US State Facts and Figures

Description

Data sets related to the 50 states of the United States of America.

Usage

state.abb
state.area
state.center
state.division
state.name
state.region
state.x77

Details

R currently contains the following “state” data sets. Note that all data are arranged according to alphabetical order of the state names.

state.abb:

character vector of 2-letter abbreviations for the state names.

state.area:

numeric vector of state areas (in square miles).

state.center:

list with components named x and y giving the approximate geographic center of each state in negative longitude and latitude. Alaska and Hawaii are placed just off the West Coast. See ‘Examples’ on how to “correct”.

state.division:

factor giving state divisions (New England, Middle Atlantic, South Atlantic, East South Central, West South Central, East North Central, West North Central, Mountain, and Pacific).

state.name:

character vector giving the full state names.

state.region:

factor giving the region (Northeast, South, North Central, West) that each state belongs to.

state.x77:

matrix with 50 rows and 8 columns giving the following statistics in the respective columns.

Population:

population estimate as of July 1, 1975

Income:

per capita income (1974)

Illiteracy:

illiteracy (1970, percent of population)

Life Exp:

life expectancy in years (1969–71)

Murder:

murder and non-negligent manslaughter rate per 100,000 population (1976)

HS Grad:

percent high-school graduates (1970)

Frost:

mean number of days with minimum temperature below freezing (1931–1960) in capital or large city

Area:

land area in square miles

Note that a square mile is by definition exactly (cm(1760 * 3 * 12) / 100 / 1000)^2 km^2, i.e., 2.589988110336 km^2.

Source

U.S. Department of Commerce, Bureau of the Census (1977) Statistical Abstract of the United States.

U.S. Department of Commerce, Bureau of the Census (1977) County and City Data Book.

References

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.

Examples

(dst <- dxy <- data.frame(state.center, row.names=state.abb))
## Alaska and Hawaii are placed just off the West Coast (for compact map drawing):
dst[c("AK", "HI"),]
## state.center2 := version of state.center with "correct" coordinates for AK & HI:
## From https://pubs.usgs.gov/gip/Elevations-Distances/elvadist.html#Geographic%20Centers
##   Alaska   63°50' N., 152°00' W., 60 miles northwest of Mount McKinley
##   Hawaii   20°15' N., 156°20' W., off Maui Island
dxy["AK",] <- c(-152.  , 63.83) # or  c(-152.11, 65.17)
dxy["HI",] <- c(-156.33, 20.25) # or  c(-156.69, 20.89)
state.center2 <- as.list(dxy)

plot(dxy, asp=1.2, pch=3, col=2)
text(state.center2, state.abb, cex=1/2, pos=4, offset=1/4)
i <- c("AK","HI")
do.call(arrows, c(setNames(c(dst[i,], dxy[i,]), c("x0","y0", "x1","y1")),
                  col=adjustcolor(4, .7), length=1/8))
points(dst[i,], col=2)
if(FALSE) { # if(require("maps")) {
   map("state", interior = FALSE,          add = TRUE)
   map("state", boundary = FALSE, lty = 2, add = TRUE)
}