Population Data by Gender from 2019 Edition (pop19_gender) This dataset came from the SC Office of Revenue and Fiscal Affairs. It contains data for the Total, Male, and Female populations for each county. Population estimates from year 2000 to 2018 and population projections from 2019 to 2035 are included.

Usage

pop19_gender

Format

A data frame with columns:

FIPS: FIPS code of each county
County: Name of county
Year: Year of Projection/Estimate (2000-2035)
Type: Estimate or Projection
Gender: Male , Female or Total
Population: Population number

Examples

data(pop19_gender)
head(pop19_gender)
#> # A tibble: 6 × 6
#>   FIPS  County     Year Type     Gender Population
#>   <chr> <chr>     <int> <chr>    <chr>       <dbl>
#> 1 45001 Abbeville  2000 Estimate Total       26229
#> 2 45001 Abbeville  2001 Estimate Total       26330
#> 3 45001 Abbeville  2002 Estimate Total       26311
#> 4 45001 Abbeville  2003 Estimate Total       26306
#> 5 45001 Abbeville  2004 Estimate Total       26235
#> 6 45001 Abbeville  2005 Estimate Total       25995