{"id": 931014, "name": "Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of ever-partnered women ages 15-49)", "unit": "%", "createdAt": "2024-06-11T17:33:52.000Z", "updatedAt": "2025-08-21T10:14:41.000Z", "coverage": "", "timespan": "2000-2017", "datasetId": 6554, "shortUnit": "%", "columnOrder": 0, "shortName": "sg_vaw_1549_zs", "catalogPath": "grapher/wb/2024-06-10/gender_statistics/gender_statistics#sg_vaw_1549_zs", "descriptionFromProducer": "**Long definition from World Bank:** Proportion of women subjected to physical and/or sexual violence in the last 12 months is the percentage of ever partnered women age 15-49 who are subjected to physical violence, sexual violence or both by a current or former intimate partner in the last 12 months.\n\n**Source from World Bank:** United Nations Statistics Division (UNSD)\n\n**Limitations and exceptions from World Bank:** Collecting valid, reliable, and ethical data on domestic violence poses particular challenges because what constitutes violence or abuse varies across cultures and among individuals. In addition, a culture of silence usually surrounds domestic violence and can affect reporting.\n\n**License type from World Bank:** CC BY-4.0\n\n**Development relevance from World Bank:** Violence against women is an obstacle to the achievement of the objectives of equality, development and peace. It both violates and impairs or nullifies the enjoyment by women of their human rights and fundamental freedoms. Tolerance and experience of domestic violence are significant barriers to the empowerment of women and it has a negative health consequences for victims, especially with respect to the reproductive health of women and the physical, emotional, and mental health of their children\n\n**General comments from World Bank:** This is the Sustainable Development Goal indicator 5.2.1[https://unstats.un.org/sdgs/metadata/].\n\n**World Bank variable id:** SG.VAW.1549.ZS", "type": "float", "dataChecksum": "3586889058800424393", "metadataChecksum": "1735751310271479152", "datasetName": "World Bank Gender Statistics", "updatePeriodDays": 365, "datasetVersion": "2024-06-10", "nonRedistributable": false, "display": {"unit": "%", "shortUnit": "%", "numDecimalPlaces": 1}, "schemaVersion": 2, "presentation": {"topicTagsLinks": ["Global Education"]}, "dimensions": {"years": {"values": [{"id": 2015}, {"id": 2016}, {"id": 2012}, {"id": 2006}, {"id": 2010}, {"id": 2017}, {"id": 2005}, {"id": 2014}, {"id": 2013}, {"id": 2011}, {"id": 2008}, {"id": 2007}, {"id": 2009}, {"id": 2000}]}, "entities": {"values": [{"id": 15, "name": "Afghanistan", "code": "AFG"}, {"id": 19, "name": "Angola", "code": "AGO"}, {"id": 22, "name": "Armenia", "code": "ARM"}, {"id": 24, "name": "Austria", "code": "AUT"}, {"id": 25, "name": "Azerbaijan", "code": "AZE"}, {"id": 28, "name": "Bangladesh", "code": "BGD"}, {"id": 4, "name": "Belgium", "code": "BEL"}, {"id": 34, "name": "Bolivia", "code": "BOL"}, {"id": 39, "name": "Bulgaria", "code": "BGR"}, {"id": 40, "name": "Burkina Faso", "code": "BFA"}, {"id": 41, "name": "Burundi", "code": "BDI"}, {"id": 45, "name": "Cape Verde", "code": "CPV"}, {"id": 42, "name": "Cambodia", "code": "KHM"}, {"id": 43, "name": "Cameroon", "code": "CMR"}, {"id": 174, "name": "Central African Republic", "code": "CAF"}, {"id": 173, "name": "Chad", "code": "TCD"}, {"id": 170, "name": "Colombia", "code": "COL"}, {"id": 169, "name": "Comoros", "code": "COM"}, {"id": 167, "name": "Democratic Republic of Congo", "code": "COD"}, {"id": 143, "name": "Cote d'Ivoire", "code": "CIV"}, {"id": 165, "name": "Croatia", "code": "HRV"}, {"id": 163, "name": "Cyprus", "code": "CYP"}, {"id": 162, "name": "Czechia", "code": "CZE"}, {"id": 161, "name": "Denmark", "code": "DNK"}, {"id": 160, "name": "Dominican Republic", "code": "DOM"}, {"id": 201, "name": "Ecuador", "code": "ECU"}, {"id": 65, "name": "Egypt", "code": "EGY"}, {"id": 259, "name": "El Salvador", "code": "SLV"}, {"id": 159, "name": "Equatorial Guinea", "code": "GNQ"}, {"id": 156, "name": "Estonia", "code": "EST"}, {"id": 158, "name": "Ethiopia", "code": "ETH"}, {"id": 202, "name": "Fiji", "code": "FJI"}, {"id": 155, "name": "Finland", "code": "FIN"}, {"id": 3, "name": "France", "code": "FRA"}, {"id": 153, "name": "Gabon", "code": "GAB"}, {"id": 151, "name": "Gambia", "code": "GMB"}, {"id": 6, "name": "Germany", "code": "DEU"}, {"id": 