41 datasets found
  1. Reported violent crime rate U.S. 2023, by state

    • statista.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista, Reported violent crime rate U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/200445/reported-violent-crime-rate-in-the-us-states/
    Explore at:
    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.

  2. d

    Replication Data for: Lawful Handgun Licensing, Population Density, Poverty,...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Oct 28, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Freeman, Daniel J. (2025). Replication Data for: Lawful Handgun Licensing, Population Density, Poverty, Police Staffing, and Violent Crime: A Two-Cohort Comparison of U.S. Jurisdictions (2023–2024) [Dataset]. http://doi.org/10.7910/DVN/1MAHC7
    Explore at:
    Dataset updated
    Oct 28, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Freeman, Daniel J.
    Description

    This dataset supports the manuscript Lawful Handgun Licensing, Population Density, Poverty, Police Staffing, and Violent Crime: A Two-Cohort Comparison of U.S. Jurisdictions (2023–2024). It contains processed violent crime counts, rates per 100,000, population denominators, poverty statistics, and police staffing levels for two cohorts of U.S. jurisdictions. Cohort A includes counties with high levels of licensed handgun ownership (Brevard FL, Macomb MI, Genesee MI, Sumner TN, Sullivan TN, Pierce WA). Cohort B includes restrictive licensing jurisdictions (New York City, Los Angeles, San Francisco, Washington DC, Boston). The package includes: County/city-level violent crime counts for homicide, rape, robbery, and aggravated assault (2023–2024). Population denominators (2024 Census estimates). Derived violent crime rates per 100,000. Poverty measures and law enforcement officer staffing rates. Python replication script to regenerate tables and figures used in the study. Accessed data sources: FBI Crime Data Explorer, Major Cities Chiefs Association, NYPD annual tables, FDLE FIBRS, Michigan MICR, Tennessee Bureau of Investigation, Washington Association of Sheriffs and Police Chiefs, and U.S. Census QuickFacts. Data pulled on August 27, 28, and 30, 2025.

  3. Impact of Rape Reform Legislation in Six Major Urban Jurisdictions in the...

    • icpsr.umich.edu
    • datasets.ai
    • +1more
    ascii, sas, spss +1
    Updated Mar 30, 2006
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Horney, Julie; Spohn, Cassia (2006). Impact of Rape Reform Legislation in Six Major Urban Jurisdictions in the United States, 1970-1985 [Dataset]. http://doi.org/10.3886/ICPSR06923.v1
    Explore at:
    ascii, spss, sas, stataAvailable download formats
    Dataset updated
    Mar 30, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Horney, Julie; Spohn, Cassia
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/6923/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/6923/terms

    Time period covered
    1970 - 1985
    Area covered
    United States
    Description

    Despite the fact that most states enacted rape reform legislation by the mid-1980s, empirical research on the effect of these laws was conducted in only four states and for a limited time span following the reform. The purpose of this study was to provide both increased breadth and depth of information about the effect of the rape law changes and the legal issues that surround them. Statistical data on all rape cases between 1970 and 1985 in Atlanta, Chicago, Detroit, Houston, Philadelphia, and Washington, DC, were collected from court records. Monthly time-series analyses were used to assess the impact of the reforms on rape reporting, indictments, convictions, incarcerations, and sentences. The study also sought to determine if particular changes, or particular combinations of changes, affected the case processing and disposition of sexual assault cases and whether the effect of the reforms varied with the comprehensiveness of the changes. In each jurisdiction, data were collected on all forcible rape cases for which an indictment or information was filed. In addition to forcible rape, other felony sexual assaults that did not involve children were included. The names and definitions of these crimes varied from jurisdiction to jurisdiction. To compare the pattern of rape reports with general crime trends, reports of robbery and felony assaults during the same general time period were also obtained from the Uniform Crime Reports (UCR) from the Federal Bureau of Investigation when available. For the adjudicated case data (Parts 1, 3, 5, 7, 9, and 11), variables include month and year of offense, indictment, disposition, four most serious offenses charged, total number of charges indicted, four most serious conviction charges, total number of conviction charges, type of disposition, type of sentence, and maximum jail or prison sentence. The time series data (Parts 2, 4, 6, 8, 10, and 12) provide year and month of indictment, total indictments for rape only and for all sex offenses, total convictions and incarcerations for all rape cases in the month, for those on the original rape charge, for all sex offenses in the month, and for those on the original sex offense charge, percents for each indictment, conviction, and incarceration category, the average maximum sentence for each incarceration category, and total police reports of forcible rape in the month. Interviews were also conducted in each site with judges, prosecutors, and defense attorneys, and this information is presented in Part 13. These interviewees were asked to rate the importance of various types of evidence in sexual assault cases and to respond to a series of six hypothetical cases in which evidence of the victim's past sexual history was at issue. Respondents were also presented with a hypothetical case for which some factors were varied to create 12 different scenarios, and they were asked to make a set of judgments about each. Interview data also include respondent's title, sex, race, age, number of years in office, and whether the respondent was in office before and/or after the reform.

  4. d

    Mass Killings in America, 2006 - present

    • data.world
    csv, zip
    Updated Dec 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    The Associated Press (2025). Mass Killings in America, 2006 - present [Dataset]. https://data.world/associatedpress/mass-killings-public
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Dec 1, 2025
    Authors
    The Associated Press
    Time period covered
    Jan 1, 2006 - Nov 29, 2025
    Area covered
    Description

    THIS DATASET WAS LAST UPDATED AT 7:11 AM EASTERN ON DEC. 1

    OVERVIEW

    2019 had the most mass killings since at least the 1970s, according to the Associated Press/USA TODAY/Northeastern University Mass Killings Database.

    In all, there were 45 mass killings, defined as when four or more people are killed excluding the perpetrator. Of those, 33 were mass shootings . This summer was especially violent, with three high-profile public mass shootings occurring in the span of just four weeks, leaving 38 killed and 66 injured.

    A total of 229 people died in mass killings in 2019.

