40 datasets found
  1. Crime Rate and GDP Datasets 2021 & 2023

    • kaggle.com
    Updated May 28, 2024
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    Fran Llamas (2024). Crime Rate and GDP Datasets 2021 & 2023 [Dataset]. https://www.kaggle.com/datasets/franllamas/crime-rate-and-gdp-datasets-2021-and-2023
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 28, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Fran Llamas
    Description

    Overview:

    This project aims to investigate the potential correlation between the Gross Domestic Product (GDP) of approximately 190 countries for the years 2021 and 2023 and their corresponding crime ratings. The crime ratings are represented on a scale from 0 to 10, with 0 indicating minimal or null crime activity and 10 representing the highest level of criminal activity.

    Dataset:

    The dataset used in this project comprises GDP data for the years 2021 and 2023 for around 190 countries, sourced from reputable international databases. Additionally, crime rating scores for the same countries and years are collected from credible sources such as governmental agencies, law enforcement organizations, or reputable research institutions.

    Methodology:

    • Data Collection: GDP data for 2021 and 2023, along with crime rating scores, are gathered for approximately 190 countries.
    • Data Preprocessing: The collected data is cleaned and standardized to ensure consistency and compatibility across different datasets.
    • Analysis: Statistical methods and data visualization techniques are employed to explore the potential relationship between GDP and crime ratings.
    • Interpretation: Findings from the analysis are interpreted to determine the strength and direction of any observed correlations between GDP and crime ratings.
    • Conclusion: Based on the analysis results, conclusions are drawn regarding the existence and significance of the relationship between GDP and crime ratings.

    Expected Outcomes:

    Identification of any significant correlations or patterns between GDP and crime ratings across different countries. Insights into the potential socioeconomic factors influencing crime rates and their relationship with economic indicators like GDP. Implications for policymakers, law enforcement agencies, and researchers in understanding the dynamics between economic development and crime prevalence.

  2. s

    Data from: Femicide, intimate partner femicide, and non-intimate partner...

    • scholardata.sun.ac.za
    • datasetcatalog.nlm.nih.gov
    Updated Apr 17, 2024
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    Naeemah Abrahams,; Shibe Mhlongo; Esnat Chirwa; Bianca Dekel; Asiphe Ketelo; Carl Lombard,; Nwabisa Shai; Leane Ramsoomar; Shanaaz Mathews; Gérard Labuschagne; Richard Matzopoulos; Megan Prinsloo; Lorna J. Martin; Rachel Jewkes (2024). Femicide, intimate partner femicide, and non-intimate partner femicide in South Africa: An analysis of 3 national surveys, 1999–2017 [Dataset]. http://doi.org/10.25413/sun.25609836.v1
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    Dataset updated
    Apr 17, 2024
    Dataset provided by
    SUNScholarData
    Authors
    Naeemah Abrahams,; Shibe Mhlongo; Esnat Chirwa; Bianca Dekel; Asiphe Ketelo; Carl Lombard,; Nwabisa Shai; Leane Ramsoomar; Shanaaz Mathews; Gérard Labuschagne; Richard Matzopoulos; Megan Prinsloo; Lorna J. Martin; Rachel Jewkes
    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

    In most countries, reliable national statistics on femicide, intimate partner femicide (IPF), and non-intimate partner femicide (NIPF) are not available. Surveys are required to collect robust data on this most extreme consequence of intimate partner violence (IPV). We analysed 3 national surveys to compare femicide, IPF, and NIPF from 1999 to 2017 using age-standardised rates (ASRs) and incidence rate ratios (IRRs).We conducted 3 national mortuary-based retrospective surveys using weighted cluster designs from proportionate random samples of medicolegal laboratories. We included females 14 years and older who were identified as having been murdered in South Africa in 1999 (n = 3,793), 2009 (n = 2,363), and 2017 (n = 2,407). Further information on the murdered cases were collected from crime dockets during interviews with police investigating officers. Our findings show that South Africa had an IPF rate of 4.9/100,000 female population in 2017. All forms of femicide among women 14 years and older declined from 1999 to 2017. For IPF, the ASR was 9.5/100,000 in 1999. Between 1999 and 2009, the decline for NIPF was greater than for IPF (IRR for NIPF 0.47 (95% confidence interval (CI) 0.42 to 0.53) compared to IRR for IPF 0.69 (95% CI 0.63 to 0.77). Rates declined from 2009 to 2017 and did not differ by femicide type. The decline in IPF was initially larger for women aged 14 to 29, and after 2009, it was more pronounced for those aged 30 to 44 years. Study limitations include missing data from the police and having to use imputation to account for missing perpetrator data.In this study, we observed a reduction in femicide overall and different patterns of change in IPF compared to NIPF. The explanation for the reductions may be due to social and policy interventions aimed at reducing IPV overall, coupled with increased social and economic stability. Our study shows that gender-based violence is preventable even in high-prevalence settings, and evidence-based prevention efforts must be intensified globally. We also show the value of dedicated surveys in the absence of functional information systems

