{"id": 1105049, "name": "Share of married women making their own health care decisions", "unit": "%", "createdAt": "2025-09-13T20:18:21.000Z", "updatedAt": "2025-09-16T20:22:38.000Z", "coverage": "", "timespan": "1999-2022", "datasetId": 7209, "shortUnit": "%", "columnOrder": 0, "shortName": "sg_dmk_hlth_wf_zs", "catalogPath": "grapher/wb/2025-09-08/gender_statistics/gender_statistics#sg_dmk_hlth_wf_zs", "descriptionShort": "Share of married women aged 15\u201349 reporting that they themselves are the main decision-makers for their health care.", "descriptionFromProducer": "**Definition:** Decision maker about women own health care: mainly wife  is Percentage of currently married women aged 15-49 for whom the decision maker for their own health care is mainly the respondent", "type": "float", "dataChecksum": "5445684420513786134", "metadataChecksum": "1179725913775532792", "datasetName": "World Bank Gender Statistics", "updatePeriodDays": 365, "datasetVersion": "2025-09-08", "nonRedistributable": false, "display": {"unit": "%", "shortUnit": "%", "tolerance": 10, "numDecimalPlaces": 1}, "schemaVersion": 2, "presentation": {"attribution": "DHS via World Bank", "topicTagsLinks": ["Women's Rights", "Global Education"]}, "descriptionKey": ["This measures the percentage of married women aged 15\u201349 who decide on their own health care.", "Women are counted if they report being the main decision-maker.", "Health care autonomy is important for women\u2019s well-being and reproductive rights.", "Greater decision-making power suggests stronger independence and bargaining power.", "Limited autonomy may reflect cultural or household barriers to women\u2019s control over health."], "dimensions": {"years": {"values": [{"id": 2015}, {"id": 2009}, {"id": 2018}, {"id": 2016}, {"id": 2000}, {"id": 2005}, {"id": 2010}, {"id": 2006}, {"id": 2004}, {"id": 2007}, {"id": 2011}, {"id": 2014}, {"id": 2001}, {"id": 2012}, {"id": 2003}, {"id": 2008}, {"id": 2017}, {"id": 2022}, {"id": 2013}, {"id": 2002}, {"id": 2021}, {"id": 2020}, {"id": 2019}, {"id": 1999}]}, "entities": {"values": [{"id": 15, "name": "Afghanistan", "code": "AFG"}, {"id": 16, "name": "Albania", "code": "ALB"}, {"id": 19, "name": "Angola", "code": "AGO"}, {"id": 22, "name": "Armenia", "code": "ARM"}, {"id": 25, "name": "Azerbaijan", "code": "AZE"}, {"id": 28, "name": "Bangladesh", "code": "BGD"}, {"id": 32, "name": "Benin", "code": "BEN"}, {"id": 34, "name": "Bolivia", "code": "BOL"}, {"id": 40, "name": "Burkina Faso", "code": "BFA"}, {"id": 41, "name": "Burundi", "code": "BDI"}, {"id": 42, "name": "Cambodia", "code": "KHM"}, {"id": 43, "name": "Cameroon", "code": "CMR"}, {"id": 173, "name": "Chad", "code": "TCD"}, {"id": 170, "name": "Colombia", "code": "COL"}, {"id": 169, "name": "Comoros", "code": "COM"}, {"id": 168, "name": "Congo", "code": "COG"}, {"id": 143, "name": "Cote d'Ivoire", "code": "CIV"}, {"id": 167, "name": "Democratic Republic of Congo", "code": "COD"}, {"id": 160, "name": "Dominican Republic", "code": "DOM"}, {"id": 225, "name": "East Timor", "code": "TLS"}, {"id": 65, "name": "Egypt", "code": "EGY"}, {"id": 157, "name": "Eritrea", "code": "ERI"}, {"id": 78, "name": "Eswatini", "code": "SWZ"}, {"id": 158, "name": "Ethiopia", "code": "ETH"}, {"id": 153, "name": "Gabon", "code": "GAB"}, {"id": 151, "name": "Gambia", "code": "GMB"}, {"id": 150, "name": "Ghana", "code": "GHA"}, {"id": 148, "name": "Guatemala", "code": "GTM"}, {"id": 147, "name": "Guinea", "code": "GIN"}, {"id": 146, "name": "Guyana", "code": "GUY"}, {"id": 145, "name": "Haiti", "code": "HTI"}, {"id": 139, "name": "Honduras", "code": "HND"}, {"id": 137, "name": "India", "code": "IND"}, {"id": 136, "name": "Indonesia", "code": "IDN"}, {"id": 130, "name": "Jordan", "code": "JOR"}, {"id": 129, "name": "Kenya", "code": "KEN"}, {"id": 126, "name": "Kyrgyzstan", "code": "KGZ"}, {"id": 123, "name": "Lesotho", "code": "LSO"}, {"id": 121, "name": "Liberia", "code": "LBR"}, {"id": 118, "name": "Madagascar", "code": "MDG"}, {"id": 117, "name": "Malawi", "code": "MWI"}, {"id": 211, "name": "Maldives", "code": "MDV"}, {"id": 115, "name": "Mali", "code": "MLI"}, {"id": 114, "name": "Mauritania", "code": "MRT"}, {"id": 111, "name": "Moldova", "code": "MDA"}, {"id": 110, "name": "Morocco", "code": "MAR"}, {"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": 105, "name": "Nicaragua", "code": "NIC"}, {"id": 104, "name": "Niger", "code": "NER"}, {"id": 103, "name": "Nigeria", "code": "NGA"}, {"id": 101, "name": "Pakistan", "code": "PAK"}, {"id": 99, "name": "Papua New Guinea", "code": "PNG"}, {"id": 97, "name": "Peru", "code": "PER"}, {"id": 96, "name": "Philippines", "code": "PHL"}, {"id": 91, "name": "Rwanda", "code": "RWA"}, {"id": 232, "name": "Sao Tome and Principe", "code": "STP"}, {"id": 89, "name": "Senegal", "code": "SEN"}, {"id": 87, "name": "Sierra Leone", "code": "SLE"}, {"id": 81, "name": "South Africa", "code": "ZAF"}, {"id": 76, "name": "Tajikistan", "code": "TJK"}, {"id": 64, "name": "Tanzania", "code": "TZA"}, {"id": 74, "name": "Togo", "code": "TGO"}, {"id": 69, "name": "Turkmenistan", "code": "TKM"}, {"id": 68, "name": "Uganda", "code": "UGA"}, {"id": 67, "name": "Ukraine", "code": "UKR"}, {"id": 61, "name": "Yemen", "code": "YEM"}, {"id": 60, "name": "Zambia", "code": "ZMB"}, {"id": 80, "name": "Zimbabwe", "code": "ZWE"}]}}, "origins": [{"id": 7157, "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 Gender Statistics", "citationFull": "World Bank Gender Statistics, World Bank, 2025. Licence: CC BY 4.0.", "attributionShort": "World Bank", "urlMain": "https://genderdata.worldbank.org/en/home", "urlDownload": "https://databank.worldbank.org/data/download/Gender_Stats_CSV.zip", "dateAccessed": "2025-09-08", "datePublished": "2025", "license": {"url": "https://datacatalog.worldbank.org/public-licenses#cc-by", "name": "CC BY 4.0"}}]}