100+ datasets found
  1. M

    South Africa Murder/Homicide Rate

    • macrotrends.net
    csv
    Updated May 31, 2025
    + more versions
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    MACROTRENDS (2025). South Africa Murder/Homicide Rate [Dataset]. https://www.macrotrends.net/global-metrics/countries/zaf/south-africa/murder-homicide-rate
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Jan 1, 1994 - Dec 31, 2021
    Area covered
    South Africa
    Description

    Historical chart and dataset showing South Africa murder/homicide rate per 100K population by year from 1994 to 2021.

  2. Most dangerous countries in Africa 2024

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). Most dangerous countries in Africa 2024 [Dataset]. https://www.statista.com/statistics/1356732/countries-with-highest-crime-index-in-africa/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Africa
    Description

    In 2024, South Africa ranked first in the crime index among African countries, with a score of **** index points. Nigeria was the second most dangerous country on the continent, obtaining **** points. The index evaluates the overall crime levels in a specific country. Several African countries scored between ** and ** points, indicating high crime levels. Escalating concerns: South Africans worry about crime and violence In 2024, South Africa had one of the highest proportions of respondents expressing concerns about crime and violence compared to other countries participating in an online study. Throughout the period examined, the percentage of participants worried about violence peaked at ** percent in March 2023. The escalating levels of violent crime currently witnessed in the country has caused this significant rise in concerned respondents. South Africa's organized crime landscape In 2023, South Africa ranked the ************* in organized crime compared to its African counterparts. The continent's most prevalent organized criminal activity was **************************************. Moreover, from a regional perspective, Southern African countries had the lowest organized crime rate.

  3. G

    Homicide rate in Africa | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Apr 19, 2019
    + more versions
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    Globalen LLC (2019). Homicide rate in Africa | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/homicide_rate/Africa/
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    xml, csv, excelAvailable download formats
    Dataset updated
    Apr 19, 2019
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1990 - Dec 31, 2017
    Area covered
    World, Africa
    Description

    The average for 2017 based on 10 countries was 7.1 homicides per 100,000 people. The highest value was in South Africa: 35.9 homicides per 100,000 people and the lowest value was in Benin: 1.1 homicides per 100,000 people. The indicator is available from 1990 to 2017. Below is a chart for all countries where data are available.

  4. Crime index in Northern Africa 2024, by country

    • statista.com
    Updated Dec 23, 2024
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    Statista (2024). Crime index in Northern Africa 2024, by country [Dataset]. https://www.statista.com/statistics/1204221/crime-index-in-northern-africa-by-country/
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    Dataset updated
    Dec 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    North Africa, Africa, Morocco, Tunisia, Libya, Egypt, Algeria
    Description

    As of 2024, Libya was the North African country with the highest crime index, achieving 60.4 index points. The index measures the level of crime in a given country or city. Algeria followed with a score of 52.2 (moderate level). In contrast, Tunisia registered the lowest crime index in North Africa in that year.

  5. M

    Africa Crime Rate & Statistics -2025

    • macrotrends.net
    csv
    Updated Apr 30, 2025
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    MACROTRENDS (2025). Africa Crime Rate & Statistics -2025 [Dataset]. https://www.macrotrends.net/global-metrics/countries/AFR/africa/crime-rate-statistics
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    csvAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    africa
    Description
    Africa crime rate per 100K population for was 0.00, a 0% increase from .
    <ul style='margin-top:20px;'>
    
    <li>Africa crime rate per 100K population for was <strong>0.00</strong>, a <strong>0% increase</strong> from .</li>
    <li>Africa crime rate per 100K population for was <strong>0.00</strong>, a <strong>0% increase</strong> from .</li>
    <li>Africa crime rate per 100K population for was <strong>0.00</strong>, a <strong>0% increase</strong> from .</li>
    </ul>Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.
    
