context
stringlengths 11
9.12k
| question
stringlengths 0
1.06k
| SQL
stringlengths 2
4.44k
| source
stringclasses 28
values |
|---|---|---|---|
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Name both the alias and the bad alias of zip code 38015. | SELECT T1.alias, T2.bad_alias FROM alias AS T1 INNER JOIN avoid AS T2 ON T1.zip_code = T2.zip_code WHERE T1.zip_code = 38015 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What is the zip code of the district represented by Steven A King? | SELECT T2.zip_code FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.first_name = 'King' AND T1.last_name = 'Steven A' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What is the CBSA name and type in York, ME? | SELECT T1.CBSA_name, T1.CBSA_type FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T2.city = 'York' AND T2.state = 'ME' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | List 10 cities with a median age over 40. Include their zip codes and area codes. | SELECT T2.city, T2.zip_code, T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.median_age >= 40 LIMIT 10 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Name the county that has the bad alias of Druid Hills. | SELECT T2.county FROM avoid AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T1.bad_alias = 'Druid Hills' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What is the area code of Phillips county in Montana? | SELECT DISTINCT T1.area_code FROM area_code AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code INNER JOIN state AS T3 ON T2.state = T3.abbreviation WHERE T2.county = 'PHILLIPS' AND T3.name = 'Montana' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Which district has the largest land area in Wisconsin? Write the full name of the congress representative and include the postal codes. | SELECT T2.zip_code, T1.first_name, T1.last_name FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.state = 'Wisconsin' ORDER BY T1.land_area DESC LIMIT 1 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | How many states are in the central time zone? Write their full names. | SELECT SUM(CASE WHEN T1.time_zone = 'Central' THEN 1 ELSE 0 END) AS count FROM zip_data AS T1 INNER JOIN state AS T2 ON T2.abbreviation = T1.state WHERE T1.time_zone = 'Central' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Name 10 cities with their states that are under the Lexington-Fayette, KY office of the Canada Border Services Agency. | SELECT DISTINCT T2.city, T2.state FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'Lexington-Fayette, KY' LIMIT 10 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What is the percentage ratio between Democrats and Republicans in Indiana? List the zip codes belonging to Democrats. | SELECT CAST(COUNT(CASE WHEN T2.party = 'Democrat' THEN 1 ELSE NULL END) AS REAL) / COUNT(CASE WHEN T2.party = 'Republican' THEN 1 ELSE NULL END)FROM zip_congress AS T1 INNER JOIN congress AS T2 ON T2.cognress_rep_id = T1.district | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Calculate the ratio between the number of representatives in Alabama and the number of representatives in Illinois. | SELECT CAST(COUNT(CASE WHEN state = 'Alabama' THEN cognress_rep_id ELSE NULL END) AS REAL) / COUNT(CASE WHEN state = 'Illinois' THEN cognress_rep_id ELSE NULL END) FROM congress | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Calculate the average of 2020's population in each zip code. | SELECT CAST(SUM(population_2020) AS REAL) / COUNT(zip_code) FROM zip_data | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | State the male population for all zip code which were under the Berlin, NH CBSA. | SELECT T2.male_population FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'Berlin, NH' GROUP BY T2.male_population | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Which CBSAs have more than 10 zip codes? | SELECT T1.CBSA_name FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA GROUP BY T1.CBSA HAVING COUNT(T2.zip_code) > 10 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | List all the bad alias for zip codes in Puerto Rico. | SELECT T1.bad_alias FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.state = 'PR' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What is the longitude and latitude for the district represented by Grayson Alan? | SELECT T1.latitude, T1.longitude FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T3.first_name = 'Grayson' AND T3.last_name = 'Alan' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What is the state for area code of 787? | SELECT DISTINCT T2.state FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 787 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | List all representatives of districts which have more than 30 000 population in 2020. | SELECT T3.first_name, T3.last_name FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T1.population_2020 > 30000 GROUP BY T3.first_name, T3.last_name | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Which zip code in Massachusetts that have more than 1 area code? | SELECT T1.zip_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.state = 'MA' GROUP BY T1.zip_code HAVING COUNT(T1.area_code) > 1 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | State the county for Arecibo City. | SELECT DISTINCT T1.county FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Arecibo' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | How many zip codes are under Barre, VT? | SELECT COUNT(T2.zip_code) FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'Barre, VT' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Among the zip code under Saint Croix county, which zip code has the biggest land area? | SELECT T1.zip_code FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.county = 'SAINT CROIX' ORDER BY T2.land_area DESC LIMIT 1 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Calculate the difference between the 2020 population and the 2010 population for the districts represented by Griffin Tim. | SELECT T1.population_2020 - T1.population_2010 FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T3.first_name = 'Griffin' AND T3.last_name = 'Tim' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Based on the population in 2020, calculate the percentage for the population of Asian in the zip code where the CBSA was Atmore, AL. | SELECT CAST(T2.asian_population AS REAL) * 100 / T2.population_2010 FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'Atmore, AL' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Among the cities with an area code 939, which city has the highest Asian population? | SELECT T2.city FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 939 ORDER