{"id":1204734,"name":"Agriculture, forestry, and fishing, value added per worker (constant 2015 US$)","unit":"","createdAt":"2026-03-01T08:23:54.000Z","updatedAt":"2026-05-12T18:49:49.000Z","coverage":"","timespan":"1991-2024","datasetId":7396,"columnOrder":0,"shortName":"nv_agr_empl_kd","catalogPath":"grapher/worldbank_wdi/2026-02-27/wdi/wdi#nv_agr_empl_kd","descriptionFromProducer":"Agriculture, forestry, and fishing corresponds to ISIC (Rev. 4) divisions 01-03 and includes the exploitation of vegetal and animal natural resources, comprising the activities of growing of crops, raising and breeding of animals, harvesting of timber and other plants, animals or animal products from a farm or their natural habitats.Value added is the contribution to the economy by a producer or an industry or an institutional sector, which is estimated by the total value of output produced and deducting the total value of intermediate consumption of goods and services used to produce that output. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment is 2015. This indicator is expressed in United States dollars.\n\n### Aggregation method:\nWeighted average\n\n### Statistical concept and methodology:\nMethodology: National accounts are compiled in accordance with international standards: System of National Accounts, 2008 or 1993 versions. Specific information on how countries compile their national accounts can be found on the IMF website: https://dsbb.imf.org/ Value added per worker is calculated by dividing value added of a sector by the number employed in the sector.\nStatistical concept(s): The conceptual elements of the SNA (System of National Accounts) measure what takes place in the economy, between which agents, and for what purpose. At the heart of the SNA is the production of goods and services. These may be used for consumption in the period to which the accounts relate or may be accumulated for use in a later period. In simple terms, the amount of value added generated by production represents GDP. The income corresponding to GDP is distributed to the various agents or groups of agents as income and it is the process of distributing and redistributing income that allows one agent to consume the goods and services produced by another agent or to acquire goods and services for later consumption. The way in which the SNA captures this pattern of economic flows is to identify the activities concerned by recognizing the institutional units in the economy and by specifying the structure of accounts capturing the transactions relevant to one stage or another of the process by which goods and services are produced and ultimately consumed.\n\n### Development relevance:\nThis indicator is related to the national accounts, which are critical for understanding and managing a country's economy. They provide a framework for the analysis of economic performance. National accounts are the basis for estimating the Gross Domestic Product (GDP) and Gross National Income (GNI), which are the most widely used indicator of economic performance. They are essential for government policymakers, providing the data needed to design and assess fiscal and monetary policies; and are also used by businesses and investors to assess the economic climate and make investment decisions. NAS enable comparison between economies, which is crucial for international trade, investment decisions, and economic competitiveness. More specifically, this indicator is related to the production approach (or output approach) used to calculate GDP, which gives detailed breakdown of the economy by sectors, providing valuable insights into the structure of an economy and its key drivers of growth. It helps in identifying which sectors are expanding or contracting, information that is crucial for policymakers when designing economic strategies and interventions. Additionally, by focusing on the production side, it reflects the supply conditions of an economy, which can be particularly important when analyzing issues like productivity and competitiveness.