hate_crimes: FiveThirtyEight hate crimes dataset

In Rkabacoff/qacData: Datasets for Data Science Instruction

FiveThirtyEight hate crimes dataset

Description

This dataset contains the data that supports the article, "Higher Rates of Hate Crimes Are Tied to Income Inequality", published by FiveThirtyEight on 23 January, 2017, authored by Maimuna Majumder.

Usage

hate_crimes

Format

A data frame with 51 rows and 12 variables:

state

character State name

median_household_income

integer Median household income, 2016

share_unemployed_seasonal

double Share of the population that is unemployed

share_population_in_metro_areas

double Share of the population that lives in metropolitan areas, 2015

share_population_with_high_school_degree

double Share of adults 25 and older with a high-school degree, 2009

share_non_citizen

double Share of the population that are not U.S. citizens, 2015

share_white_poverty

double Share of white residents who are living in poverty, 2015

gini_index

double Gini Index, 2015

share_non_white

double Share of the population that is not white, 2015

share_voters_voted_trump

double Share of 2016 U.S. presidential voters who voted for Donald Trump

hate_crimes_per_100k_splc

double Hate crimes per 100,000 population, Southern Poverty Law Center, Nov. 9-18, 2016

avg_hatecrimes_per_100k_fbi

double Average annual hate crimes per 100,000 population, FBI, 2010-2015

Source

Fivethirtyeight Kaggle repository

Examples

summary(hate_crimes)

Rkabacoff/qacData documentation built on April 3, 2022, 9:21 a.m.