The R package fips makes it easier to merge geographic identifiers
such as state FIPS, county FIPS, urban-rural codes, and BEA region
codes. The following datasets are available:
fips::fips,fips::state, andfips::lower48:- State-level FIPS codes. (Source)
fips::fipscontains 50 states, the District of Columbia, and the Outlying Areas of the United States.fips::statecontains 50 states and the District of Columbia.fips::lower48contains the 48 Contiguous Continental States and the District of Columbia.
fips::county:- 2010 county-level FIPS codes. (Source)
fips::nchs_urc:- NCHS Urban-Rural Classification Scheme for Counties. (Source)
fips::bea_region:- BEA Region codes. (Source)
For a similar implementation in Stata, see statastates by
wschpero.
# install.package("devtools")
devtools::install_github("jjchern/[email protected]")
# To uninstall the package, use:
# remove.packages("fips")library(tidyverse)
fips::state
#> # A tibble: 51 x 3
#> fips usps state
#> <chr> <chr> <chr>
#> 1 01 AL Alabama
#> 2 02 AK Alaska
#> 3 04 AZ Arizona
#> 4 05 AR Arkansas
#> 5 06 CA California
#> 6 08 CO Colorado
#> 7 09 CT Connecticut
#> 8 10 DE Delaware
#> 9 11 DC District of Columbia
#> 10 12 FL Florida
#> # ... with 41 more rows
# fips::fips includes FIPS code for other outlying areas
fips::fips
#> # A tibble: 57 x 3
#> fips usps state
#> <chr> <chr> <chr>
#> 1 01 AL Alabama
#> 2 02 AK Alaska
#> 3 04 AZ Arizona
#> 4 05 AR Arkansas
#> 5 06 CA California
#> 6 08 CO Colorado
#> 7 09 CT Connecticut
#> 8 10 DE Delaware
#> 9 11 DC District of Columbia
#> 10 12 FL Florida
#> # ... with 47 more rows
fips::fips %>% tail(10)
#> # A tibble: 10 x 3
#> fips usps state
#> <chr> <chr> <chr>
#> 1 53 WA Washington
#> 2 54 WV West Virginia
#> 3 55 WI Wisconsin
#> 4 56 WY Wyoming
#> 5 60 AS American Samoa
#> 6 66 GU Guam
#> 7 69 MP Northern Mariana Islands
#> 8 72 PR Puerto Rico
#> 9 74 UM U.S. Minor Outlying Islands
#> 10 78 VI U.S. Virgin Islandsfips::county
#> # A tibble: 3,235 x 4
#> usps state fips county
#> <chr> <chr> <chr> <chr>
#> 1 AL Alabama 01001 Autauga County
#> 2 AL Alabama 01003 Baldwin County
#> 3 AL Alabama 01005 Barbour County
#> 4 AL Alabama 01007 Bibb County
#> 5 AL Alabama 01009 Blount County
#> 6 AL Alabama 01011 Bullock County
#> 7 AL Alabama 01013 Butler County
#> 8 AL Alabama 01015 Calhoun County
#> 9 AL Alabama 01017 Chambers County
#> 10 AL Alabama 01019 Cherokee County
#> # ... with 3,225 more rowsfips::bea_region
#> # A tibble: 51 x 7
#> fips usps state short_region_na… region_code region_name region_abbr
#> <chr> <chr> <chr> <chr> <int> <chr> <chr>
#> 1 09 CT Conne… New England 1 New Englan… NENG
#> 2 23 ME Maine New England 1 New Englan… NENG
#> 3 25 MA Massa… New England 1 New Englan… NENG
#> 4 33 NH New H… New England 1 New Englan… NENG
#> 5 44 RI Rhode… New England 1 New Englan… NENG
#> 6 50 VT Vermo… New England 1 New Englan… NENG
#> 7 10 DE Delaw… Mideast 2 Mideast Re… MEST
#> 8 11 DC Distr… Mideast 2 Mideast Re… MEST
#> 9 24 MD Maryl… Mideast 2 Mideast Re… MEST
#> 10 34 NJ New J… Mideast 2 Mideast Re… MEST
#> # ... with 41 more rows
fips::nchs_urc
#> # A tibble: 3,147 x 10
#> usps statefip fips county code2013 code2006 code1990 cbsatitle
#> <chr> <chr> <chr> <chr> <dbl+lbl> <dbl+lb> <dbl+lb> <chr>
#> 1 AL 01 01001 Autauga… 3 3 3 Montgomery, …
#> 2 AL 01 01003 Baldwin… 4 5 3 Daphne-Fairh…
#> 3 AL 01 01005 Barbour… 6 5 5 ""
#> 4 AL 01 01007 Bibb Co… 2 2 6 Birmingham-H…
#> 5 AL 01 01009 Blount … 2 2 3 Birmingham-H…
#> 6 AL 01 01011 Bullock… 6 6 6 ""
#> 7 AL 01 01013 Butler … 6 6 6 ""
#> 8 AL 01 01015 Calhoun… 4 4 4 Anniston-Oxf…
#> 9 AL 01 01017 Chamber… 5 5 6 Valley, AL
#> 10 AL 01 01019 Cheroke… 6 6 6 ""
#> # ... with 3,137 more rows, and 2 more variables: cbsapop <dbl>,
#> # ctypop <dbl>
