{"id": 1256621, "name": "Stunting prevalence among children under 5 years of age (% height-for-age <-2 SD), survey-based estimates - Sex: both sexes", "unit": "%", "createdAt": "2026-06-04T07:17:40.000Z", "updatedAt": "2026-06-04T07:17:40.000Z", "coverage": "", "timespan": "1983-2024", "datasetId": 7975, "columnOrder": 0, "shortName": "stunting_prevalence_among_children_under_5_years_of_age__pct_height_for_age__lt__2_sd__survey_based_estimates__sex_both_sexes", "catalogPath": "grapher/who/2026-05-22/gho/stunting_prevalence_among_children_under_5_years_of_age__pct_height_for_age__lt__2_sd__survey_based_estimates#stunting_prevalence_among_children_under_5_years_of_age__pct_height_for_age__lt__2_sd__survey_based_estimates__sex_both_sexes", "dimensions": {"years": {"values": [{"id": 1983}, {"id": 1985}, {"id": 1986}, {"id": 1987}, {"id": 1988}, {"id": 1989}, {"id": 1990}, {"id": 1991}, {"id": 1992}, {"id": 1993}, {"id": 1994}, {"id": 1995}, {"id": 1996}, {"id": 1997}, {"id": 1998}, {"id": 1999}, {"id": 2000}, {"id": 2001}, {"id": 2002}, {"id": 2003}, {"id": 2004}, {"id": 2005}, {"id": 2006}, {"id": 2007}, {"id": 2008}, {"id": 2009}, {"id": 2010}, {"id": 2011}, {"id": 2012}, {"id": 2013}, {"id": 2014}, {"id": 2015}, {"id": 2016}, {"id": 2017}, {"id": 2018}, {"id": 2019}, {"id": 2020}, {"id": 2021}, {"id": 2022}, {"id": 2023}, {"id": 2024}]}, "entities": {"values": [{"id": 99, "name": "Papua New Guinea", "code": "PNG"}, {"id": 45, "name": "Cape Verde", "code": "CPV"}, {"id": 204, "name": "Kiribati", "code": "KIR"}, {"id": 213, "name": "Mauritius", "code": "MUS"}, {"id": 104, "name": "Niger", "code": "NER"}, {"id": 28, "name": "Bangladesh", "code": "BGD"}, {"id": 172, "name": "Chile", "code": "CHL"}, {"id": 170, "name": "Colombia", "code": "COL"}, {"id": 143, "name": "Cote d'Ivoire", "code": "CIV"}, {"id": 160, "name": "Dominican Republic", "code": "DOM"}, {"id": 201, "name": "Ecuador", "code": "ECU"}, {"id": 101, "name": "Pakistan", "code": "PAK"}, {"id": 232, "name": "Sao Tome and Principe", "code": "STP"}, {"id": 89, "name": "Senegal", "code": "SEN"}, {"id": 235, "name": "Tonga", "code": "TON"}, {"id": 17, "name": "Algeria", "code": "DZA"}, {"id": 33, "name": "Bhutan", "code": "BTN"}, {"id": 41, "name": "Burundi", "code": "BDI"}, {"id": 171, "name": "China", "code": "CHN"}, {"id": 168, "name": "Congo", "code": "COG"}, {"id": 148, "name": "Guatemala", "code": "GTM"}, {"id": 139, "name": "Honduras", "code": "HND"}, {"id": 129, "name": "Kenya", "code": "KEN"}, {"id": 115, "name": "Mali", "code": "MLI"}, {"id": 110, "name": "Morocco", "code": "MAR"}, {"id": 96, "name": "Philippines", "code": "PHL"}, {"id": 141, "name": "Sri Lanka", "code": "LKA"}, {"id": 75, "name": "Thailand", "code": "THA"}, {"id": 73, "name": "Trinidad and Tobago", "code": "TTO"}, {"id": 63, "name": "Uruguay", "code": "URY"}, {"id": 238, "name": "Venezuela", "code": "VEN"}, {"id": 65, "name": "Egypt", "code": "EGY"}, {"id": 259, "name": "El Salvador", "code": "SLV"}, {"id": 150, "name": "Ghana", "code": "GHA"}, {"id": 114, "name": "Mauritania", "code": "MRT"}, {"id": 113, "name": "Mexico", "code": "MEX"}, {"id": 233, "name": "Seychelles", "code": "SYC"}, {"id": 74, "name": "Togo", "code": "TGO"}, {"id": 71, "name": "Tunisia", "code": "TUN"}, {"id": 68, "name": "Uganda", "code": "UGA"}, {"id": 84, "name": "Vietnam", "code": "VNM"}, {"id": 80, "name": "Zimbabwe", "code": "ZWE"}, {"id": 27, "name": "Bahrain", "code": "BHR"}, {"id": 34, "name": "Bolivia", "code": "BOL"}, {"id": 37, "name": "Brazil", "code": "BRA"}, {"id": 154, "name": "Djibouti", "code": "DJI"}, {"id": 137, "name": "India", "code": "IND"}, {"id": 132, "name": "Jamaica", "code": "JAM"}, {"id": 87, "name": "Sierra Leone", "code": "SLE"}, {"id": 