    The AP's analysis found that more than 50% of the incidents were family annihilations, which is similar to prior years. Although they are far less common, the 9 public mass shootings during the year were the most deadly type of mass murder, resulting in 73 people's deaths, not including the assailants.

    One-third of the offenders died at the scene of the killing or soon after, half from suicides.

    About this Dataset

    The Associated Press/USA TODAY/Northeastern University Mass Killings database tracks all U.S. homicides since 2006 involving four or more people killed (not including the offender) over a short period of time (24 hours) regardless of weapon, location, victim-offender relationship or motive. The database includes information on these and other characteristics concerning the incidents, offenders, and victims.

    The AP/USA TODAY/Northeastern database represents the most complete tracking of mass murders by the above definition currently available. Other efforts, such as the Gun Violence Archive or Everytown for Gun Safety may include events that do not meet our criteria, but a review of these sites and others indicates that this database contains every event that matches the definition, including some not tracked by other organizations.

    This data will be updated periodically and can be used as an ongoing resource to help cover these events.

    Using this Dataset

    To get basic counts of incidents of mass killings and mass shootings by year nationwide, use these queries:

    Mass killings by year

    Mass shootings by year

    To get these counts just for your state:

    Filter killings by state

    Definition of "mass murder"

    Mass murder is defined as the intentional killing of four or more victims by any means within a 24-hour period, excluding the deaths of unborn children and the offender(s). The standard of four or more dead was initially set by the FBI.

    This definition does not exclude cases based on method (e.g., shootings only), type or motivation (e.g., public only), victim-offender relationship (e.g., strangers only), or number of locations (e.g., one). The time frame of 24 hours was chosen to eliminate conflation with spree killers, who kill multiple victims in quick succession in different locations or incidents, and to satisfy the traditional requirement of occurring in a “single incident.”

    Offenders who commit mass murder during a spree (before or after committing additional homicides) are included in the database, and all victims within seven days of the mass murder are included in the victim count. Negligent homicides related to driving under the influence or accidental fires are excluded due to the lack of offender intent. Only incidents occurring within the 50 states and Washington D.C. are considered.

    Methodology

    Project researchers first identified potential incidents using the Federal Bureau of Investigation’s Supplementary Homicide Reports (SHR). Homicide incidents in the SHR were flagged as potential mass murder cases if four or more victims were reported on the same record, and the type of death was murder or non-negligent manslaughter.

    Cases were subsequently verified utilizing media accounts, court documents, academic journal articles, books, and local law enforcement records obtained through Freedom of Information Act (FOIA) requests. Each data point was corroborated by multiple sources, which were compiled into a single document to assess the quality of information.

    In case(s) of contradiction among sources, official law enforcement or court records were used, when available, followed by the most recent media or academic source.

    Case information was subsequently compared with every other known mass murder database to ensure reliability and validity. Incidents listed in the SHR that could not be independently verified were excluded from the database.

    Project researchers also conducted extensive searches for incidents not reported in the SHR during the time period, utilizing internet search engines, Lexis-Nexis, and Newspapers.com. Search terms include: [number] dead, [number] killed, [number] slain, [number] murdered, [number] homicide, mass murder, mass shooting, massacre, rampage, family killing, familicide, and arson murder. Offender, victim, and location names were also directly searched when available.

    This project started at USA TODAY in 2012.

    Contacts

    Contact AP Data Editor Justin Myers with questions, suggestions or comments about this dataset at jmyers@ap.org. The Northeastern University researcher working with AP and USA TODAY is Professor James Alan Fox, who can be reached at j.fox@northeastern.edu or 617-416-4400.

  5. d

    Crime Mapper: Kingston (DC) Local Government Area

    • data.gov.au
    • data.wu.ac.at
    html
    Updated Jul 13, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Attorney-General's Department (2016). Crime Mapper: Kingston (DC) Local Government Area [Dataset]. https://data.gov.au/dataset/f7d03fcc-72e1-4e2d-a3b0-0ebde9201741
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jul 13, 2016
    Dataset provided by
    Attorney-General's Department of Australiahttp://www.ag.gov.au/
    License

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

    Description

    Crime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: Number of offences - provides a count of all offences listed on all incident reports recorded by South Australia Police . Rate per 1,000 estimated resident population - provides the number of offences as a rate per 1,000 population residing in each given location. Offences are categorised as follows: • Offences against the person …Show full descriptionCrime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: Number of offences - provides a count of all offences listed on all incident reports recorded by South Australia Police . Rate per 1,000 estimated resident population - provides the number of offences as a rate per 1,000 population residing in each given location. Offences are categorised as follows: • Offences against the person (homicide; major assault; other); • Sexual offences (rape; indecent assault; unlawful sexual intercourse; other); • Robbery and extortion offences (armed robbery; unarmed robbery; extortion); • Offences against property (serious criminal trespass/break and enter; fraud and misappropriation; receiving/illegal possession of stolen goods; larceny/illegal use of a motor vehicle; other larceny; larceny from shops; larceny from a motor vehicle; arson/explosives; property damage and environmental offences); • Offences against good order; • Drug offences (possess/use drugs; sell/trade drugs; produce/manufacture drugs; possess implement for drug use; other); • Driving offences (driving under the influence of alcohol/drugs; dangerous driving; driving licence offences; traffic offences; motor vehicle registration offences; other); or • Other offences. When using Crime Mapper it is important to understand that the statistics it contains may not provide an accurate measure of the true prevalence or incidence of crime in a community. Crime Mapper statistics represent only those offences reported to police or which come to the attention of police. They can, therefore, be influenced by a number of factors, including victim reporting rates, the identification or detection of offences by police (in the case of ‘victimless’ crimes) and police interpretation and decision as to whether a crime has occurred. In addition, Crime Mapper does not include offences that are dealt with by way of expiation (e.g., speeding, littering, etc.). Please also see explanatory notes: http://www.ocsar.sa.gov.au/about2.html

