{"id": 1008654, "name": "Community health workers (per 1,000 people)", "unit": "per 1,000 people", "createdAt": "2025-01-29T08:46:54.000Z", "updatedAt": "2025-08-20T18:34:18.000Z", "coverage": "", "timespan": "1990-2016", "datasetId": 6912, "columnOrder": 0, "shortName": "sh_med_cmhw_p3", "catalogPath": "grapher/worldbank_wdi/2025-01-24/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", "dataChecksum": "14563577851569176499", "metadataChecksum": "-6260637375587774364", "datasetName": "World Development Indicators", "updatePeriodDays": 365, "datasetVersion": "2025-01-24", "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": null}, {"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": null}, {"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": null}, {"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": 6198, "title": "World Development Indicators", "description": "The World Development Indicators (WDI) is the primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.", "producer": "World Health Organization and OECD, via World Bank", "citationFull": "World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data. Indicator SH.MED.CMHW.P3 (https://data.worldbank.org/indicator/SH.MED.CMHW.P3). World Development Indicators - World Bank (2025). Accessed on 2025-01-24.", "urlMain": "https://data.worldbank.org/indicator/SH.MED.CMHW.P3", "urlDownload": "https://datacatalogfiles.worldbank.org/ddh-published/0037712/DR0045575/WDI_CSV_2024_12_16.zip?versionId=2025-01-15T18:08:41.7545645Z", "dateAccessed": "2025-01-24", "datePublished": "2025-01-15", "license": {"url": "https://datacatalog.worldbank.org/search/dataset/0037712/World-Development-Indicators", "name": "CC BY 4.0"}}]}