8 datasets found
  1. a

    Crime in Minnesota-Copy

    • umn.hub.arcgis.com
    Updated Jul 5, 2022
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    University of Minnesota (2022). Crime in Minnesota-Copy [Dataset]. https://umn.hub.arcgis.com/maps/357104b3b42e4e578dfc4a78177190a1
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    Dataset updated
    Jul 5, 2022
    Dataset authored and provided by
    University of Minnesota
    Area covered
    Description

    This map shows the total crime index in the U.S. in 2018 in a multi-scale map (by state, county, ZIP Code, tract, and block group). The pop-up is configured to include the following information for each geography level:Total crime indexPersonal and Property crime indices Sub-categories of personal and property crime indicesThe values are all referenced by an index value. The index values for the US level are 100, representing average crime for the country. A value of more than 100 represents higher crime than the national average, and a value of less than 100 represents lower crime than the national average. For example, an index of 120 implies that crime in the area is 20 percent higher than the US average; an index of 80 implies that crime is 20 percent lower than the US average.Additional Esri Resources:Esri DemographicsU.S. 2018/2023 Esri Updated DemographicsEssential demographic vocabularyEsri's arcgis.com demographic map layers

  2. Reported violent crime rate U.S. 2023, by state

    • statista.com
    Updated Nov 14, 2024
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    Statista (2024). Reported violent crime rate U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/200445/reported-violent-crime-rate-in-the-us-states/
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    Dataset updated
    Nov 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the District of Columbia had the highest reported violent crime rate in the United States, with 1,150.9 violent crimes per 100,000 of the population. Maine had the lowest reported violent crime rate, with 102.5 offenses per 100,000 of the population. Life in the District The District of Columbia has seen a fluctuating population over the past few decades. Its population decreased throughout the 1990s, when its crime rate was at its peak, but has been steadily recovering since then. While unemployment in the District has also been falling, it still has had a high poverty rate in recent years. The gentrification of certain areas within Washington, D.C. over the past few years has made the contrast between rich and poor even greater and is also pushing crime out into the Maryland and Virginia suburbs around the District. Law enforcement in the U.S. Crime in the U.S. is trending downwards compared to years past, despite Americans feeling that crime is a problem in their country. In addition, the number of full-time law enforcement officers in the U.S. has increased recently, who, in keeping with the lower rate of crime, have also made fewer arrests than in years past.

  3. Reducing Violence in Communities: An In-Depth Study of Efforts in Durham, NC...

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Oct 30, 2024
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    Cahill, Meagan Elizabeth (2024). Reducing Violence in Communities: An In-Depth Study of Efforts in Durham, NC and Minneapolis, MN, 2010-2022 [Dataset]. http://doi.org/10.3886/ICPSR38691.v1
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    stata, r, ascii, delimited, spss, sasAvailable download formats
    Dataset updated
    Oct 30, 2024
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Cahill, Meagan Elizabeth
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/38691/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38691/terms

    Time period covered
    2010 - 2022
    Area covered
    North Carolina, Minneapolis, Minnesota, United States, Durham
    Description

    Recognizing that violence can be an intractable problem in many communities and that there are numerous approaches to both an immediate violence problem and the range of root causes behind violence, the National Institute of Justice funded an investigation into what factors underlie violence and efforts being implemented to address those factors and potentially reduce violence at the community level. In this mixed methods study, the RAND Corporation drew on data from key informant interviews, community surveys, administrative data, and geographic data to examine specific factors that contribute to violence, as well as a range of anti-violence efforts that have been used to address violence levels in two U.S. communities: the Bullseye area of Durham, North Carolina, and the Northside (North Minneapolis) neighborhood of Minneapolis, Minnesota. Specifically, the research project aimed to answer the following questions: What are community level factors that can contribute to persistent violence? What are the key factors in both cities that distinguish high violent crime areas compared to low violent crime areas? This collection contains final analytic datasets for Durham (DS1) and Minneapolis (DS2), violent crime rate data (DS3), community survey data for Durham (DS4) and Minneapolis (DS5), and multiple datasets containing community-level contextual factors from the American Community Survey (ACS) and geographical data from the U.S. Census Bureau (2009-2018) that were used to build the final analytic datasets (DS6-DS11). Qualitative data from key informant interviews and GIS data are not available for download at this time. Access to Durham and Minneapolis community survey data is restricted.

