-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.census_bureau_acs.congressionaldistrict_2018_5yr`
(
  geo_id STRING,
  do_date DATE,
  total_pop FLOAT64,
  households FLOAT64,
  male_pop FLOAT64,
  female_pop FLOAT64,
  median_age FLOAT64,
  male_under_5 FLOAT64,
  male_5_to_9 FLOAT64,
  male_10_to_14 FLOAT64,
  male_15_to_17 FLOAT64,
  male_18_to_19 FLOAT64,
  male_20 FLOAT64,
  male_21 FLOAT64,
  male_22_to_24 FLOAT64,
  male_25_to_29 FLOAT64,
  male_30_to_34 FLOAT64,
  male_35_to_39 FLOAT64,
  male_40_to_44 FLOAT64,
  male_45_to_49 FLOAT64,
  male_50_to_54 FLOAT64,
  male_55_to_59 FLOAT64,
  male_60_to_61 FLOAT64,
  male_62_to_64 FLOAT64,
  male_65_to_66 FLOAT64,
  male_67_to_69 FLOAT64,
  male_70_to_74 FLOAT64,
  male_75_to_79 FLOAT64,
  male_80_to_84 FLOAT64,
  male_85_and_over FLOAT64,
  female_under_5 FLOAT64,
  female_5_to_9 FLOAT64,
  female_10_to_14 FLOAT64,
  female_15_to_17 FLOAT64,
  female_18_to_19 FLOAT64,
  female_20 FLOAT64,
  female_21 FLOAT64,
  female_22_to_24 FLOAT64,
  female_25_to_29 FLOAT64,
  female_30_to_34 FLOAT64,
  female_35_to_39 FLOAT64,
  female_40_to_44 FLOAT64,
  female_45_to_49 FLOAT64,
  female_50_to_54 FLOAT64,
  female_55_to_59 FLOAT64,
  female_60_to_61 FLOAT64,
  female_62_to_64 FLOAT64,
  female_65_to_66 FLOAT64,
  female_67_to_69 FLOAT64,
  female_70_to_74 FLOAT64,
  female_75_to_79 FLOAT64,
  female_80_to_84 FLOAT64,
  female_85_and_over FLOAT64,
  white_pop FLOAT64,
  population_1_year_and_over FLOAT64,
  population_3_years_over FLOAT64,
  pop_5_years_over FLOAT64,
  pop_15_and_over FLOAT64,
  pop_16_over FLOAT64,
  pop_25_years_over FLOAT64,
  pop_25_64 FLOAT64,
  pop_never_married FLOAT64,
  pop_now_married FLOAT64,
  pop_separated FLOAT64,
  pop_widowed FLOAT64,
  pop_divorced FLOAT64,
  not_us_citizen_pop FLOAT64,
  black_pop FLOAT64,
  asian_pop FLOAT64,
  hispanic_pop FLOAT64,
  amerindian_pop FLOAT64,
  other_race_pop FLOAT64,
  two_or_more_races_pop FLOAT64,
  hispanic_any_race FLOAT64,
  not_hispanic_pop FLOAT64,
  asian_male_45_54 FLOAT64,
  asian_male_55_64 FLOAT64,
  black_male_45_54 FLOAT64,
  black_male_55_64 FLOAT64,
  hispanic_male_45_54 FLOAT64,
  hispanic_male_55_64 FLOAT64,
  white_male_45_54 FLOAT64,
  white_male_55_64 FLOAT64,
  median_income FLOAT64,
  income_per_capita FLOAT64,
  income_less_10000 FLOAT64,
  income_10000_14999 FLOAT64,
  income_15000_19999 FLOAT64,
  income_20000_24999 FLOAT64,
  income_25000_29999 FLOAT64,
  income_30000_34999 FLOAT64,
  income_35000_39999 FLOAT64,
  income_40000_44999 FLOAT64,
  income_45000_49999 FLOAT64,
  income_50000_59999 FLOAT64,
  income_60000_74999 FLOAT64,
  income_75000_99999 FLOAT64,
  income_100000_124999 FLOAT64,
  income_125000_149999 FLOAT64,
  income_150000_199999 FLOAT64,
  income_200000_or_more FLOAT64,
  pop_determined_poverty_status FLOAT64,
  poverty FLOAT64,
  gini_index FLOAT64,
  housing_units FLOAT64,
  renter_occupied_housing_units_paying_cash_median_gross_rent FLOAT64,
  owner_occupied_housing_units_lower_value_quartile FLOAT64,
  owner_occupied_housing_units_median_value FLOAT64,
  owner_occupied_housing_units_upper_value_quartile FLOAT64,
  occupied_housing_units FLOAT64,
  housing_units_renter_occupied FLOAT64,
  vacant_housing_units FLOAT64,
  vacant_housing_units_for_rent FLOAT64,
  vacant_housing_units_for_sale FLOAT64,
  dwellings_1_units_detached FLOAT64,
  dwellings_1_units_attached FLOAT64,
  dwellings_2_units FLOAT64,
  dwellings_3_to_4_units FLOAT64,