  3. Associations between Intimate Partner Violence and Termination of Pregnancy:...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated Jun 1, 2023
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    Megan Hall; Lucy C. Chappell; Bethany L. Parnell; Paul T. Seed; Susan Bewley (2023). Associations between Intimate Partner Violence and Termination of Pregnancy: A Systematic Review and Meta-Analysis [Dataset]. http://doi.org/10.1371/journal.pmed.1001581
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    docxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Megan Hall; Lucy C. Chappell; Bethany L. Parnell; Paul T. Seed; Susan Bewley
    License

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

    Description

    BackgroundIntimate partner violence (IPV) and termination of pregnancy (TOP) are global health concerns, but their interaction is undetermined. The aim of this study was to determine whether there is an association between IPV and TOP.Methods and FindingsA systematic review based on a search of Medline, Embase, PsycINFO, and Ovid Maternity and Infant Care from each database's inception to 21 September 2013 for peer-reviewed articles of any design and language found 74 studies regarding women who had undergone TOP and had experienced at least one domain (physical, sexual, or emotional) of IPV. Prevalence of IPV and association between IPV and TOP were meta-analysed. Sample sizes ranged from eight to 33,385 participants. Worldwide, rates of IPV in the preceding year in women undergoing TOP ranged from 2.5% to 30%. Lifetime prevalence by meta-analysis was shown to be 24.9% (95% CI 19.9% to 30.6%); heterogeneity was high (I2>90%), and variation was not explained by study design, quality, or size, or country gross national income per capita. IPV, including history of rape, sexual assault, contraceptive sabotage, and coerced decision-making, was associated with TOP, and with repeat TOPs. By meta-analysis, partner not knowing about the TOP was shown to be significantly associated with IPV (pooled odds ratio 2.97, 95% CI 2.39 to 3.69). Women in violent relationships were more likely to have concealed the TOP from their partner than those who were not. Demographic factors including age, ethnicity, education, marital status, income, employment, and drug and alcohol use showed no strong or consistent mediating effect. Few long-term outcomes were studied. Women welcomed the opportunity to disclose IPV and be offered help. Limitations include study heterogeneity, potential underreporting of both IPV and TOP in primary data sources, and inherent difficulties in validation.ConclusionsIPV is associated with TOP. Novel public health approaches are required to prevent IPV. TOP services provide an opportune health-based setting to design and test interventions.Please see later in the article for the Editors' Summary

  4. f

    Supplementary file 1_Intimate partner and family violence and mental health...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Jun 23, 2025
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    Keynejad, Roxanne; Sultana, Razia; Nalwadda, Oliva; Bhavsar, Vishal; Agyekum, Buruwaa Adomako; Syed, Bushra; Mutiso, Mathew (2025). Supplementary file 1_Intimate partner and family violence and mental health during the SARS-CoV-2 pandemic: a multi-country survey.docx [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0002052020
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    Dataset updated
    Jun 23, 2025
    Authors
    Keynejad, Roxanne; Sultana, Razia; Nalwadda, Oliva; Bhavsar, Vishal; Agyekum, Buruwaa Adomako; Syed, Bushra; Mutiso, Mathew
    Description

    BackgroundDuring COVID-19, concerns were raised about a 'shadow pandemic' of violence against women and girls. However, UN guidance discouraged direct enquiry about intimate partner and family violence (IPFV), instead advocating proxy questions on subjects like relationship difficulties and perceived safety. We investigated the relationship between partner difficulties and family difficulties and common mental disorder (CMDs) during COVID-19 in low-, middle-, and high-income countries.MethodsWe carried out and analysed an online survey, measuring partner difficulties and family difficulties (as proxy items for IPFV), CMDs, and socioeconomic risk factors.ResultsThere were 409 respondents in 19 countries. The prevalence of CMDs was 32.27%. After all adjustments, the risk ratio (RR) for the association of partner difficulties with CMD was 1.30 (95% CI: 1.06, 1.60). The adjusted RR of family difficulties with CMD was 1.18 (95% CI: 0.97, 1.44). Both partner and family difficulties were significantly associated with CMD in women [partner difficulties RR = 1.31 (95% CI: 1.05, 1.65); family difficulties RR = 1.37 (95% CI: 1.09, 1.72)].ConclusionCollecting proxy data on IPFV is feasible and was related to CMDs during COVID-19 in a range of settings. Like partner violence, family violence may also be related to increased CMDs, especially in women. Policy responses for post-pandemic recovery and preparation for future emergencies should consider the health impacts of family violence as well as partner violence.

