ] , land_area [ REAL ] , single_family_delivery_units [ INTEGER ] , multi_family_delivery_units [ INTEGER ] , total_beneficiaries [ INTEGER ] , retired_workers [ INTEGER ] , disabled_workers [ INTEGER ] , parents_and_widowed [ INTEGER ] , spouses [ INTEGER ] , children [ INTEGER ] , over_65 [ INTEGER ] , monthly_benefits_all [ INTEGER ] , monthly_benefits_retired_workers [ INTEGER ] , monthly_benefits_widowed [ INTEGER ] , CBSA [ INTEGER ] zip_data.CBSA = CBSA.CBSA | alias : zip_code [ INTEGER ] primary_key alias.zip_code = zip_data.zip_code , alias [ TEXT ] | area_code : zip_code [ INTEGER ] area_code.zip_code = zip_data.zip_code , area_code [ INTEGER ] | avoid : zip_code [ INTEGER ] avoid.zip_code = zip_data.zip_code , bad_alias [ TEXT ] | country : zip_code [ INTEGER ] country.zip_code = zip_data.zip_code , county [ TEXT ] , state [ TEXT ] country.state = state.abbreviation | zip_congress : zip_code [ INTEGER ] zip_congress.zip_code = zip_data.zip_code , district [ TEXT ] zip_congress.district = congress.cognress_rep_id |
-- -- What is the area code of the city with the female median age over 32 years old?
| SELECT T1.area_code FROM area_code AS T1 INNER JOIN ZIP_Data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.female_median_age > 32 GROUP BY T1.area_code; |
-- Database schema
| CBSA : CBSA [ INTEGER ] primary_key , CBSA_name [ TEXT ] , CBSA_type [ TEXT ] | state : abbreviation [ TEXT ] primary_key , name [ TEXT ] | congress : cognress_rep_id [ TEXT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , CID [ TEXT ] , party [ TEXT ] , state [ TEXT ] , abbreviation [ TEXT ] congress.abbreviation = state.abbreviation , House [ TEXT ] , District [ INTEGER ] , land_area [ REAL ] | zip_data : zip_code [ INTEGER ] primary_key , city [ TEXT ] , state [ TEXT ] zip_data.state = state.abbreviation , multi_county [ TEXT ] , type [ TEXT ] , organization [ TEXT ] , time_zone [ TEXT ] , daylight_savings [ TEXT ] , latitude [ REAL ] , longitude [ REAL ] , elevation [ INTEGER ] , state_fips [ INTEGER ] , county_fips [ INTEGER ] , region [ TEXT ] , division [ TEXT ] , population_2020 [ INTEGER ] , population_2010 [ INTEGER ] , households [ INTEGER ] , avg_house_value [ INTEGER ] , avg_income_per_household [ INTEGER ] , persons_per_household [ REAL ] , white_population [ INTEGER ] , black_population [ INTEGER ] , hispanic_population [ INTEGER ] , asian_population [ INTEGER ] , american_indian_population [ INTEGER ] , hawaiian_population [ INTEGER ] , other_population [ INTEGER ] , male_population [ INTEGER ] , female_population [ INTEGER ] , median_age [ REAL ] , male_median_age [ REAL ] , female_median_age [ REAL ] , residential_mailboxes [ INTEGER ] , business_mailboxes [ INTEGER ] , total_delivery_receptacles [ INTEGER ] , businesses [ INTEGER ] , 1st_quarter_payroll [ INTEGER ] , annual_payroll [ INTEGER ] , employees [ INTEGER ] , water_area [ REAL ] , land_area [ REAL ] , single_family_delivery_units [ INTEGER ] , multi_family_delivery_units [ INTEGER ] , total_beneficiaries [ INTEGER ] , retired_workers [ INTEGER ] , disabled_workers [ INTEGER ] , parents_and_widowed [ INTEGER ] , spouses [ INTEGER ] , children [ INTEGER ] , over_65 [ INTEGER ] , monthly_benefits_all [ INTEGER ] , monthly_benefits_retired_workers [ INTEGER ] , monthly_benefits_widowed [ INTEGER ] , CBSA [ INTEGER ] zip_data.CBSA = CBSA.CBSA | alias : zip_code [ INTEGER ] primary_key alias.zip_code = zip_data.zip_code , alias [ TEXT ] | area_code : zip_code [ INTEGER ] area_code.zip_code = zip_data.zip_code , area_code [ INTEGER ] | avoid : zip_code [ INTEGER ] avoid.zip_code = zip_data.zip_code , bad_alias [ TEXT ] | country : zip_code [ INTEGER ] country.zip_code = zip_data.zip_code , county [ TEXT ] , state [ TEXT ] country.state = state.abbreviation | zip_congress : zip_code [ INTEGER ] zip_congress.zip_code = zip_data.zip_code , district [ TEXT ] zip_congress.district = congress.cognress_rep_id |
-- -- What is the alias of the city called Hartford?
