state {datasets} | R Documentation |
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
andy
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)
}