100+ datasets found
  1. Most dangerous countries in Africa 2024

    • statista.com
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    Statista, 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 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.

  2. Number of contact crimes in South Africa Q3 2022/2023-2023/2024, by type

    • statista.com
    Updated Jan 10, 2024
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    Saifaddin Galal (2024). Number of contact crimes in South Africa Q3 2022/2023-2023/2024, by type [Dataset]. https://www.statista.com/topics/11475/crime-in-africa/
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    Dataset updated
    Jan 10, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Saifaddin Galal
    Area covered
    South Africa
    Description

    In the third quarter of 2023/2024, contact crime in South Africa continues to increase except for reports relating to sexual offenses, which recorded 15,284 cases. This is a slight decrease from 15,545 recorded in the previous year. Assault with the intent to inflict grievous bodily harm accounted for the majority of contact crime reports in the third quarter of 2023/2024, whereas assault was the most commonly reported contact crime in the same quarter in 2022/2023.

  3. Crime Stats of South Africa 2011-2023

    • kaggle.com
    zip
    Updated Jan 9, 2024
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    Harutyun Aghababyan (2024). Crime Stats of South Africa 2011-2023 [Dataset]. https://www.kaggle.com/datasets/harutyunagababyan/crime-stats-of-south-africa-2011-2023
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    zip(31552 bytes)Available download formats
    Dataset updated
    Jan 9, 2024
    Authors
    Harutyun Aghababyan
    License

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

    Area covered
    South Africa
    Description

    South African Crime Statistics Dataset

    This dataset encompasses crime statistics for South Africa, spanning from the financial year 2011/2012 to 2022/2023. The data has been released by the South African Police Services (SAPS) and includes various categories of crime incidents.

    SAPS Objective

    The South African Police Service has accepted a new and challenging objective to align its crime statistics with international best practices. This commitment is aimed at enhancing the credibility and accuracy of the crime data.

    Importance of SAPS Crime Statistics

    The crime statistics generated by SAPS play a crucial role in the statistics system's value chain. They inform policy development and planning within the criminal justice system. The collaboration with StatsSA (Statistics South Africa) is seen as a significant step towards improving the integrity of SAPS crime statistics, ensuring that policy-makers have access to high-quality data for informed decision-making.

    Dataset structure

    .
    ├── categoris/ 
    │  ├── aggravated_robbery_incidents_by_category.csv 
    │  ├── contact_crime_incidents_by_category.csv 
    │  ├── contact_related_crime_incidents_by_category.csv 
    │  ├── crimes_detected_as_a_result_of_police_action.csv 
    │  ├── other_serious_crime_incidents_by_category.csv 
    │  ├── property_related_crime_incidents_by_category.csv 
    │  └── sexual_offence_incidents_by_category.csv 
    └── crime_incidents_by_category.csv
    
    

    Geographical Distribution

    The dataset covers various provinces in South Africa, with each province represented by its respective code:

    • ZA: South Africa
    • EC: Eastern Cape
    • FS: Free State
    • GT: Gauteng
    • KZN: KwaZulu-Natal
    • LIM: Limpopo
    • MP: Mpumalanga
    • NW: North West (Bokone Bophirima)
    • NC: Northern Cape (Kapa Bokone)
    • WC: Western Cape (Kapa Bodikela)
  4. o

    Police Crime Stats South Africa - Dataset - openAFRICA

    • open.africa
    Updated Jan 17, 2017
    + more versions
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    (2017). Police Crime Stats South Africa - Dataset - openAFRICA [Dataset]. https://open.africa/dataset/police-crime-stats-south-africa
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    Dataset updated
    Jan 17, 2017
    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.

  5. Crime index in South Africa 2014-2024

    • statista.com
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    Statista, Crime index in South Africa 2014-2024 [Dataset]. https://www.statista.com/statistics/1399476/crime-index-south-africa/
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    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.

  6. Number of contact crimes in South Africa 2022/2023-2023/2024, by type

    • statista.com
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    Statista, Number of contact crimes in South Africa 2022/2023-2023/2024, by type [Dataset]. https://www.statista.com/statistics/1398944/total-number-of-contact-crimes-in-south-africa-by-quarter-and-type/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Africa
    Description

    As of the fiscal year 2023/2024, the total number of contact crimes in South Africa amounted to ******* cases. This represents an increase of around *** percent from the previous year. The category with the highest number of criminal incidences was common assault, with ******* reported cases. Moreover, attempted murder saw the largest percentage increase at **** percent.

  7. M

    Africa Crime Rate & Statistics | Historical Data | Chart | N/A-N/A

    • macrotrends.net
    csv
    Updated Oct 31, 2025
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    MACROTRENDS (2025). Africa Crime Rate & Statistics | Historical Data | Chart | N/A-N/A [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/afr/africa/crime-rate-statistics
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    csvAvailable download formats
    Dataset updated
    Oct 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

    Area covered
    Africa
    Description

    Historical dataset showing Africa crime rate per 100K population by year from N/A to N/A.