\n\n### Limitations and exceptions:\nFor comparability of individual sectors labor productivity is estimated according to national accounts conventions. However, there are still significant limitations on the availability of reliable data. Information on consistent series of output is not easily available, especially in low- and middle-income countries, because the definition, coverage, and methodology are not always consistent across countries. For more details, see Agriculture, forestry, and fishing, value added (constant 2015 US$) [NV.AGR.TOTL.KD], Industry (including construction), value added (constant 2015 US$) [NV.IND.TOTL.KD], and Services, value added (constant 2015 US$) [NV.SRV.TOTL.KD].","type":"float","dataChecksum":"11572357076918575530","metadataChecksum":"-3449863296611919778","datasetName":"World Development Indicators","updatePeriodDays":365,"datasetVersion":"2026-02-27","nonRedistributable":false,"display":{},"schemaVersion":2,"presentation":{},"dimensions":{"years":{"values":[{"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":1995},{"id":1996},{"id":1997},{"id":1998},{"id":1999},{"id":2000},{"id":2001},{"id":2024},{"id":1991},{"id":1992},{"id":1993},{"id":1994}]},"entities":{"values":[{"id":15,"name":"Afghanistan","code":"AFG"},{"id":16,"name":"Albania","code":"ALB"},{"id":17,"name":"Algeria","code":"DZA"},{"id":19,"name":"Angola","code":"AGO"},{"id":21,"name":"Argentina","code":"ARG"},{"id":22,"name":"Armenia","code":"ARM"},{"id":23,"name":"Australia","code":"AUS"},{"id":24,"name":"Austria","code":"AUT"},{"id":25,"name":"Azerbaijan","code":"AZE"},{"id":26,"name":"Bahamas","code":"BHS"},{"id":27,"name":"Bahrain","code":"BHR"},{"id":28,"name":"Bangladesh","code":"BGD"},{"id":29,"name":"Barbados","code":"BRB"},{"id":30,"name":"Belarus","code":"BLR"},{"id":4,"name":"Belgium","code":"BEL"},{"id":31,"name":"Belize","code":"BLZ"},{"id":32,"name":"Benin","code":"BEN"},{"id":33,"name":"Bhutan","code":"BTN"},{"id":34,"name":"Bolivia","code":"BOL"},{"id":35,"name":"Bosnia and Herzegovina","code":"BIH"},{"id":36,"name":"Botswana","code":"BWA"},{"id":37,"name":"Brazil","code":"BRA"},{"id":38,"name":"Brunei","code":"BRN"},{"id":39,"name":"Bulgaria","code":"BGR"},{"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":44,"name":"Canada","code":"CAN"},{"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":170,"name":"Colombia","code":"COL"},{"id":169,"name":"Comoros","code":"COM"},{"id":168,"name":"Congo","code":"COG"},{"id":166,"name":"Costa Rica","code":"CRI"},{"id":143,"name":"Cote d'Ivoire","code":"CIV"},{"id":165,"name":"Croatia","code":"HRV"},{"id":164,"name":"Cuba","code":"CUB"},{"id":163,"name":"Cyprus","code":"CYP"},{"id":162,"name":"Czechia","code":"CZE"},{"id":167,"name":"Democratic Republic of Congo","code":"COD"},{"id":161,"name":"Denmark","code":"DNK"},{"id":154,"name":"Djibouti","code":"DJI"},{"id":160,"name":"Dominican Republic","code":"DOM"},{"id":349172,"name":"East Asia and Pacific (WB)","code":"WB_EAP"},{"id":225,"name":"East Timor","code":"TLS"},{"id":201,"name":"Ecuador","code":"ECU"},{"id":65,"name":"Egypt","code":"EGY"},{"id":259,"name":"El Salvador","code":"SLV"},{"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":349171,"name":"Europe and Central Asia (WB)","code":"WB_ECA"},{"id":115117,"name":"European Union (27)","code":"OWID_EU27"},{"id":202,"name":"Fiji","code":"FJI"},{"id":155,"name":"Finland","code":"FIN"},{"id":3,"name":"France","code":"FRA"},{"id":203,"name":"French Polynesia","code":"PYF"},{"id":153,"name":"Gabon","code":"GAB"},{"id":151,"name":"Gambia","code":"GMB"},{"id":152,"name":"Georgia","code":"GEO"},{"id":6,"name":"Germany","code":"DEU"},{"id":150,"name":"Ghana","code":"GHA"},{"id":149,"name":"Greece","code":"GRC"},{"id":148,"name":"Guatemala","code":"GTM"},{"id":147,"name":"Guinea","code":"GIN"},{"id":94,"name":"Guinea-Bissau","code":"GNB"},{"id":146,"name":"Guyana","code":"GUY"},{"id":145,"name":"Haiti","code":"HTI"},{"id":457,"name":"High-income countries","code":"OWID_HIC"},{"id":139,"name":"Honduras","code":"HND"},{"id":144,"name":"Hong Kong","code":"HKG"},{"id":138,"name":"Hungary","code":"HUN"},{"id":207,"name":"Iceland","code":"ISL"},{"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":2,"name":"Ireland","code":"IRL"},{"id":133,"name":"Israel","code":"ISR"},{"id":8,"name":"Italy","code":"ITA"},{"id":132,"name":"Jamaica","code":"JAM"},{"id":14,"name":"Japan","code":"JPN"},{"id":130,"name":"Jordan","code":"JOR"},{"id":131,"name":"Kazakhstan","code":"KAZ"},{"id":129,"name":"Kenya","code":"KEN"},{"id":208,"name":"Kuwait","code":"KWT"},{"id":126,"name":"Kyrgyzstan","code":"KGZ"},{"id":125,"name":"Laos","code":"LAO"},{"id":349170,"name":"Latin America and Caribbean (WB)","code":"WB_LAC"},{"id":122,"name":"Latvia","code":"LVA"},{"id":124,"name":"Lebanon","code":"LBN"},{"id":123,"name":"Lesotho","code":"LSO"},{"id":121,"name":"Liberia","code":"LBR"},{"id":120,"name":"Libya","code":"LBY"},{"id":119,"name":"Lithuania","code":"LTU"},{"id":461,"name":"Low-income