  5. m

    Intentional_Homicides_Per_100000_People - Ecuador

    • macro-rankings.com
    csv, excel
    Updated Dec 31, 2023
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    macro-rankings (2023). Intentional_Homicides_Per_100000_People - Ecuador [Dataset]. https://www.macro-rankings.com/selected-country-rankings/intentional-homicides-per-100000-people/ecuador
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    excel, csvAvailable download formats
    Dataset updated
    Dec 31, 2023
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    Ecuador
    Description

    Time series data for the statistic Intentional_Homicides_Per_100000_People and country Ecuador. Indicator Definition: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.The statistic "Intentional Homicides Per 100000 People" stands at 45.72 per cent mille as of 12/31/2023, the highest value at least since 12/31/1991, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 18.31 percentage points compared to the value the year prior.The 1 year change in percentage points is 18.31.The 3 year change in percentage points is 37.90.The 5 year change in percentage points is 39.89.The 10 year change in percentage points is 34.81.The Serie's long term average value is 13.05 per cent mille. It's latest available value, on 12/31/2023, is 32.68 percentage points higher, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2017, to it's latest available value, on 12/31/2023, is +39.94.The Serie's change in percentage points from it's maximum value, on 12/31/2023, to it's latest available value, on 12/31/2023, is 0.0.

  6. m

    Intentional_Homicides_Per_100000_People - Grenada

    • macro-rankings.com
    csv, excel
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    macro-rankings, Intentional_Homicides_Per_100000_People - Grenada [Dataset]. https://www.macro-rankings.com/Selected-Country-Rankings/Intentional-Homicides-Per-100000-People/Grenada
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    excel, csvAvailable download formats
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    Grenada
    Description

    Time series data for the statistic Intentional_Homicides_Per_100000_People and country Grenada. Indicator Definition: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.The statistic "Intentional Homicides Per 100000 People" stands at 13.67 per cent mille as of 12/31/2023, the highest value since 12/31/2020. Regarding the One-Year-Change of the series, the current value constitutes an increase of 6.82 percentage points compared to the value the year prior.The 1 year change in percentage points is 6.82.The 3 year change in percentage points is 1.63.The 5 year change in percentage points is 3.29.The 10 year change in percentage points is 8.38.The Serie's long term average value is 9.22 per cent mille. It's latest available value, on 12/31/2023, is 4.45 percentage points higher, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2011, to it's latest available value, on 12/31/2023, is +10.10.The Serie's change in percentage points from it's maximum value, on 12/31/2008, to it's latest available value, on 12/31/2023, is -0.762.

  7. f

    Data from: The contribution of age structure to the international homicide...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Oct 9, 2019
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    Lynch, James P.; Santos, Mateus Rennó; Porter, Lauren C.; Testa, Alexander (2019). The contribution of age structure to the international homicide decline [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000163734
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    Dataset updated
    Oct 9, 2019
    Authors
    Lynch, James P.; Santos, Mateus Rennó; Porter, Lauren C.; Testa, Alexander
    Description

    BackgroundSince 1990, the world’s homicide rate has declined by nearly 20%. While prior research has documented parallel homicide declines across many individual countries, the causes of a shared international homicide decline remain unknown. Drawing on a worldwide process of population ageing, and on research linking age to criminal activity, this study investigates the contribution of global demographic shifts to the international homicide decline.MethodsWe draw from (1) a High Coverage Sample of 126 countries since 1990, and (2) a Long Series Sample of 26 countries since 1960 and utilize fixed-effect regressions to evaluate the impact of age structure on homicide trends. In addition, we use a quantile regression to explore variations in the relationship between age structure and homicide conditional on homicide levels.FindingsResults using the High Coverage Sample suggest no relationship between age structure and homicide. However, results from the Long Series Sample suggest that changes in the relative size of countries’ youth population is a major predictor of homicide trends since 1960. In exploring this divergence, we find that the influence of age structure on homicide becomes less evident as other risk factors for violence gain prominence. Thus, while high homicide countries had the most to gain from falling homicide rates, the safety benefits of an ageing population have been concentrated among the least violent countries.InterpretationWhile the homicide declines of individual countries have often been attributed to domestic policies, the universality of international homicide trends suggests the influence of broader global phenomenon. We find that countries’ homicide trends are strongly associated with changes in the size of their youth populations, particularly where there are few competing criminogenic forces. Based on these results, we propose an explanation for the international homicide decline, while highlighting the importance of demographic patterns in explaining homicide trends.

