A dataset containing indicators from the US Census Bureau's 2024 American Community Survey 5-year estimates. These are given for several geographic levels, including the US, the state of Maryland, and every county and census tract in Maryland.
Format
A data frame with 1486 rows and 41 variables:
- level
Factor. Geographic level (us, state, county, or tract).
- county
Character. Name of the county for tracts,
NAotherwise.- name
Character. The name of the geography, including FIPS codes for tracts.
- total_pop
Numeric. Total population.
- ages00_17
Numeric. Share of population ages 0-17.
- ages18_34
Numeric. Share of population ages 18-34.
- ages35_64
Numeric. Share of population ages 35-64.
- ages65plus
Numeric. Share of population ages 65 and over.
- white
Numeric. Share of population that is white.
- black
Numeric. Share of population that is Black.
- latino
Numeric. Share of population that is Latino.
- asian
Numeric. Share of population that is Asian.
- other_race
Numeric. Share of population that is of other race.
- diversity_idx
Numeric. Diversity index based on the preceding race/ethnicity columns. Uses Theil's H entropy.
- foreign_born
Numeric. Share of population that is foreign born.
- total_hh
Numeric. Total households.
- homeownership
Numeric. Homeownership rate.
- total_cost_burden
Numeric. Share of households that are cost burdened, based on HUD's standard that housing costs should be no more than 30% of a household's total income.
- total_severe_cost_burden
Numeric. Share of households that are severely cost burdened, or paying more than 50% of their income toward housing costs.
- owner_cost_burden
Numeric. Share of homeowners that are cost burdened.
- owner_severe_cost_burden
Numeric. Share of homeowners that are severely cost burdened.
- renter_cost_burden
Numeric. Share of renters that are cost burdened.
- renter_severe_cost_burden
Numeric. Share of renters that are severely cost burdened
- no_vehicle_hh
Numeric. Share of households without a vehicle.
- median_hh_income
Numeric. Median household income in 2024 dollars.
- ages25plus
Numeric. Population aged 25 and over.
- less_than_high_school
Numeric. Share of population aged 25 and over with less than a high school diploma.
- high_school_grad
Numeric. Share of population aged 25 and over with a high school diploma.
- some_college_or_aa
Numeric. Share of population aged 25 and over with some college or an associate degree.
- bachelors
Numeric. Share of population aged 25 and over with a bachelor's degree.
- grad_degree
Numeric. Share of population aged 25 and over with a graduate degree.
- pov_status_determined
Numeric. Population for whom poverty status is determined.
- poverty
Numeric. Poverty rate, or the share of the population for whom poverty status is determined that lives in a household with income below the federal poverty level.
- low_income
Numeric. Low-income rate, or the share of the population for whom poverty status is determined that lives in a household with income below 2 times the federal poverty level.
- total_housing_units
Numeric. Number of housing units, including vacants.
- total_vacant_units
Numeric. Share of housing units that are vacant for whatever reason.
- units_for_rent
Numeric. Share of housing units that are vacant and for rent.
- units_for_sale
Numeric. Share of housing units that are vacant and for sale.
- seasonal_units
Numeric. Share of housing units that are empty and for seasonal use.
- area_sqmi
Numeric. Land area in square miles.
- pop_density
Numeric. Population per square mile.
Source
Calculated from US Census Bureau. American Community Survey 2024 5-year estimates. Calculated by Camille with the tidycensus and cwi packages.
Examples
head(acs)
#> # A tibble: 6 × 41
#> level county name total_pop ages00_17 ages18_34 ages35_64 ages65plus white
#> <fct> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 us NA United… 334922499 0.22 0.23 0.38 0.17 0.57
#> 2 state NA Maryla… 6206011 0.22 0.22 0.39 0.17 0.47
#> 3 county NA Allega… 67452 0.18 0.24 0.37 0.21 0.86
#> 4 county NA Anne A… 598166 0.22 0.22 0.4 0.16 0.62
#> 5 county NA Baltim… 850796 0.22 0.22 0.38 0.18 0.51
#> 6 county NA Baltim… 573243 0.21 0.27 0.37 0.15 0.26
#> # ℹ 32 more variables: black <dbl>, latino <dbl>, asian <dbl>,
#> # other_race <dbl>, diversity_idx <dbl>, foreign_born <dbl>, total_hh <dbl>,
#> # homeownership <dbl>, total_cost_burden <dbl>,
#> # total_severe_cost_burden <dbl>, owner_cost_burden <dbl>,
#> # owner_severe_cost_burden <dbl>, renter_cost_burden <dbl>,
#> # renter_severe_cost_burden <dbl>, no_vehicle_hh <dbl>,
#> # median_hh_income <dbl>, ages25plus <dbl>, less_than_high_school <dbl>, …