crime.us: Estimated Crime in 2009 in USA

Description Usage Format Details Source Examples

Description

Crime totals and rates, cross-classified by US state, during 2009.

Usage

1

Format

A data frame with 50 observations on the following 22 variables.

State

a character vector. White spaces have been replaced by underscores.

Population

a numeric vector

ViolentCrimeTotal

a numeric vector

Murder

a numeric vector

Rape

a numeric vector

Robbery

a numeric vector

Assault

a numeric vector

PropertyCrimeTotal

a numeric vector

Burglary

a numeric vector

LarcenyTheft

a numeric vector

MotorVehicleTheft

a numeric vector

ViolentCrimeRate

a numeric vector

MurderRate

a numeric vector

RapeRate

a numeric vector

RobberyRate

a numeric vector

AssaultRate

a numeric vector

PropertyCrimeRate

a numeric vector

BurglaryRate

a numeric vector

LarcenyTheftRate

a numeric vector

MotorVehicleTheftRate

a numeric vector

stateNumber

a numeric vector, running from 1 to 50.

abbrev

State name as a character vector

Details

Each row is a state of the United States of America. The first half of the columns tend to be totals, and the second half are crime rates per 100,000 population.

The data frame was downloaded as a .csv file and edited. The full column names are: State, Population, Violent crime total, Murder and nonnegligent Manslaughter, Forcible rape, Robbery, Aggravated assault, Property crime total, Burglary, Larceny-theft, Motor vehicle theft, Violent Crime rate, Murder and nonnegligent manslaughter rate, Forcible rape rate, Robbery rate, Aggravated assault rate, Property crime rate, Burglary rate, Larceny-theft rate, Motor vehicle theft rate, state Number, abbreviation. Technical details governing the data set are given in the URL.

Source

http://www.ucrdatatool.gov, http://www.ucrdatatool.gov/Search/Crime/State/RunCrimeOneYearofData.cfm

Examples

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## Not run:   # Louisiana is the one outlier
plot(MurderRate ~ stateNumber, crime.us,
     axes = FALSE, type = "h", col = 1:6,
     main = "USA murder rates in 2009 (per 100,000 population)")
axis(1, with(crime.us, abbrev), at = with(crime.us, stateNumber),
     col = 1:6, col.tick = 1:6, cex.lab = 0.5)
axis(2) 
## End(Not run)
tail(crime.us[ sort.list(with(crime.us, MurderRate)), ])

VGAMdata documentation built on Jan. 16, 2021, 5:08 p.m.