| SELECT DISTINCT T2.alias FROM zip_data AS T1 INNER JOIN alias AS T2 ON T1.zip_code = T2.zip_code WHERE T1.city = 'Hartford'; |
-- Database schema
| CBSA : CBSA [ INTEGER ] primary_key , CBSA_name [ TEXT ] , CBSA_type [ TEXT ] | state : abbreviation [ TEXT ] primary_key , name [ TEXT ] | congress : cognress_rep_id [ TEXT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , CID [ TEXT ] , party [ TEXT ] , state [ TEXT ] , abbreviation [ TEXT ] congress.abbreviation = state.abbreviation , House [ TEXT ] , District [ INTEGER ] , land_area [ REAL ] | zip_data : zip_code [ INTEGER ] primary_key , city [ TEXT ] , state [ TEXT ] zip_data.state = state.abbreviation , multi_county [ TEXT ] , type [ TEXT ] , organization [ TEXT ] , time_zone [ TEXT ] , daylight_savings [ TEXT ] , latitude [ REAL ] , longitude [ REAL ] , elevation [ INTEGER ] , state_fips [ INTEGER ] , county_fips [ INTEGER ] , region [ TEXT ] , division [ TEXT ] , population_2020 [ INTEGER ] , population_2010 [ INTEGER ] , households [ INTEGER ] , avg_house_value [ INTEGER ] , avg_income_per_household [ INTEGER ] , persons_per_household [ REAL ] , white_population [ INTEGER ] , black_population [ INTEGER ] , hispanic_population [ INTEGER ] , asian_population [ INTEGER ] , american_indian_population [ INTEGER ] , hawaiian_population [ INTEGER ] , other_population [ INTEGER ] , male_population [ INTEGER ] , female_population [ INTEGER ] , median_age [ REAL ] , male_median_age [ REAL ] , female_median_age [ REAL ] , residential_mailboxes [ INTEGER ] , business_mailboxes [ INTEGER ] , total_delivery_receptacles [ INTEGER ] , businesses [ INTEGER ] , 1st_quarter_payroll [ INTEGER ] , annual_payroll [ INTEGER ] , employees [ INTEGER ] , water_area [ REAL ] , land_area [ REAL ] , single_family_delivery_units [ INTEGER ] , multi_family_delivery_units [ INTEGER ] , total_beneficiaries [ INTEGER ] , retired_workers [ INTEGER ] , disabled_workers [ INTEGER ] , parents_and_widowed [ INTEGER ] , spouses [ INTEGER ] , children [ INTEGER ] , over_65 [ INTEGER ] , monthly_benefits_all [ INTEGER ] , monthly_benefits_retired_workers [ INTEGER ] , monthly_benefits_widowed [ INTEGER ] , CBSA [ INTEGER ] zip_data.CBSA = CBSA.CBSA | alias : zip_code [ INTEGER ] primary_key alias.zip_code = zip_data.zip_code , alias [ TEXT ] | area_code : zip_code [ INTEGER ] area_code.zip_code = zip_data.zip_code , area_code [ INTEGER ] | avoid : zip_code [ INTEGER ] avoid.zip_code = zip_data.zip_code , bad_alias [ TEXT ] | country : zip_code [ INTEGER ] country.zip_code = zip_data.zip_code , county [ TEXT ] , state [ TEXT ] country.state = state.abbreviation | zip_congress : zip_code [ INTEGER ] zip_congress.zip_code = zip_data.zip_code , district [ TEXT ] zip_congress.district = congress.cognress_rep_id |
-- -- How many counties are there in Alabama?
