{"id": 930933, "name": "Women who own land alone (% of women age 15-49)", "unit": "%", "createdAt": "2024-06-11T17:33:46.000Z", "updatedAt": "2025-08-21T10:14:36.000Z", "coverage": "", "timespan": "2010-2022", "datasetId": 6554, "shortUnit": "%", "columnOrder": 0, "shortName": "sg_own_ldal_fe_zs", "catalogPath": "grapher/wb/2024-06-10/gender_statistics/gender_statistics#sg_own_ldal_fe_zs", "descriptionFromProducer": "**Long definition from World Bank:** Women who own land alone (% of women age 15-49) is the percentage of women age 15-49 who only solely own a land which is legally registered with their name or cannot be sold without their signature.\n\n**Source from World Bank:** Demographic and Health Surveys (DHS)\n\n**Statistical concept and methodology from World Bank:** Women who own land alone is the number of women age 15-49 who say the only type of land they own is the one they own alone or don't share ownership with anyone, expressed as percentage of women age 15-49 who have been interviewed and It\u2019s derived by dividing the number of women age 15-49 who responded they alone own a land, which legally registered with their name or can\u2019t be sold without their signature, by total number of women age 15-49 who have been interviewed. \u2018Ownership\u2019 implies that the land is legally registered in the woman\u2019s name or, since official property records do not always exist or are not maintained, the land is recognized as hers and cannot be sold without her signature or equivalent. \u2018land\u2019 includes all agricultural or non-agricultural land. Non-agricultural land refers to rural land that is not used for growing crops, and most land in urban areas.\n\n**License type from World Bank:** CC BY-4.0\n\n**Development relevance from World Bank:** Ownership of assets, particularly high-value assets, has many beneficial effects for households, including protection against financial ruin. For women in particular, asset ownership is a source of economic empowerment and provides protection in the case of marital dissolution or abandonment. There is increasing evidence that ownership of property by women has positive consequences for women\u2019s empowerment, nutritional and health outcomes, and children\u2019s schooling.\n\n**World Bank variable id:** SG.OWN.LDAL.FE.ZS", "type": "float", "dataChecksum": "10729972482125597023", "metadataChecksum": "-7840182785101835069", "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": 2018}, {"id": 2010}, {"id": 2016}, {"id": 2012}, {"id": 2017}, {"id": 2014}, {"id": 2022}, {"id": 2013}, {"id": 2011}, {"id": 2021}, {"id": 2020}, {"id": 2019}]}, "entities": {"values": [{"id": 15, "name": "Afghanistan", "code": "AFG"}, {"id": 16, "name": "Albania", "code": "ALB"}, {"id": 22, "name": "Armenia", "code": "ARM"}, {"id": 32, "name": "Benin", "code": "BEN"}, {"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": 167, "name": "Democratic Republic of Congo", "code": "COD"}, {"id": 168, "name": "Congo", "code": "COG"}, {"id": 143, "name": "Cote d'Ivoire", "code": "CIV"}, {"id": 160, "name": "Dominican Republic", "code": "DOM"}, {"id": 65, "name": "Egypt", "code": "EGY"}, {"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": 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": 115, "name": "Mali", "code": "MLI"}, {"id": 114, "name": "Mauritania", "code": "MRT"}, {"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": 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": 96, "name": "Philippines", "code": "PHL"}, {"id": 91, "name": "Rwanda", "code": "RWA"}, {"id": 89, "name": "Senegal", "code": "SEN"}, {"id": 87, "name": "Sierra Leone", "code": "SLE"}, {"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": 70, "name": "Turkey", "code": "TUR"}, {"id": 68, "name": "Uganda", "code": "UGA"}, {"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"}}]}