  8. P

    Portugal PT: Intentional Homicides: Female: per 100,000 Female

    • ceicdata.com
    Updated Jun 15, 2019
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    CEICdata.com (2019). Portugal PT: Intentional Homicides: Female: per 100,000 Female [Dataset]. https://www.ceicdata.com/en/portugal/health-statistics/pt-intentional-homicides-female-per-100000-female
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    Dataset updated
    Jun 15, 2019
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2003 - Dec 1, 2014
    Area covered
    Portugal
    Description

    Portugal PT: Intentional Homicides: Female: per 100,000 Female data was reported at 0.874 Ratio in 2014. This records a decrease from the previous number of 0.941 Ratio for 2013. Portugal PT: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 0.705 Ratio from Dec 2000 (Median) to 2014, with 15 observations. The data reached an all-time high of 0.941 Ratio in 2013 and a record low of 0.466 Ratio in 2001. Portugal PT: Intentional Homicides: Female: per 100,000 Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Portugal – Table PT.World Bank: Health Statistics. Intentional homicides, female are estimates of unlawful female 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.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;

  9. f

    Data from: Drought and intimate partner violence towards women in 19...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Mar 19, 2020
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    Bendavid, Eran; Weiser, Sheri D.; Charlebois, Edwin D.; Nash, Denis; Epstein, Adrienne (2020). Drought and intimate partner violence towards women in 19 countries in sub-Saharan Africa during 2011-2018: A population-based study [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000468514
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    Dataset updated
    Mar 19, 2020
    Authors
    Bendavid, Eran; Weiser, Sheri D.; Charlebois, Edwin D.; Nash, Denis; Epstein, Adrienne
    Area covered
    Sub-Saharan Africa, Africa
    Description

    BackgroundDrought has many known deleterious impacts on human health, but little is known about the relationship between drought and intimate partner violence (IPV). We aimed to evaluate this relationship and to assess effect heterogeneity between population subgroups among women in 19 sub-Saharan African countries.Methods and findingsWe used data from 19 Demographic and Health Surveys from 2011 to 2018 including 83,990 partnered women aged 15–49 years. Deviations in rainfall in the year before the survey date were measured relative to the 29 previous years using Climate Hazards Group InfraRed Precipitation with Station data, with recent drought classified as ordinal categorical variable (severe: ≤10th percentile; mild/moderate: >10th percentile to ≤30th percentile; none: >30th percentile). We considered 4 IPV-related outcomes: reporting a controlling partner (a risk factor for IPV) and experiencing emotional violence, physical violence, or sexual violence in the 12 months prior to survey. Logistic regression was used to estimate marginal risk differences (RDs). We evaluated the presence of effect heterogeneity by age group and employment status. Of the 83,990 women included in the analytic sample, 10.7% (9,019) experienced severe drought and 23.4% (19,639) experienced mild/moderate drought in the year prior to the survey, with substantial heterogeneity across countries. The mean age of respondents was 30.8 years (standard deviation 8.2). The majority of women lived in rural areas (66.3%) and were married (73.3%), while less than half (42.6%) were literate. Women living in severe drought had higher risk of reporting a controlling partner (marginal RD in percentage points = 3.0, 95% CI 1.3, 4.6; p < 0.001), experiencing physical violence (marginal RD = 0.8, 95% CI 0.1, 1.5; p = 0.019), and experiencing sexual violence (marginal RD = 1.2, 95% CI 0.4, 2.0; p = 0.001) compared with women not experiencing drought. Women living in mild/moderate drought had higher risk of reporting physical (marginal RD = 0.7, 95% CI 0.2, 1.1; p = 0.003) and sexual violence (marginal RD = 0.7, 95% CI 0.3, 1.2; p = 0.001) compared with those not living in drought. We did not find evidence for an association between drought and emotional violence. In analyses stratified by country, we found 3 settings where drought was protective for at least 1 measure of IPV: Namibia, Tanzania, and Uganda. We found evidence for effect heterogeneity (additive interaction) for the association between drought and younger age and between drought and employment status, with stronger associations between drought and IPV among adolescent girls and unemployed women. This study is limited by its lack of measured hypothesized mediating variables linking drought and IPV, prohibiting a formal mediation analysis. Additional limitations include the potential for bias due to residual confounding and potential non-differential misclassification of the outcome measures leading to an attenuation of observed associations.ConclusionsOur findings indicate that drought was associated with measures of IPV towards women, with larger positive associations among adolescent girls and unemployed women. There was heterogeneity in these associations across countries. Weather shocks may exacerbate vulnerabilities among women in sub-Saharan Africa. Future work should further evaluate potential mechanisms driving these relationships.

