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This dataset, known as the Hartnagel dataset, contains an annual time series of crime rates and related socio-economic data in Canada from 1931 to 1968. It includes variables such as total fertility rates, labor force participation rates, and crime statistics disaggregated by gender. Note that some data points are missing.

Usage

data(Hartnagel_df)

Format

A data frame with 38 observations and 8 variables:

year

Year of observation (integer).

tfr

Total fertility rate per 1,000 women (integer).

partic

Labor force participation rate per 1,000 people (integer).

degrees

Number of university degrees conferred per 1,000 people (numeric).

fconvict

Convictions of females per 100,000 people (numeric).

ftheft

Thefts by females per 100,000 people (numeric).

mconvict

Convictions of males per 100,000 people (numeric).

mtheft

Thefts by males per 100,000 people (numeric).

Source

Hartnagel dataset, providing insights into Canadian crime rates and socio-economic factors.

Details

The dataset name has been changed to 'Hartnagel_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.

The data is an annual time-series from 1931 to 1968. Some observations contain missing data.