  6. w

    Crime Mapper: Robe (DC) Local Government Area

    • data.wu.ac.at
    • data.gov.au
    html
    Updated Oct 27, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    South Australian Governments (2016). Crime Mapper: Robe (DC) Local Government Area [Dataset]. https://data.wu.ac.at/schema/data_gov_au/YTUyMWJiZjUtZTY1Yi00Yjg2LTgwNDctZmMyNDI0YzE4Zjg4
    Explore at:
    html(76858.0)Available download formats
    Dataset updated
    Oct 27, 2016
    Dataset provided by
    South Australian Governments
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    Crime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: 1. Number of offences - provides a count of all offences listed on all incident reports recorded by South Australia Police . 2. Rate per 1,000 estimated resident population - provides the number of offences as a rate per 1,000 population residing in each given location. Offences are categorised as follows: • Offences against the person (homicide; major assault; other); • Sexual offences (rape; indecent assault; unlawful sexual intercourse; other); • Robbery and extortion offences (armed robbery; unarmed robbery; extortion); • Offences against property (serious criminal trespass/break and enter; fraud and misappropriation; receiving/illegal possession of stolen goods; larceny/illegal use of a motor vehicle; other larceny; larceny from shops; larceny from a motor vehicle; arson/explosives; property damage and environmental offences); • Offences against good order; • Drug offences (possess/use drugs; sell/trade drugs; produce/manufacture drugs; possess implement for drug use; other); • Driving offences (driving under the influence of alcohol/drugs; dangerous driving; driving licence offences; traffic offences; motor vehicle registration offences; other); or • Other offences. When using Crime Mapper it is important to understand that the statistics it contains may not provide an accurate measure of the true prevalence or incidence of crime in a community. Crime Mapper statistics represent only those offences reported to police or which come to the attention of police. They can, therefore, be influenced by a number of factors, including victim reporting rates, the identification or detection of offences by police (in the case of ‘victimless’ crimes) and police interpretation and decision as to whether a crime has occurred. In addition, Crime Mapper does not include offences that are dealt with by way of expiation (e.g., speeding, littering, etc.). Please also see explanatory notes: http://www.ocsar.sa.gov.au/about2.html

  7. d

    Crime Mapper: Elliston (DC) Local Government Area

    • data.gov.au
    • data.wu.ac.at
    html
    Updated Jul 13, 2016
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Attorney-General's Department (2016). Crime Mapper: Elliston (DC) Local Government Area [Dataset]. https://data.gov.au/dataset/772ca66b-236f-4205-b7d2-0c31b1a394f9
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jul 13, 2016
    Dataset provided by
    Attorney-General's Department of Australiahttp://www.ag.gov.au/
    License

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

    Description

    Crime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: Number of offences - provides a count of all offences listed on all incident reports recorded by South Australia Police . Rate per 1,000 estimated resident population - provides the number of offences as a rate per 1,000 population residing in each given location. Offences are categorised as follows: • Offences against the person …Show full descriptionCrime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: Number of offences - provides a count of all offences listed on all incident reports recorded by South Australia Police . Rate per 1,000 estimated resident population - provides the number of offences as a rate per 1,000 population residing in each given location. Offences are categorised as follows: • Offences against the person (homicide; major assault; other); • Sexual offences (rape; indecent assault; unlawful sexual intercourse; other); • Robbery and extortion offences (armed robbery; unarmed robbery; extortion); • Offences against property (serious criminal trespass/break and enter; fraud and misappropriation; receiving/illegal possession of stolen goods; larceny/illegal use of a motor vehicle; other larceny; larceny from shops; larceny from a motor vehicle; arson/explosives; property damage and environmental offences); • Offences against good order; • Drug offences (possess/use drugs; sell/trade drugs; produce/manufacture drugs; possess implement for drug use; other); • Driving offences (driving under the influence of alcohol/drugs; dangerous driving; driving licence offences; traffic offences; motor vehicle registration offences; other); or • Other offences. When using Crime Mapper it is important to understand that the statistics it contains may not provide an accurate measure of the true prevalence or incidence of crime in a community. Crime Mapper statistics represent only those offences reported to police or which come to the attention of police. They can, therefore, be influenced by a number of factors, including victim reporting rates, the identification or detection of offences by police (in the case of ‘victimless’ crimes) and police interpretation and decision as to whether a crime has occurred. In addition, Crime Mapper does not include offences that are dealt with by way of expiation (e.g., speeding, littering, etc.). Please also see explanatory notes: http://www.ocsar.sa.gov.au/about2.html

  8. w

    Crime Mapper: Wakefield (DC) Local Government Area

    • data.wu.ac.at
    • data.gov.au
    html
    Updated Oct 27, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    South Australian Governments (2016). Crime Mapper: Wakefield (DC) Local Government Area [Dataset]. https://data.wu.ac.at/schema/data_gov_au/Yjc0OGUyMjMtYzQxYy00ZmQ5LWExMDItNGFhMGJmNjE2YTEx
    Explore at:
    html(77868.0)Available download formats
    Dataset updated
    Oct 27, 2016
    Dataset provided by
    South Australian Governments
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    Crime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: 1. Number of offences - provides a count of all offences listed on all incident reports recorded by South Australia Police . 2. Rate per 1,000 estimated resident population - provides the number of offences as a rate per 1,000 population residing in each given location. Offences are categorised as follows: • Offences against the person (homicide; major assault; other); • Sexual offences (rape; indecent assault; unlawful sexual intercourse; other); • Robbery and extortion offences (armed robbery; unarmed robbery; extortion); • Offences against property (serious criminal trespass/break and enter; fraud and misappropriation; receiving/illegal possession of stolen goods; larceny/illegal use of a motor vehicle; other larceny; larceny from shops; larceny from a motor vehicle; arson/explosives; property damage and environmental offences); • Offences against good order; • Drug offences (possess/use drugs; sell/trade drugs; produce/manufacture drugs; possess implement for drug use; other); • Driving offences (driving under the influence of alcohol/drugs; dangerous driving; driving licence offences; traffic offences; motor vehicle registration offences; other); or • Other offences. When using Crime Mapper it is important to understand that the statistics it contains may not provide an accurate measure of the true prevalence or incidence of crime in a community. Crime Mapper statistics represent only those offences reported to police or which come to the attention of police. They can, therefore, be influenced by a number of factors, including victim reporting rates, the identification or detection of offences by police (in the case of ‘victimless’ crimes) and police interpretation and decision as to whether a crime has occurred. In addition, Crime Mapper does not include offences that are dealt with by way of expiation (e.g., speeding, littering, etc.). Please also see explanatory notes: http://www.ocsar.sa.gov.au/about2.html

  9. o

    Uniform Crime Reporting Program Data: Offenses Known and Clearances by...

