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SLATS Truck Theft Data of New York City, 1976-1980

Metadata Updated: November 28, 2023

This data collection is one of three quantitative databases comprising the Commercial Theft Studies component of the Study of the Causes of Crime for Gain, which focuses on patterns of commercial theft and characteristics of commercial thieves. This data collection examines the methods used to commit various acts of theft that involved a truck or the contents of a truck. These data were collected from the files of a specialized New York City Police Department detective squad called the Safe, Loft, and Truck Squad (SLATS), which was created specifically to investigate commercial truck thefts. The variables include type and value of stolen property, weapon involvement, treatment of driver and helper, suspect characteristics, and recovery information.

Access & Use Information

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

Downloads & Resources

Dates

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
Maintainer
Identifier 3727
Data First Published 1984-03-18T00:00:00
Language eng
Data Last Modified 1992-02-16T00:00:00
Public Access Level public
Bureau Code 011:21
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://www.justice.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 37c6ca37-ca44-43bc-90b4-88f7d1b8decb
Harvest Source Id 3290e90a-116f-42fc-86ac-e65521ef3b68
Harvest Source Title DOJ JSON
License http://www.usa.gov/publicdomain/label/1.0/
Program Code 011:060
Publisher Hierarchy Office of Justice Programs > National Institute of Justice
Source Datajson Identifier True
Source Hash 2b20f2a76d41c29876bf325991d4036dc3bdf4de1eede0755b967ece3f041b54
Source Schema Version 1.1

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