Get annual population for counties between 2006 and 2014

Get annual population for counties between 2006 and 2014

county_population(county = "Mingo", state = "WV", key = "WaPo")

Arguments

county

Filter the data to only this county (e.g. 'Mingo')

state

Filter the data to county within this state (e.g. 'WV')

key

Key needed to make query successful

See also

https://www.washingtonpost.com/graphics/2019/investigations/dea-pain-pill-database/#download-resources

Other geocoded data: buyer_addresses(), not_pharmacies(), pharm_cbsa(), pharm_counties(), pharm_latlon(), pharm_tracts(), reporter_addresses(), state_population()

Examples

# \donttest{
library(arcos)

mingo_wv <- county_population(county = "Mingo", state="WV", key="WaPo")

head(mingo_wv)
#>   BUYER_COUNTY BUYER_STATE countyfips STATE COUNTY county_name
#> 1        MINGO          WV      54059    54     59       Mingo
#> 2        MINGO          WV      54059    54     59       Mingo
#> 3        MINGO          WV      54059    54     59       Mingo
#> 4        MINGO          WV      54059    54     59       Mingo
#> 5        MINGO          WV      54059    54     59       Mingo
#> 6        MINGO          WV      54059    54     59       Mingo
#>                          NAME   variable year population
#> 1 Mingo County, West Virginia B01003_001 2006      27054
#> 2 Mingo County, West Virginia B01003_001 2007      27145
#> 3 Mingo County, West Virginia B01003_001 2008      26850
#> 4 Mingo County, West Virginia B01003_001 2009      26562
#> 5 Mingo County, West Virginia B01003_001 2010      26956
#> 6 Mingo County, West Virginia B01003_001 2011      26859
# }