6 datasets found
  1. o

    VACANT PROPERTY MAP-CRIME MAP

    • opendatatrenton.org
    • restoring-trenton-tvs.hub.arcgis.com
    Updated Dec 31, 2020
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    restoring_trenton (2020). VACANT PROPERTY MAP-CRIME MAP [Dataset]. https://www.opendatatrenton.org/maps/8ab85418cf284688a048ac2f0e4e43a5
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    Dataset updated
    Dec 31, 2020
    Dataset authored and provided by
    restoring_trenton
    Area covered
    Description

    Interactive vacant property map, showing property status of all properties in Trenton, NJ.The amount to redeem changes daily. For an exact tax lien redemption amount, call the City of Trenton Tax Office at: 609-989-3070

  2. Detection of Crime, Resource Deployment, and Predictors of Success: A...

    • icpsr.umich.edu
    • catalog.data.gov
    Updated Sep 24, 2019
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    Piza, Eric; Caplan, Joel; Kennedy, Leslie (2019). Detection of Crime, Resource Deployment, and Predictors of Success: A Multi-Level Analysis of CCTV in Newark, New Jersey, 2007-2011 [Dataset]. http://doi.org/10.3886/ICPSR34619.v3
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    Dataset updated
    Sep 24, 2019
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Piza, Eric; Caplan, Joel; Kennedy, Leslie
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/34619/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/34619/terms

    Time period covered
    Nov 2007 - Apr 2011
    Area covered
    New Jersey, Newark, United States
    Dataset funded by
    United States Department of Justice. Office of Justice Programs. National Institute of Justice
    Description

    The Detection of Crime, Resource Deployment, and Predictors of Success: A Multi-Level Analysis of Closed-Circuit Television (CCTV) in Newark, NJ collection represents the findings of a multi-level analysis of the Newark, New Jersey Police Department's video surveillance system. This collection contains multiple quantitative data files (Datasets 1-14) as well as spatial data files (Dataset 15 and Dataset 16). The overall project was separated into three components:

    • Component 1 (Dataset 1, Individual CCTV Detections and Calls-For-Service Data and Dataset 2, Weekly CCTV Detections in Newark Data) evaluates CCTV's ability to increase the "certainty of punishment" in target areas;
    • Component 2 (Dataset 3, Overall Crime Incidents Data; Dataset 4, Auto Theft Incidents Data; Dataset 5, Property Crime Incidents Data; Dataset 6, Robbery Incidents Data; Dataset 7, Theft From Auto Incidents Data; Dataset 8, Violent Crime Incidents Data; Dataset 9, Attributes of CCTV Catchment Zones Data; Dataset 10, Attributes of CCTV Camera Viewsheds Data; and Dataset 15, Impact of Micro-Level Features Spatial Data) analyzes the context under which CCTV cameras best deter crime. Micro-level factors were grouped into five categories: environmental features, line-of-sight, camera design and enforcement activity (including both crime and arrests); and
    • Component 3 (Dataset 11, Calls-for-service Occurring Within CCTV Scheme Catchment Zones During the Experimental Period Data; Dataset 12, Calls-for-service Occurring Within CCTV Schemes During the Experimental Period Data; Dataset 13, Targeted Surveillances Conducted by the Experimental Operators Data; Dataset 14, Weekly Surveillance Activity Data; and Dataset 16, Randomized Controlled Trial Spatial Data) was a randomized, controlled trial measuring the effects of coupling proactive CCTV monitoring with directed patrol units.

    Over 40 separate four-hour tours of duty, an additional camera operator was funded to monitor specific CCTV cameras in Newark. Two patrol units were dedicated solely to the operators and were tasked with exclusively responding to incidents of concern detected on the experimental cameras. Variables included throughout the datasets include police report and incident dates, crime type, disposition code, number of each type of incident that occurred in a viewshed precinct, number of CCTV detections that resulted in any police enforcement, and number of schools, retail stores, bars and public transit within the catchment zone.

