2020 Census Block Groups Top 50 American Community Survey Data With Seattle Neighborhoods by US Government | Finance and Economics

About this Dataset

2020 Census Block Groups Top 50 American Community Survey Data With Seattle Neighborhoods

U.S. Census Bureau 2020 block groups within the City of Seattle with American Community Survey (ACS) 5-year series data of frequently requested topics. Data is pulled from block group tables for the most recent ACS vintage. Seattle neighborhood geography of Council Districts, Comprehensive Plan Growth Areas are also included based on block group assignment.

The census block groups have been assigned to a neighborhood based on the distribution of the total population from the 2020 decennial census for the component census blocks. If the majority of the population in the block group were inside the boundaries of the neighborhood, the block group was assigned wholly to that neighborhood.

Feature layer created for and used in the Neighborhood Profiles application.

The attribute data associated with this map is updated annually to contain the most currently released American Community Survey (ACS) 5-year data and contains estimates and margins of error. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right.

Vintages : 2023

ACS Table(s) : Select fields from the tables listed here.

Data downloaded from : Census Bureau's Explore Census Data

Tables

Table 1

@usgov.city_of_seattle_2020_census_block_groups_top_50_americ_5e02f184.table_1

334.24 KB
536 rows
133 columns


CREATE TABLE table_1 (
  "objectid" BIGINT,
  "geoid_20" BIGINT,
  "land_acres" DOUBLE,
  "water_acres" DOUBLE,
  "census_tract_number" BIGINT,
  "census_block_group" BIGINT,
  "census_tract_and_block_group" DOUBLE,
  "block_group_name" VARCHAR,
  "census_tract_label" DOUBLE,
  "council_district" BIGINT,
  "comprehensive_plan_growth_area" BIGINT,
  "comprehensive_plan_area_name" VARCHAR,
  "acs_vinatage" VARCHAR,
  "total_population" BIGINT,
  "children_under_5" BIGINT,
  "children_under_18" BIGINT,
  "older_adults_65_and_over" BIGINT,
  "median_age" DOUBLE,
  "male" BIGINT,
  "female" BIGINT,
  "not_hispanic_or_latino_white_alone" BIGINT,
  "not_hispanic_or_latino_black_or_african_american_alone" BIGINT,
  "not_hispanic_or_latino_american_indian_and_alaska_native_alone" BIGINT,
  "not_hispanic_or_latino_asian_alone" BIGINT,
  "not_hispanic_or_latino_native_hawaiian_and_other_pacif_4b4b9797" BIGINT,
  "not_hispanic_or_latino_some_other_race_alone" BIGINT,
  "not_hispanic_or_latino_two_or_more_races" BIGINT,
  "hispanic_or_latino_of_any_race" BIGINT,
  "people_of_color" BIGINT,
  "total_households" BIGINT,
  "family_households_families" BIGINT,
  "nonfamily_households" BIGINT,
  "householder_living_alone" BIGINT,
  "less_than_a_high_school_education" BIGINT,
  "bachelor_degree_or_higher" BIGINT,
  "workers_16_years_and_over" BIGINT,
  "worked_from_home" BIGINT,
  "car_truck_or_van_drove_alone" BIGINT,
  "public_transportation_excluding_taxicab" BIGINT,
  "no_vehicles_available" BIGINT,
  "travel_time_15_minutes" BIGINT,
  "travel_time_15_29_minutes" BIGINT,
  "travel_time_30_44_minutes" BIGINT,
  "travel_time_45_59_minutes" BIGINT,
  "travel_time_60_89_minutes" BIGINT,
  "travel_time_90_minutes" BIGINT,
  "total_housing_units" BIGINT,
  "n_1_unit_detached" BIGINT,
  "low_density_housing_1_unit_att_4_units" BIGINT,
  "medium_density_housing_5_49_units" BIGINT,
  "high_density_housing_50_units" BIGINT,
  "overcrowded_units_1_occupants_room" BIGINT,
  "no_bedroom" BIGINT,
  "n_1_bedroom" BIGINT,
  "n_2_bedrooms" BIGINT,
  "n_3_bedrooms" BIGINT,
  "n_4_bedrooms" BIGINT,
  "n_5_or_more_bedrooms" BIGINT,
  "population_18_years_and_over" BIGINT,
  "population_18_years_and_over_with_a_disability" BIGINT,
  "population_civilian_noninstitutionalized" BIGINT,
  "population_without_health_insurance" BIGINT,
  "population_5_years_and_over" BIGINT,
  "population_speaks_a_language_other_than_english" BIGINT,
  "population_speaks_english_less_than_very_well" BIGINT,
  "households_with_limited_english" BIGINT,
  "spanish_limited_english_speaking_households" BIGINT,
  "other_indo_european_languages_limited_english_speaking_2015bd1c" BIGINT,
  "asian_and_pacific_island_languages_limited_english_spe_316e53b6" BIGINT,
  "other_languages_limited_english_speaking_households" BIGINT,
  "owner_households" BIGINT,
  "renter_households" BIGINT,
  "gross_rent_30_or_more_of_household_income" BIGINT,
  "owner_housing_units_with_a_mortgage_where_selected_mon_a1b0cab7" BIGINT,
  "monthly_costs_30_or_more_of_household_income_owners_wi_fe885e5a" BIGINT,
  "population_25_years_and_over" BIGINT,
  "household_population" BIGINT,
  "family_household_population" BIGINT,
  "owner_household_population" BIGINT,
  "renter_household_population" BIGINT,
  "meidan_gross_rent" VARCHAR,
  "median_selected_monthly_owner_costs_for_households_wit_c07a5b92" VARCHAR,
  "per_capita_income" BIGINT,
  "median_household_income" VARCHAR,
  "median_earnings_males_worked_full_time_year_round" VARCHAR,
  "median_earnings_females_worked_full_time_year_round" VARCHAR,
  "household_income_100_000_or_more" BIGINT,
  "family_household_income_100_000_or_more" BIGINT,
  "nonfamily_household_income_100_000_or_more" BIGINT,
  "median_family_household_income" VARCHAR,
  "median_nonfamily_household_income" VARCHAR,
  "median_earnings_all_workers" BIGINT,
  "management_business_science_and_arts_occupations" BIGINT,
  "service_occupations" BIGINT,
  "sales_and_office_occupations" BIGINT,
  "natural_resources_construction_and_maintenance_occupations" BIGINT,
  "production_transportation_and_material_moving_occupations" BIGINT,
  "households_with_people_under_18_years" BIGINT,
  "households_with_people_65_years_and_over" BIGINT,
  "working_age_adults_to_64_years" BIGINT
);