us_crime_rates: US Crime Rates

In usdata: Data on the States and Counties of the United States

US Crime Rates

Description

National data on the number of crimes committed in the US between 1960 and 2019.

Usage

us_crime_rates

Format

A data frame with 60 rows and 12 variables.

year

Year data was collected.

population

Population of the United States the year data was collected.

total

Total number of violent and property crimes committed.

violent

Total number of violent crimes committed.

property

Total number of property crimes committed.

murder

Number of murders committed. Counted in violent total.

forcible_rape

Number of forcible rapes committed. Counted in violent total.

robbery

Number of robberies committed. Counted in violent total.

aggravated_assault

Number of aggravated assaults committed. Counted in violent total.

burglary

Number of burglaries committed. Counted in property total.

larceny_theft

Number of larcency thefts committed. Counted in property total.

vehicle_theft

Number of vehicle thefts committed. Counted in property total.

Source

Disaster Center

Examples

library(ggplot2)

ggplot(us_crime_rates, aes(x = population, y = total)) +
  geom_point() +
  labs(
    title = "Crimes V Population",
    x = "Population",
    y = "Total Number of Crimes"
  )

ggplot(us_crime_rates, aes(x = murder)) +
  geom_boxplot() +
  labs(
    title = "US Murders",
    subtitle = "1960 - 2019",
    x = "Number of Murders"
  ) +
  theme(axis.text.y = element_blank())

usdata documentation built on June 22, 2024, 9:57 a.m.