{"id": 1205110, "name": "Community health workers (per 1,000 people)", "unit": "per 1,000 people", "createdAt": "2026-03-01T08:24:28.000Z", "updatedAt": "2026-03-01T08:24:28.000Z", "coverage": "", "timespan": "1990-2016", "datasetId": 7396, "columnOrder": 0, "shortName": "sh_med_cmhw_p3", "catalogPath": "grapher/worldbank_wdi/2026-02-27/wdi/wdi#sh_med_cmhw_p3", "descriptionFromProducer": "Community health workers include various types of community health aides, many with country-specific occupational titles such as community health officers, community health-education workers, family health workers, lady health visitors and health extension package workers.\n\n### Limitations and exceptions:\nThe WHO compiles data from household and labor force surveys, censuses, and administrative records. Data comparability is limited by differences in definitions and training of medical personnel varies. In addition, human resources tend to be concentrated in urban areas, so that average densities do not provide a full picture of health personnel available to the entire population.\n\n### Statistical concept and methodology:\nHealth systems - the combined arrangements of institutions and actions whose primary purpose is to promote, restore, or maintain health (World Health Organization, World Health Report 2000) - are increasingly being recognized as key to combating disease and improving the health status of populations. The World Bank's Healthy Development: Strategy for Health, Nutrition, and Population Results emphasizes the need to strengthen health systems, which are weak in many countries, in order to increase the effectiveness of programs aimed at reducing specific diseases and further reduce morbidity and mortality. To evaluate health systems, the World Health Organization (WHO) has recommended that key components - such as financing, service delivery, workforce, governance, and information - be monitored using several key indicators. The data are a subset of the key indicators. Monitoring health systems allows the effectiveness, efficiency, and equity of different health system models to be compared. Health system data also help identify weaknesses and strengths and areas that need investment, such as additional health facilities, better health information systems, or better trained human resources.\n\nData on health worker (physicians, nurses and midwives, and community health workers) density show the availability of medical personnel.", "type": "float", "datasetName": "World Development Indicators", "updatePeriodDays": 365, "datasetVersion": "2026-02-27", "nonRedistributable": false, "display": {"unit": "per 1,000 people"}, "schemaVersion": 2, "presentation": {}, "dimensions": {"years": {"values": [{"id": 1996}, {"id": 2001}, {"id": 2006}, {"id": 2004}, {"id": 2005}, {"id": 2011}, {"id": 2012}, {"id": 2009}, {"id": 2007}, {"id": 2008}, {"id": 2013}, {"id": 2014}, {"id": 2015}, {"id": 2016}, {"id": 1998}, {"id": 1999}, {"id": 2000}, {"id": 2002}, {"id": 2003}, {"id": 2010}, {"id": 1992}, {"id": 1990}, {"id": 1995}, {"id": 1997}, {"id": 1991}, {"id": 1993}, {"id": 1994}]}, "entities": {"values": [{"id": 23, "name": "Australia", "code": "AUS"}, {"id": 28, "name": "Bangladesh", "code": "BGD"}, {"id": 31, "name": "Belize", "code": "BLZ"}, {"id": 33, "name": "Bhutan", "code": "BTN"}, {"id": 34, "name": "Bolivia", "code": "BOL"}, {"id": 36, "name": "Botswana", "code": "BWA"}, {"id": 40, "name": "Burkina Faso", "code": "BFA"}, {"id": 41, "name": "Burundi", "code": "BDI"}, {"id": 42, "name": "Cambodia", "code": "KHM"}, {"id": 45, "name": "Cape Verde", "code": "CPV"}, {"id": 174, "name": "Central African Republic", "code": "CAF"}, {"id": 173, "name": "Chad", "code": "TCD"}, {"id": 172, "name": "Chile", "code": "CHL"}, {"id": 171, "name": "China", "code": "CHN"}, {"id": 349172, "name": "East Asia and Pacific (WB)", "code": "WB_EAP"}, {"id": 225, "name": "East Timor", "code": "TLS"}, {"id": 159, "name": "Equatorial Guinea", "code": "GNQ"}, {"id": 156, "name": "Estonia", "code": "EST"}, {"id": 78, "name": "Eswatini", "code": "SWZ"}, {"id": 158, "name": "Ethiopia", "code": "ETH"}, {"id": 3, "name": "France", "code": "FRA"}, {"id": 151, "name": "Gambia", "code": "GMB"}, {"id": 150, "name": "Ghana", "code": "GHA"}, {"id": 206, "name": "Grenada", "code": "GRD"}, {"id": 147, "name": "Guinea", "code": "GIN"}, {"id": 