UScrime_df: The Effect of Punishment Regimes on Crime Rates

In crimedatasets: A Comprehensive Collection of Crime-Related Datasets

The Effect of Punishment Regimes on Crime Rates

Description

This dataset contains aggregate data on crime rates and socioeconomic indicators for 47 states in the USA for 1960. It explores the effect of punishment regimes on crime rates, with variables scaled to convenient numbers.

Usage

data(UScrime_df)

Format

A data frame with 47 observations and 16 variables:

M

Number of males aged 14–24 per 100,000 (integer).

So

Indicator for Southern states (1 = South, 0 = non-South) (integer).

Ed

Mean years of schooling (integer).

Po1

Police expenditure in 1960 per capita (integer).

Po2

Police expenditure in 1959 per capita (integer).

LF

Labor force participation rate per 100,000 (integer).

M.F

Ratio of males to females (integer).

Pop

Population size per 100,000 (integer).

NW

Percent non-white population (integer).

U1

Unemployment rate of urban males aged 14–24 (integer).

U2

Unemployment rate of urban males aged 35–39 (integer).

GDP

Gross domestic product per capita (integer).

Ineq

Income inequality indicator (integer).

Prob

Probability of imprisonment (numeric).

Time

Average time served in state prisons (in months) (numeric).

y

Crime rate: number of offenses per 100,000 population (integer).

Details

The dataset name has been changed to 'UScrime_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the crimedatasets package and assists users in identifying its specific characteristics. The suffix 'df' indicates that the dataset is a traditional data frame in R. The original content has not been modified in any way.

Source

Aggregate data on crime and punishment regimes in the USA, 1960.

crimedatasets documentation built on April 3, 2025, 11:04 p.m.