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Valuation of Specific Crime Rates in the United States, 1980 and 1990

Metadata Updated: November 28, 2023

This project was designed to isolate the effects that individual crimes have on wage rates and housing prices, as gauged by individuals' and households' decisionmaking preferences changing over time. Additionally, this project sought to compute a dollar value that individuals would bear in their wages and housing costs to reduce the rates of specific crimes. The study used multiple decades of information obtained from counties across the United States to create a panel dataset. This approach was designed to compensate for the problem of collinearity by tracking how housing and occupation choices within particular locations changed over the decade considering all amenities or disamenities, including specific crime rates. Census data were obtained for this project from the Integrated Public Use Microdata Series (IPUMS) constructed by Ruggles and Sobek (1997). Crime data were obtained from the Federal Bureau of Investigation's Uniform Crime Reports (UCR). Other data were collected from the American Chamber of Commerce Researchers Association, County and City Data Book, National Oceanic and Atmospheric Administration, and Environmental Protection Agency. Independent variables for the Wages Data (Part 1) include years of education, school enrollment, sex, ability to speak English well, race, veteran status, employment status, and occupation and industry. Independent variables for the Housing Data (Part 2) include number of bedrooms, number of other rooms, building age, whether unit was a condominium or detached single-family house, acreage, and whether the unit had a kitchen, plumbing, public sewers, and water service. Both files include the following variables as separating factors: census geographic division, cost-of-living index, percentage unemployed, percentage vacant housing, labor force employed in manufacturing, living near a coastline, living or working in the central city, per capita local taxes, per capita intergovernmental revenue, per capita property taxes, population density, and commute time to work. Lastly, the following variables measured amenities or disamenities: average precipitation, temperature, windspeed, sunshine, humidity, teacher-pupil ratio, number of Superfund sites, total suspended particulate in air, and rates of murder, rape, robbery, aggravated assault, burglary, larceny, auto theft, violent crimes, and property crimes.

Access & Use Information

Public: This dataset is intended for public access and use. License: us-pd

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Metadata Created Date August 18, 2021
Metadata Updated Date November 28, 2023

Metadata Source

Harvested from DOJ JSON

Additional Metadata

Resource Type Dataset
Metadata Created Date August 18, 2021
Metadata Updated Date November 28, 2023
Publisher National Institute of Justice
Identifier 3345
Data First Published 2001-10-09T00:00:00
Language eng
Data Last Modified 2006-01-18T00:00:00
Public Access Level public
Bureau Code 011:21
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id 86958b01-04f8-4fae-bf4f-faef730bdc3f
Harvest Source Id 3290e90a-116f-42fc-86ac-e65521ef3b68
Harvest Source Title DOJ JSON
Program Code 011:060
Publisher Hierarchy Office of Justice Programs > National Institute of Justice
Source Datajson Identifier True
Source Hash c8b4e4d1150da07f15aea91157dc23adba26d8b75dc4897a96211878d496e458
Source Schema Version 1.1

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