    • openicpsr.org
    Updated Jun 5, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jacob Kaplan (2017). Uniform Crime Reporting Program Data: Offenses Known and Clearances by Arrest, 1960-2016 [Dataset]. http://doi.org/10.3886/E100707V6
    Explore at:
    Dataset updated
    Jun 5, 2017
    Dataset provided by
    University of Pennsylvania
    Authors
    Jacob Kaplan
    License

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

    Time period covered
    1960 - 2016
    Area covered
    United States
    Description

    V6 release notes: Fix bug where Philadelphia Police Department had incorrect FIPS county code. V5 release notes: Changes the word "larceny" to "theft" in column names - eg. from "act_larceny" to "act_theft."Fixes bug where state abbrebation was NA for Washington D.C., Puerto Rico, Guam, and the Canal Zone.Fixes bug where officers_killed_by_accident was not appearing in yearly data. Note that 1979 does not have any officers killed (by felony or accident) or officers assaulted data.Adds aggravated assault columns to the monthly data. Aggravated assault is the sum of all assaults other than simple assault (assaults using gun, knife, hand/feet, and other weapon). Note that summing all crime columns to get a total crime count will double count aggravated assault as it is already the sum of existing columns. Reorder columns to put all month descriptors (e.g. "jan_month_included", "jan_card_1_type") before any crime data.Due to extremely irregular data in the unfounded columns for New Orleans (ORI = LANPD00) for years 2014-2016, I have change all unfounded column data for New Orleans for these years to NA. As an example, New Orleans reported about 45,000 unfounded total burglaries in 2016 (the 3rd highest they ever reported). This is 18 times largest than the number of actual total burglaries they reported that year (2,561) and nearly 8 times larger than the next largest reported unfounded total burglaries in any agency or year. Prior to 2014 there were no more than 10 unfounded total burglaries reported in New Orleans in any year. There were 10 obvious data entry errors in officers killed by felony/accident that I changed to NA.In 1974 the agency "Boston" (ORI = MA01301) reported 23 officers killed by accident during November.In 1978 the agency "Pittsburgh" (ORI = PAPPD00) reported 576 officers killed by accident during March.In 1978 the agency "Bronx Transit Authority" (ORI = NY06240) reported 56 officers killed by accident during April.In 1978 the agency "Bronx Transit Authority" (ORI = NY06240) reported 56 officers killed by accident during June.In 1978 the agency "Bronx Transit Authority" (ORI = NY06240) reported 56 officers killed by felony during April.In 1978 the agency "Bronx Transit Authority" (ORI = NY06240) reported 56 officers killed by felony during June.In 1978 the agency "Queens Transit Authority" (ORI = NY04040) reported 56 officers killed by accident during May.In 1978 the agency "Queens Transit Authority" (ORI = NY04040) reported 56 officers killed by felony during May.In 1996 the agency "Ruston" in Louisiana (ORI = LA03102) reported 30 officers killed by felony during September.In 1997 the agency "Washington University" in Missouri (ORI = MO0950E) reported 26 officers killed by felony during March.V4 release notes: Merges data with LEAIC data to add FIPS codes, census codes, agency type variables, and ORI9 variable.Makes all column names lowercase.Change some variable namesMakes values in character columns lowercase.Adds months_reported variable to yearly data.Combines monthly and yearly files into a single zip file (per data type).V3 release notes: fixes a bug in Version 2 where 1993 data did not properly deal with missing values, leading to enormous counts of crime being reported. Summary: This is a collection of Offenses Known and Clearances By Arrest data from 1960 to 2016. Each zip file contains monthly and yearly data files. The monthly files contain one data file per year (57 total, 1960-2016) as well as a codebook for each year. These files have been read into R using the ASCII and setup files from ICPSR (or from the FBI for 2016 data) using the package asciiSetupReader. The end of the zip folder's name says what data type (R, SPSS, SAS, Microsoft Excel CSV, Stata) the data is in. The files are lightly cleaned. What this means specifically is that column names and value labels are standardized. In the original data column names were different between years (e.g. the December burglaries cleared column is "DEC_TOT_CLR_BRGLRY_TOT" in 1975 and "DEC_TOT_CLR_BURG_TOTAL" in 1977). The data here have standardized columns so you can compare between years and combine years together. The same thing is done for values inside of columns. For example, the state column gave state names in some years, abbreviations in others. For the code uses to clean and read the data, please see my GitHub file h

  10. w

    Crime Mapper: Alexandrina (DC) Local Government Area

    • data.wu.ac.at
    • data.gov.au
    html
    Updated Jul 14, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Attorney-General's Dept (2016). Crime Mapper: Alexandrina (DC) Local Government Area [Dataset]. https://data.wu.ac.at/schema/data_sa_gov_au/YzUyOGQ1ZDEtNDc4NC00NjgwLWIxMGItZDYxMTk2ZDRlOTNi
    Explore at:
    html(78146.0)Available download formats
    Dataset updated
    Jul 14, 2016
    Dataset provided by
    Attorney-General's Dept
    License