  10. Data from: Exploring the Complexities of Gender-Based Violence in South...

    • figshare.com
    pdf
    Updated Mar 27, 2025
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    Iduabo John Afa; Elisabet Alvarez Merino (2025). Exploring the Complexities of Gender-Based Violence in South Africa: A Comprehensive Analysis [Dataset]. http://doi.org/10.6084/m9.figshare.28677218.v1
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    pdfAvailable download formats
    Dataset updated
    Mar 27, 2025
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Iduabo John Afa; Elisabet Alvarez Merino
    License

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

    Description

    In present times, gender-based violence (GBV) is a global scourge. It is highly prevalent in South Africa, where the rates of incidents are exorbitant, particularly those of sexual violence against women. The goal of this paper is to explore the implications of factors such as societal norms affected by the country’s unique historical circumstances that promote rising rates of gender-based violence, significant underreporting of these instances, sexual violence and the consequences for the survivors. The paper uses secondary data to study the intersectionality of gender, population group (race), socio-economic status, and geographical location. We further analyze the sociodemographic of GBV (particularly rape) victims and perpetrators to put the focus on better and more gender-responsive prevention strategies. The paper highlights the importance of paying attention to intimate partner violence (IPV) as this constitutes a highly significant percentage of the total cases of rape and femicide. The study shows that non-white women constitute the most vulnerable group to GBV. We conclude that proper mechanisms must be put in place which require the cooperation of the police, judicial, medical, social and other support services to properly tackle this violence which must account for every population group, especially the historically marginalized ones.Citation: Alvarez Merino, E., & Afa, I. J. (2025). Exploring the Complexities of Gender-Based Violence in South Africa: A Comprehensive Analysis. International Journal of Humanities and Social Science, 15, 26-38. https://doi.org/10.1080/ijhss.v15p3URL: https://ijhssnet.com/journal/index/5011

  11. m

    Intentional_Homicides_Per_100000_People - Guatemala

    • macro-rankings.com
    csv, excel
    Updated Mar 16, 2023
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    macro-rankings (2023). Intentional_Homicides_Per_100000_People - Guatemala [Dataset]. https://www.macro-rankings.com/selected-country-rankings/intentional-homicides-per-100000-people/guatemala
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    excel, csvAvailable download formats
    Dataset updated
    Mar 16, 2023
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    Guatemala
    Description

    Time series data for the statistic Intentional_Homicides_Per_100000_People and country Guatemala. Indicator Definition: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.The statistic "Intentional Homicides Per 100000 People" stands at 23.37 per cent mille as of 12/31/2023, the highest value since 12/31/2020. Regarding the One-Year-Change of the series, the current value constitutes an increase of 1.32 percentage points compared to the value the year prior.The 1 year change in percentage points is 1.32.The 3 year change in percentage points is 5.18.The 5 year change in percentage points is -5.54.The 10 year change in percentage points is -10.14.The Serie's long term average value is 32.32 per cent mille. It's latest available value, on 12/31/2023, is 8.95 percentage points lower, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2020, to it's latest available value, on 12/31/2023, is +5.18.The Serie's change in percentage points from it's maximum value, on 12/31/2009, to it's latest available value, on 12/31/2023, is -22.34.

