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Exploring the FBI Hate Crime Statistics (2016) and correlating the data for individual states with population data from the U.S. Census.

Jupyter Notebook 80.58% HTML 18.52% Python 0.89%

fbi-stats-hate-crime's Introduction

FBI Hate Crime Statistics (2016)

The Hate Crime Statistics Program is one of four subprograms of the The FBI's Uniform Crime Reporting (UCR) program and provides annual data “about crimes that manifest evidence of prejudice based on race, religion, sexual orientation, or ethnicity” (https://ucr.fbi.gov/hate-crime/2016/resource-pages/aboutucrmain).

The goal of this study is to use these data to investigate:

  • What are the most frequently reported motivations for hate crimes in the U.S.?
  • Who or what are the most frequently reported victims of hate crimes in the U.S.?
  • How does the number of reported hate crimes in each state correlate with population density?
  • How does the fraction of reported race motivated crimes in each state correlate with the fraction of 'white' population?
  • How are the reported hate crimes distributed across states?

The main notebook of this study is fbi_stats_hate_crime.ipynb. It contains both code and details of this study. To run it, check out the repoistory from GitHub to your local machine and run the notebook via jupyter notebook.

Installation and getting the data

Copies of the input data files used in this notebook are stored in the data/ subdirectory. See description in fbi_stats_hate_crime.ipynb for details on the data sources.

fbi-stats-hate-crime's People

Contributors

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Stargazers

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