  dwellings_5_to_9_units FLOAT64,
  dwellings_10_to_19_units FLOAT64,
  dwellings_20_to_49_units FLOAT64,
  dwellings_50_or_more_units FLOAT64,
  mobile_homes FLOAT64,
  housing_built_2005_or_later FLOAT64,
  housing_built_2000_to_2004 FLOAT64,
  housing_built_1939_or_earlier FLOAT64,
  median_year_structure_built FLOAT64,
  married_households FLOAT64,
  nonfamily_households FLOAT64,
  family_households FLOAT64,
  households_public_asst_or_food_stamps FLOAT64,
  male_male_households FLOAT64,
  female_female_households FLOAT64,
  children FLOAT64,
  children_in_single_female_hh FLOAT64,
  median_rent FLOAT64,
  percent_income_spent_on_rent FLOAT64,
  rent_burden_not_computed FLOAT64,
  rent_over_50_percent FLOAT64,
  rent_40_to_50_percent FLOAT64,
  rent_35_to_40_percent FLOAT64,
  rent_30_to_35_percent FLOAT64,
  rent_25_to_30_percent FLOAT64,
  rent_20_to_25_percent FLOAT64,
  rent_15_to_20_percent FLOAT64,
  rent_10_to_15_percent FLOAT64,
  rent_under_10_percent FLOAT64,
  owner_occupied_housing_units FLOAT64,
  million_dollar_housing_units FLOAT64,
  mortgaged_housing_units FLOAT64,
  different_house_year_ago_different_city FLOAT64,
  different_house_year_ago_same_city FLOAT64,
  families_with_young_children FLOAT64,
  two_parent_families_with_young_children FLOAT64,
  two_parents_in_labor_force_families_with_young_children FLOAT64,
  two_parents_father_in_labor_force_families_with_young_children FLOAT64,
  two_parents_mother_in_labor_force_families_with_young_children FLOAT64,
  two_parents_not_in_labor_force_families_with_young_children FLOAT64,
  one_parent_families_with_young_children FLOAT64,
  father_one_parent_families_with_young_children FLOAT64,
  father_in_labor_force_one_parent_families_with_young_children FLOAT64,
  commute_less_10_mins FLOAT64,
  commute_10_14_mins FLOAT64,
  commute_15_19_mins FLOAT64,
  commute_20_24_mins FLOAT64,
  commute_25_29_mins FLOAT64,
  commute_30_34_mins FLOAT64,
  commute_35_44_mins FLOAT64,
  commute_60_more_mins FLOAT64,
  commute_45_59_mins FLOAT64,
  commuters_16_over FLOAT64,
  walked_to_work FLOAT64,
  worked_at_home FLOAT64,
  no_car FLOAT64,
  no_cars FLOAT64,
  one_car FLOAT64,
  two_cars FLOAT64,
  three_cars FLOAT64,
  four_more_cars FLOAT64,
  aggregate_travel_time_to_work FLOAT64,
  commuters_by_public_transportation FLOAT64,
  commuters_by_bus FLOAT64,
  commuters_by_car_truck_van FLOAT64,
  commuters_by_carpool FLOAT64,
  commuters_by_subway_or_elevated FLOAT64,
  commuters_drove_alone FLOAT64,
  group_quarters FLOAT64,
  associates_degree FLOAT64,
  bachelors_degree FLOAT64,
  high_school_diploma FLOAT64,
  less_one_year_college FLOAT64,
  masters_degree FLOAT64,
  one_year_more_college FLOAT64,
  less_than_high_school_graduate FLOAT64,
  high_school_including_ged FLOAT64,
  bachelors_degree_2 FLOAT64,
  bachelors_degree_or_higher_25_64 FLOAT64,
  graduate_professional_degree FLOAT64,
  some_college_and_associates_degree FLOAT64,
  male_45_64_associates_degree FLOAT64,
  male_45_64_bachelors_degree FLOAT64,
  male_45_64_graduate_degree FLOAT64,
  male_45_64_less_than_9_grade FLOAT64,
  male_45_64_grade_9_12 FLOAT64,
  male_45_64_high_school FLOAT64,
  male_45_64_some_college FLOAT64,
  male_45_to_64 FLOAT64,
  employed_pop FLOAT64,
  unemployed_pop FLOAT64,
  pop_in_labor_force FLOAT64,
  not_in_labor_force FLOAT64,
  workers_16_and_over FLOAT64,
  armed_forces FLOAT64,
  civilian_labor_force FLOAT64,
