ACS Estimates — get_acs_recs • psrccensus

Generate ACS estimates for multiple tables by tracts, counties, MSAs, or places for multiple years.

Usage

get_acs_recs(
  geography,
  state = "Washington",
  counties = c("King", "Kitsap", "Pierce", "Snohomish"),
  table.names,
  years,
  FIPS = c("14740", "42660"),
  place_FIPS = NULL,
  acs.type
)

Arguments

geography: A character string as either 'tract', 'county', 'msa', or 'place'.
state: A character string state name or abbreviation. Defaults to Washington.
counties: A character string or vector of counties. Defaults to PSRC counties.
table.names: A character string or vector of Census table codes.
years: A numeric value or vector of years. An ACS year equal or greater than 2010 to the latest available year.
FIPS: Character string for FIPS codes for specific MSA geographies. Defaults to Seattle & Bremerton MSA c("14740","42660")
place_FIPS: Character string of FIPS codes (with state prefix) for specific Census Places. If NULL, Places within the PSRC Region will be returned.
acs.type: A character string as either 'acs1', 'acs3' or acs5'.

Value

a tibble of ACS estimates by selected geography for selected table codes. Includes variable names.

Author

Craig Helmann

Examples

get_acs_recs(geography = 'county',
             table.names = c('B03002'),
             years=c(2017,2019),
             acs.type = 'acs1')
#> Getting data from the 2017 1-year ACS
#> The 1-year ACS provides data for geographies with populations of 65,000 and greater.
#> Loading ACS1 variables for 2017 from table B03002. To cache this dataset for faster access to ACS tables in the future, run this function with `cache_table = TRUE`. You only need to do this once per ACS dataset.
#> Using FIPS code '53' for state 'Washington'
#> Using FIPS code '033' for 'King County'
#> Using FIPS code '035' for 'Kitsap County'
#> Using FIPS code '053' for 'Pierce County'
#> Using FIPS code '061' for 'Snohomish County'
#> Getting data from the 2019 1-year ACS
#> The 1-year ACS provides data for geographies with populations of 65,000 and greater.
#> Loading ACS1 variables for 2019 from table B03002. To cache this dataset for faster access to ACS tables in the future, run this function with `cache_table = TRUE`. You only need to do this once per ACS dataset.
#> Using FIPS code '53' for state 'Washington'
#> Using FIPS code '033' for 'King County'
#> Using FIPS code '035' for 'Kitsap County'
#> Using FIPS code '053' for 'Pierce County'
#> Using FIPS code '061' for 'Snohomish County'
#> # A tibble: 210 × 14
#>    GEOID name       state variable estimate   moe label concept census_geography
#>    <chr> <chr>      <chr> <chr>       <dbl> <dbl> <chr> <chr>   <chr>           
#>  1 53033 King Coun… Wash… B03002_…  2188649    NA Esti… HISPAN… County          
#>  2 53033 King Coun… Wash… B03002_…  1976237    NA Esti… HISPAN… County          
#>  3 53033 King Coun… Wash… B03002_…  1309568  1385 Esti… HISPAN… County          
#>  4 53033 King Coun… Wash… B03002_…   133498  5330 Esti… HISPAN… County          
#>  5 53033 King Coun… Wash… B03002_…     8058  1683 Esti… HISPAN… County          
#>  6 53033 King Coun… Wash… B03002_…   379302  5696 Esti… HISPAN… County          
#>  7 53033 King Coun… Wash… B03002_…    16765  1987 Esti… HISPAN… County          
#>  8 53033 King Coun… Wash… B03002_…     7055  2296 Esti… HISPAN… County          
#>  9 53033 King Coun… Wash… B03002_…   121991  8954 Esti… HISPAN… County          
#> 10 53033 King Coun… Wash… B03002_…     3853  1480 Esti… HISPAN… County          
#> # ℹ 200 more rows
#> # ℹ 5 more variables: acs_type <chr>, year <dbl>, se <dbl>, cv <dbl>,
#> #   reliability <chr>

get_acs_recs(geography = 'county',
             table.names = c("C17002"),
             counties=c("Kitsap"),
             years=c(2019),
             acs.type = 'acs5')
#> Getting data from the 2015-2019 5-year ACS
#> Loading ACS5 variables for 2019 from table C17002. To cache this dataset for faster access to ACS tables in the future, run this function with `cache_table = TRUE`. You only need to do this once per ACS dataset.
#> Using FIPS code '53' for state 'Washington'
#> Using FIPS code '035' for 'Kitsap County'
#> # A tibble: 8 × 14
#>   GEOID name        state variable estimate   moe label concept census_geography
#>   <chr> <chr>       <chr> <chr>       <dbl> <dbl> <chr> <chr>   <chr>           
#> 1 53035 Kitsap Cou… Wash… C17002_…   257272   703 Esti… RATIO … County          
#> 2 53035 Kitsap Cou… Wash… C17002_…    10948   991 Esti… RATIO … County          
#> 3 53035 Kitsap Cou… Wash… C17002_…    11456  1149 Esti… RATIO … County          
#> 4 53035 Kitsap Cou… Wash… C17002_…     8101  1178 Esti… RATIO … County          
#> 5 53035 Kitsap Cou… Wash… C17002_…     6950   861 Esti… RATIO … County          
#> 6 53035 Kitsap Cou… Wash… C17002_…    12207  1176 Esti… RATIO … County          
#> 7 53035 Kitsap Cou… Wash… C17002_…     5582   936 Esti… RATIO … County          
#> 8 53035 Kitsap Cou… Wash… C17002_…   202028  1990 Esti… RATIO … County          
#> # ℹ 5 more variables: acs_type <chr>, year <dbl>, se <dbl>, cv <dbl>,
#> #   reliability <chr>