  12. m

    Intentional_Homicides_Per_100000_People - Bahamas, The

    • macro-rankings.com
    csv, excel
    Updated Dec 31, 2022
    + more versions
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    macro-rankings (2022). Intentional_Homicides_Per_100000_People - Bahamas, The [Dataset]. https://www.macro-rankings.com/selected-country-rankings/intentional-homicides-per-100000-people/bahamas
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    excel, csvAvailable download formats
    Dataset updated
    Dec 31, 2022
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    The Bahamas
    Description

    Time series data for the statistic Intentional_Homicides_Per_100000_People and country Bahamas, The. Indicator Definition: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.The statistic "Intentional Homicides Per 100000 People" stands at 32.20 per cent mille as of 12/31/2022, the highest value since 12/31/2016. Regarding the One-Year-Change of the series, the current value constitutes an increase of 2.18 percentage points compared to the value the year prior.The 1 year change in percentage points is 2.18.The 3 year change in percentage points is 8.13.The 5 year change in percentage points is 0.9549.The 10 year change in percentage points is 2.90.The Serie's long term average value is 21.66 per cent mille. It's latest available value, on 12/31/2022, is 10.54 percentage points higher, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/1991, to it's latest available value, on 12/31/2022, is +22.22.The Serie's change in percentage points from it's maximum value, on 12/31/2015, to it's latest available value, on 12/31/2022, is -5.69.

  13. m

    Intentional_Homicides_Per_100000_People - Dominica

    • macro-rankings.com
    csv, excel
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    macro-rankings, Intentional_Homicides_Per_100000_People - Dominica [Dataset]. https://www.macro-rankings.com/Selected-Country-Rankings/Intentional-Homicides-Per-100000-People/Dominica
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    csv, excelAvailable download formats
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    Dominica
    Description

    Time series data for the statistic Intentional_Homicides_Per_100000_People and country Dominica. Indicator Definition: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.The statistic "Intentional Homicides Per 100000 People" stands at 27.06 per cent mille as of 12/31/2023. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -1.37 percentage points compared to the value the year prior.The 1 year change in percentage points is -1.37.The 3 year change in percentage points is 4.87.The 5 year change in percentage points is 7.99.The Serie's long term average value is 14.99 per cent mille. It's latest available value, on 12/31/2023, is 12.07 percentage points higher, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2001, to it's latest available value, on 12/31/2023, is +25.60.The Serie's change in percentage points from it's maximum value, on 12/31/2022, to it's latest available value, on 12/31/2023, is -1.37.

  14. m

    Intentional_Homicides_Per_100000_People - Jamaica

    • macro-rankings.com
    csv, excel
    Updated Dec 31, 2023
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    macro-rankings (2023). Intentional_Homicides_Per_100000_People - Jamaica [Dataset]. https://www.macro-rankings.com/Selected-Country-Rankings/Intentional-Homicides-Per-100000-People/Jamaica
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Dec 31, 2023
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    Jamaica
    Description

    Time series data for the statistic Intentional_Homicides_Per_100000_People and country Jamaica. Indicator Definition: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.The statistic "Intentional Homicides Per 100000 People" stands at 49.44 per cent mille as of 12/31/2023. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -3.67 percentage points compared to the value the year prior.The 1 year change in percentage points is -3.67.The 3 year change in percentage points is 2.35.The 5 year change in percentage points is 3.73.The 10 year change in percentage points is 6.26.The Serie's long term average value is 42.92 per cent mille. It's latest available value, on 12/31/2023, is 6.52 percentage points higher, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/1990, to it's latest available value, on 12/31/2023, is +26.58.The Serie's change in percentage points from it's maximum value, on 12/31/2005, to it's latest available value, on 12/31/2023, is -12.86.

  15. w

    Afghanistan - Demographic and Health Survey 2015 - Dataset - waterdata

    • wbwaterdata.org
    Updated Mar 16, 2020
    + more versions
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    (2020). Afghanistan - Demographic and Health Survey 2015 - Dataset - waterdata [Dataset]. https://wbwaterdata.org/dataset/afghanistan-demographic-and-health-survey-2015
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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
    Afghanistan
    Description

    The 2015 Afghanistan Demographic and Health Survey (2015 AfDHS) is the first DHS survey conducted in Afghanistan. The main objective of the 2015 AfDHS is to provide up-to-date information on fertility and childhood mortality levels; fertility preferences; awareness, approval, and use of family planning methods; maternal and child health; and knowledge and attitudes toward HIV/AIDS and other sexually transmitted infections (STIs). The 2015 AfDHS calls for a nationally representative sample of 25,650 residential households; in all the sample households, all ever-married women age 15-49 who are usual members of the selected households and those who spent the night before the survey in the selected households were eligible to be interviewed in the survey. In half of the sample households, all ever-married men age 15-49 who are usual members of the selected households and those who spent the night before the survey in the selected households were eligible to be interviewed in the survey. In each household, one woman age 15-49 was randomly selected to be eligible for the Domestic Violence module. The 2015 AfDHS was designed to provide most of the key indicators for the country as a whole, for urban and rural areas separately, and for each of the 34 provinces in Afghanistan. These provinces are located in eight regions as follows: The Northern region: Balkh, Faryab, Jawzjan, Samangan, and Sar-E-Pul The North Eastern region: Badakhshan, Baghlan, Kunduz, and Takhar The Western region: Badghis, Farah, Ghor, and Herat The Central Highland region: Bamyan and Daykundi The Capital region: Kabul, Kapisa, Logar, Panjsher, Parwan, and Wardak The Southern region: Ghazni, Helmand, Kandahar, Nimroz, Urozgan, and Zabul The South Eastern region: Khost, Paktika, and Paktya The Eastern region: Kunarha, Laghman, Nangarhar, and Nooristan