  4. India Railway Crime: Value of Property Recovered

    • ceicdata.com
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    CEICdata.com, India Railway Crime: Value of Property Recovered [Dataset]. https://www.ceicdata.com/en/india/railway-statistics-railway-crime/railway-crime-value-of-property-recovered
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2011 - Mar 1, 2017
    Area covered
    India
    Variables measured
    Vehicle Traffic
    Description

    India Railway Crime: Value of Property Recovered data was reported at 3.100 INR mn in 2017. This records a decrease from the previous number of 47.900 INR mn for 2016. India Railway Crime: Value of Property Recovered data is updated yearly, averaging 38.100 INR mn from Mar 2011 (Median) to 2017, with 7 observations. The data reached an all-time high of 51.500 INR mn in 2012 and a record low of 3.100 INR mn in 2017. India Railway Crime: Value of Property Recovered data remains active status in CEIC and is reported by Ministry of Railways. The data is categorized under India Premium Database’s Transportation, Post and Telecom Sector – Table IN.TB018: Railway Statistics: Railway Crime.

  5. India Railway Crime: Railway Protection Force: Railways Act: Number of...

    • ceicdata.com
    Updated Dec 15, 2019
    + more versions
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    CEICdata.com (2019). India Railway Crime: Railway Protection Force: Railways Act: Number of Persons Convicted [Dataset]. https://www.ceicdata.com/en/india/railway-statistics-railway-crime/railway-crime-railway-protection-force-railways-act-number-of-persons-convicted
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    Dataset updated
    Dec 15, 2019
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2011 - Mar 1, 2017
    Area covered
    India
    Variables measured
    Vehicle Traffic
    Description

    India Railway Crime: Railway Protection Force: Railways Act: Number of Persons Convicted data was reported at 22.780 Person mn in 2017. This records an increase from the previous number of 21.330 Person mn for 2016. India Railway Crime: Railway Protection Force: Railways Act: Number of Persons Convicted data is updated yearly, averaging 1.725 Person mn from Mar 2011 (Median) to 2017, with 7 observations. The data reached an all-time high of 22.780 Person mn in 2017 and a record low of 1.475 Person mn in 2012. India Railway Crime: Railway Protection Force: Railways Act: Number of Persons Convicted data remains active status in CEIC and is reported by Ministry of Railways. The data is categorized under India Premium Database’s Transportation, Post and Telecom Sector – Table IN.TB018: Railway Statistics: Railway Crime.

  6. India Railway Crime: Railway Protection Force: Railways Act: Amount of Fine...

    • ceicdata.com
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    CEICdata.com, India Railway Crime: Railway Protection Force: Railways Act: Amount of Fine Realized [Dataset]. https://www.ceicdata.com/en/india/railway-statistics-railway-crime/railway-crime-railway-protection-force-railways-act-amount-of-fine-realized
    Explore at:
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2011 - Mar 1, 2017
    Area covered
    India
    Variables measured
    Vehicle Traffic
    Description

    India Railway Crime: Railway Protection Force: Railways Act: Amount of Fine Realized data was reported at 69.400 INR mn in 2017. This records an increase from the previous number of 63.870 INR mn for 2016. India Railway Crime: Railway Protection Force: Railways Act: Amount of Fine Realized data is updated yearly, averaging 421.200 INR mn from Mar 2011 (Median) to 2017, with 7 observations. The data reached an all-time high of 530.900 INR mn in 2014 and a record low of 63.870 INR mn in 2016. India Railway Crime: Railway Protection Force: Railways Act: Amount of Fine Realized data remains active status in CEIC and is reported by Ministry of Railways. The data is categorized under India Premium Database’s Transportation, Post and Telecom Sector – Table IN.TB018: Railway Statistics: Railway Crime.

  7. 印度 Railway Crime: Value of Property Recovered

    • ceicdata.com
    Updated Mar 8, 2019
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    CEICdata.com (2019). 印度 Railway Crime: Value of Property Recovered [Dataset]. https://www.ceicdata.com/zh-hans/india/railway-statistics-railway-crime
    Explore at:
    Dataset updated
    Mar 8, 2019
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2011 - Mar 1, 2017
    Area covered
    印度
    Variables measured
    Vehicle Traffic
    Description

    Railway Crime: Value of Property Recovered在2017达3.100 INR mn,相较于2016的47.900 INR mn有所下降。Railway Crime: Value of Property Recovered数据按每年更新,2011至2017期间平均值为38.100 INR mn,共7份观测结果。该数据的历史最高值出现于2012,达51.500 INR mn,而历史最低值则出现于2017,为3.100 INR mn。CEIC提供的Railway Crime: Value of Property Recovered数据处于定期更新的状态,数据来源于Ministry of Railways,数据归类于India Premium Database的Transportation, Post and Telecom Sector – Table IN.TB018: Railway Statistics: Railway Crime。

  8. 印度 Railway Crime: Railway Protection Force: Railways Act: Amount of Fine...

    • ceicdata.com
    Updated Mar 8, 2019
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    CEICdata.com (2019). 印度 Railway Crime: Railway Protection Force: Railways Act: Amount of Fine Realized [Dataset]. https://www.ceicdata.com/zh-hans/india/railway-statistics-railway-crime
    Explore at:
    Dataset updated
    Mar 8, 2019
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2011 - Mar 1, 2017
    Area covered
    印度
    Variables measured
    Vehicle Traffic
    Description

    Railway Crime: Railway Protection Force: Railways Act: Amount of Fine Realized在2017达69.400 INR mn,相较于2016的63.870 INR mn有所增长。Railway Crime: Railway Protection Force: Railways Act: Amount of Fine Realized数据按每年更新,2011至2017期间平均值为421.200 INR mn,共7份观测结果。该数据的历史最高值出现于2014,达530.900 INR mn,而历史最低值则出现于2016,为63.870 INR mn。CEIC提供的Railway Crime: Railway Protection Force: Railways Act: Amount of Fine Realized数据处于定期更新的状态,数据来源于Ministry of Railways,数据归类于India Premium Database的Transportation, Post and Telecom Sector – Table IN.TB018: Railway Statistics: Railway Crime。

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University of Minnesota (2022). Crime in Minnesota-Copy [Dataset]. https://umn.hub.arcgis.com/maps/357104b3b42e4e578dfc4a78177190a1

Crime in Minnesota-Copy

Explore at:
Dataset updated
Jul 5, 2022
Dataset authored and provided by
University of Minnesota
Area covered
Description

This map shows the total crime index in the U.S. in 2018 in a multi-scale map (by state, county, ZIP Code, tract, and block group). The pop-up is configured to include the following information for each geography level:Total crime indexPersonal and Property crime indices Sub-categories of personal and property crime indicesThe values are all referenced by an index value. The index values for the US level are 100, representing average crime for the country. A value of more than 100 represents higher crime than the national average, and a value of less than 100 represents lower crime than the national average. For example, an index of 120 implies that crime in the area is 20 percent higher than the US average; an index of 80 implies that crime is 20 percent lower than the US average.Additional Esri Resources:Esri DemographicsU.S. 2018/2023 Esri Updated DemographicsEssential demographic vocabularyEsri's arcgis.com demographic map layers

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