  employed_agriculture_forestry_fishing_hunting_mining FLOAT64,
  employed_arts_entertainment_recreation_accommodation_food FLOAT64,
  employed_construction FLOAT64,
  employed_education_health_social FLOAT64,
  employed_finance_insurance_real_estate FLOAT64,
  employed_information FLOAT64,
  employed_manufacturing FLOAT64,
  employed_other_services_not_public_admin FLOAT64,
  employed_public_administration FLOAT64,
  employed_retail_trade FLOAT64,
  employed_science_management_admin_waste FLOAT64,
  employed_transportation_warehousing_utilities FLOAT64,
  employed_wholesale_trade FLOAT64,
  occupation_management_arts FLOAT64,
  occupation_natural_resources_construction_maintenance FLOAT64,
  occupation_production_transportation_material FLOAT64,
  occupation_sales_office FLOAT64,
  occupation_services FLOAT64,
  management_business_sci_arts_employed FLOAT64,
  sales_office_employed FLOAT64,
  in_grades_1_to_4 FLOAT64,
  in_grades_5_to_8 FLOAT64,
  in_grades_9_to_12 FLOAT64,
  in_school FLOAT64,
  in_undergrad_college FLOAT64,
  speak_only_english_at_home FLOAT64,
  speak_spanish_at_home FLOAT64,
  speak_spanish_at_home_low_english FLOAT64
);

INSERT INTO `bigquery-public-data.census_bureau_acs.congressionaldistrict_2018_5yr` (geo_id, do_date, total_pop, households, male_pop, female_pop, median_age, male_under_5, male_5_to_9, male_10_to_14, male_15_to_17, male_18_to_19, male_20, male_21, male_22_to_24, male_25_to_29, male_30_to_34, male_35_to_39, male_40_to_44, male_45_to_49, male_50_to_54, male_55_to_59, male_60_to_61, male_62_to_64, male_65_to_66, male_67_to_69, male_70_to_74, male_75_to_79, male_80_to_84, male_85_and_over, female_under_5, female_5_to_9, female_10_to_14, female_15_to_17, female_18_to_19, female_20, female_21, female_22_to_24, female_25_to_29, female_30_to_34, female_35_to_39, female_40_to_44, female_45_to_49, female_50_to_54, female_55_to_59, female_60_to_61, female_62_to_64, female_65_to_66, female_67_to_69, female_70_to_74, female_75_to_79, female_80_to_84, female_85_and_over, white_pop, population_1_year_and_over, population_3_years_over, pop_5_years_over, pop_15_and_over, pop_16_over, pop_25_years_over, pop_25_64, pop_never_married, pop_now_married, pop_separated, pop_widowed, pop_divorced, not_us_citizen_pop, black_pop, asian_pop, hispanic_pop, amerindian_pop, other_race_pop, two_or_more_races_pop, hispanic_any_race, not_hispanic_pop, asian_male_45_54, asian_male_55_64, black_male_45_54, black_male_55_64, hispanic_male_45_54, hispanic_male_55_64, white_male_45_54, white_male_55_64, median_income, income_per_capita, income_less_10000, income_10000_14999, income_15000_19999, income_20000_24999, income_25000_29999, income_30000_34999, income_35000_39999, income_40000_44999, income_45000_49999, income_50000_59999, income_60000_74999, income_75000_99999, income_100000_124999, income_125000_149999, income_150000_199999, income_200000_or_more, pop_determined_poverty_status, poverty, gini_index, housing_units, renter_occupied_housing_units_paying_cash_median_gross_rent, owner_occupied_housing_units_lower_value_quartile, owner_occupied_housing_units_median_value, owner_occupied_housing_units_upper_value_quartile, occupied_housing_units, housing_units_renter_occupied, vacant_housing_units, vacant_housing_units_for_rent, vacant_housing_units_for_sale, dwellings_1_units_detached, dwellings_1_units_attached, dwellings_2_units, dwellings_3_to_4_units, dwellings_5_to_9_units, dwellings_