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NCJ Number: 211226 Add to Shopping cart Find in a Library
Title: Understanding Race Data from Vehicle Stops: A Stakeholders Guide
Author(s): Lorie A. Fridell
Corporate Author: Police Executive Research Forum (PERF)
United States of America
Date Published: 2005
Page Count: 104
Sponsoring Agency: Office of Community Oriented Policing Services (COPS)
Washington, DC 20530
Police Executive Research Forum (PERF)
Washington, DC 20036
Grant Number: 2001-CK-WX-K046
Publication Number: ISBN 1-878734-89-X
Sale Source: Office of Community Oriented Policing Services (COPS)
US Dept of Justice
Two Constitutional Square
145 N Street, N.E.
Washington, DC 20530
United States of America
Document: Agency Summary|PDF|Text
Agency Summary: 
Type: Handbook
Format: Document
Language: English
Country: United States of America
Annotation: This report, intended for law enforcement stakeholders, explains how to analyze data on drivers’ race collected from vehicle stops.
Abstract: Rising tensions between police and minority communities in the late 1990s led to charges of racially biased policing in many cities throughout the United States. In response, law enforcement agencies around the country have implemented data collection and analysis efforts in which police officers collect data on drivers’ race when they make vehicle stops. The data allows agencies to analyze whether racially biased policing practices may be occurring. The two main goals of this guide are to inform stakeholders of the types of conclusions that can be reached with vehicle stop data and to describe how the data can be analyzed. Following the introduction in chapter 1, chapter 2 turns to a discussion of the benchmarking challenge which involves figuring out what percentage of vehicle stops involving minority groups would be indicative of racially biased policing. Chapter 3 describes the preliminary steps law enforcement agencies should take in the collection of police-citizen contact data, such as determining which law enforcement activities to collect data on and determining what type of information should be collected. Chapter 4 presents data analysis guidelines for all benchmarking methods while chapter 5 details several benchmarking methods and tools, including benchmarking with adjusted census data and benchmarking with DMV data. Chapter 6 presents guidelines for analyzing the post-stop activities of police officers because in many instances these post-stop activities are more likely to be influenced by racial bias than the initial vehicle stop. Chapter 7 describes the types of conclusions that can be drawn from vehicle stop data and chapter 8 discusses how to use the results for police reform. Tables, figures, footnotes, references, resources
Main Term(s): Data analysis; Vehicle stops
Index Term(s): Data collections; Profiling; Racial discrimination
Note: Downloaded September 12, 2005.
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