150, "name": "Ghana", "code": "GHA"}, {"id": 149, "name": "Greece", "code": "GRC"}, {"id": 148, "name": "Guatemala", "code": "GTM"}, {"id": 145, "name": "Haiti", "code": "HTI"}, {"id": 139, "name": "Honduras", "code": "HND"}, {"id": 138, "name": "Hungary", "code": "HUN"}, {"id": 137, "name": "India", "code": "IND"}, {"id": 2, "name": "Ireland", "code": "IRL"}, {"id": 8, "name": "Italy", "code": "ITA"}, {"id": 132, "name": "Jamaica", "code": "JAM"}, {"id": 130, "name": "Jordan", "code": "JOR"}, {"id": 129, "name": "Kenya", "code": "KEN"}, {"id": 204, "name": "Kiribati", "code": "KIR"}, {"id": 126, "name": "Kyrgyzstan", "code": "KGZ"}, {"id": 125, "name": "Laos", "code": "LAO"}, {"id": 122, "name": "Latvia", "code": "LVA"}, {"id": 121, "name": "Liberia", "code": "LBR"}, {"id": 119, "name": "Lithuania", "code": "LTU"}, {"id": 210, "name": "Luxembourg", "code": "LUX"}, {"id": 117, "name": "Malawi", "code": "MWI"}, {"id": 211, "name": "Maldives", "code": "MDV"}, {"id": 115, "name": "Mali", "code": "MLI"}, {"id": 212, "name": "Malta", "code": "MLT"}, {"id": 223, "name": "Marshall Islands", "code": "MHL"}, {"id": 113, "name": "Mexico", "code": "MEX"}, {"id": 222, "name": "Micronesia (country)", "code": "FSM"}, {"id": 111, "name": "Moldova", "code": "MDA"}, {"id": 112, "name": "Mongolia", "code": "MNG"}, {"id": 109, "name": "Mozambique", "code": "MOZ"}, {"id": 142, "name": "Myanmar", "code": "MMR"}, {"id": 108, "name": "Namibia", "code": "NAM"}, {"id": 107, "name": "Nepal", "code": "NPL"}, {"id": 5, "name": "Netherlands", "code": "NLD"}, {"id": 105, "name": "Nicaragua", "code": "NIC"}, {"id": 103, "name": "Nigeria", "code": "NGA"}, {"id": 224, "name": "Palau", "code": "PLW"}, {"id": 100, "name": "Panama", "code": "PAN"}, {"id": 98, "name": "Paraguay", "code": "PRY"}, {"id": 97, "name": "Peru", "code": "PER"}, {"id": 96, "name": "Philippines", "code": "PHL"}, {"id": 11, "name": "Poland", "code": "POL"}, {"id": 95, "name": "Portugal", "code": "PRT"}, {"id": 92, "name": "Romania", "code": "ROU"}, {"id": 91, "name": "Rwanda", "code": "RWA"}, {"id": 239, "name": "Samoa", "code": "WSM"}, {"id": 232, "name": "Sao Tome and Principe", "code": "STP"}, {"id": 89, "name": "Senegal", "code": "SEN"}, {"id": 87, "name": "Sierra Leone", "code": "SLE"}, {"id": 85, "name": "Slovakia", "code": "SVK"}, {"id": 83, "name": "Slovenia", "code": "SVN"}, {"id": 195, "name": "Solomon Islands", "code": "SLB"}, {"id": 9, "name": "Spain", "code": "ESP"}, {"id": 10, "name": "Sweden", "code": "SWE"}, {"id": 76, "name": "Tajikistan", "code": "TJK"}, {"id": 64, "name": "Tanzania", "code": "TZA"}, {"id": 225, "name": "East Timor", "code": "TLS"}, {"id": 74, "name": "Togo", "code": "TGO"}, {"id": 235, "name": "Tonga", "code": "TON"}, {"id": 73, "name": "Trinidad and Tobago", "code": "TTO"}, {"id": 70, "name": "Turkey", "code": "TUR"}, {"id": 237, "name": "Tuvalu", "code": "TUV"}, {"id": 68, "name": "Uganda", "code": "UGA"}, {"id": 67, "name": "Ukraine", "code": "UKR"}, {"id": 1, "name": "United Kingdom", "code": "GBR"}, {"id": 63, "name": "Uruguay", "code": "URY"}, {"id": 221, "name": "Vanuatu", "code": "VUT"}, {"id": 84, "name": "Vietnam", "code": "VNM"}, {"id": 60, "name": "Zambia", "code": "ZMB"}, {"id": 80, "name": "Zimbabwe", "code": "ZWE"}]}}, "origins": [{"id": 910, "title": "World Bank Gender Statistics", "description": "The World Bank Gender Statistics dataset provides a comprehensive range of gender-related indicators grouped by various topics. These indicators are categorized under different themes such as education, employment and time use, entrepreneurship, environment, health, leadership, norms and decision-making, technology, violence, and contextual information. Each category contains numerous specific indicators, covering a wide range of issues such as literacy rates, employment by sector, legal rights, health statistics, and more. This dataset offers detailed information and insights into various aspects of gender disparity and equality across different regions and countries.", "producer": "World Bank", "citationFull": "World Bank Gender Statistics, World Bank, 2024. Licence: CC BY 4.0.", "attributionShort": "World Bank", "urlMain": "https://databank.worldbank.org/source/gender-statistics#", "dateAccessed": "2024-06-10", "datePublished": "2024-04-15", "license": {"url": "https://datacatalog.worldbank.org/public-licenses#cc-by", "name": "CC BY 4.0"}}]}