  6. S

    South Africa Homicide rate - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Nov 19, 2016
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    Globalen LLC (2016). South Africa Homicide rate - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/South-Africa/homicide_rate/
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    xml, csv, excelAvailable download formats
    Dataset updated
    Nov 19, 2016
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1994 - Dec 31, 2017
    Area covered
    South Africa
    Description

    South Africa: Homicides per 100,000 people: The latest value from 2017 is 35.9 homicides per 100,000 people, an increase from 34 homicides per 100,000 people in 2016. In comparison, the world average is 7.4 homicides per 100,000 people, based on data from 97 countries. Historically, the average for South Africa from 1994 to 2017 is 42.1 homicides per 100,000 people. The minimum value, 29.8 homicides per 100,000 people, was reached in 2011 while the maximum of 63.9 homicides per 100,000 people was recorded in 1995.

  7. o

    Crime Statistics (Station level) 2005 - 2015 - Dataset - openAFRICA

    • open.africa
    Updated Feb 14, 2018
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    (2018). Crime Statistics (Station level) 2005 - 2015 - Dataset - openAFRICA [Dataset]. https://open.africa/dataset/crime-statistics-station-level-2005-2015
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    Dataset updated
    Feb 14, 2018
    Description

    The National and Provincial statistics shared by South African Police Department SAPS. Data was extracted from the original file in order to present it in a must accessible way.

  8. M

    Sub-Saharan Africa Murder/Homicide Rate

    • macrotrends.net
    csv
    Updated May 31, 2025
    + more versions
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    MACROTRENDS (2025). Sub-Saharan Africa Murder/Homicide Rate [Dataset]. https://www.macrotrends.net/global-metrics/countries/ssf/sub-saharan-africa/murder-homicide-rate
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Jan 1, 2010 - Dec 31, 2021
    Area covered
    Sub-Saharan Africa, Africa
    Description

    Historical chart and dataset showing Sub-Saharan Africa murder/homicide rate per 100K population by year from 2010 to 2021.

  9. Victims of Crime Survey 1998 - South Africa

    • datafirst.uct.ac.za
    Updated Jul 13, 2020
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    Statistics South Africa (2020). Victims of Crime Survey 1998 - South Africa [Dataset]. https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/177
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    Dataset updated
    Jul 13, 2020
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    1998
    Area covered
    South Africa
    Description

    Abstract

    The victims of crime survey 1998 was commissioned by the South African Department of Safety and Security (DSS), and undertaken by Statistics South Africa (Stats SA). The first national survey of its kind in South Africa, this countrywide, household-based survey examines crime from the point of view of the victim. While surveys of crime victims cannot replace police statistics, they can provide a rich source of information which will assist in the planning of crime prevention. A victim survey can also examine the extent of reporting of crime, explore the perceptions that different people have about the police and police services, and act as a benchmark against which future surveys of the same nature can be compared.

    Geographic coverage

    The survey has national coverage

    Analysis unit

    Households and individuals

    Universe

    The survey covered all households in South Africa

    Kind of data

    Sample survey data

    Sampling procedure

    The sample consisted of 4 000 people aged 16 years or more. It was drawn in three stages. Firstly, a probability sample of 800 enumerator areas (EAs) was drawn from the sampling frame of 86 000 EAs, as demarcated for the 1996 population census. This sample was stratified explicitly by province, and implicitly by the 42 police districts of the country. Secondly, within each of the 800 EAs, five households were selected for interviewing, using systematic sampling. Thirdly, one respondent aged 16 years or more was selected to be interviewed in each of the five households in each sampled EA. This person was chosen using a table of random numbers. Once a respondent had been selected, fieldworkers were instructed to make sure that they interviewed only that specific person and nobody else. In case of non-contacts with that person, repeated callbacks (at least three) had to be made. There were no substitutions for refusals or non-contacts.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The survey questionnaire was based on a standard international questionnaire, but with certain modifications for use in South Africa. The international questionnaire covered eleven main crimes, including theft of a car or other motor vehicle, theft from a car or other vehicle, car vandalism, theft of a motor cycle or scooter, theft of a bicycle, burglary or housebreaking, attempted burglary, robbery with force, personal theft, sexual incidents and assault and two supplementary crimes (consumer fraud and corruption). In the South African questionnaire, the following crimes were added on the recommendation of the advisory committee to meet specific South African needs: theft of livestock, poultry and other animals, hijacking or attempted hijacking of vehicles, deliberate damage, burning or destruction of dwellings and deliberate killing or murder.

