-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.census_bureau_acs.schooldistrictunified_2010_1yr`
(
  geo_id STRING,
  nonfamily_households FLOAT64,
  family_households FLOAT64,
  median_year_structure_built 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,
  total_pop FLOAT64,
  male_pop FLOAT64,
  female_pop FLOAT64,
  median_age FLOAT64,
  white_pop FLOAT64,
  black_pop FLOAT64,
  asian_pop FLOAT64,
  hispanic_pop FLOAT64,
  amerindian_pop FLOAT64,
  other_race_pop FLOAT64,
  two_or_more_races_pop FLOAT64,
  not_hispanic_pop FLOAT64,
  commuters_by_public_transportation FLOAT64,
  households FLOAT64,
  median_income FLOAT64,
  income_per_capita FLOAT64,
  housing_units FLOAT64,
  vacant_housing_units FLOAT64,
  vacant_housing_units_for_rent FLOAT64,
  vacant_housing_units_for_sale FLOAT64,
  median_rent FLOAT64,
  percent_income_spent_on_rent FLOAT64,
  owner_occupied_housing_units FLOAT64,
  million_dollar_housing_units FLOAT64,
  mortgaged_housing_units 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_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_45_59_mins FLOAT64,
  aggregate_travel_time_to_work 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,
  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,
  married_households FLOAT64,
  occupied_housing_units FLOAT64,
  housing_units_renter_occupied 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,
  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_61 FLOAT64,
  male_62_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_including_hispanic FLOAT64,
  black_including_hispanic FLOAT64,
  amerindian_including_hispanic FLOAT64,
  asian_including_hispanic FLOAT64,
  commute_5_9_mins FLOAT64,
  commute_35_39_mins FLOAT64,
  commute_40_44_mins FLOAT64,
  commute_60_89_mins FLOAT64,
  commute_90_more_mins FLOAT64,
  households_retirement_income 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,
  bachelors_degree_2 FLOAT64,
  bachelors_degree_or_higher_25_64 FLOAT64,
  children FLOAT64,
  children_in_single_female_hh 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,
  different_house_year_ago_different_city FLOAT64,
  different_house_year_ago_same_city 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,
  female_female_households FLOAT64,
  four_more_cars FLOAT64,
  gini_index FLOAT64,
  graduate_professional_degree FLOAT64,
  group_quarters FLOAT64,
  high_school_including_ged FLOAT64,
  households_public_asst_or_food_stamps 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,
  less_than_high_school_graduate 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,
  male_male_households FLOAT64,
  management_business_sci_arts_employed FLOAT64,
  no_car FLOAT64,
  no_cars FLOAT64,
  not_us_citizen_pop FLOAT64,
  occupation_management_arts FLOAT64,
  occupation_natural_resources_construction_maintenance FLOAT64,
  occupation_production_transportation_material FLOAT64,
  occupation_sales_office FLOAT64,
  occupation_services FLOAT64,
  one_car FLOAT64,
  two_cars FLOAT64,
  three_cars FLOAT64,
  pop_25_64 FLOAT64,
  pop_determined_poverty_status FLOAT64,
  population_1_year_and_over FLOAT64,
  population_3_years_over FLOAT64,
  poverty FLOAT64,
  sales_office_employed FLOAT64,
  some_college_and_associates_degree FLOAT64,
  walked_to_work FLOAT64,
  worked_at_home FLOAT64,
  workers_16_and_over FLOAT64,
  associates_degree FLOAT64,
  bachelors_degree FLOAT64,
  high_school_diploma FLOAT64,
  less_one_year_college FLOAT64,
  masters_degree FLOAT64,
  one_year_more_college FLOAT64,
  pop_25_years_over FLOAT64,
  pop_15_and_over FLOAT64,
  pop_never_married FLOAT64,
  pop_now_married FLOAT64,
  pop_separated FLOAT64,
  pop_widowed FLOAT64,
  pop_divorced FLOAT64,
  do_date STRING
)
OPTIONS(
  labels=[("freebqcovid", "freebqcovid")]
);