  8. H

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

    • datasetcatalog.nlm.nih.gov
    • data.niaid.nih.gov
    • +1more
    Updated Apr 22, 2010
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    Service, South African Police (2010). Reproduction of South African crime statistics 2003/4 to 2008/9 [Dataset]. http://doi.org/10.7910/DVN/Z3JEZT
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    Dataset updated
    Apr 22, 2010
    Authors
    Service, South African Police
    Area covered
    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.

  9. M

    South Africa Crime Rate & Statistics | Historical Data | Chart | 1994-2021

    • macrotrends.net
    csv
    Updated Oct 31, 2025
    + more versions
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    MACROTRENDS (2025). South Africa Crime Rate & Statistics | Historical Data | Chart | 1994-2021 [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/zaf/south-africa/crime-rate-statistics
    Explore at:
    csvAvailable download formats
    Dataset updated
    Oct 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 dataset showing South Africa crime rate per 100K population by year from 1994 to 2021.

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

    • statista.com
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    Statista, 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 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 **** index points each. Human smuggling and financial crimes followed as the main types of crime in the region, with scores of **** and **** points, respectively. Overall, East Africa had the highest level of criminality on the continent in 2023.

  11. 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.

  12. National Victims of Crime Survey 2003 - South Africa

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated May 1, 2014
    + more versions
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    Institute for Security Studies (2014). National Victims of Crime Survey 2003 - South Africa [Dataset]. https://microdata.worldbank.org/index.php/catalog/1275
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    Dataset updated
    May 1, 2014
    Dataset authored and provided by
    Institute for Security Studieshttps://issafrica.org/
    Time period covered
    2003
    Area covered
    South Africa
    Description

    Abstract

    In 2003, the Institute for Security Studies (ISS) in South Africa conducted a national victims of crime survey with the aim of measuring crime trends in the country, public perceptions about crime and safety, as well as confidence in the criminal justice system. The study was planned and carried out to allow direct comparisons with a victim of crime survey conducted in 1998 by Statistics SA for the Department of Safety and Security and the United Nations Interregional Crime and Justice Research Institute (UNICRI). The survey was conducted between September and October 2003. Households were randomly selected across the country based on the 2001 Census, and a national sample of 4,860 people, over the age of 16 years, was realised. The sample was stratified by province and urban/rural areas, and the data was weighted to reflect the actual composition of the population.

    Geographic coverage

    The survey had national coverage

    Analysis unit

    The units of analysis in the study were individuals and households

    Universe

    The survey covered all households in South Africa

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Multi-stage cluster sampling was utilised, with Enumerator Areas (EAs) from the 2001 Census selected at the first stage of the sampling, households within the EAs at the second stage, and individuals within the household at the third stage. Based on the total number of households in South Africa (identified by the 2001 Census as 11,205,705), a total of 80,787 EAs were allocated. The total sample size was determined to be 4,050 households. The sample was calculated at a 95% confidence interval, and with a design effect of two. Ten interviews were collected from each EA. The distribution of the sample through the provinces is reflected in the table below. In total, a sample of 4,860 was realised. Households were selected randomly in the following manner: Maps of the EAs were obtained prior to entry of the EA, and random starting points selected. The household nearest to the starting point was selected, and a household interval randomly selected by the supervisor using the day, week and month of the interview. Every nth household was then completed until the target number of interviews was obtained. Respondents over the age of 16 years were then randomly selected for interview using a KISH grid.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    In order to ensure comparability with the 1998 national Victims of Crime survey, as well as ISS surveys in other African countries that were being conducted at the same time as the national survey, specific aspects of the survey design were predetermined. These included certain components of the questionnaire as well as the sample design. A basic questionnaire, based on those used in the ICVS, previous ISS studies, concurrent regional studies, and the 1998 Victims of Crime survey was used as a starting point. To enable comparison of the 1998 and 2003 data sets, the definitions used in the study were kept identical to those used in the 1998 survey, with the exception of attempted car hijackings and attempted housebreakings. In this study, car hijacks specifically only included successful incidents, rather than including attempts as was the case in the 1998 study, while attempted housebreakings were excluded from this study. For methodological purposes, the types of crimes were divided into those that affect the household, and those that affect individuals.

    In order to minimise fieldworker error, and coding and capturing error, as well as any ambiguities in responses, the instrument was largely pre-coded. A number of drafts were prepared and presented internally to the ISS, and then to a stakeholder committee for input, before finalisation. The questionnaire was not translated into any vernacular languages. However, the introduction and definitions of crimes used by enumerators were translated and back-translated from English into Afrikaans, Zulu, and Sotho. Although every precaution was taken during fieldworker training to ensure that interpretations were correct, it is not inconceivable that errors may have occurred. Cross-checks were carried out on 20% of the questionnaires to ensure that the responses given were an accurate reflection of respondents’ opinions. These cross-checks did not reveal any consistent error from the latitude ordinarily accorded interviewers in translating the original questionnaire

    Cleaning operations

    Capture was undertaken on Epi-Info. A process of double capture was undertaken in order to eliminate capture error.

  13. o

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

    • open.africa
    Updated Feb 14, 2018
    + more versions
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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.