    A control questionnaire was administered by the fieldwork supervisor in one of the five households selected for participation in each enumerator area. This served as a check on the accuracy of the random selection process of the individual in the household, and of the quality of information collected. The survey was favourably received, and 97% of the sample was realised.

    Cleaning operations

    The processes of computer programming, data capture and data analysis involved several steps: A tabulation plan was drawn up beforehand to assist with writing the computer programme for data capture. The data-input programme, containing both range and consistency checks, was written by a programmer working in Stats SA's Directorate of Household Surveys. Coding of the questionnaires and data capture were handled by temporary staff. Once the capturing was completed, additional editing programmes were written, and then the data-cleaning process was completed. Tables from the dataset, based on the tabulation plan, and the data set itself were then made available for analysis and report-writing.

  10. Crime index in South Africa 2014-2024

    • statista.com
    Updated Jun 3, 2025
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    Crime index in South Africa 2014-2024 [Dataset]. https://www.statista.com/statistics/1399476/crime-index-south-africa/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Africa
    Description

    In 2024, South Africa had a crime index of 75.4, which is to be considered high. However, this was one of the lowest indexes recorded in the country since 2017. Over the observed period, the value continuously fluctuated between 75 and 77. South Africa has the highest crime index in Africa and ranks as the fifth most dangerous country globally according to the same index.

  11. d

    Violent Crime Rate

    • catalog.data.gov
    • data.ca.gov
    • +3more
    Updated Nov 27, 2024
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    California Department of Public Health (2024). Violent Crime Rate [Dataset]. https://catalog.data.gov/dataset/violent-crime-rate-9a68e
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Public Health
    Description

    This table contains data on the rate of violent crime (crimes per 1,000 population) for California, its regions, counties, cities and towns. Crime and population data are from the Federal Bureau of Investigations, Uniform Crime Reports. Rates above the city/town level include data from city, university and college, county, state, tribal, and federal law enforcement agencies. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Ten percent of all deaths in young California adults aged 15-44 years are related to assault and homicide. In 2010, California law enforcement agencies reported 1,809 murders, 8,331 rapes, and over 95,000 aggravated assaults. African Americans in California are 11 times more likely to die of assault and homicide than Whites. More information about the data table and a data dictionary can be found in the About/Attachments section.

  12. W

    Police Crime Stats South Africa

    • cloud.csiss.gmu.edu
    • data.wu.ac.at
    xlsx
    Updated May 13, 2019
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    Open Africa (2019). Police Crime Stats South Africa [Dataset]. https://cloud.csiss.gmu.edu/uddi/hr/dataset/groups/police-crime-stats-south-africa
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    xlsxAvailable download formats
    Dataset updated
    May 13, 2019
    Dataset provided by
    Open Africa
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    South Africa
    Description

    The South African Police Service (SAPS) has accepted a new and challeging objective of ensuring that its crime statistics are in line with international best practice. This will be achieved through a Memorandum of Understanding with Statistics South Africa (Stats SA), aimed at further enhancing the quality and integrity of the South African crime statistics.

    The crime statistics generated by SAPS are an important link in the value chain of the statistics system informs policy development and planning in the criminl justice system. The collaboration with StatsSA will go a long way in enhancing the integrity of the SAPS crime statistics and ensuring that policy-makers have quality data to assist them with making policy decisions.

  13. o

    crime statistics 2015 - Dataset - openAFRICA

    • open.africa
    Updated Dec 15, 2017
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    (2017). crime statistics 2015 - Dataset - openAFRICA [Dataset]. https://open.africa/dataset/crime-statistics-2015
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    Dataset updated
    Dec 15, 2017
    License

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

    Description

    This site is part of a network of digital infrastructure built by Code for Africa (CfA) as a free open source software for use by human rights defending organisations. Reuse it to empower your own communities. CfA is Africa's largest non-profit civic technology and open data catalyst, with labs across the continent. CfA content on this site is released under a Creative Commons 4.0 International License. Refer to our attributions page for attributions of other work on the site.