10_to_19_units, dwellings_20_to_49_units, dwellings_50_or_more_units, mobile_homes, housing_built_2005_or_later, housing_built_2000_to_2004, housing_built_1939_or_earlier, median_year_structure_built, married_households, nonfamily_households, family_households, households_public_asst_or_food_stamps, male_male_households, female_female_households, children, children_in_single_female_hh, median_rent, percent_income_spent_on_rent, rent_burden_not_computed, rent_over_50_percent, rent_40_to_50_percent, rent_35_to_40_percent, rent_30_to_35_percent, rent_25_to_30_percent, rent_20_to_25_percent, rent_15_to_20_percent, rent_10_to_15_percent, rent_under_10_percent, owner_occupied_housing_units, million_dollar_housing_units, mortgaged_housing_units, different_house_year_ago_different_city, different_house_year_ago_same_city, families_with_young_children, two_parent_families_with_young_children, two_parents_in_labor_force_families_with_young_children, two_parents_father_in_labor_force_families_with_young_children, two_parents_mother_in_labor_force_families_with_young_children, two_parents_not_in_labor_force_families_with_young_children, one_parent_families_with_young_children, father_one_parent_families_with_young_children, father_in_labor_force_one_parent_families_with_young_children, commute_less_10_mins, commute_10_14_mins, commute_15_19_mins, commute_20_24_mins, commute_25_29_mins, commute_30_34_mins, commute_35_44_mins, commute_60_more_mins, commute_45_59_mins, commuters_16_over, walked_to_work, worked_at_home, no_car, no_cars, one_car, two_cars, three_cars, four_more_cars, aggregate_travel_time_to_work, commuters_by_public_transportation, commuters_by_bus, commuters_by_car_truck_van, commuters_by_carpool, commuters_by_subway_or_elevated, commuters_drove_alone, group_quarters, associates_degree, bachelors_degree, high_school_diploma, less_one_year_college, masters_degree, one_year_more_college, less_than_high_school_graduate, high_school_including_ged, bachelors_degree_2, bachelors_degree_or_higher_25_64, graduate_professional_degree, some_college_and_associates_degree, male_45_64_associates_degree, male_45_64_bachelors_degree, male_45_64_graduate_degree, male_45_64_less_than_9_grade, male_45_64_grade_9_12, male_45_64_high_school, male_45_64_some_college, male_45_to_64, employed_pop, unemployed_pop, pop_in_labor_force, not_in_labor_force, workers_16_and_over, armed_forces, civilian_labor_force, employed_agriculture_forestry_fishing_hunting_mining, employed_arts_entertainment_recreation_accommodation_food, employed_construction, employed_education_health_social, employed_finance_insurance_real_estate, employed_information, employed_manufacturing, employed_other_services_not_public_admin, employed_public_administration, employed_retail_trade, employed_science_management_admin_waste, employed_transportation_warehousing_utilities, employed_wholesale_trade, occupation_management_arts, occupation_natural_resources_construction_maintenance, occupation_production_transportation_material, occupation_sales_office, occupation_services, management_business_sci_arts_employed, sales_office_employed, in_grades_1_to_4, in_grades_5_to_8, in_grades_9_to_12, in_school, in_undergrad_college, speak_only_english_at_home, speak_spanish_at_home, speak_spanish_at_home_low_english) VALUES ('09ZZ', '2014-01-01', 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, 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