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

    Description

    Crime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: 1. Number of offences - provides a count of all offences listed on all incident reports recorded by South Australia Police . 2. Rate per 1,000 estimated resident population - provides the number of offences as a rate per 1,000 population residing in each given location. Offences are categorised as follows: • Offences against the person (homicide; major assault; other); • Sexual offences (rape; indecent assault; unlawful sexual intercourse; other); • Robbery and extortion offences (armed robbery; unarmed robbery; extortion); • Offences against property (serious criminal trespass/break and enter; fraud and misappropriation; receiving/illegal possession of stolen goods; larceny/illegal use of a motor vehicle; other larceny; larceny from shops; larceny from a motor vehicle; arson/explosives; property damage and environmental offences); • Offences against good order; • Drug offences (possess/use drugs; sell/trade drugs; produce/manufacture drugs; possess implement for drug use; other); • Driving offences (driving under the influence of alcohol/drugs; dangerous driving; driving licence offences; traffic offences; motor vehicle registration offences; other); or • Other offences. When using Crime Mapper it is important to understand that the statistics it contains may not provide an accurate measure of the true prevalence or incidence of crime in a community. Crime Mapper statistics represent only those offences reported to police or which come to the attention of police. They can, therefore, be influenced by a number of factors, including victim reporting rates, the identification or detection of offences by police (in the case of ‘victimless’ crimes) and police interpretation and decision as to whether a crime has occurred. In addition, Crime Mapper does not include offences that are dealt with by way of expiation (e.g., speeding, littering, etc.). Please also see explanatory notes: http://www.ocsar.sa.gov.au/about2.html

  11. d

    Crime Mapper: Mid Murray (DC) Local Government Area

    • data.gov.au
    • data.wu.ac.at
    html
    Updated Jul 13, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Attorney-General's Department (2016). Crime Mapper: Mid Murray (DC) Local Government Area [Dataset]. https://data.gov.au/dataset/ds-sa-7a86206e-565d-4704-a993-5e2537c47973
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jul 13, 2016
    Dataset provided by
    Attorney-General's Department of Australiahttp://www.ag.gov.au/
    License

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

    Area covered
    Mid Murray Council
    Description

    Crime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: Number of offences - provides a count of all offences listed on all incident reports recorded by South Australia Police . Rate per 1,000 estimated resident population - provides the number of offences as a rate per 1,000 population residing in each given location. Offences are categorised as follows: • Offences against the person …Show full descriptionCrime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: Number of offences - provides a count of all offences listed on all incident reports recorded by South Australia Police . Rate per 1,000 estimated resident population - provides the number of offences as a rate per 1,000 population residing in each given location. Offences are categorised as follows: • Offences against the person (homicide; major assault; other); • Sexual offences (rape; indecent assault; unlawful sexual intercourse; other); • Robbery and extortion offences (armed robbery; unarmed robbery; extortion); • Offences against property (serious criminal trespass/break and enter; fraud and misappropriation; receiving/illegal possession of stolen goods; larceny/illegal use of a motor vehicle; other larceny; larceny from shops; larceny from a motor vehicle; arson/explosives; property damage and environmental offences); • Offences against good order; • Drug offences (possess/use drugs; sell/trade drugs; produce/manufacture drugs; possess implement for drug use; other); • Driving offences (driving under the influence of alcohol/drugs; dangerous driving; driving licence offences; traffic offences; motor vehicle registration offences; other); or • Other offences. When using Crime Mapper it is important to understand that the statistics it contains may not provide an accurate measure of the true prevalence or incidence of crime in a community. Crime Mapper statistics represent only those offences reported to police or which come to the attention of police. They can, therefore, be influenced by a number of factors, including victim reporting rates, the identification or detection of offences by police (in the case of ‘victimless’ crimes) and police interpretation and decision as to whether a crime has occurred. In addition, Crime Mapper does not include offences that are dealt with by way of expiation (e.g., speeding, littering, etc.). Please also see explanatory notes: http://www.ocsar.sa.gov.au/about2.html

  12. d

    Crime Mapper: Goyder (DC) Local Government Area

    • data.gov.au
    • data.wu.ac.at
    html
    Updated Jul 13, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Attorney-General's Department (2016). Crime Mapper: Goyder (DC) Local Government Area [Dataset]. https://data.gov.au/dataset/b73e0996-72d2-42f4-8543-42a6510f0082
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jul 13, 2016
    Dataset provided by
    Attorney-General's Department of Australiahttp://www.ag.gov.au/
    License

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

    Description

    Crime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: Number of offences - provides a …Show full descriptionCrime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: Number of offences - provides a count of all offences listed on all incident reports recorded by South Australia Police . Rate per 1,000 estimated resident population - provides the number of offences as a rate per 1,000 population residing in each given location. Offences are categorised as follows: • Offences against the person (homicide; major assault; other); • Sexual offences (rape; indecent assault; unlawful sexual intercourse; other); • Robbery and extortion offences (armed robbery; unarmed robbery; extortion); • Offences against property (serious criminal trespass/break and enter; fraud and misappropriation; receiving/illegal possession of stolen goods; larceny/illegal use of a motor vehicle; other larceny; larceny from shops; larceny from a motor vehicle; arson/explosives; property damage and environmental offences); • Offences against good order; • Drug offences (possess/use drugs; sell/trade drugs; produce/manufacture drugs; possess implement for drug use; other); • Driving offences (driving under the influence of alcohol/drugs; dangerous driving; driving licence offences; traffic offences; motor vehicle registration offences; other); or • Other offences. When using Crime Mapper it is important to understand that the statistics it contains may not provide an accurate measure of the true prevalence or incidence of crime in a community. Crime Mapper statistics represent only those offences reported to police or which come to the attention of police. They can, therefore, be influenced by a number of factors, including victim reporting rates, the identification or detection of offences by police (in the case of ‘victimless’ crimes) and police interpretation and decision as to whether a crime has occurred. In addition, Crime Mapper does not include offences that are dealt with by way of expiation (e.g., speeding, littering, etc.). Please also see explanatory notes: http://www.ocsar.sa.gov.au/about2.html