  14. Organized crime index in Africa 2023, by region

    • statista.com
    Updated Nov 23, 2023
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    Statista (2023). Organized crime index in Africa 2023, by region [Dataset]. https://www.statista.com/statistics/1223862/criminality-according-to-the-organized-crime-index-in-africa-by-region/
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    Dataset updated
    Nov 23, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Africa
    Description

    In 2023, East Africa had the highest levels of criminality in Africa according to the organized crime index. The region scored **** points and was followed by West and Central Africa, respectively. As of the same year, the African countries with the highest criminality scores were the Democratic Republic of the Congo, Nigeria, and South Africa. The source identified human trafficking and human smuggling as particularly widespread on the continent.

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

    • microdata.worldbank.org
    • datacatalog.ihsn.org
    • +1more
    Updated Mar 8, 2023
    + more versions
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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.

  16. M

    Central African Republic Crime Rate & Statistics | Historical Data | Chart |...

    • macrotrends.net
    csv
    Updated Oct 31, 2025
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    MACROTRENDS (2025). Central African Republic Crime Rate & Statistics | Historical Data | Chart | 2016-2016 [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/caf/central-african-republic/crime-rate-statistics
    Explore at:
    csvAvailable download formats
    Dataset updated
    Oct 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, 2016 - Dec 31, 2016
    Area covered
    Central African Republic
    Description

    Historical dataset showing Central African Republic crime rate per 100K population by year from 2016 to 2016.

  17. Victims of Crime Survey 1998 - South Africa

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated May 5, 2014
    + more versions
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    Statistics South Africa (2014). Victims of Crime Survey 1998 - South Africa [Dataset]. https://microdata.worldbank.org/index.php/catalog/1268
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    Dataset updated
    May 5, 2014
    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 had national coverage

    Analysis unit

    The units of analysis in the survey are households and individuals

    Universe

    The survey covered all households in South Africa

    Kind of data

    Sample survey data [ssd]

    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.

    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.

  18. Most dangerous cities in Africa 2024

    • statista.com
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    Statista, Most dangerous cities in Africa 2024 [Dataset]. https://www.statista.com/statistics/1328901/cities-with-highest-crime-index-in-africa/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Africa
    Description

    In 2024, Pietermaritzburg (South Africa) ranked first in the crime index among African cities, with a rating of roughly ** index points. The six most dangerous areas on the continent were South African cities. The index estimates the overall level of crime in a specific territory. According to the score, crime levels are classified as very high (over 80), high (60-80), moderate (40-60), low (20-40), and very low (below 20). South Africa’s crime situation According to the crime index ranking, ************ was the most dangerous country in Africa in 2023, followed by ***************** and ******. Murder and organized crime are particularly widespread in South Africa. In 2023, the country had one of the highest murder rates globally, registering around ** homicides per 100,000 inhabitants. Moreover, South Africa’s crime scene is also characterized by the presence of organized criminal activities, for which the country ranked third in Africa. Reflecting these high levels of crime, a survey conducted in 2023 showed that around ** percent of South Africans were worried about crime and violence in the country. Crime risks in Africa The African continent hosts some of the most dangerous places worldwide. In 2023, *********** and the ******************************** were the least peaceful countries in Africa, according to the Global Peace Index. Worldwide, they ranked fourth and fifth, respectively, behind Afghanistan, Yemen, and Syria. Terrorism is a leading type of crime perpetrated in Africa. Home to Boko Aram, Nigeria is among the countries with the highest number of terrorism-related deaths globally. Furthermore, Burkina Faso had the highest number of fatalities in the world. Human trafficking is also widespread, predominantly in West Africa. The most common forms of exploitation of victims of trafficking in persons are forced labor and sexual exploitation.

  19. w

    South Africa - Victims of Crime Survey 2013-2014

    • wbwaterdata.org
    Updated Mar 16, 2020
    + more versions
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    (2020). South Africa - Victims of Crime Survey 2013-2014 [Dataset]. https://wbwaterdata.org/dataset/south-africa-victims-crime-survey-2013-2014
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    Dataset updated
    Mar 16, 2020
    License

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

    Area covered
    South Africa
    Description

    The primary aim of the Victims of Crime Survey is to establish the prevalence of particular kinds of crime within a certain population. This may be victimisation experienced by individuals or households. Data from victimisation surveys can be used to supplement official crime statistics. The 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.

  20. a

    Drug related Crimes Reported 2014 2024

    • wcg-opendataportal-westerncapegov.hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Mar 5, 2025
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    Western Cape Government Living Atlas (2025). Drug related Crimes Reported 2014 2024 [Dataset]. https://wcg-opendataportal-westerncapegov.hub.arcgis.com/items/24ced21ce3e04f4f80acd1393158d0c5
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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 number of drug-related crimes reported 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

Share
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Statista, Most dangerous countries in Africa 2024 [Dataset]. https://www.statista.com/statistics/1356732/countries-with-highest-crime-index-in-africa/
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Most dangerous countries in Africa 2024

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3 scholarly articles cite this dataset (View in Google Scholar)
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.

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