countries","code":"OWID_LIC"},{"id":460,"name":"Lower-middle-income countries","code":"OWID_LMC"},{"id":210,"name":"Luxembourg","code":"LUX"},{"id":118,"name":"Madagascar","code":"MDG"},{"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":212,"name":"Malta","code":"MLT"},{"id":114,"name":"Mauritania","code":"MRT"},{"id":213,"name":"Mauritius","code":"MUS"},{"id":113,"name":"Mexico","code":"MEX"},{"id":372001,"name":"Middle East, North Africa, Afghanistan and Pakistan (WB)","code":"WB_MENAP"},{"id":111,"name":"Moldova","code":"MDA"},{"id":112,"name":"Mongolia","code":"MNG"},{"id":215,"name":"Montenegro","code":"MNE"},{"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":5,"name":"Netherlands","code":"NLD"},{"id":220,"name":"New Caledonia","code":"NCL"},{"id":106,"name":"New Zealand","code":"NZL"},{"id":105,"name":"Nicaragua","code":"NIC"},{"id":104,"name":"Niger","code":"NER"},{"id":103,"name":"Nigeria","code":"NGA"},{"id":278896,"name":"North America (WB)","code":"WB_NA"},{"id":66,"name":"North Macedonia","code":"MKD"},{"id":102,"name":"Norway","code":"NOR"},{"id":217,"name":"Oman","code":"OMN"},{"id":101,"name":"Pakistan","code":"PAK"},{"id":140,"name":"Palestine","code":"PSE"},{"id":100,"name":"Panama","code":"PAN"},{"id":99,"name":"Papua New Guinea","code":"PNG"},{"id":98,"name":"Paraguay","code":"PRY"},{"id":97,"name":"Peru","code":"PER"},{"id":96,"name":"Philippines","code":"PHL"},{"id":11,"name":"Poland","code":"POL"},{"id":95,"name":"Portugal","code":"PRT"},{"id":93,"name":"Puerto Rico","code":"PRI"},{"id":226,"name":"Qatar","code":"QAT"},{"id":92,"name":"Romania","code":"ROU"},{"id":12,"name":"Russia","code":"RUS"},{"id":91,"name":"Rwanda","code":"RWA"},{"id":229,"name":"Saint Lucia","code":"LCA"},{"id":230,"name":"Saint Vincent and the Grenadines","code":"VCT"},{"id":239,"name":"Samoa","code":"WSM"},{"id":232,"name":"Sao Tome and Principe","code":"STP"},{"id":90,"name":"Saudi Arabia","code":"SAU"},{"id":89,"name":"Senegal","code":"SEN"},{"id":88,"name":"Serbia","code":"SRB"},{"id":87,"name":"Sierra Leone","code":"SLE"},{"id":86,"name":"Singapore","code":"SGP"},{"id":85,"name":"Slovakia","code":"SVK"},{"id":83,"name":"Slovenia","code":"SVN"},{"id":195,"name":"Solomon Islands","code":"SLB"},{"id":81,"name":"South Africa","code":"ZAF"},{"id":277956,"name":"South Asia (WB)","code":"WB_SA"},{"id":127,"name":"South Korea","code":"KOR"},{"id":258,"name":"South Sudan","code":"SSD"},{"id":9,"name":"Spain","code":"ESP"},{"id":141,"name":"Sri Lanka","code":"LKA"},{"id":277950,"name":"Sub-Saharan Africa (WB)","code":"WB_SSA"},{"id":79,"name":"Sudan","code":"SDN"},{"id":234,"name":"Suriname","code":"SUR"},{"id":10,"name":"Sweden","code":"SWE"},{"id":7,"name":"Switzerland","code":"CHE"},{"id":77,"name":"Syria","code":"SYR"},{"id":76,"name":"Tajikistan","code":"TJK"},{"id":64,"name":"Tanzania","code":"TZA"},{"id":75,"name":"Thailand","code":"THA"},{"id":74,"name":"Togo","code":"TGO"},{"id":235,"name":"Tonga","code":"TON"},{"id":73,"name":"Trinidad and Tobago","code":"TTO"},{"id":71,"name":"Tunisia","code":"TUN"},{"id":70,"name":"Turkey","code":"TUR"},{"id":69,"name":"Turkmenistan","code":"TKM"},{"id":68,"name":"Uganda","code":"UGA"},{"id":67,"name":"Ukraine","code":"UKR"},{"id":72,"name":"United Arab Emirates","code":"ARE"},{"id":1,"name":"United Kingdom","code":"GBR"},{"id":13,"name":"United States","code":"USA"},{"id":459,"name":"Upper-middle-income countries","code":"OWID_UMC"},{"id":63,"name":"Uruguay","code":"URY"},{"id":62,"name":"Uzbekistan","code":"UZB"},{"id":221,"name":"Vanuatu","code":"VUT"},{"id":84,"name":"Vietnam","code":"VNM"},{"id":355,"name":"World","code":"OWID_WRL"},{"id":61,"name":"Yemen","code":"YEM"},{"id":60,"name":"Zambia","code":"ZMB"},{"id":80,"name":"Zimbabwe","code":"ZWE"}]}},"origins":[{"id":13233,"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 Bank (World Development Indicators) and ILO (ILOSTAT)","citationFull":"World Development Indicators database, World Bank (WB);\nILOSTAT database, International Labour Organization (ILO). Indicator NV.AGR.EMPL.KD (https://data.worldbank.org/indicator/NV.AGR.EMPL.KD). World Development Indicators - World Bank (2026). Accessed on 2026-02-27.","versionProducer":"125","urlMain":"https://data.worldbank.org/indicator/NV.AGR.EMPL.KD","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"}}]}