usc: US Crime Data
In ACSWR: A Companion Package for the Book "A Course in Statistics with R"

Description Usage Format References Examples

Data is available on the crime rates across 47 states in USA, and we have additional information on 13 more explanatory variables.

data(usc)

A data frame with 47 observations on the following 14 variables.

R: Crime rate - the number of offenses known to the police per 1,000,000 population
Age: Age distribution - the number of males aged 14 to 24 years per 1000 of total state population
S: Binary variable distinguishing southern states (S = 1) from the rest
Ed: Educational level - mean number of years of schooling times 10 of the population 25 years old and over
Ex0: Police expenditure - per capita expenditure on police protection by state and local governments in 1960
Ex1: Police expenditure - as Ex0, but for 1959
LF: Labour force participation rate per 1000 civilian urban males in the age group 14 to 24 years
M: Number of males per 1000 females
N: State population size in hundred thousands
NW: Number of non-whites per 1000
U1: Unemployment rate of urban males per 1000 in the age group 14 to 24 years
U2: Unemployment rate of urban males per 1000 in the age group 35 to 39 years
W: Wealth, as measured by the median value of transferable goods and assets. or family income (unit 10 dollars)
X: Income inequality: the number of families per 1000 earning below one half of the median income

Der, G., and Everitt, B.S. (2002). A Handbook of Statistical Analysis using SAS, 2e. CRC.

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data(usc)
pairs(usc)
round(cor(usc),2)

        R   Age     S    Ed   Ex0   Ex1    LF     M     N    NW    U1    U2
R    1.00 -0.09 -0.09  0.32  0.69  0.67  0.19  0.21  0.34  0.03 -0.05  0.18
Age -0.09  1.00  0.58 -0.53 -0.51 -0.51 -0.16 -0.03 -0.28  0.59 -0.22 -0.24
S   -0.09  0.58  1.00 -0.70 -0.37 -0.38 -0.51 -0.31 -0.05  0.77 -0.17  0.07
Ed   0.32 -0.53 -0.70  1.00  0.48  0.50  0.56  0.44 -0.02 -0.66  0.02 -0.22
Ex0  0.69 -0.51 -0.37  0.48  1.00  0.99  0.12  0.03  0.53 -0.21 -0.04  0.19
Ex1  0.67 -0.51 -0.38  0.50  0.99  1.00  0.11  0.02  0.51 -0.22 -0.05  0.17
LF   0.19 -0.16 -0.51  0.56  0.12  0.11  1.00  0.51 -0.12 -0.34 -0.23 -0.42
M    0.21 -0.03 -0.31  0.44  0.03  0.02  0.51  1.00 -0.41 -0.33  0.35 -0.02
N    0.34 -0.28 -0.05 -0.02  0.53  0.51 -0.12 -0.41  1.00  0.10 -0.04  0.27
NW   0.03  0.59  0.77 -0.66 -0.21 -0.22 -0.34 -0.33  0.10  1.00 -0.16  0.08
U1  -0.05 -0.22 -0.17  0.02 -0.04 -0.05 -0.23  0.35 -0.04 -0.16  1.00  0.75
U2   0.18 -0.24  0.07 -0.22  0.19  0.17 -0.42 -0.02  0.27  0.08  0.75  1.00
W    0.44 -0.67 -0.64  0.74  0.79  0.79  0.29  0.18  0.31 -0.59  0.04  0.09
X   -0.18  0.64  0.74 -0.77 -0.63 -0.65 -0.27 -0.17 -0.13  0.68 -0.06  0.02
        W     X
R    0.44 -0.18
Age -0.67  0.64
S   -0.64  0.74
Ed   0.74 -0.77
Ex0  0.79 -0.63
Ex1  0.79 -0.65
LF   0.29 -0.27
M    0.18 -0.17
N    0.31 -0.13
NW  -0.59  0.68
U1   0.04 -0.06
U2   0.09  0.02
W    1.00 -0.88
X   -0.88  1.00