hate_crimes_tbl_df: US Hate Crimes & Socioeconomic Factors
In crimedatasets: A Comprehensive Collection of Crime-Related Datasets

hate_crimes_tbl_df

R Documentation

US Hate Crimes & Socioeconomic Factors

Description

This dataset contains data on hate crimes across the United States and associated socioeconomic factors. It provides insights into potential relationships between income inequality, socioeconomic characteristics, and the frequency of hate crimes.

Usage

data(hate_crimes_tbl_df)

Format

A tibble with 51 observations and 13 variables:

state: Full name of the state (character).
state_abbrev: Abbreviation of the state (character).
median_house_inc: Median household income (integer).
share_unemp_seas: Share of unemployed people (seasonally adjusted) (numeric).
share_pop_metro: Share of the population living in metropolitan areas (numeric).
share_pop_hs: Share of the population with at least a high school education (numeric).
share_non_citizen: Share of the population who are non-citizens (numeric).
share_white_poverty: Share of the white population living in poverty (numeric).
gini_index: Gini index of income inequality (numeric).
share_non_white: Share of the population who are non-white (numeric).
share_vote_trump: Share of votes for Donald Trump in the 2016 presidential election (numeric).
hate_crimes_per_100k_splc: Hate crimes per 100,000 people as reported by the SPLC (numeric).
avg_hatecrimes_per_100k_fbi: Average hate crimes per 100,000 people as reported by the FBI (numeric).

Details

The dataset name has been changed to 'hate_crimes_tbl_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 'tbl_df' indicates that the dataset is a tibble, a modern version of data frames in R. The original content has not been modified in any way.