94, "name": "Guinea-Bissau", "code": "GNB"}, {"id": 146, "name": "Guyana", "code": "GUY"}, {"id": 137, "name": "India", "code": "IND"}, {"id": 136, "name": "Indonesia", "code": "IDN"}, {"id": 135, "name": "Iran", "code": "IRN"}, {"id": 134, "name": "Iraq", "code": "IRQ"}, {"id": 132, "name": "Jamaica", "code": "JAM"}, {"id": 130, "name": "Jordan", "code": "JOR"}, {"id": 121, "name": "Liberia", "code": "LBR"}, {"id": 460, "name": "Lower-middle-income countries", "code": "OWID_LMC"}, {"id": 117, "name": "Malawi", "code": "MWI"}, {"id": 116, "name": "Malaysia", "code": "MYS"}, {"id": 211, "name": "Maldives", "code": "MDV"}, {"id": 115, "name": "Mali", "code": "MLI"}, {"id": 114, "name": "Mauritania", "code": "MRT"}, {"id": 213, "name": "Mauritius", "code": "MUS"}, {"id": 222, "name": "Micronesia (country)", "code": "FSM"}, {"id": 112, "name": "Mongolia", "code": "MNG"}, {"id": 109, "name": "Mozambique", "code": "MOZ"}, {"id": 142, "name": "Myanmar", "code": "MMR"}, {"id": 218, "name": "Nauru", "code": "NRU"}, {"id": 107, "name": "Nepal", "code": "NPL"}, {"id": 103, "name": "Nigeria", "code": "NGA"}, {"id": 101, "name": "Pakistan", "code": "PAK"}, {"id": 100, "name": "Panama", "code": "PAN"}, {"id": 99, "name": "Papua New Guinea", "code": "PNG"}, {"id": 91, "name": "Rwanda", "code": "RWA"}, {"id": 227, "name": "Saint Kitts and Nevis", "code": "KNA"}, {"id": 230, "name": "Saint Vincent and the Grenadines", "code": "VCT"}, {"id": 232, "name": "Sao Tome and Principe", "code": "STP"}, {"id": 89, "name": "Senegal", "code": "SEN"}, {"id": 87, "name": "Sierra Leone", "code": "SLE"}, {"id": 86, "name": "Singapore", "code": "SGP"}, {"id": 85, "name": "Slovakia", "code": "SVK"}, {"id": 81, "name": "South Africa", "code": "ZAF"}, {"id": 277956, "name": "South Asia (WB)", "code": "WB_SA"}, {"id": 127, "name": "South Korea", "code": "KOR"}, {"id": 79, "name": "Sudan", "code": "SDN"}, {"id": 75, "name": "Thailand", "code": "THA"}, {"id": 68, "name": "Uganda", "code": "UGA"}, {"id": 221, "name": "Vanuatu", "code": "VUT"}, {"id": 61, "name": "Yemen", "code": "YEM"}, {"id": 60, "name": "Zambia", "code": "ZMB"}]}}, "origins": [{"id": 13609, "title": "World Development Indicators", "description": "The World Development Indicators (WDI) database, published by the World Bank, is a comprehensive collection of global development data, providing key economic, social, and environmental statistics. It includes over 1,500 indicators covering more than 200 countries and territories, with data spanning several decades.WDI serves as a vital resource for policymakers, researchers, businesses, and analysts seeking to understand global trends and make data-driven decisions. The database covers a wide range of topics, including economic growth, education, health, poverty, trade, energy, infrastructure, governance, and environmental sustainability.The indicators are sourced from reputable national and international agencies, ensuring high-quality, consistent, and comparable data. Users can access the database through interactive online tools, API services, and downloadable datasets, facilitating detailed analysis and visualization.WDI is also used for tracking progress on the Sustainable Development Goals (SDGs) and other global development initiatives. By providing accessible and reliable statistics, it helps to inform policy discussions and strategies globally.Whether for academic research, policy planning, or economic analysis, the World Development Indicators database is an essential tool for understanding and addressing global development challenges.", "producer": "World Health Organization (Global Health Workforce Statistics), OECD, and country data, via World Bank", "citationFull": "Global Health Workforce Statistics, World Health Organization (WHO);\nOrganisation for Economic Co-operation and Development (OECD);\nCountry data. Indicator SH.MED.CMHW.P3 (https://data.worldbank.org/indicator/SH.MED.CMHW.P3). World Development Indicators - World Bank (2026). Accessed on 2026-02-27.", "versionProducer": "125", "urlMain": "https://data.worldbank.org/indicator/SH.MED.CMHW.P3", "urlDownload": "https://databankfiles.worldbank.org/public/ddpext_download/WDI_CSV.zip", "dateAccessed": "2026-02-27", "datePublished": "2026-01-28", "license": {"url": "https://datacatalog.worldbank.org/search/dataset/0037712/World-Development-Indicators", "name": "CC BY 4.0"}}]}