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Massachusetts town-level population by sex and age group

ma_pop_data.Rd

A town-level population dataset for Massachusetts derived from the American Community Survey (ACS) 5-year estimates. Populations are aggregated by sex (Male, Female) and broad age groups (0–17, 18–64, 65 and older) for all Massachusetts cities and towns.

Usage

ma_pop_data

Format

A data frame with one row per town and the following variables:

TOWN20

Character. Name of the Massachusetts town

Male_0_17

Numeric. Estimated population of males aged 0–17 years.

Male_18_64

Numeric. Estimated population of males aged 18–64 years.

Male_65_plus

Numeric. Estimated population of males aged 65 years and older.

Female_0_17

Numeric. Estimated population of females aged 0–17 years.

Female_18_64

Numeric. Estimated population of females aged 18–64 years.

Female_65_plus

Numeric. Estimated population of females aged 65 years and older.

Source

U.S. Census Bureau, American Community Survey 5-Year Estimates.

Details

Geographic units correspond to Census county subdivisions (COUSUB), which align with cities and towns in New England states. This dataset includes all 351 Massachusetts cities and towns.

Population estimates are based on ACS table B01001 (Sex by Age) and were aggregated from Census age bins into three broad age groups commonly used in public health analyses. Estimates represent pooled 5-year ACS values and are subject to sampling error.

This dataset is suitable for use as denominators in rate calculations, age-stratified analyses, and small-area public health modeling in Massachusetts.

References

U.S. Census Bureau. American Community Survey 5-Year Data (ACS5). Sex by Age, Table B01001.

See also

get_acs

Examples

# View population totals for a single town
subset(ma_pop_data, TOWN20 == "BOSTON")
#> # A tibble: 1 × 7
#>   TOWN20 `Female_0-17` `Female_18-64` `Female_65+` `Male_0-17` `Male_18-64`
#>   <chr>          <dbl>          <dbl>        <dbl>       <dbl>        <dbl>
#> 1 BOSTON         50490         247351        47313       53784       232284
#> # ℹ 1 more variable: `Male_65+` <dbl>