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).
Source
The raw data behind the story "Higher Rates Of Hate Crimes Are Tied To Income Inequality" by FiveThirtyEight.
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.