  14. Crime Statistics for South Africa

    • kaggle.com
    zip
    Updated Nov 17, 2019
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    Stephan Wessels (2019). Crime Statistics for South Africa [Dataset]. https://www.kaggle.com/datasets/slwessels/crime-statistics-for-south-africa/discussion/25968
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    zip(16034167 bytes)Available download formats
    Dataset updated
    Nov 17, 2019
    Authors
    Stephan Wessels
    Area covered
    South Africa
    Description

    Context

    CRIME STATISTICS: INTEGRITY

    The South African Police Service (SAPS) has accepted a new and challeging objective of ensuring that its crime statistics are in line with international best practice. This will be achieved through a Memorandum of Understanding with Statistics South Africa (Stats SA), aimed at further enhancing the quality and integrity of the South African crime statistics.

    The crime statistics generated by SAPS are an important link in the value chain of the statistics system informs policy development and planning in the criminal justice system. The collaboration with StatsSA will go a long way in enhancing the integrity of the SAPS crime statistics and ensuring that policy-makers have quality data to assist them with making policy decisions.

    Content

    The dataset contains South African crime statistics, broken down per province, station and crime type.

    Acknowledgements

    Data as published from:

    Further sources:

    An overview presentation:

  15. a

    Crime Statistics 2014 2024

    • wcg-opendataportal-westerncapegov.hub.arcgis.com
    • hub.arcgis.com
    Updated Mar 5, 2025
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    Western Cape Government Living Atlas (2025). Crime Statistics 2014 2024 [Dataset]. https://wcg-opendataportal-westerncapegov.hub.arcgis.com/datasets/0880c702a51b474d9db4a5339ff44920
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    Dataset updated
    Mar 5, 2025
    Dataset authored and provided by
    Western Cape Government Living Atlas
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Data presented as a spreadsheet; Provides an overview of the crime per category across all provinces in South Africa since 2014.Linage: The data presented is extracted from the South African Police Service (SAPS) Crime Statistics trends as published on https://www.saps.gov.za/services/crimestats.phpData source: 2023-2024 _Annual_Financial year_WEB, SAPS, published ‎2024contact person: Elize van der Berg, Department of the Premier, Elize.VanDerBerg@westerncape.gov.za

  16. Victims of Crime Survey 2016-2017 - South Africa

    • datafirst.uct.ac.za
    Updated Nov 26, 2020
    + more versions
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    Statistics South Africa (2020). Victims of Crime Survey 2016-2017 - South Africa [Dataset]. http://www.datafirst.uct.ac.za/Dataportal/index.php/catalog/784
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    Dataset updated
    Nov 26, 2020
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2016 - 2017
    Area covered
    South Africa
    Description

    Abstract

    The Victims of Crime Survey (VCS) is a countrywide household-based survey which collects data on the prevalence of particular kinds of crime within South Africa. The survey includes information on victimisation experienced by individuals and households and their perspectives on community responses to crime. Therefore, VCS data can be used for research in the development of policies and strategies for crime prevention and public safety and education programmes. Statistics South Africa (StatsSA) conducted its first VCS in 1998. Following the VCS 1998, victims surveys were conducted by the Institute for Security Studies (ISS). Since 2011, StatsSA began conducting an annual collection of the VCS as a source of information on crime in South Africa. The main objectives of the survey are to:

    • Provide information about the dynamics of crime from the perspective of households and the victims of crime.

    • Explore public perceptions of the activities of the police, prosecutors, courts and correctional services in the prevention of crime and victimisation.

    • Provide complimentary data on the level of crime within South Africa in addition to the statistics published annually by the South African Police Service.

    The VCS 2016/17 is the seventh release in the collection and is comparable to the new Governance, Public Safety and Justice Survey (GPSJS). StatsSA launched the GPSJS in April 2018 in response to the need for standardised international reporting standards on governance and access to justice that are recommended by the SDGs, ShaSA and Agenda 2063. Therefore, the VCS 2016/17 (and all subsequent releases) can be used as a complementary dataset to the GPSJS releases.

    Geographic coverage

    The survey has national coverage.

    Analysis unit

    Households and individuals

    Universe

    The target population of the survey consists of all private households in all nine provinces of South Africa and residents in workers' hostels. The survey does not cover other collective living quarters such as students' hostels, old-age homes, hospitals, prisons and military barracks, and is therefore only representative of non-institutionalised and non-military persons or households in South Africa.

