Outline of US states and equivalents

Data from shapefiles provided by the Census Bureau’s MAF/TIGER geographic database at https://www.census.gov/geo/maps-data/data/cbf/cbf_state.html. State outlines are based on the 1:20m resolution level. Internal points, divisions and regions are based on TIGER/Line Shapefiles for states and equivalents in the 2016 release.

states

inset

division

Format

both objects are data frames consisting of variables of length ~13k:

  • long: geographic longitude

  • lat: geographic latitude

  • order: order of locations

  • piece: positive integer value, one for each separate area/island of a state

  • id: integer value uniquely identifying each state

  • group: character value - composite of id and piece, uniquely identifying each part of each state

  • STATEFP: FIPS state code

  • STATENS: GNIS state code

  • AFFGEOID: American FactFinder state code

  • GEOID: GEOID state code

  • STUSPS: US state code

  • NAME: name of state or state equivalent

  • ALAND: land area of the state/state equivalent in square meters

  • AWATER: water area of the state/state equivalent in square meters

  • REGION: integer of US region

  • REGION.NAME: name of US region

  • DIVISION: integer of US division

  • DIVISION.NAME: name of US division

  • INTPTLAT: latitude of interior point

  • INTPTLON: longitude of interior point

Examples

states %>% ggplot(aes(x = long, y = lat)) +
  geom_path(aes(group = group)) +
  geom_point(data = states %>% map_unif(n = 1000), colour = "red", size = 0.25)

inset %>% ggplot(aes(x = long, y = lat)) +
  geom_path(aes(group = group)) +
  geom_point(data = inset %>% map_unif(n = 1000), colour = "red", size = 0.25)

division %>% ggplot(aes(x = long, y = lat)) +
  geom_path(aes(group = group)) +
  geom_point(data = division %>% map_unif(n = 1000), colour = "red", size = 0.25)