195, "name": "Solomon Islands", "code": "SLB"}, {"id": 145, "name": "Haiti", "code": "HTI"}, {"id": 14, "name": "Japan", "code": "JPN"}, {"id": 130, "name": "Jordan", "code": "JOR"}, {"id": 103, "name": "Nigeria", "code": "NGA"}, {"id": 98, "name": "Paraguay", "code": "PRY"}, {"id": 43, "name": "Cameroon", "code": "CMR"}, {"id": 162, "name": "Czechia", "code": "CZE"}, {"id": 134, "name": "Iraq", "code": "IRQ"}, {"id": 142, "name": "Myanmar", "code": "MMR"}, {"id": 217, "name": "Oman", "code": "OMN"}, {"id": 97, "name": "Peru", "code": "PER"}, {"id": 92, "name": "Romania", "code": "ROU"}, {"id": 64, "name": "Tanzania", "code": "TZA"}, {"id": 13, "name": "United States", "code": "USA"}, {"id": 61, "name": "Yemen", "code": "YEM"}, {"id": 169, "name": "Comoros", "code": "COM"}, {"id": 158, "name": "Ethiopia", "code": "ETH"}, {"id": 123, "name": "Lesotho", "code": "LSO"}, {"id": 118, "name": "Madagascar", "code": "MDG"}, {"id": 117, "name": "Malawi", "code": "MWI"}, {"id": 112, "name": "Mongolia", "code": "MNG"}, {"id": 108, "name": "Namibia", "code": "NAM"}, {"id": 91, "name": "Rwanda", "code": "RWA"}, {"id": 60, "name": "Zambia", "code": "ZMB"}, {"id": 40, "name": "Burkina Faso", "code": "BFA"}, {"id": 157, "name": "Eritrea", "code": "ERI"}, {"id": 202, "name": "Fiji", "code": "FJI"}, {"id": 146, "name": "Guyana", "code": "GUY"}, {"id": 125, "name": "Laos", "code": "LAO"}, {"id": 105, "name": "Nicaragua", "code": "NIC"}, {"id": 77, "name": "Syria", "code": "SYR"}, {"id": 70, "name": "Turkey", "code": "TUR"}, {"id": 21, "name": "Argentina", "code": "ARG"}, {"id": 174, "name": "Central African Republic", "code": "CAF"}, {"id": 147, "name": "Guinea", "code": "GIN"}, {"id": 211, "name": "Maldives", "code": "MDV"}, {"id": 90, "name": "Saudi Arabia", "code": "SAU"}, {"id": 81, "name": "South Africa", "code": "ZAF"}, {"id": 23, "name": "Australia", "code": "AUS"}, {"id": 167, "name": "Democratic Republic of Congo", "code": "COD"}, {"id": 135, "name": "Iran", "code": "IRN"}, {"id": 131, "name": "Kazakhstan", "code": "KAZ"}, {"id": 120, "name": "Libya", "code": "LBY"}, {"id": 109, "name": "Mozambique", "code": "MOZ"}, {"id": 107, "name": "Nepal", "code": "NPL"}, {"id": 226, "name": "Qatar", "code": "QAT"}, {"id": 19, "name": "Angola", "code": "AGO"}, {"id": 25, "name": "Azerbaijan", "code": "AZE"}, {"id": 32, "name": "Benin", "code": "BEN"}, {"id": 36, "name": "Botswana", "code": "BWA"}, {"id": 42, "name": "Cambodia", "code": "KHM"}, {"id": 166, "name": "Costa Rica", "code": "CRI"}, {"id": 151, "name": "Gambia", "code": "GMB"}, {"id": 136, "name": "Indonesia", "code": "IDN"}, {"id": 208, "name": "Kuwait", "code": "KWT"}, {"id": 5, "name": "Netherlands", "code": "NLD"}, {"id": 140, "name": "Palestine", "code": "PSE"}, {"id": 62, "name": "Uzbekistan", "code": "UZB"}, {"id": 221, "name": "Vanuatu", "code": "VUT"}, {"id": 15, "name": "Afghanistan", "code": "AFG"}, {"id": 173, "name": "Chad", "code": "TCD"}, {"id": 159, "name": "Equatorial Guinea", "code": "GNQ"}, {"id": 126, "name": "Kyrgyzstan", "code": "KGZ"}, {"id": 100, "name": "Panama", "code": "PAN"}, {"id": 22, "name": "Armenia", "code": "ARM"}, {"id": 128, "name": "North Korea", "code": "PRK"}, {"id": 152, "name": "Georgia", "code": "GEO"}, {"id": 116, "name": "Malaysia", "code": "MYS"}, {"id": 66, "name": "North Macedonia", "code": "MKD"}, {"id": 239, "name": "Samoa", "code": "WSM"}, {"id": 82, "name": "Somalia", "code": "SOM"}, {"id": 76, "name": "Tajikistan", "code": "TJK"}, {"id": 35, "name": "Bosnia and Herzegovina", "code": "BIH"}, {"id": 164, "name": "Cuba", "code": "CUB"}, {"id": 78, "name": "Eswatini", "code": "SWZ"}, {"id": 153, "name": "Gabon", "code": "GAB"}, {"id": 94, "name": "Guinea-Bissau", "code": "GNB"}, {"id": 