  13. d

    Crime Mapper: Berri and Barmera (DC) Local Government Area

    • data.gov.au
    html
    Updated Jul 13, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Attorney-General's Department (2016). Crime Mapper: Berri and Barmera (DC) Local Government Area [Dataset]. https://data.gov.au/dataset/ds-sa-48935b42-5b29-4432-a7f9-f0c35a75fea8/details
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jul 13, 2016
    Dataset provided by
    Attorney-General's Department of Australiahttp://www.ag.gov.au/
    License

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

    Area covered
    Barmera, Berri
    Description

    Crime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: Number of offences - provides a …Show full descriptionCrime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: Number of offences - provides a count of all offences listed on all incident reports recorded by South Australia Police . Rate per 1,000 estimated resident population - provides the number of offences as a rate per 1,000 population residing in each given location. Offences are categorised as follows: • Offences against the person (homicide; major assault; other); • Sexual offences (rape; indecent assault; unlawful sexual intercourse; other); • Robbery and extortion offences (armed robbery; unarmed robbery; extortion); • Offences against property (serious criminal trespass/break and enter; fraud and misappropriation; receiving/illegal possession of stolen goods; larceny/illegal use of a motor vehicle; other larceny; larceny from shops; larceny from a motor vehicle; arson/explosives; property damage and environmental offences); • Offences against good order; • Drug offences (possess/use drugs; sell/trade drugs; produce/manufacture drugs; possess implement for drug use; other); • Driving offences (driving under the influence of alcohol/drugs; dangerous driving; driving licence offences; traffic offences; motor vehicle registration offences; other); or • Other offences. When using Crime Mapper it is important to understand that the statistics it contains may not provide an accurate measure of the true prevalence or incidence of crime in a community. Crime Mapper statistics represent only those offences reported to police or which come to the attention of police. They can, therefore, be influenced by a number of factors, including victim reporting rates, the identification or detection of offences by police (in the case of ‘victimless’ crimes) and police interpretation and decision as to whether a crime has occurred. In addition, Crime Mapper does not include offences that are dealt with by way of expiation (e.g., speeding, littering, etc.). Please also see explanatory notes: http://www.ocsar.sa.gov.au/about2.html

  14. d

    Crime Mapper: Clare and Gilbert Valleys (DC) Local Government Area

    • data.gov.au
    • data.wu.ac.at
    html
    Updated Jul 13, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Attorney-General's Department (2016). Crime Mapper: Clare and Gilbert Valleys (DC) Local Government Area [Dataset]. https://data.gov.au/dataset/2984bbc7-ad05-4489-952e-15f8aed49e69
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jul 13, 2016
    Dataset provided by
    Attorney-General's Department of Australiahttp://www.ag.gov.au/
    License

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

    Area covered
    Clare and Gilbert Valleys Council
    Description

    Crime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: Number of offences - provides a …Show full descriptionCrime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: Number of offences - provides a count of all offences listed on all incident reports recorded by South Australia Police . Rate per 1,000 estimated resident population - provides the number of offences as a rate per 1,000 population residing in each given location. Offences are categorised as follows: • Offences against the person (homicide; major assault; other); • Sexual offences (rape; indecent assault; unlawful sexual intercourse; other); • Robbery and extortion offences (armed robbery; unarmed robbery; extortion); • Offences against property (serious criminal trespass/break and enter; fraud and misappropriation; receiving/illegal possession of stolen goods; larceny/illegal use of a motor vehicle; other larceny; larceny from shops; larceny from a motor vehicle; arson/explosives; property damage and environmental offences); • Offences against good order; • Drug offences (possess/use drugs; sell/trade drugs; produce/manufacture drugs; possess implement for drug use; other); • Driving offences (driving under the influence of alcohol/drugs; dangerous driving; driving licence offences; traffic offences; motor vehicle registration offences; other); or • Other offences. When using Crime Mapper it is important to understand that the statistics it contains may not provide an accurate measure of the true prevalence or incidence of crime in a community. Crime Mapper statistics represent only those offences reported to police or which come to the attention of police. They can, therefore, be influenced by a number of factors, including victim reporting rates, the identification or detection of offences by police (in the case of ‘victimless’ crimes) and police interpretation and decision as to whether a crime has occurred. In addition, Crime Mapper does not include offences that are dealt with by way of expiation (e.g., speeding, littering, etc.). Please also see explanatory notes: http://www.ocsar.sa.gov.au/about2.html

  15. w

    Crime Mapper: Renmark Paringa (DC) Local Government Area

    • data.wu.ac.at
    • data.gov.au
    html
    Updated Oct 27, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    South Australian Governments (2016). Crime Mapper: Renmark Paringa (DC) Local Government Area [Dataset]. https://data.wu.ac.at/odso/data_gov_au/Y2E4NmI2NGUtMzY1MS00NWJmLTk4YWQtMDFhM2MxYTlhNTVm
    Explore at:
    html(78018.0)Available download formats
    Dataset updated
    Oct 27, 2016
    Dataset provided by
    South Australian Governments
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    Crime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: 1. Number of offences - provides a count of all offences listed on all incident reports recorded by South Australia Police . 2. Rate per 1,000 estimated resident population - provides the number of offences as a rate per 1,000 population residing in each given location. Offences are categorised as follows: • Offences against the person (homicide; major assault; other); • Sexual offences (rape; indecent assault; unlawful sexual intercourse; other); • Robbery and extortion offences (armed robbery; unarmed robbery; extortion); • Offences against property (serious criminal trespass/break and enter; fraud and misappropriation; receiving/illegal possession of stolen goods; larceny/illegal use of a motor vehicle; other larceny; larceny from shops; larceny from a motor vehicle; arson/explosives; property damage and environmental offences); • Offences against good order; • Drug offences (possess/use drugs; sell/trade drugs; produce/manufacture drugs; possess implement for drug use; other); • Driving offences (driving under the influence of alcohol/drugs; dangerous driving; driving licence offences; traffic offences; motor vehicle registration offences; other); or • Other offences. When using Crime Mapper it is important to understand that the statistics it contains may not provide an accurate measure of the true prevalence or incidence of crime in a community. Crime Mapper statistics represent only those offences reported to police or which come to the attention of police. They can, therefore, be influenced by a number of factors, including victim reporting rates, the identification or detection of offences by police (in the case of ‘victimless’ crimes) and police interpretation and decision as to whether a crime has occurred. In addition, Crime Mapper does not include offences that are dealt with by way of expiation (e.g., speeding, littering, etc.). Please also see explanatory notes: http://www.ocsar.sa.gov.au/about2.html

