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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)
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Name both the alias and the bad alias of zip code 38015.
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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
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bird
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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)
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What is the zip code of the district represented by Steven A King?
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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'
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bird
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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)
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What is the CBSA name and type in York, ME?
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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'
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bird
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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)
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List 10 cities with a median age over 40. Include their zip codes and area codes.
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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
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bird
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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)
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Name the county that has the bad alias of Druid Hills.
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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'
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bird
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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)
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What is the area code of Phillips county in Montana?
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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'
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bird
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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)
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Which district has the largest land area in Wisconsin? Write the full name of the congress representative and include the postal codes.
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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
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bird
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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)
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How many states are in the central time zone? Write their full names.
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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'
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bird
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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)
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Name 10 cities with their states that are under the Lexington-Fayette, KY office of the Canada Border Services Agency.
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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
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bird
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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)
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What is the percentage ratio between Democrats and Republicans in Indiana? List the zip codes belonging to Democrats.
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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
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bird
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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)
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Calculate the ratio between the number of representatives in Alabama and the number of representatives in Illinois.
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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
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bird
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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)
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Calculate the average of 2020's population in each zip code.
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SELECT CAST(SUM(population_2020) AS REAL) / COUNT(zip_code) FROM zip_data
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bird
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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)
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State the male population for all zip code which were under the Berlin, NH CBSA.
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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
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bird
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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)
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Which CBSAs have more than 10 zip codes?
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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
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bird
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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)
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List all the bad alias for zip codes in Puerto Rico.
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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'
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bird
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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)
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What is the longitude and latitude for the district represented by Grayson Alan?
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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'
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bird
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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)
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What is the state for area code of 787?
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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
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bird
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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)
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List all representatives of districts which have more than 30 000 population in 2020.
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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
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bird
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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)
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Which zip code in Massachusetts that have more than 1 area code?
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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
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bird
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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)
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State the county for Arecibo City.
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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'
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bird
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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)
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How many zip codes are under Barre, VT?
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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'
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bird
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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)
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Among the zip code under Saint Croix county, which zip code has the biggest land area?
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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
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bird
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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)
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Calculate the difference between the 2020 population and the 2010 population for the districts represented by Griffin Tim.
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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'
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bird
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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)
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Based on the population in 2020, calculate the percentage for the population of Asian in the zip code where the CBSA was Atmore, AL.
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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'
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bird
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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)
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Among the cities with an area code 939, which city has the highest Asian population?
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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
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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)
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Give the name of the country and state of the city with elevation of 1039.
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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
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bird
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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)
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Provide the alias and elevation of the city with zip code 1028.
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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
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bird
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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)
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What is the area code of the city with the largest land area?
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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
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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)
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Give the area code of the city with the white population ranging between 1700 to 2000.
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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
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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)
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What is the Asian population in the city with the alias Leeds?
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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'
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bird
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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)
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List down the area code and country of the city named Savoy.
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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'
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bird
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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)
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What are the alias of the cities with 0 population in 2010?
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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
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bird
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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)
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Among the cities with area code 608, how many cities implement daylight savings?
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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'
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bird
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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)
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Provide the average elevation of the cities with alias Amherst.
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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'
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bird
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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)
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What is the country and state of the city named Dalton?
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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
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bird
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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)
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Give at least five alias of cities with a postal point of post office.
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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
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bird
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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)
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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?
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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
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bird
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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)
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Among the cities belonging to the country named Arroyo, calculate the percentage of increase in the population in these cities from 2010 to 2020.
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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'
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bird
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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)
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Among the postal points in Texas, provide the zip codes and cities of postal points which have total beneficiaries of above 10000.
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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
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bird
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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)
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Among the postal points in the District of Columbia, how many of them have an area with above 20000 black population?
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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
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bird
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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)
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Provide the city where zip code 19019 is located and the alias of that city.
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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
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bird
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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)
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List the bad alias of the postal point located in Camuy.
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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'
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bird
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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)
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Provide the zip code, city, and congress representative's full names of the area which has highest population in 2020.
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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
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bird
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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)
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Among the daylight savings areas in the Midwest region, how many postal points are there in Illinois?
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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'
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bird
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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)
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Provide the countries and the zip codes in the Virgin Islands.
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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'
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bird
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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)
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Provide the zip codes and the alias of Greeneville.
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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'
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bird
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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)
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Compare the numbers of postal points under Smith Adrian and Heck Joe.
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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
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bird
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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)
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Provide the zip codes and CBSA officers of the postal point in Oxford.