121, "name": "Liberia", "code": "LBR"}, {"id": 86, "name": "Singapore", "code": "SGP"}, {"id": 234, "name": "Suriname", "code": "SUR"}, {"id": 69, "name": "Turkmenistan", "code": "TKM"}, {"id": 67, "name": "Ukraine", "code": "UKR"}, {"id": 225, "name": "East Timor", "code": "TLS"}, {"id": 149, "name": "Greece", "code": "GRC"}, {"id": 127, "name": "South Korea", "code": "KOR"}, {"id": 39, "name": "Bulgaria", "code": "BGR"}, {"id": 6, "name": "Germany", "code": "DEU"}, {"id": 124, "name": "Lebanon", "code": "LBN"}, {"id": 16, "name": "Albania", "code": "ALB"}, {"id": 30, "name": "Belarus", "code": "BLR"}, {"id": 111, "name": "Moldova", "code": "MDA"}, {"id": 215, "name": "Montenegro", "code": "MNE"}, {"id": 88, "name": "Serbia", "code": "SRB"}, {"id": 31, "name": "Belize", "code": "BLZ"}, {"id": 258, "name": "South Sudan", "code": "SSD"}, {"id": 79, "name": "Sudan", "code": "SDN"}, {"id": 218, "name": "Nauru", "code": "NRU"}, {"id": 237, "name": "Tuvalu", "code": "TUV"}, {"id": 1, "name": "United Kingdom", "code": "GBR"}, {"id": 38, "name": "Brunei", "code": "BRN"}, {"id": 11, "name": "Poland", "code": "POL"}, {"id": 2, "name": "Ireland", "code": "IRL"}, {"id": 29, "name": "Barbados", "code": "BRB"}, {"id": 229, "name": "Saint Lucia", "code": "LCA"}, {"id": 155, "name": "Finland", "code": "FIN"}, {"id": 4, "name": "Belgium", "code": "BEL"}, {"id": 156, "name": "Estonia", "code": "EST"}, {"id": 95, "name": "Portugal", "code": "PRT"}, {"id": 223, "name": "Marshall Islands", "code": "MHL"}, {"id": 236, "name": "Turks and Caicos Islands", "code": "TCA"}, {"id": 122, "name": "Latvia", "code": "LVA"}, {"id": 119, "name": "Lithuania", "code": "LTU"}, {"id": 212, "name": "Malta", "code": "MLT"}]}}, "descriptionFromProducer": "#### Rationale\nChild growth is an internationally accepted outcome reflecting child nutritional status. Child stunting refers to a child who is too short for his or her age and is the result of chronic or recurrent malnutrition. Stunting is a contributing risk factor to child mortality and is also a marker of inequalities in human development. Stunted children fail to reach their physical and cognitive potential. Child stunting is one of the World Health Assembly nutrition target indicators. Child stunting is one of the indicators under Sustainable Development Goal (SDG) indicators target 2.2\n\n#### Definition\nPrevalence of stunting (height-for-age <-2 standard deviation from the median of the World Health Organization (WHO) Child Growth Standards) among children under 5 years of age\n\n#### Method of measurement\n**Methods and Guidance:**\n\nWHO and UNICEF provide recommendations for data collection, analysis and reporting on anthropometric indicators in children under 5 years old. (Recommendations for data collection, analysis and reporting on anthropometric indicators in children under 5 years old. Geneva: World Health Organization and the United Nations Children\u2019s Fund (UNICEF), 2019. Licence: CC BY-NC-SA 3.0 IGO. )\n\n**Analysis Tool**\n\nTo facilitate re-running of nutritional survey data based on standardized approach, WHO has developed an online tool to analyse child anthropometric data. The WHO Anthro Survey Analyzer aims to promote best practices on data collection, analyses and reporting of anthropometric indicators. It offers analysis for four indicators: length/height-for-age, weight-for-age, weight-for-length, weight-for-height and body mass index-for-age. (WHO Anthro Survey Analyser and other tools)\n\n**Global Reporting**\n\nThe modelled estimates are the official source used for global reporting on this indicator. (Metadata: SDG 2.2.1)\n\n#### Method of estimation\n**Data collection method**\n\nUNICEF and WHO employ their existing networks to obtain data. WHO relies on the organization\u2019s structure and an expanding network developed following the creation of the WHO Global Database on Child Growth and Malnutrition. For UNICEF, the cadre of dedicated data and monitoring specialists working at national, regional and international levels in 190 countries routinely provides technical support to produce child malnutrition estimates through surveys and administrative systems and analyses for improved programme planning. The World Bank Group provides estimates available through the Living Standard Measurement Surveys (LSMS).\n\n**Method of computation**\n\nNational estimates from primary sources (e.g., from household surveys) used to generate the JME global estimates are based on standardized methodology using the WHO Child Growth Standards as described in \u201cThe UNICEF-WHO-World Bank Joint Child Malnutrition Estimates (JME) standard methodology\u201d (The UNICEF-WHO-World Bank Joint Child Malnutrition Estimates (JME) standard methodology New York: the United Nations Children\u2019s Fund (UNICEF), the World Health Organization and the World Bank, 2024. Licence: CC BY-NC-SA 3.0 IGO. )and WHO Anthro Survey Analyser.\n\nThe JME global estimates are generated using smoothing techniques and covariates applied to quality-assured national data to derive trends and up-to-date estimates. Worldwide and regional estimates are derived as the respective country averages weighted by the countries\u2019 under-five population estimates (UNPD-WPP latest available edition) using annual JME global estimates for 205 countries. (The UNICEF-WHO-World Bank Joint Child Malnutrition Estimates (JME) standard methodology New York: the United Nations Children\u2019s Fund (UNICEF), the World Health Organization and the World Bank, 2024. Licence: CC BY-NC-SA 3.0 IGO. ) However, estimates are only presented in the cases where a country has input data.\n\nIn line with WHO\u2019s data principle to use transparent models and methods, all codes used to generate estimates for the latest round and prior rounds are openly available on WHO\u2019s GitHub repository. (UNICEF-WHO-World Bank Joint Child Malnutrition Estimates- Stunting and Overweight Global Health Estimates. )", "type": "float", "datasetName": "Global Health Observatory - World Health Organization", "updatePeriodDays": 365, "datasetVersion": "2026-05-22", "nonRedistributable": false, "display": {"unit": "%", "numDecimalPlaces": 1}, "schemaVersion": 2, "processingLevel": "minor", "presentation": {"attributionShort": "WHO", "topicTagsLinks": ["Global Health"]}, "origins": [{"id": 15332, "title": "Global Health Observatory", "description": "The GHO data repository is WHO's gateway to health-related statistics for its 194 Member States. It provides access to over 1000 indicators on priority health topics including mortality and burden of diseases, the Millennium Development Goals (child nutrition, child health, maternal and reproductive health, immunization, HIV/AIDS, tuberculosis, malaria, neglected diseases, water and sanitation), non communicable diseases and risk factors, epidemic-prone diseases, health systems, environmental health, violence and injuries, equity among others.", "producer": "World Health Organization", "citationFull": "World Health Organization. 2026. Global Health Observatory data repository. http://www.who.int/gho/en/.", "attribution": "World Health Organization - Global Health Observatory (2026)", "attributionShort": "WHO", "urlMain": "https://www.who.int/data/gho", "dateAccessed": "2026-05-22", "datePublished": "2026-05-28", "license": {"url": "https://www.who.int/about/policies/publishing/copyright", "name": "CC BY-NC-SA 4.0"}}]}