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📄 All-in-One: 50 States + DC + US Total Historical Crime Data (1979–2024) – Product Description

Overview
This all-inclusive package provides a complete, research-ready dataset of historical crime statistics across all 50 U.S. states, the District of Columbia, and national totals, covering 1979 through 2024. Designed for convenience, this package brings together every dataset into one bundle, standardized and formatted for easy analysis, visualization, and integration into your projects.

 

Data Coverage
Each state (plus DC) and the United States total includes:

  • Annual counts (1979–2024)

  • Population-adjusted rates (per 100,000 residents)

 

Categories included:

  • Violent Crime (total)

  • Property Crime (total)

  • Homicide

  • Rape (legacy definition and revised definition)

  • Robbery

  • Aggravated Assault

  • Burglary

  • Larceny-Theft

  • Motor Vehicle Theft

 

Data Sources

  • FBI Uniform Crime Reports (UCR) / Crime Data Explorer

  • Data standardized into tidy time-series format for each state, DC, and the U.S. total.

  • Population estimates included for rate calculations.

 

Notes & Caveats

  • Rape statistics are presented in both legacy and revised definitions (post-2013 change in FBI reporting).

  • Some historical values may reflect changes in reporting practices or missing years; data are shown as provided by the FBI.

  • Crime categories may not sum exactly due to rounding.

 

Format

  • Individual Excel files for each state + DC + U.S. total.

  • Long format (one row per state-year).

  • Includes both raw counts and population-adjusted rates.

  • Charts included for quick visualization.

  • Ready for use in Excel, R, Python, Google Sheets, Datawrapper, and other analysis tools.

 

Best Value: Instead of purchasing state packages individually, this all-in-one bundle gives you the entire dataset for every state, DC, and the national totals in one download.

★ALL-IN-ONE 50 States + DC + US Totals Crime Data (1979–2024)★

SKU: AIO_CR
$299.00Price
Excluding Sales Tax
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