On this page find:
CrimeStat Program and Documentation
CrimeStat IV Program
Sample Data Sets
- General sample data set (zip, 103 KB)
- Sample data sets for Journey-to-crime module (zip, 190.3 KB)
- Sample data sets for Bayesian Journey-to-crime module (zip, 2.3 MB)
- Sample data sets for Correlated Walk Analysis routines (zip, 54 KB)
- Sample data sets for Discrete Choice Analysis module (zip, 503 KB)
- Sample data sets for Time Series Forecasting module (zip, 155 KB)
- Crime Travel Demand tutorial (zip, 1.3 MB)
- Mode Split Accessibility Function worksheet (xls, 146 KB)
- All sample data sets (zip, 2,866 KB)
Many chapters and sections linked below reference and link to other chapters or appendices. For those links to work, you must save all of the files in a folder named "Version 4.0 distribution. If you are interested in the complete documentation, we recommend downloading a zip file containing all chapters and sections (zip, 35.6 MB).
Table of Contents, Acknowledgments and License Agreement (pdf, 91 KB)
Part I: Program Overview
Part II: Spatial Description
Part III: Hot Spot Analysis
Part IV: Spatial Modeling I
Part V: Spatial Modeling II
- Chapter 15 - OLS Regression Modeling - by Ned Levine and Dominique Lord (pdf, 602 KB)
- Chapter 16 - Poisson Regression Modeling - by Dominique Lord, Byung-Jung Park, and Ned Levine (pdf, 477 KB)
- Chapter 17 - Estimating Complex Models with Markov Chain Monte Carlo Simulation - by Dominique Lord, Ned Levine, Byung-Jung Park, Srinivas Geedipally, Haiyan Teng, and Li Sheng (pdf, 574 KB)
- Chapter 18 - Binomial Regression Modeling - by Ned Levine, Dominique Lord, and Byung-Jung Park (pdf, 501 KB)
- Chapter 19 - Spatial Regression Modeling - by Ned Levine, Dominique Lord, Byung-Jung Park, Srinivas Geedipally, Haiyan Teng, and Li Sheng (pdf, 479 KB)
- Chapter 20 - The CrimeStat Regression Module - by Ned Levine, Dominique Lord, Byung-Jung Park, Srinivas Geedipally, Haiyan Teng, Li Sheng, and Ian Cahill (PDF 374 KB)
- Chapter 21 - Discrete Choice Modeling - by Wim Bernasco and Richard Block (pdf, 879 KB)
- Chapter 22 - The CrimeStat Discrete Choice Module - by Wim Bernasco, Richard Block, Ned Levine, and Ian Cahill (pdf, 423 KB)
- Chapter 23 - Time Series Forecasting - by Wil Gorr and Andreas M. Olligschlaeger (pdf, 1.0 MB)
- Chapter 24 - The CrimeStat Time Series Forecasting Module - by Wil Gorr and Andreas M. Olligschlaeger (pdf, 1.5 MB)
Part VI: Crime Travel Demand Modeling
- Chapter 25 - Overview of Crime Travel Demand Modeling - by Ned Levine (pdf, 593 KB)
- Chapter 26 - Data Preparation for Crime Travel Demand Modeling - by Ned Levine (pdf, 2.2 MB)
- Chapter 27 - Crime Trip Generation - by Ned Levine (pdf, 790 KB)
- Chapter 28 - Crime Trip Distribution - by Ned Levine, Richard Block, Dan Helms, and Phil Canter (pdf, 1.2 MB)
- Chapter 29 - Crime Mode Split - by Ned Levine (pdf, 634 KB)
- Chapter 30 - Crime Network Assignment - by Ned Levine (pdf, 2.6 MB)
- Chapter 31 - Case Studies in Crime Travel Demand Modeling I: Travel Patterns of Chicago Robbery Offenders - by Richard Block (pdf, 3.4 MB)
- Chapter 32 - Case Studies in Crime Travel Demand Modeling II: Application of Travel Demand Behavior Model to Crime Data from Las Vegas, Nevada - by Dan Helms (pdf, 3.9 MB)
Questions relating to the software, sample data or manual should be directed to:
Dr. Ned Levine
Ned Levine and Associates
See copyright and citation information for CrimeStat and the manual.
CrimeStat User Workbook and Data
The CrimeStat III User Workbook is a separate product created by Susan C. Smith and Christopher W. Bruce for CrimeStat version 3.3. The CrimeStat program — currently in version 4.0 — and manual were created by Ned Levine. The information in this section pertains only to the workbook. Download CrimeStat IV or the CrimeStat IV manual.
NIJ’s Mapping and Analysis for Public Safety (MAPS) Program, in conjunction with the former National Law Enforcement, Corrections and Technology Center-Southeast (NLECTC-SE) in Charleston, South Carolina, produced a CrimeStat workbook designed specifically for crime analysts in the use of CrimeStat III (version 3.3).
The workbook covers how to prepare data for CrimeStat, produce results and import them into ArcGIS 9.x for further analysis or presentation. It also covers entering data into CrimeStat III, basic descriptive statistics from Spatial Distribution, measures of clustering in Distance Analysis, several 'Hot Spot' techniques, and using both single and dual Kernel Density Interpolation. Upon completion of the workbook and exercises, users are able to immediately make use of CrimeStat at their own agencies in the analysis of crime patterns and trends.
The data used in the workbook is provided below as well as a PowerPoint file covering the workbook and all lessons is provided for download for those wanting to instruct a class.
User workbook files:
NIJ does not exercise control over external Web sites. Read our Exit Notice [opens in pop-up window].
Questions related to the workbook and data sets should be directed to:
Christopher W. Bruce
Data-Driven Approaches to Crime and Traffic Safety (DDACTS) Program
Date Created: November 18, 2013