BY T2.asian_population DESC LIMIT 1 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Give the name of the country and state of the city with elevation of 1039. | SELECT DISTINCT T1.name, T2.state FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state INNER JOIN zip_data AS T3 ON T2.zip_code = T3.zip_code WHERE T3.elevation = 1039 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Provide the alias and elevation of the city with zip code 1028. | SELECT T1.alias, T2.elevation FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.zip_code = 1028 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What is the area code of the city with the largest land area? | SELECT T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.land_area = ( SELECT MAX(land_area) FROM zip_data ) | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Give the area code of the city with the white population ranging between 1700 to 2000. | SELECT T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.white_population BETWEEN 1700 AND 2000 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What is the Asian population in the city with the alias Leeds? | SELECT SUM(T2.asian_population) FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.alias = 'Leeds' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | List down the area code and country of the city named Savoy. | SELECT T1.area_code, T2.county FROM area_code AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code INNER JOIN zip_data AS T3 ON T1.zip_code = T3.zip_code WHERE T3.city = 'Savoy' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What are the alias of the cities with 0 population in 2010? | SELECT DISTINCT T1.alias FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.population_2010 = 0 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Among the cities with area code 608, how many cities implement daylight savings? | SELECT COUNT(T2.city) FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 608 AND T2.daylight_savings = 'Yes' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Provide the average elevation of the cities with alias Amherst. | SELECT AVG(T2.elevation) FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.alias = 'Amherst' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What is the country and state of the city named Dalton? | SELECT T2.county FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state INNER JOIN zip_data AS T3 ON T2.zip_code = T3.zip_code WHERE T3.city = 'Dalton' GROUP BY T2.county | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Give at least five alias of cities with a postal point of post office. | SELECT T1.alias FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.type = 'Post Office' LIMIT 5 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What is the difference in the number of cities with P.O. box only and cities with Post Office among the cities with area code 787? | SELECT COUNT(CASE WHEN T2.type = 'P.O. Box Only' THEN 1 ELSE NULL END) - COUNT(CASE WHEN T2.type = 'Post Office' THEN 1 ELSE NULL END) AS DIFFERENCE FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 787 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Among the cities belonging to the country named Arroyo, calculate the percentage of increase in the population in these cities from 2010 to 2020. | SELECT CAST((SUM(T2.population_2020) - SUM(T2.population_2010)) AS REAL) * 100 / SUM(T2.population_2010) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Arroyo' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Among the postal points in Texas, provide the zip codes and cities of postal points which have total beneficiaries of above 10000. | SELECT T2.zip_code, T2.city FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'Texas' AND T2.total_beneficiaries > 10000 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Among the postal points in the District of Columbia, how many of them have an area with above 20000 black population? | SELECT COUNT(T1.zip_code) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.county = 'DISTRICT OF COLUMBIA' AND T2.black_population > 20000 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Provide the city where zip code 19019 is located and the alias of that city. | SELECT T2.city, T1.alias FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.zip_code = 19019 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | List the bad alias of the postal point located in Camuy. | SELECT T1.bad_alias FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Camuy' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Provide the zip code, city, and congress representative's full names of the area which has highest population in 2020. | SELECT T1.zip_code, T1.city, T3.first_name, T3.last_name FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id GROUP BY T2.district ORDER BY T1.population_2020 DESC LIMIT 1 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Among the daylight savings areas in the Midwest region, how many postal points are there in Illinois? | SELECT COUNT(T2.zip_code) FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'Illinois' AND T2.daylight_savings = 'Yes' AND T2.region = 'Midwest' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Provide the countries and the zip codes in the Virgin Islands. | SELECT T2.county, T2.zip_code FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'Virgin Islands' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Provide the zip codes and the alias of Greeneville. | SELECT T2.zip_code, T1.alias FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Greeneville' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Compare the numbers of postal points under Smith Adrian and Heck Joe. | SELECT CASE WHEN COUNT(CASE WHEN T1.first_name = 'Smith' AND T1.last_name = 'Adrian' THEN T2.zip_code ELSE NULL END) > COUNT(CASE WHEN T1.first_name = 'Heck' AND T1.last_name = 'Joe' THEN T2.zip_code ELSE NULL END) THEN 'Smith Adrian>Heck Joe' ELSE 'Smith Adrian<=Heck Joe' END AS COMPARE FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Provide the zip codes and CBSA officers of the postal point in Oxford. | SELECT T2.zip_code, T1.CBSA_name FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T2.city = 'Oxford' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Provide the zip codes and their affiliated organization for the postal point under Kingsport-Bristol, TN-VA. | SELECT T2.zip_code, T2.organization FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'Kingsport-Bristol, TN-VA' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Provide the zip codes and the congress representatives' names of the postal points which are affiliated