Downloads processed CVAP data for a state. CVAP data is rounded to the nearest 5 so totals may not sum properly, but will be close.
Usage
cvap_get(
state,
year = 2023,
geography = "block group",
out_file = NULL,
moe = FALSE,
clean = TRUE
)Arguments
- state
character. The state to get data for or nation for the nation file.
- year
numeric. Year for the data in 2009 to 2023.
- geography
character. Level of geography. Default is 'block group'. See Details.
- out_file
file to save downloaded rds to
- moe
Include margin of error? Default is FALSE.
- clean
Should variable names be standardized? Default is TRUE.
Details
Geography options are
'block group': block group level data
'cd': congressional district data (years 2016+)
'county': county-level data
'place': place-level data
shd': state house district data (years 2016+)
'ssd': state senate district data (years 2016+)
'state': state-level data
'tract': tract-level data
'nation': nation-wide data
Examples
cvap_get('DE')
#> # A tibble: 706 × 10
#> GEOID cvap cvap_white cvap_black cvap_hisp cvap_asian cvap_aian cvap_nhpi
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1000104… 1245 1115 35 90 0 0 0
#> 2 1000104… 1795 1600 180 15 0 4 0
#> 3 1000104… 1435 1330 105 0 0 0 0
#> 4 1000104… 890 725 95 65 0 0 0
#> 5 1000104… 1715 1260 335 80 25 0 0
#> 6 1000104… 710 470 225 15 0 0 0
#> 7 1000104… 1370 590 525 160 4 10 0
#> 8 1000104… 1025 770 150 105 0 0 0
#> 9 1000104… 1135 580 325 185 35 0 0
#> 10 1000104… 1550 780 585 180 0 0 0
#> # ℹ 696 more rows
#> # ℹ 2 more variables: cvap_two <dbl>, cvap_other <dbl>