{"id": 1105052, "name": "Share of women involved in major household purchases", "unit": "%", "createdAt": "2025-09-13T20:18:21.000Z", "updatedAt": "2025-09-16T20:22:41.000Z", "coverage": "", "timespan": "1999-2022", "datasetId": 7209, "shortUnit": "%", "columnOrder": 0, "shortName": "sg_dmk_prch_fn_zs", "catalogPath": "grapher/wb/2025-09-08/gender_statistics/gender_statistics#sg_dmk_prch_fn_zs", "descriptionShort": "The share of currently married women aged 15-49 who say that they alone or jointly have a say in major household purchase decisions.", "descriptionFromProducer": "**Definition:** Women participating in making major household purchase decisions is Percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in making major household purchases", "type": "float", "dataChecksum": "15410086676260231332", "metadataChecksum": "-4255576481926916491", "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 involved in making major household purchases.", "Women are counted if they decide alone or together with their spouse.", "Participation in spending decisions reflects women\u2019s influence within the household.", "Greater involvement suggests stronger bargaining power and autonomy.", "Low involvement highlights gender gaps in family decision-making."], "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"}}]}