    Kind of data

    Sample survey data

    Sampling procedure

    VCS 201/2017 uses a Master Sample frame which has been developed as a general-purpose household survey frame that can be used by other Stats SA household-based surveys. VCS 2016/2017 collection was based on the Stats SA 2013 Master Sample.This Master Sample is based on information collected during the 2011 Census conducted by Stats SA. In preparation for Census 2011, the country was divided into 103 576 enumeration areas (EAs). The census EAs, together with the auxiliary information for the EAs, were used as the frame units or building blocks for the formation of primary sampling units (PSUs) for the Master Sample. There are 3 324 primary sampling units (PSUs) in the Master Sample with an expected sample of approximately 33 000 dwelling units (DUs). The updating of the Master Sample as compared to previous VCSs is expected to improve the precision of statistical estimates.

    The Master Sample is designed to be representative at provincial level and within provinces at metro/non-metro levels. Within the metros, the sample is further distributed by geographical type. The three geography types are Urban, Tribal and Farms. This implies, for example, that within a metropolitan area, the sample is representative of the different geography types that may exist within that metro.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The VOCS 2016/17 questionnaire was based on the questionnaires used in the International Crime Victim Survey (ICVS) and previous VOCSs conducted by the Institute for Security Studies (ISS) and Statistics SA.

    Sections 10 to 20 of the questionnaire relate to household crimes. A proxy respondent (preferably head of the household or acting head of household) answered on behalf of the household. Section 21 to 28 of the questionnaire about crimes on individuals were asked of a household member who was selected using the birthday section method. This methodology selects an individual who is 16 years or older, whose birthday is soonest after the survey date.

    Data appraisal

    Comparability:

    Prior to 2014/2015, VOCS respondents were asked about their crime-related experiences in the previous calendar year, but since 2014/15 VCS changed to a Continuous Data Collection (CDC) method. In this data collection method, respondents were interviewed on a rolling basis over the course of a year and asked about crime experienced in the 12 months prior to the interview. As a result of this, the victimisation experiences reported by respondents interviewed in a period of 12 months relate to a broader span of 23 months.

    The VCS 2016/17 is comparable to previous and subsequent VCSs in that several questions have remained unchanged over time. Where possible, it was generally indicated in the report.

  17. H

    Reproduction of South African crime statistics 2003/4 to 2008/9

    • dataverse.harvard.edu
    • data.niaid.nih.gov
    Updated Apr 22, 2010
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    South African Police Service (2010). Reproduction of South African crime statistics 2003/4 to 2008/9 [Dataset]. http://doi.org/10.7910/DVN/Z3JEZT
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 22, 2010
    Dataset provided by
    Harvard Dataverse
    Authors
    South African Police Service
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2003 - 2009
    Area covered
    Entire country by police station precinct, South Africa
    Description

    Replication of crime statistics published in pdf format by the South African Police Service in 2010. Data reflects, by police station, the number of serious offences reported at each police station for each financial year between 2003/4 and 2008/9.

  18. Victims of Crime Survey 2016-2017 - South Africa

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated Jun 2, 2020
    + more versions
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    Statistics South Africa (2020). Victims of Crime Survey 2016-2017 - South Africa [Dataset]. https://microdata.worldbank.org/index.php/catalog/3707
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    Dataset updated
    Jun 2, 2020
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2016 - 2017
    Area covered
    South Africa
    Description

    Abstract

    The VCS series is a countrywide household-based survey that has three main objectives: • Provide information about the dynamics of crime from the perspective of households and the victims of crime • Explore public perceptions of the activities of the police, prosecutors, courts and correctional services in the prevention of crime and victimization • Provide complimentary data on the level of crime within South Africa in addition to the statistics published annually by the South African Police Service.

    Geographic coverage

    National coverage.