with Readers Digest. | SELECT T1.zip_code, T3.first_name, T3.last_name FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T1.organization = 'Readers Digest' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Among the postal points in California, calculate the percentage of them in post office types. | SELECT CAST(COUNT(CASE WHEN T2.type = 'Post Office' THEN T2.zip_code ELSE NULL END) AS REAL) * 100 / COUNT(T2.zip_code) FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'California' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What are the zip code for the Senate house? | SELECT T2.zip_code FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.House = 'House of Repsentatives' GROUP BY T2.zip_code | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Which city has the most bad aliases? | SELECT T2.city FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code GROUP BY T1.bad_alias ORDER BY COUNT(T1.zip_code) DESC LIMIT 1 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | List all the counties in Georgia. | SELECT T2.county FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'Georgia' GROUP BY T2.county | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | List all the locations of postal points with the area code "410". | SELECT T2.latitude, T2.longitude FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 410 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What is the name of the CBSA of the city with the highest average house value? | SELECT DISTINCT T1.CBSA_name FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T2.avg_house_value = ( SELECT MAX(avg_house_value) FROM zip_data ) LIMIT 1 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What are the bad aliases of the postal points from East Setauket? | SELECT T1.bad_alias FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'East Setauket' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What was the population of Wilcox County in 2010? | SELECT SUM(T2.population_2010) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.county = 'WILCOX' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What is the code of the area with the largest Asian population? | SELECT T1.zip_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.asian_population ORDER BY T2.asian_population DESC LIMIT 1 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | List all the cities with micro CBSA. | SELECT T2.city FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_type = 'Micro' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What is the name of the state with the most counties? | SELECT T1.name FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state GROUP BY T2.state ORDER BY COUNT(T2.county) DESC LIMIT 1 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What is the number of households in the "FL-10" district? | SELECT SUM(CASE WHEN T2.district = 'FL-10' THEN 1 ELSE 0 END) FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What is the average household income in the city known as "Danzig"? | SELECT T2.avg_income_per_household FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.bad_alias = 'Danzig' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What are the states with an above-average female population? | SELECT DISTINCT T2.state FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T2.female_population > ( SELECT AVG(female_population) FROM zip_data ) | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What percentage of households are in "Coroyell" out of its state? | SELECT CAST(SUM(CASE WHEN T1.county = 'CORYELL' THEN T2.households ELSE 0 END) AS REAL) * 100 / SUM(T2.households) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What is the name and the position of the CBSA officer in the city of Cabo Rojo? | SELECT T1.CBSA_name, T1.CBSA_type FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T2.city = 'Cabo Rojo' GROUP BY T1.CBSA_name, T1.CBSA_type | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Indicate the country name of the city Las Marias. | SELECT T1.county FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Las Marias' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | How many cities does congressman Pierluisi Pedro represent? | SELECT COUNT(DISTINCT T1.city) FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T3.first_name = 'Pierluisi' AND T3.last_name = 'Pedro' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Provide the names of bad aliases in the city of Aguadilla. | SELECT T1.bad_alias FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Aguadilla' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Indicate the name of the congressman represent in Guanica. | SELECT T3.first_name, T3.last_name FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T1.city = 'Guanica' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Which state has the most bad aliases? | SELECT T2.state FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.state ORDER BY COUNT(T1.bad_alias) DESC LIMIT 1 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What is the difference in the number of bad alias between Aguada city and Aguadilla city? | SELECT COUNT(CASE WHEN T2.city = 'Aguada' THEN T1.bad_alias ELSE NULL END) - COUNT(CASE WHEN T2.city = 'Aguadilla' THEN T1.bad_alias ELSE NULL END) AS DIFFERENCE FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Which state has greater than 50 CBSA officers of metro type? | SELECT T2.state FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_type = 'Metro' GROUP BY T2.state HAVING COUNT(T1.CBSA_type) > 50 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Provide the population of Arecibo in 2020. | SELECT SUM(T2.population_2020) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.county = 'ARECIBO' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Indicate the name of the country with a population greater than 10000 in 2010. | SELECT DISTINCT T1.county FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.population_2010 > 10000 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Name the country with the largest number of households in a residential area. | SELECT T1.county FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code GROUP BY T1.county ORDER BY T2.households DESC LIMIT 1 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Calculate the percentage of households in residential areas of countries over 10000. | SELECT CAST(COUNT(CASE WHEN T2.households > 10000 THEN T1.zip_code ELSE NULL END) AS REAL) * 100 / COUNT(T1.zip_code) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Among the types of postal points in Saint Croix, what percentage of postal points is the post office? | SELECT CAST(COUNT(CASE WHEN T2.type = 'Post