'Near Repeat' Theory into a Geospatial Policing Strategy: A Randomized Experiment Testing a Theoretically-Informed Strategy for Preventing Residential Burglary, Baltimore County, Maryland and Redlands, California, 2014-2015

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This data collection represents an experimental micro-level geospatial crime prevention strategy that attempted to interrupt the near repeat (NR) pattern in residential burglary by creating a NR space-time high risk zone around residential burglaries as they occurred and then using uniformed volunteers to notify residents of their increased risk and provide burglary prevention tips. The research used a randomized controlled trial to test whether high risk zones that received the notification had fewer subsequent burglaries than those that did not. In addition, two surveys were administered to gauge the impact of the program, one of residents of the treatment areas and one of treatment providers. The collection contains 6 Stata datasets: BCo_FinalData_20180118_Archiving.dta(n = 484, 8 variables)Red_FinalData_20180117_Archiving.dta (n = 268, 8 variables)BCo_FinalDatasetOtherCrime_ForArchiving_v2.dta(n = 484, 8 variables)Redlands_FinalDataSecondary_ForArchiving_v2.dta (n = 266, 8 variables)ResidentSurvey_AllResponses_V1.4_ArchiveCleaned.dta (n = 457, 42 variables)VolunteerSurvey_V1.2_ArchiveCleaned.dta (n = 38, 16 variables) The collection also includes 5 sets of geographic information system (GIS) data: BaltimoreCounty_Bnd.zipBC_NR_HRZs.zipBurglaryAreaMinus800_NoApts.zipRedlands_CityBnd.zipRedlandsNR_HRZs.shp.zip

Data and Resources

Field Value
accessLevel restricted public
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catalog_@id https://www.justice.gov/data.json
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catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
datagov_dedupe_retained 20210820010620
identifier 3569
issued 2019-05-30T13:38:19
language {eng}
license http://www.usa.gov/publicdomain/label/1.0/
modified 2019-05-30T13:46:36
programCode {011:060}
publisher National Institute of Justice
publisher_hierarchy Office of Justice Programs > National Institute of Justice
resource-type Dataset
rights These data are restricted due to the increased risk of violation of confidentiality of respondent and subject data.
source_datajson_identifier true
source_hash e5f68f241a4d87c83066b8f777a50f99b3473983
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Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • burglary
  • ckan
  • crime-mapping
  • crime-prevention
  • crime-reduction
  • geo
  • geoss
  • national
  • north-america
  • police-intervention
  • united-states
isopen False
license_id us-pd
license_title us-pd
maintainer Open Data Office of Justice Programs (USDOJ)
maintainer_email opendata@usdoj.gov
metadata_created 2025-11-22T06:56:20.486491
metadata_modified 2025-11-22T06:56:20.486495
notes These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This data collection represents an experimental micro-level geospatial crime prevention strategy that attempted to interrupt the near repeat (NR) pattern in residential burglary by creating a NR space-time high risk zone around residential burglaries as they occurred and then using uniformed volunteers to notify residents of their increased risk and provide burglary prevention tips. The research used a randomized controlled trial to test whether high risk zones that received the notification had fewer subsequent burglaries than those that did not. In addition, two surveys were administered to gauge the impact of the program, one of residents of the treatment areas and one of treatment providers. The collection contains 6 Stata datasets: BCo_FinalData_20180118_Archiving.dta(n = 484, 8 variables)Red_FinalData_20180117_Archiving.dta (n = 268, 8 variables)BCo_FinalDatasetOtherCrime_ForArchiving_v2.dta(n = 484, 8 variables)Redlands_FinalDataSecondary_ForArchiving_v2.dta (n = 266, 8 variables)ResidentSurvey_AllResponses_V1.4_ArchiveCleaned.dta (n = 457, 42 variables)VolunteerSurvey_V1.2_ArchiveCleaned.dta (n = 38, 16 variables) The collection also includes 5 sets of geographic information system (GIS) data: BaltimoreCounty_Bnd.zipBC_NR_HRZs.zipBurglaryAreaMinus800_NoApts.zipRedlands_CityBnd.zipRedlandsNR_HRZs.shp.zip
num_resources 1
num_tags 13
title 'Near Repeat' Theory into a Geospatial Policing Strategy: A Randomized Experiment Testing a Theoretically-Informed Strategy for Preventing Residential Burglary, Baltimore County, Maryland and Redlands, California, 2014-2015