  16. m

    Intentional_Homicides_Per_100000_People - St. Lucia

    • macro-rankings.com
    csv, excel
    Updated Mar 15, 2023
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    macro-rankings (2023). Intentional_Homicides_Per_100000_People - St. Lucia [Dataset]. https://www.macro-rankings.com/selected-country-rankings/intentional-homicides-per-100000-people/saint-lucia
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    excel, csvAvailable download formats
    Dataset updated
    Mar 15, 2023
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    Saint Lucia
    Description

    Time series data for the statistic Intentional_Homicides_Per_100000_People and country St. Lucia. Indicator Definition: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.The statistic "Intentional Homicides Per 100000 People" stands at 39.04 per cent mille as of 12/31/2023. Regarding the One-Year-Change of the series, the current value constitutes an increase of 2.13 percentage points compared to the value the year prior.The 1 year change in percentage points is 2.13.The 3 year change in percentage points is 9.87.The 5 year change in percentage points is 18.14.The 10 year change in percentage points is 20.01.The Serie's long term average value is 19.77 per cent mille. It's latest available value, on 12/31/2023, is 19.28 percentage points higher, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/1993, to it's latest available value, on 12/31/2023, is +33.48.The Serie's change in percentage points from it's maximum value, on 12/31/2021, to it's latest available value, on 12/31/2023, is -0.167.

  17. m

    Intentional_Homicides_Per_100000_People - Iceland

    • macro-rankings.com
    csv, excel
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    macro-rankings, Intentional_Homicides_Per_100000_People - Iceland [Dataset]. https://www.macro-rankings.com/Selected-Country-Rankings/Intentional-Homicides-Per-100000-People/Iceland
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    csv, excelAvailable download formats
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    Iceland
    Description

    Time series data for the statistic Intentional_Homicides_Per_100000_People and country Iceland. Indicator Definition: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.The statistic "Intentional Homicides Per 100000 People" stands at 1.29 per cent mille as of 12/31/2023. Regarding the One-Year-Change of the series, the current value constitutes an increase of 0.2385 percentage points compared to the value the year prior.The 1 year change in percentage points is 0.2385.The 3 year change in percentage points is -0.0737.The 5 year change in percentage points is 0.4399.The 10 year change in percentage points is 0.9814.The Serie's long term average value is 0.719 per cent mille. It's latest available value, on 12/31/2023, is 0.571 percentage points higher, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2006, to it's latest available value, on 12/31/2023, is +1.29.The Serie's change in percentage points from it's maximum value, on 12/31/2000, to it's latest available value, on 12/31/2023, is -0.487.

  18. m

    Intentional_Homicides_Per_100000_People - Guyana

    • macro-rankings.com
    csv, excel
    Updated Dec 31, 2023
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    macro-rankings (2023). Intentional_Homicides_Per_100000_People - Guyana [Dataset]. https://www.macro-rankings.com/Selected-Country-Rankings/Intentional-Homicides-Per-100000-People/Guyana
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    excel, csvAvailable download formats
    Dataset updated
    Dec 31, 2023
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    Guyana
    Description

    Time series data for the statistic Intentional_Homicides_Per_100000_People and country Guyana. Indicator Definition: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.The statistic "Intentional Homicides Per 100000 People" stands at 19.12 per cent mille as of 12/31/2023. Regarding the One-Year-Change of the series, the current value constitutes an increase of 3.18 percentage points compared to the value the year prior.The 1 year change in percentage points is 3.18.The 3 year change in percentage points is -0.323.The 5 year change in percentage points is 5.10.The 10 year change in percentage points is -1.55.The Serie's long term average value is 16.75 per cent mille. It's latest available value, on 12/31/2023, is 2.37 percentage points higher, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2000, to it's latest available value, on 12/31/2023, is +9.18.The Serie's change in percentage points from it's maximum value, on 12/31/2003, to it's latest available value, on 12/31/2023, is -8.27.