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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'
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bird
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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)
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Provide the zip codes and their affiliated organization for the postal point under Kingsport-Bristol, TN-VA.
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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'
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bird
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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)
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Provide the zip codes and the congress representatives' names of the postal points which are affiliated with Readers Digest.
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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'
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bird
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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)
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Among the postal points in California, calculate the percentage of them in post office types.
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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'
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bird
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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)
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What are the zip code for the Senate house?
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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
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bird
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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)
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Which city has the most bad aliases?
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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
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bird
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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)
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List all the counties in Georgia.
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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
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bird
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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)
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List all the locations of postal points with the area code "410".
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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
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bird
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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)
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What is the name of the CBSA of the city with the highest average house value?
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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
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bird
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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)
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What are the bad aliases of the postal points from East Setauket?
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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'
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bird
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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)
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What was the population of Wilcox County in 2010?
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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'
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bird
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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)
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What is the code of the area with the largest Asian population?
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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
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bird
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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)
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List all the cities with micro CBSA.
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SELECT T2.city FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_type = 'Micro'
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bird
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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)
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What is the name of the state with the most counties?
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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
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bird
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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)
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What is the number of households in the "FL-10" district?
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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
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bird
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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)
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What is the average household income in the city known as "Danzig"?
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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'
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bird
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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)
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What are the states with an above-average female population?
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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 )
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bird
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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)
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What percentage of households are in "Coroyell" out of its state?
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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
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bird
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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)
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What is the name and the position of the CBSA officer in the city of Cabo Rojo?
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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
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bird
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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)
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Indicate the country name of the city Las Marias.
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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'
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bird
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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)
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How many cities does congressman Pierluisi Pedro represent?
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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'
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bird
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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)
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Provide the names of bad aliases in the city of Aguadilla.
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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
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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)
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Indicate the name of the congressman represent in Guanica.
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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'
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bird
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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)
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Which state has the most bad aliases?
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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)
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What is the difference in the number of bad alias between Aguada city and Aguadilla city?
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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
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bird
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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)
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Which state has greater than 50 CBSA officers of metro type?
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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
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bird
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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)
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Provide the population of Arecibo in 2020.
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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)
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Indicate the name of the country with a population greater than 10000 in 2010.
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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
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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)
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Name the country with the largest number of households in a residential area.
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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
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bird
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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)
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Calculate the percentage of households in residential areas of countries over 10000.
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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
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bird
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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)
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Among the types of postal points in Saint Croix, what percentage of postal points is the post office?
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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'
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bird
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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)
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Among the area code 787, list the country of the cities with a postal point type of unique postal office.
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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'
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bird
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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)
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What is the elevation of the city with the alias East Longmeadow?
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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'
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bird
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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)
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In cities that do not implement daylight savings, what is the total number of cities?
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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'
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bird
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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)
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Give the country and area code of the city with zip code 1116.
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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
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bird
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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)
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Among the cities with alias St Thomas, provide the type of postal point for each city.
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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'
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bird
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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)
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List down the names of the cities belonging to Noble, Oklahoma.
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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'
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bird
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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)
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Among the listed cities, provide the area code of the city with the largest water area.
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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 )
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bird
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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)
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Provide the alias of the city with the highest population in year 2020.
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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
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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)
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What is the elevation of the city belonging to Hampden, Massachusetts?
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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
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bird
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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)
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List the area code of the city with the highest Hispanic population.
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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)
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Give the alias of the cities with an Asian population of 7.
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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)
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What is the average of the white population in the cities with area code 920?
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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
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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)
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Among the cities with alias Ponce, what is the percentage of cities with a country level FIPS code of less than 20?
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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'
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bird
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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)
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List down the country of the cities with a population greater than 97% of the average population of all countries in 2020.
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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 )
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bird
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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)
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Count the number of postal points in the district represented by Kirkpatrick Ann.
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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'
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bird
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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)
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Provide the zip codes and coordinates of the postal points under Allentown-Bethlehem-Easton, PA-NJ.
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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'
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bird
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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)
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Provide the zip codes, cities, and locations of the postal points that have Shared Reshipper as a bad alias.
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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'
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bird
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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)
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Who are the congress representatives of the postal points in Garfield?
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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'
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bird
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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)
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Count the number of postal points under New York-Newark-Jersey City, NY-NJ-PA.
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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'
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bird
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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)
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How many postal points are there under the congress representative in Puerto Rico?
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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'
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bird
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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)
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Describe the number of postal points and the countries in West Virginia.
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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'
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bird
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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)
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Provide the zip codes and area codes of the postal points with the community post office type at the elevation above 6000.
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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
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bird
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