    Analysis unit

    Households and individuals

    Universe

    The target population of the survey consists of all private households in all nine provinces of South Africa and residents in workers' hostels. The survey does not cover other collective living quarters such as students' hostels, old-age homes, hospitals, prisons and military barracks, and is therefore only representative of non-institutionalized and non-military persons or households in South Africa.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    VCS 2016/2017 uses a Master Sample frame which has been developed as a general-purpose household survey frame that can be used by other Stats SA household-based surveys. VCS 2016/2017 collection was based on the Stats SA 2013 Master Sample. This Master Sample is based on information collected during the 2011 Census conducted by Stats SA. In preparation for Census 2011, the country was divided into 103 576 enumeration areas (EAs). The census EAs, together with the auxiliary information for the EAs, were used as the frame units or building blocks for the formation of primary sampling units (PSUs) for the Master Sample. There are 3 324 primary sampling units (PSUs) in the Master Sample with an expected sample of approximately 33 000 dwelling units (DUs). The updating of the Master Sample as compared to previous VCSs is expected to improve the precision of statistical estimates.

    The Master Sample is designed to be representative at provincial level and within provinces at metro/non-metro levels. Within the metros, the sample is further distributed by geographical type. The three geography types are Urban, Tribal and Farms. This implies, for example, that within a metropolitan area, the sample is representative of the different geography types that may exist within that metro.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The questionnaire was developed based on the questions used in the International Crime Victim Survey (ICVS), previous VOCSs (both conducted by ISS and Stats SA) with modifications in some instances. The Stats SA questionnaire design standard for household surveys was also used as a normative reference. In order to minimize fieldworker and capturing errors, the questionnaire was largely pre-coded. Sections 10 to 20 of the questionnaire represent household crimes for which a proxy respondent (preferably head of the household or acting head of household) answered on behalf of the household. All analysis done in this report that included demographic variables was done using the demographic characteristics of the household head or proxy. Section 21 to 28 of this questionnaire required that an individual be selected using the birthday section method to respond to questions classified as individual crimes. This methodology selects an individual who is 16 years or older, whose birthday was first to follow the survey date.

    In the VOCS 2016/17 questionnaire, respondents were asked what they thought could be the motive for perpetrators committing crime. This question was asked differently in 2016/17 as compared to the previous years. Users are advised to use caution when these responses across the series.

    Data appraisal

    Comparability:

    Prior to 2014/2015, VOCS respondents were asked about their crime-related experiences in the previous calendar year, but since 2014/15 VCS changed to a Continuous Data Collection (CDC) method. In this data collection method, respondents were interviewed on a rolling basis over the course of a year and asked about crime experienced in the 12 months prior to the interview. As a result of this, the victimization experiences reported by respondents interviewed in a period of 12 months relate to a broader span of 23 months.

  19. Organized crime index in East Africa 2023, by type of crime

    • statista.com
    Updated Jun 3, 2025
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    Statista (2025). Organized crime index in East Africa 2023, by type of crime [Dataset]. https://www.statista.com/statistics/1457900/organized-crime-index-in-east-africa-by-criminal-market/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Africa
    Description

    According to the organized crime index, human trafficking and arms trafficking were the most prevalent criminal markets in East Africa as of 2023, obtaining 7.78 index points each. Human smuggling and financial crimes followed as the main types of crime in the region, with scores of 7.39 and 6.61 points, respectively. Overall, East Africa had the highest level of criminality on the continent in 2023.

  20. Governance Public Safety and Justice Survey 2020-2021 - South Africa

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated Mar 8, 2023
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    Statistics South Africa (2023). Governance Public Safety and Justice Survey 2020-2021 - South Africa [Dataset]. https://microdata.worldbank.org/index.php/catalog/5777
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    Dataset updated
    Mar 8, 2023
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2020 - 2021
    Area covered
    South Africa
    Description

    Abstract

    In April 2018, StatsSA launched the Governance Public Safety and Justice Survey (GPSJS) in response to the need for standardised international reporting standards on governance and access to justice that are recommended by the SDGs, ShaSA and Agenda 2063. In compliance with these standards, Stats SA discontinued the separate publication of the Victims of Crime Survey (VCS) and incorporated it within the new GPSJS series. Therefore, the GPSJS represents the new source of microdata on the experience and prevalence of particular kinds of crime within South Africa.

