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)
}