  16. w

    Crime Mapper: Wattle Range (DC) Local Government Area

    • data.wu.ac.at
    html
    Updated Oct 27, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    South Australian Governments (2016). Crime Mapper: Wattle Range (DC) Local Government Area [Dataset]. https://data.wu.ac.at/odso/data_gov_au/ZDNiYzRkNDAtM2ZiNi00NWI4LWIyNWQtMmM4OGZiOTJlOTE3
    Explore at:
    html(77880.0)Available download formats
    Dataset updated
    Oct 27, 2016
    Dataset provided by
    South Australian Governments
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    Crime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: 1. Number of offences - provides a count of all offences listed on all incident reports recorded by South Australia Police . 2. Rate per 1,000 estimated resident population - provides the number of offences as a rate per 1,000 population residing in each given location. Offences are categorised as follows: • Offences against the person (homicide; major assault; other); • Sexual offences (rape; indecent assault; unlawful sexual intercourse; other); • Robbery and extortion offences (armed robbery; unarmed robbery; extortion); • Offences against property (serious criminal trespass/break and enter; fraud and misappropriation; receiving/illegal possession of stolen goods; larceny/illegal use of a motor vehicle; other larceny; larceny from shops; larceny from a motor vehicle; arson/explosives; property damage and environmental offences); • Offences against good order; • Drug offences (possess/use drugs; sell/trade drugs; produce/manufacture drugs; possess implement for drug use; other); • Driving offences (driving under the influence of alcohol/drugs; dangerous driving; driving licence offences; traffic offences; motor vehicle registration offences; other); or • Other offences. When using Crime Mapper it is important to understand that the statistics it contains may not provide an accurate measure of the true prevalence or incidence of crime in a community. Crime Mapper statistics represent only those offences reported to police or which come to the attention of police. They can, therefore, be influenced by a number of factors, including victim reporting rates, the identification or detection of offences by police (in the case of ‘victimless’ crimes) and police interpretation and decision as to whether a crime has occurred. In addition, Crime Mapper does not include offences that are dealt with by way of expiation (e.g., speeding, littering, etc.). Please also see explanatory notes: http://www.ocsar.sa.gov.au/about2.html

  17. w

    Crime Mapper: Yankalilla (DC) Local Government Area

    • data.wu.ac.at
    • data.gov.au
    html
    Updated Oct 27, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    South Australian Governments (2016). Crime Mapper: Yankalilla (DC) Local Government Area [Dataset]. https://data.wu.ac.at/odso/data_gov_au/NDdmNjk1ZDUtYmEyNC00OTQ2LWE0YTQtNmZkY2M1ODk1ZGM3
    Explore at:
    html(77782.0)Available download formats
    Dataset updated
    Oct 27, 2016
    Dataset provided by
    South Australian Governments
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    Crime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: 1. Number of offences - provides a count of all offences listed on all incident reports recorded by South Australia Police . 2. Rate per 1,000 estimated resident population - provides the number of offences as a rate per 1,000 population residing in each given location. Offences are categorised as follows: • Offences against the person (homicide; major assault; other); • Sexual offences (rape; indecent assault; unlawful sexual intercourse; other); • Robbery and extortion offences (armed robbery; unarmed robbery; extortion); • Offences against property (serious criminal trespass/break and enter; fraud and misappropriation; receiving/illegal possession of stolen goods; larceny/illegal use of a motor vehicle; other larceny; larceny from shops; larceny from a motor vehicle; arson/explosives; property damage and environmental offences); • Offences against good order; • Drug offences (possess/use drugs; sell/trade drugs; produce/manufacture drugs; possess implement for drug use; other); • Driving offences (driving under the influence of alcohol/drugs; dangerous driving; driving licence offences; traffic offences; motor vehicle registration offences; other); or • Other offences. When using Crime Mapper it is important to understand that the statistics it contains may not provide an accurate measure of the true prevalence or incidence of crime in a community. Crime Mapper statistics represent only those offences reported to police or which come to the attention of police. They can, therefore, be influenced by a number of factors, including victim reporting rates, the identification or detection of offences by police (in the case of ‘victimless’ crimes) and police interpretation and decision as to whether a crime has occurred. In addition, Crime Mapper does not include offences that are dealt with by way of expiation (e.g., speeding, littering, etc.). Please also see explanatory notes: http://www.ocsar.sa.gov.au/about2.html

  18. r

    Crime Mapper 2007-2011: The Coorong (DC) Local Government Area

    • researchdata.edu.au
    Updated Jul 1, 2014
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.sa.gov.au (2014). Crime Mapper 2007-2011: The Coorong (DC) Local Government Area [Dataset]. https://researchdata.edu.au/crime-mapper-2007-government-area/1953134
    Explore at:
    Dataset updated
    Jul 1, 2014
    Dataset provided by
    data.sa.gov.au
    License