  3. R

    State Police - NJGUNStat

    • data.nj.gov
    • data.wu.ac.at
    application/rdfxml +5
    Updated Jul 5, 2018
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    New Jersey State Police (2018). State Police - NJGUNStat [Dataset]. https://data.nj.gov/Public-Safety/State-Police-NJGUNStat/xyxq-hsa3
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    json, csv, tsv, application/rssxml, application/rdfxml, xmlAvailable download formats
    Dataset updated
    Jul 5, 2018
    Dataset authored and provided by
    New Jersey State Policehttp://www.njsp.org/
    Description

    NJGUNStat reports provide access to monthly and quarterly gun crime statistics

  4. Data from: Deterrent Effects of Punishment on Crime Rates, 1959-1960

    • icpsr.umich.edu
    ascii
    Updated Feb 16, 1992
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    Ehrlich, Isaac (1992). Deterrent Effects of Punishment on Crime Rates, 1959-1960 [Dataset]. http://doi.org/10.3886/ICPSR07716.v2
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    asciiAvailable download formats
    Dataset updated
    Feb 16, 1992
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Ehrlich, Isaac
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/7716/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/7716/terms

    Time period covered
    1959 - 1960
    Area covered
    United States
    Description

    The study contains cross-section data on the relationship between aggregate levels of punishment and crime rates. It examines deterrent effects of punishment on seven Federal Bureau of Investigation (FBI) index crimes: murder, rape, assault, larceny, robbery, burglary, and auto theft, committed in 1960 in 47 states of the United States (excluded were New Jersey, Alaska, and Hawaii). For each state, the data include variables for the reported crime rates for each of the seven index crimes. For each of the index crimes, there are two sanction variables included: the probability of prison commitment and the average time served by those sentenced (severity of punishment). There are 11 socioeconomic variables, including family income, income distribution, unemployment rate for urban males in the age groups 14-24 and 35-39, labor force participation rate, educational level, percentage of young males in population, percentage of non-white young males living in the population, percentage of population living in Standard Metropolitan Statistical Areas, sex ratio, and place of occurrence. The data also include per capita police expenditures for 1959 and 1960. A related data collection is PARTICIPATION IN ILLEGITIMATE ACTIVITIES: EHRLICH REVISITED, 1960 (ICPSR 8677). It provides alternative model specifications and estimations.

  5. j

    Jersey City Police Department - Service Calls

    • data.jerseycitynj.gov
    csv, excel, geojson +1
    Updated Apr 12, 2018
    + more versions
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    (2018). Jersey City Police Department - Service Calls [Dataset]. https://data.jerseycitynj.gov/explore/dataset/jcpd-calls-for-service/
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    geojson, json, excel, csvAvailable download formats
    Dataset updated
    Apr 12, 2018
    Area covered
    Jersey City
    Description

    Jersey City Police Department - Service Calls Does not include domestic disturbances, sexual assaults, attempted suicides, kidnapping, child abuse, unattended child, or missing child calls. A single call will yield multiple rows and duplicate listings here to account for each individual responding unit. A "True" primary field means that unit is in command and/or the first on scene. This data is call response only and a call for a certain type of activity does not always translate into a crime being committed. COMPSTAT data provides information regarding true criminal activity.View Map

  6. Forcible rape rate U.S. 2023, by state

    • statista.com
    Updated Nov 19, 2024
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    Statista (2024). Forcible rape rate U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/232563/forcible-rape-rate-in-the-us-by-state/
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    Dataset updated
    Nov 19, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    Alaska saw the highest rape rate in the United States in 2023, with 118.4 rapes per 100,000 inhabitants. The lowest rate was found in New Jersey, with 17.9 rapes per 100,000 inhabitants. Sexual assault in Alaska Fighting sexual assault in Alaska is particularly difficult due to small, isolated, close-knit communities who can be wary of airing their dirty laundry to outsiders, as well as a low number of law enforcement employees in the state. In addition, Alaska’s low population is spread out over a large land area, meaning that in the event of an assault being reported to police, it can take law enforcement hours, or even days, to reach the most isolated communities. The victims of sexual assault There tends to be more reported female victims of sexual assault than male victims. However, since sexual assault is typically an underreported crime, especially among males, these figures could be, and probably are, much higher. In addition, many victims of sexual offenses tend to be young, although sexual assault can occur at any age.

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    Learn how you can add new datasets to our index.

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restoring_trenton (2020). VACANT PROPERTY MAP-CRIME MAP [Dataset]. https://www.opendatatrenton.org/maps/8ab85418cf284688a048ac2f0e4e43a5

VACANT PROPERTY MAP-CRIME MAP

Explore at:
Dataset updated
Dec 31, 2020
Dataset authored and provided by
restoring_trenton
Area covered
Description

Interactive vacant property map, showing property status of all properties in Trenton, NJ.The amount to redeem changes daily. For an exact tax lien redemption amount, call the City of Trenton Tax Office at: 609-989-3070

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