    The GPSJS is a countrywide household-based survey which collects data on two types of crimes, namely, vehicle hijacking and home robbery. Business robbery is not covered by the survey. The survey includes information on victimisation experienced by individuals and households and their perspectives on community responses to crime. Additionally, the survey data includes information on legitimacy, voice, equity and discrimination. Therefore, GPSJS data can be used for research in the development of policies and strategies for governance, crime prevention, public safety and justice programmes. The main objectives of the survey are to:

    • Provide information about the dynamics of crime from the perspective of households and the victims of crime.

    • Explore public perceptions of the activities of the police, prosecutors, courts and correctional services in the prevention of crime and victimisation.

    • Provide complimentary data on the level of crime within South Africa in addition to the statistics published annually by the South African Police Service.

    NOTE: The GPSJS is a continuation of the VCS series, which ended with VCS 2017/18. Therefore, the VCS 2018/19 can be exctracted from GPSJS 2018/19 and is comparable to previous VCS's only where questions remained the same. Please see Data Quality Notes for more infomation on comparability.

    Geographic coverage

    The survey has national coverage.

    Analysis unit

    Households and individuals

    Universe

    The target population of the survey consists of all private households in all nine provinces of South Africa, as well as residents in workers' hostels. The survey does not cover other collective living quarters such as students' hostels, old-age homes, hospitals, prisons and military barracks. It is only representative of non-institutionalised and non-military persons or households in South Africa.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The GPSJS 2020/21 uses the master sample (MS) sampling frame which has been developed as a general-purpose household survey frame that can be used by all other Stats SA household-based surveys having design requirements that are reasonably compatible with GPSJS. The GPSJS 2020/21 collection was drawn from the 2013 master sample. This master sample is based on information collected during Census 2011. In preparation for Census 2011, the country was divided into 103 576 enumeration areas (EAs). The census EAs, together with the auxiliary information for the EAs, were used as the frame units or building blocks for the formation of primary sampling units (PSUs) for the master sample, since they covered the entire country and had other information that is crucial for stratification and creation of PSUs.

    There are 3 324 primary sampling units (PSUs) in the master sample with an expected sample of approximately 33 000 dwelling units (DUs). The number of PSUs in the current master sample (3 324) reflect an 8,0% increase in the size of the master sample compared to the previous (2008) master sample (which had 3 080 PSUs). The larger master sample of PSUs was selected to improve the precision (smaller coefficients of variation, known as CVs) of the GPSJS estimates.

    Mode of data collection

    Computer Assisted Telephone Interview [cati]

    Research instrument

    The GPSJS 2020/21 questionnaire is based on international reporting standards of governance, public safety and justice defined by the SDGs.

    Sections 1 to 3 of the questionnaire relate to household crimes. A proxy respondent (preferably head of the household or acting head of household) answered on behalf of the household. Section 4 to 9 of the questionnaire relate to crimes experienced by individuals and were asked of a household member who was selected using the birthday section method. This methodology selects an individual who is 16 years or older, whose birthday is soonest after the survey date.

    Data appraisal

    Comparability to VCS series:

    While redesigning the VCS into the GPSJS, some questions were modified in order to align the series with international reporting demands (e.g. SDGs) and to improve the accuracy of victim reporting. This caused a break of series for affected questions, in particular questions on 12-month experience of crime. The question on 5-year experience of crime was not changed and hence there is no break of series. The 5-year trends can therefore be used as a proxy for the 12-month series as the two follow similar patterns. Similarity of shapes of the two series makes it possible to predict increase or decrease of crime during the past 12 months using the 5-year series.

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MACROTRENDS (2025). South Africa Murder/Homicide Rate [Dataset]. https://www.macrotrends.net/global-metrics/countries/zaf/south-africa/murder-homicide-rate

South Africa Murder/Homicide Rate

South Africa Murder/Homicide Rate

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csvAvailable download formats
Dataset updated
May 31, 2025
Dataset authored and provided by
MACROTRENDS
License

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

Time period covered
Jan 1, 1994 - Dec 31, 2021
Area covered
South Africa
Description

Historical chart and dataset showing South Africa murder/homicide rate per 100K population by year from 1994 to 2021.

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