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

    Area covered
    Coorong District Council
    Description

    Crime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: 1. Number of offences - provides a count of all offences listed on all incident reports recorded by South Australia Police . 2. Rate per 1,000 estimated resident population - provides the number of offences as a rate per 1,000 population residing in each given location. Offences are categorised as follows: • Offences against the person (homicide; major assault; other); • Sexual offences (rape; indecent assault; unlawful sexual intercourse; other); • Robbery and extortion offences (armed robbery; unarmed robbery; extortion); • Offences against property (serious criminal trespass/break and enter; fraud and misappropriation; receiving/illegal possession of stolen goods; larceny/illegal use of a motor vehicle; other larceny; larceny from shops; larceny from a motor vehicle; arson/explosives; property damage and environmental offences); • Offences against good order; • Drug offences (possess/use drugs; sell/trade drugs; produce/manufacture drugs; possess implement for drug use; other); • Driving offences (driving under the influence of alcohol/drugs; dangerous driving; driving licence offences; traffic offences; motor vehicle registration offences; other); or • Other offences. When using Crime Mapper it is important to understand that the statistics it contains may not provide an accurate measure of the true prevalence or incidence of crime in a community. Crime Mapper statistics represent only those offences reported to police or which come to the attention of police. They can, therefore, be influenced by a number of factors, including victim reporting rates, the identification or detection of offences by police (in the case of ‘victimless’ crimes) and police interpretation and decision as to whether a crime has occurred. In addition, Crime Mapper does not include offences that are dealt with by way of expiation (e.g., speeding, littering, etc.). Please also see explanatory notes: http://www.ocsar.sa.gov.au/about2.html

  19. w

    Crime Mapper: Barossa (DC) Local Government Area

    • data.wu.ac.at
    • data.gov.au
    html
    Updated Oct 27, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    South Australian Governments (2016). Crime Mapper: Barossa (DC) Local Government Area [Dataset]. https://data.wu.ac.at/odso/data_gov_au/MDZjZGNkYWItNDQwNy00Njc0LWI4ODQtODc3YThjMjNlY2Qw
    Explore at:
    html(78094.0)Available download formats
    Dataset updated
    Oct 27, 2016
    Dataset provided by
    South Australian Governments
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    Crime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: 1. Number of offences - provides a count of all offences listed on all incident reports recorded by South Australia Police . 2. Rate per 1,000 estimated resident population - provides the number of offences as a rate per 1,000 population residing in each given location. Offences are categorised as follows: • Offences against the person (homicide; major assault; other); • Sexual offences (rape; indecent assault; unlawful sexual intercourse; other); • Robbery and extortion offences (armed robbery; unarmed robbery; extortion); • Offences against property (serious criminal trespass/break and enter; fraud and misappropriation; receiving/illegal possession of stolen goods; larceny/illegal use of a motor vehicle; other larceny; larceny from shops; larceny from a motor vehicle; arson/explosives; property damage and environmental offences); • Offences against good order; • Drug offences (possess/use drugs; sell/trade drugs; produce/manufacture drugs; possess implement for drug use; other); • Driving offences (driving under the influence of alcohol/drugs; dangerous driving; driving licence offences; traffic offences; motor vehicle registration offences; other); or • Other offences. When using Crime Mapper it is important to understand that the statistics it contains may not provide an accurate measure of the true prevalence or incidence of crime in a community. Crime Mapper statistics represent only those offences reported to police or which come to the attention of police. They can, therefore, be influenced by a number of factors, including victim reporting rates, the identification or detection of offences by police (in the case of ‘victimless’ crimes) and police interpretation and decision as to whether a crime has occurred. In addition, Crime Mapper does not include offences that are dealt with by way of expiation (e.g., speeding, littering, etc.). Please also see explanatory notes: http://www.ocsar.sa.gov.au/about2.html

  20. d

    Crime Mapper: Kangaroo Island (DC) Local Government Area

    • data.gov.au
    html
    Updated Jul 13, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Attorney-General's Department (2016). Crime Mapper: Kangaroo Island (DC) Local Government Area [Dataset]. https://data.gov.au/dataset/ds-sa-80e32891-3ca9-448c-b232-9a0c3af6d596/details
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jul 13, 2016
    Dataset provided by
    Attorney-General's Department of Australiahttp://www.ag.gov.au/
    License

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

    Area covered
    Kangaroo Island
    Description

    Crime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: Number of offences - provides a count of all offences listed on all incident reports recorded by South Australia Police . Rate per 1,000 estimated resident population - provides the number of offences as a rate per 1,000 population residing in each given location. Offences are categorised as follows: • Offences against the person …Show full descriptionCrime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: Number of offences - provides a count of all offences listed on all incident reports recorded by South Australia Police . Rate per 1,000 estimated resident population - provides the number of offences as a rate per 1,000 population residing in each given location. Offences are categorised as follows: • Offences against the person (homicide; major assault; other); • Sexual offences (rape; indecent assault; unlawful sexual intercourse; other); • Robbery and extortion offences (armed robbery; unarmed robbery; extortion); • Offences against property (serious criminal trespass/break and enter; fraud and misappropriation; receiving/illegal possession of stolen goods; larceny/illegal use of a motor vehicle; other larceny; larceny from shops; larceny from a motor vehicle; arson/explosives; property damage and environmental offences); • Offences against good order; • Drug offences (possess/use drugs; sell/trade drugs; produce/manufacture drugs; possess implement for drug use; other); • Driving offences (driving under the influence of alcohol/drugs; dangerous driving; driving licence offences; traffic offences; motor vehicle registration offences; other); or • Other offences. When using Crime Mapper it is important to understand that the statistics it contains may not provide an accurate measure of the true prevalence or incidence of crime in a community. Crime Mapper statistics represent only those offences reported to police or which come to the attention of police. They can, therefore, be influenced by a number of factors, including victim reporting rates, the identification or detection of offences by police (in the case of ‘victimless’ crimes) and police interpretation and decision as to whether a crime has occurred. In addition, Crime Mapper does not include offences that are dealt with by way of expiation (e.g., speeding, littering, etc.). Please also see explanatory notes: http://www.ocsar.sa.gov.au/about2.html

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista, Reported violent crime rate U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/200445/reported-violent-crime-rate-in-the-us-states/
Organization logo

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

Explore at:
4 scholarly articles cite this dataset (View in Google Scholar)
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.

Search
Clear search
Close search
Google apps
Main menu