About this Dataset

Maryland Senate Districts Socioeconomic Characteristics - ACS 5-year Estimates (2018-2022)

Source: U.S. Census Bureau, 2018-2022 American Community Survey 5-Year Estimates. The ACS 5-year period are period estimates that describe the average characteristics of the population and housing over the period of data collection (2018 through 2022). Data provides broad social, economics, housing, and demographics information by Maryland Senate Districts.
Organization: State of Maryland
Last updated: 2022-09-30T19:22:33.200778
Tags: acs, demographics, districts, legislative, maryland, senate, socioeconomics

Tables

Table 1

@usgov.state_of_maryland_maryland_senate_districts_socioecono_ea954d02.table_1

48.52 kB
47 rows
46 columns

CREATE TABLE table_1 (
  "date_created" TIMESTAMP,
  "senate_district" VARCHAR,
  "population_total" BIGINT,
  "population_male" BIGINT,
  "population_female" BIGINT,
  "voter_population_citizens_18_and_over" BIGINT,
  "race_white_alone" BIGINT,
  "race_black_alone" BIGINT,
  "race_asian_alone" BIGINT,
  "race_american_indian_alaskan_native" BIGINT,
  "race_native_hawaiian_pacific_islander" BIGINT,
  "race_some_other_race" BIGINT  -- RACE- Some Other Race,
  "race_two_or_more_races" BIGINT  -- RACE- Two Or More Races,
  "race_ethnicity_hispanic_or_latino" BIGINT  -- RACE/ETHNICITY -Hispanic Or Latino,
  "education_attainment_pop_25_years_and_over" BIGINT  -- EDUCATION ATTAINMENT- Pop. 25 Years And Over,
  "education_pct_less_than_9th_grade" DOUBLE  -- EDUCATION- Pct Less Than 9th Grade,
  "education_pct_high_school_no_diploma" DOUBLE,
  "education_pct_high_school_diploma" DOUBLE,
  "education_pct_some_college" DOUBLE,
  "education_pct_associate_s_degree" DOUBLE  -- EDUCATION- Pct Associate's Degree,
  "education_pct_bachelor_s_degree" DOUBLE,
  "education_pct_graduate_or_professional" BIGINT  -- EDUCATION- Pct Graduate Or Professional,
  "population_16_years_and_over" BIGINT,
  "labor_civilian_labor_force_clf" BIGINT  -- LABOR-Civilian Labor Force (CLF),
  "civilian_labor_force_employed" BIGINT  -- Civilian Labor Force -Employed,
  "civilian_labor_force_unemployed" BIGINT  -- Civilian Labor Force -Unemployed,
  "unemployment_rate" BIGINT,
  "commuters_16_years_and_over" BIGINT,
  "commuters_pct_drove_alone" DOUBLE  -- COMMUTERS- Pct Drove Alone,
  "commuters_pct_carpooled" DOUBLE,
  "commuters_pct_public_transportation" DOUBLE,
  "commuters_pct_walked" DOUBLE,
  "commuters_pct_other_means" DOUBLE,
  "commuters_pct_worked_at_home" BIGINT,
  "households_total" BIGINT,
  "household_income_median" BIGINT,
  "health_insurance_pct_civilian_pop_covered" BIGINT  -- HEALTH INSURANCE -Pct Civilian Pop. Covered,
  "families_total" DOUBLE,
  "pct_of_families_in_poverty" DOUBLE  -- Pct. Of FAMILIES In Poverty,
  "housing_total_units" BIGINT,
  "housing_occupied_units" BIGINT,
  "housing_pct_owner_occupied" DOUBLE,
  "housing_pct_renter_occupied" DOUBLE,
  "housing_vacant_units" BIGINT,
  "housing_homeowner_vacancy_rate" DOUBLE  -- HOUSING- Homeowner Vacancy Rate,
  "housing_rental_vacancy_rate" DOUBLE  -- HOUSING- Rental Vacancy Rate
);