Office' THEN T1.zip_code ELSE NULL END) AS REAL) * 100 / COUNT(T1.zip_code) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.county = 'SAINT CROIX' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Among the area code 787, list the country of the cities with a postal point type of unique postal office. | SELECT DISTINCT T2.county FROM area_code AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code INNER JOIN zip_data AS T3 ON T1.zip_code = T3.zip_code WHERE T1.area_code = '787' AND T3.type = 'Unique Post Office' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What is the elevation of the city with the alias East Longmeadow? | SELECT T2.elevation FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.alias = 'East Longmeadow' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | In cities that do not implement daylight savings, what is the total number of cities? | SELECT COUNT(T1.area_code) FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.daylight_savings = 'No' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Give the country and area code of the city with zip code 1116. | SELECT T2.county, T1.area_code FROM area_code AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T1.zip_code = 1116 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Among the cities with alias St Thomas, provide the type of postal point for each city. | SELECT DISTINCT T2.type FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.alias = 'St Thomas' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | List down the names of the cities belonging to Noble, Oklahoma. | SELECT T3.city FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state INNER JOIN zip_data AS T3 ON T2.zip_code = T3.zip_code WHERE T1.name = 'Oklahoma' AND T2.county = 'NOBLE' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Among the listed cities, provide the area code of the city with the largest water area. | SELECT T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.water_area = ( SELECT MAX(water_area) FROM zip_data ) | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Provide the alias of the city with the highest population in year 2020. | SELECT T1.alias FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.population_2020 = ( SELECT MAX(population_2020) FROM zip_data ) | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What is the elevation of the city belonging to Hampden, Massachusetts? | SELECT T3.elevation FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state INNER JOIN zip_data AS T3 ON T2.zip_code = T3.zip_code WHERE T1.name = 'Massachusetts' AND T2.county = 'HAMPDEN' GROUP BY T3.elevation | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | List the area code of the city with the highest Hispanic population. | SELECT T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.hispanic_population = ( SELECT MAX(hispanic_population) FROM zip_data ) | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Give the alias of the cities with an Asian population of 7. | SELECT T1.alias FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.asian_population = 7 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | What is the average of the white population in the cities with area code 920? | SELECT AVG(T2.white_population) FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 920 | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Among the cities with alias Ponce, what is the percentage of cities with a country level FIPS code of less than 20? | SELECT CAST(COUNT(CASE WHEN T2.county_fips < 20 THEN T2.zip_code ELSE NULL END) AS REAL) * 100 / COUNT(T2.zip_code) FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.alias = 'Ponce' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | List down the country of the cities with a population greater than 97% of the average population of all countries in 2020. | SELECT T1.county FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.population_2020 > 0.97 * ( SELECT AVG(population_2020) FROM zip_data ) | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Count the number of postal points in the district represented by Kirkpatrick Ann. | SELECT COUNT(T2.zip_code) FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.first_name = 'Kirkpatrick' AND T1.last_name = 'Ann' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Provide the zip codes and coordinates of the postal points under Allentown-Bethlehem-Easton, PA-NJ. | SELECT T2.zip_code, T2.latitude, T2.longitude FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'Allentown-Bethlehem-Easton, PA-NJ' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Provide the zip codes, cities, and locations of the postal points that have Shared Reshipper as a bad alias. | SELECT T1.zip_code, T2.city, T2.latitude, T2.longitude FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.bad_alias = 'Shared Reshipper' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Who are the congress representatives of the postal points in Garfield? | SELECT T3.first_name, T3.last_name FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T1.city = 'Garfield' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Count the number of postal points under New York-Newark-Jersey City, NY-NJ-PA. | SELECT COUNT(T2.zip_code) FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'New York-Newark-Jersey City, NY-NJ-PA' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | How many postal points are there under the congress representative in Puerto Rico? | SELECT COUNT(T2.zip_code) FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.state = 'Puerto Rico' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Describe the number of postal points and the countries in West Virginia. | SELECT COUNT(DISTINCT T2.zip_code), COUNT(DISTINCT T2.county) FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'West Virginia' | bird |
CREATE TABLE address (CBSA integer, CBSA_name text, CBSA_type text, abbreviation text, name text, cognress_rep_id text, first_name text, last_name text, CID text, party text, state text, abbreviation text, House text, District integer, land_area real, zip_code integer, city text, state text, 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_code integer, alias text, zip_code integer, area_code integer, zip_code integer, bad_alias text, zip_code integer, county text, state text, zip_code integer, district text) | Provide the zip codes and area codes of the postal points with the community post office type at the elevation above 6000. | SELECT T1.zip_code, T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.type = 'Community Post Office ' AND T2.elevation > 6000 | bird |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.