INSERT INTO `bigquery-public-data.census_bureau_acs.schooldistrictunified_2010_1yr` (geo_id, nonfamily_households, family_households, median_year_structure_built, 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, total_pop, male_pop, female_pop, median_age, white_pop, black_pop, asian_pop, hispanic_pop, amerindian_pop, other_race_pop, two_or_more_races_pop, not_hispanic_pop, commuters_by_public_transportation, households, median_income, income_per_capita, housing_units, vacant_housing_units, vacant_housing_units_for_rent, vacant_housing_units_for_sale, median_rent, percent_income_spent_on_rent, owner_occupied_housing_units, million_dollar_housing_units, mortgaged_housing_units, 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_10_14_mins, commute_15_19_mins, commute_20_24_mins, commute_25_29_mins, commute_30_34_mins, commute_45_59_mins, aggregate_travel_time_to_work, 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, 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, married_households, occupied_housing_units, housing_units_renter_occupied, 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, 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_61, male_62_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_including_hispanic, black_including_hispanic, amerindian_including_hispanic, asian_including_hispanic, commute_5_9_mins, commute_35_39_mins, commute_40_44_mins, commute_60_89_mins, commute_90_more_mins, households_retirement_income, 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, bachelors_degree_2, bachelors_degree_or_higher_25_64, children, children_in_single_female_hh, commuters_by_bus, commuters_by_car_truck_van, commuters_by_carpool, commuters_by_subway_or_elevated, commuters_drove_alone, different_house_year_ago_different_city, different_house_year_ago_same_city, 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, female_female_households, four_more_cars, gini_index, graduate_professional_degree, group_quarters, high_school_including_ged, households_public_asst_or_food_stamps, in_grades_1_to_4, in_grades_5_to_8, in_grades_9_to_12, in_school, in_undergrad_college, less_than_high_school_graduate, 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, male_male_households, management_business_sci_arts_employed, no_car, no_cars, not_us_citizen_pop, occupation_management_arts, occupation_natural_resources_construction_maintenance, occupation_production_transportation_material, occupation_sales_office, occupation_services, one_car, two_cars, three_cars, pop_25_64, pop_determined_poverty_status, population_1_year_and_over, population_3_years_over, poverty, sales_office_employed, some_college_and_associates_degree, walked_to_work, worked_at_home, workers_16_and_over, associates_degree, bachelors_degree, high_school_diploma, less_one_year_college, masters_degree, one_year_more_college, pop_25_years_over, pop_15_and_over, pop_never_married, pop_now_married, pop_separated, pop_widowed, pop_divorced, do_date) VALUES ('5303540', 18559.0, 30032.0, 1968.0, 1128.0, 5973.0, 2365.0, 1450.0, 2539.0, 2574.0, 2540.0, 1898.0, 881.0, 189.0, 129087.0, 68102.0, 60985.0, 36.6, 63546.0, 13778.0, 14273.0, 26835.0, 1717.0, 126.0, 5309.0, 102252.0, 4663.0, 48591.0, 48221.0, 24178.0, 52199.0, 3608.0, nan, nan, 791.0, 34.2, 27054.0, 523.0, 17921.0, 10991.0, 7007.0, 2656.0, 4018.0, 278.0, 55.0, 3984.0, 851.0, 851.0, 7300.0, 9151.0, 8759.0, 3430.0, 8039.0, 3134.0, 1300530.0, 3207.0, 3047.0, 2326.0, 3373.0, 2802.0, 2484.0, 2782.0, 2558.0, 2295.0, 4975.0, 5039.0, 4963.0, 3627.0, 2104.0, 2093.0, 916.0, 910.0, 207600.0, 272700.0, 377100.0, 19903.0, 48591.0, 21537.0, 30655.0, 970.0, 1100.0, 1951.0, 3494.0, 5090.0, 3805.0, 3314.0, 1674.0, 2018.0, 1260.0, 3119.0, 4740.0, 4214.0, 4713.0, 2919.0, 1405.0, 595.0, 1446.0, 3510.0, 6083.0, 5026.0, 5149.0, 4356.0, 4155.0, 4819.0, 4116.0, 1424.0, 1390.0, 1421.0, 1408.0, 1769.0, 1243.0, 1136.0, 1065.0, 4619.0, 3420.0, 3460.0, 1971.0, 1187.0, 724.0, 813.0, 1666.0, 4368.0, 4952.0, 4305.0, 3590.0, 4326.0, 5799.0, 3263.0, 1385.0, 2220.0, 494.0, 1382.0, 2352.0, 1883.0, 1157.0, 1649.0, 80266.0, 14159.0, 1784.0, 14273.0, 4323.0, 1265.0, 1703.0, 3355.0, 920.0, 9457.0, 1106.0, 579.0, 846.0, 885.0, 709.0, 1093.0, 5805.0, 4012.0, 10944.0, 13478.0, 30056.0, 9959.0, 4540.0, 46391.0, 6590.0, 123.0, 39801.0, 17138.0, 2742.0, 46.0, 7692.0, 3429.0, 9493.0, 3016.0, 806.0, 8355.0, 2031.0, 1880.0, 6015.0, 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