  19. m

    Intentional_Homicides_Per_100000_People - St. Kitts and Nevis

    • macro-rankings.com
    csv, excel
    Updated Mar 15, 2023
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    macro-rankings (2023). Intentional_Homicides_Per_100000_People - St. Kitts and Nevis [Dataset]. https://www.macro-rankings.com/selected-country-rankings/intentional-homicides-per-100000-people/saint-kitts-and-nevis
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    excel, csvAvailable download formats
    Dataset updated
    Mar 15, 2023
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    Saint Kitts and Nevis
    Description

    Time series data for the statistic Intentional_Homicides_Per_100000_People and country St. Kitts and Nevis. Indicator Definition: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.The statistic "Intentional Homicides Per 100000 People" stands at 64.16 per cent mille as of 12/31/2023, the highest value since 12/31/2012. Regarding the One-Year-Change of the series, the current value constitutes an increase of 40.61 percentage points compared to the value the year prior.The 1 year change in percentage points is 40.61.The 3 year change in percentage points is 42.82.The 5 year change in percentage points is 15.23.The Serie's long term average value is 31.50 per cent mille. It's latest available value, on 12/31/2023, is 32.66 percentage points higher, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2000, to it's latest available value, on 12/31/2023, is +57.53.The Serie's change in percentage points from it's maximum value, on 12/31/2011, to it's latest available value, on 12/31/2023, is -8.36.

  20. m

    Intentional_Homicides_Per_100000_People - Lithuania

    • macro-rankings.com
    csv, excel
    Updated Mar 16, 2023
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    macro-rankings (2023). Intentional_Homicides_Per_100000_People - Lithuania [Dataset]. https://www.macro-rankings.com/selected-country-rankings/intentional-homicides-per-100000-people/lithuania
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Mar 16, 2023
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    Lithuania
    Description

    Time series data for the statistic Intentional_Homicides_Per_100000_People and country Lithuania. Indicator Definition: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.The statistic "Intentional Homicides Per 100000 People" stands at 2.63 per cent mille as of 12/31/2023. Regarding the One-Year-Change of the series, the current value constitutes an increase of 0.2493 percentage points compared to the value the year prior.The 1 year change in percentage points is 0.2493.The 3 year change in percentage points is -0.9848.The 5 year change in percentage points is -0.655.The 10 year change in percentage points is -4.07.The Serie's long term average value is 7.46 per cent mille. It's latest available value, on 12/31/2023, is 4.83 percentage points lower, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2022, to it's latest available value, on 12/31/2023, is +0.249.The Serie's change in percentage points from it's maximum value, on 12/31/1995, to it's latest available value, on 12/31/2023, is -11.21.

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Fran Llamas (2024). Crime Rate and GDP Datasets 2021 & 2023 [Dataset]. https://www.kaggle.com/datasets/franllamas/crime-rate-and-gdp-datasets-2021-and-2023
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Crime Rate and GDP Datasets 2021 & 2023

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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
May 28, 2024
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Fran Llamas
Description

Overview:

This project aims to investigate the potential correlation between the Gross Domestic Product (GDP) of approximately 190 countries for the years 2021 and 2023 and their corresponding crime ratings. The crime ratings are represented on a scale from 0 to 10, with 0 indicating minimal or null crime activity and 10 representing the highest level of criminal activity.

Dataset:

The dataset used in this project comprises GDP data for the years 2021 and 2023 for around 190 countries, sourced from reputable international databases. Additionally, crime rating scores for the same countries and years are collected from credible sources such as governmental agencies, law enforcement organizations, or reputable research institutions.

Methodology:

  • Data Collection: GDP data for 2021 and 2023, along with crime rating scores, are gathered for approximately 190 countries.
  • Data Preprocessing: The collected data is cleaned and standardized to ensure consistency and compatibility across different datasets.
  • Analysis: Statistical methods and data visualization techniques are employed to explore the potential relationship between GDP and crime ratings.
  • Interpretation: Findings from the analysis are interpreted to determine the strength and direction of any observed correlations between GDP and crime ratings.
  • Conclusion: Based on the analysis results, conclusions are drawn regarding the existence and significance of the relationship between GDP and crime ratings.

Expected Outcomes:

Identification of any significant correlations or patterns between GDP and crime ratings across different countries. Insights into the potential socioeconomic factors influencing crime rates and their relationship with economic indicators like GDP. Implications for policymakers, law enforcement agencies, and researchers in understanding the dynamics between economic development and crime prevalence.

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