| SELECT COUNT(T2.county) FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'Alabama'; |
-- Database schema
| CBSA : CBSA [ INTEGER ] primary_key , CBSA_name [ TEXT ] , CBSA_type [ TEXT ] | state : abbreviation [ TEXT ] primary_key , name [ TEXT ] | congress : cognress_rep_id [ TEXT ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , CID [ TEXT ] , party [ TEXT ] , state [ TEXT ] , abbreviation [ TEXT ] congress.abbreviation = state.abbreviation , House [ TEXT ] , District [ INTEGER ] , land_area [ REAL ] | zip_data : zip_code [ INTEGER ] primary_key , city [ TEXT ] , state [ TEXT ] zip_data.state = state.abbreviation , multi_county [ TEXT ] , type [ TEXT ] , organization [ TEXT ] , time_zone [ TEXT ] , daylight_savings [ TEXT ] , latitude [ REAL ] , longitude [ REAL ] , elevation [ INTEGER ] , state_fips [ INTEGER ] , county_fips [ INTEGER ] , region [ TEXT ] , division [ TEXT ] , population_2020 [ INTEGER ] , population_2010 [ INTEGER ] , households [ INTEGER ] , avg_house_value [ INTEGER ] , avg_income_per_household [ INTEGER ] , persons_per_household [ REAL ] , white_population [ INTEGER ] , black_population [ INTEGER ] , hispanic_population [ INTEGER ] , asian_population [ INTEGER ] , american_indian_population [ INTEGER ] , hawaiian_population [ INTEGER ] , other_population [ INTEGER ] , male_population [ INTEGER ] , female_population [ INTEGER ] , median_age [ REAL ] , male_median_age [ REAL ] , female_median_age [ REAL ] , residential_mailboxes [ INTEGER ] , business_mailboxes [ INTEGER ] , total_delivery_receptacles [ INTEGER ] , businesses [ INTEGER ] , 1st_quarter_payroll [ INTEGER ] , annual_payroll [ INTEGER ] , employees [ INTEGER ] , water_area [ REAL ] , land_area [ REAL ] , single_family_delivery_units [ INTEGER ] , multi_family_delivery_units [ INTEGER ] , total_beneficiaries [ INTEGER ] , retired_workers [ INTEGER ] , disabled_workers [ INTEGER ] , parents_and_widowed [ INTEGER ] , spouses [ INTEGER ] , children [ INTEGER ] , over_65 [ INTEGER ] , monthly_benefits_all [ INTEGER ] , monthly_benefits_retired_workers [ INTEGER ] , monthly_benefits_widowed [ INTEGER ] , CBSA [ INTEGER ] zip_data.CBSA = CBSA.CBSA | alias : zip_code [ INTEGER ] primary_key alias.zip_code = zip_data.zip_code , alias [ TEXT ] | area_code : zip_code [ INTEGER ] area_code.zip_code = zip_data.zip_code , area_code [ INTEGER ] | avoid : zip_code [ INTEGER ] avoid.zip_code = zip_data.zip_code , bad_alias [ TEXT ] | country : zip_code [ INTEGER ] country.zip_code = zip_data.zip_code , county [ TEXT ] , state [ TEXT ] country.state = state.abbreviation | zip_congress : zip_code [ INTEGER ] zip_congress.zip_code = zip_data.zip_code , district [ TEXT ] zip_congress.district = congress.cognress_rep_id |
-- -- How many post offices are there in New York?
| SELECT COUNT(DISTINCT T2.zip_code) FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T1.abbreviation = 'NY' AND T2.type = 'Post Office'; |
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