{"id":1205277,"name":"Employment in industry (% of total employment) (modeled ILO estimate)","unit":"%","createdAt":"2026-03-01T08:24:41.000Z","updatedAt":"2026-05-12T18:50:29.000Z","coverage":"","timespan":"1991-2025","datasetId":7396,"shortUnit":"%","columnOrder":0,"shortName":"sl_ind_empl_zs","catalogPath":"grapher/worldbank_wdi/2026-02-27/wdi/wdi#sl_ind_empl_zs","descriptionShort":"Share of total employment working in the industry sector.","descriptionFromProducer":"Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The industry sector consists of mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), in accordance with divisions 2-5 (ISIC 2) or categories C-F (ISIC 3) or categories B-F (ISIC 4).\n\n### Aggregation method:\nWeighted average\n\n### Statistical concept and methodology:\nMethodology: The series is part of the \"ILO modeled estimates database,\" including nationally reported observations and imputed data for countries with missing data, primarily to capture regional and global trends with consistent country coverage. Country-reported microdata is based mainly on nationally representative labor force surveys, with other sources (e.g., household surveys and population censuses) considering differences in the data source, the scope of coverage, methodology, and other country-specific factors. Country analysis requires caution where limited nationally reported data are available. A series of models are also applied to impute missing observations and make projections. However, imputed observations are not based on national data, are subject to high uncertainty, and should not be used for country comparisons or rankings. For more information: https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/\n\nStatistical concept(s): The International Labour Organization (ILO) classifies economic activity using the International Standard Industrial Classification (ISIC) of All Economic Activities, revision 2 (1968), revision 3 (1990), and revision 4 (2008). Because this classification is based on where work is performed (industry) rather than type of work performed (occupation), all of an enterprise's employees are classified under the same industry, regardless of their trade or occupation. The categories should sum to 100 percent. Where they do not, the differences are due to workers who are not classified by economic activity.\n\n### Development relevance:\nSectoral information is particularly useful in identifying broad shifts in employment and stages of development. In the textbook case of economic development, labor flows from agriculture and other labor-intensive primary activities to industry and finally to the services sector; in the process, workers migrate from rural to urban areas.\n\nThe breakdown of the indicator by sex allows for analysis of gender segregation of employment by specific sector. Women may be drawn into lower-paying service activities that allow for more flexible work schedules thus making it easier to balance family responsibilities with work life. Segregation of women in certain sectors may also result from cultural attitudes that prevent them from entering industrial employment.\n\nSegregating one sex in a narrow range of occupations significantly reduces economic efficiency by reducing labor market flexibility and thus the economy's ability to adapt to change. This segregation is particularly harmful for women, who have a much narrower range of labor market choices and lower levels of pay than men. But it is also detrimental to men when job losses are concentrated in industries dominated by men and job growth is centered in service occupations, where women have better chances, as has been the recent experience in many countries.\n\n### Limitations and exceptions:\nThere are many differences in how countries define and measure employment status, particularly members of the armed forces, self-employed workers, and unpaid family workers. Where members of the armed forces are included, they are allocated to the service sector, causing that sector to be somewhat overstated relative to the service sector in economies where they are excluded. Where data are obtained from establishment surveys, data cover only employees; thus self-employed and unpaid family workers are excluded. In such cases the employment share of the agricultural sector is severely underreported. Caution should be also used where the data refer only to urban areas, which record little or no agricultural work. Moreover, the age group and area covered could differ by country or change over time within a country. For detailed information, consult the original source.\n\nCountries also take different approaches to the treatment of unemployed people. In most countries unemployed people with previous job experience are classified according to their last job. But in some countries the unemployed and people seeking their first job are not classifiable by economic activity. Because of these differences, the size and distribution of employment by economic activity may not be fully comparable across countries.\n\nThe ILO reports data by major divisions of the ISIC revision 2, revision 3, or revision 4. Broad classification such as employment by agriculture, industry, and services may obscure fundamental shifts within countries' industrial patterns. A slight majority of countries report economic activity according to the ISIC revision 3 instead of revision 2 or revision 4. The use of one classification or the other should not have a significant impact on the information for the employment of the three broad sectors data.","type":"float","dataChecksum":"544857850329050458","metadataChecksum":"4644921029453359519","datasetName":"World Development Indicators","updatePeriodDays":365,"datasetVersion":"2026-02-27","nonRedistributable":false,"display":{"name":"Employment in industry","unit":"%","shortUnit":"%","tolerance":5,"numDecimalPlaces":1},"schemaVersion":2,"presentation":{"attributionShort":"ILO","topicTagsLinks":["Work & Employment"]},"descriptionKey":["Employment refers to people who worked for at least an hour during the reference period (typically a week), whether in paid employment or self-employment.","The industry sector includes mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), as defined by the [International Standard Industrial Classification of All Economic Activities (ISIC)](https://ilostat.ilo.org/methods/concepts-and-definitions/classification-economic-activities/).","This data comes from the ILO Modelled Estimates series. [The International Labour Organization (ILO)](#dod:ilo) combines countries' own reported estimates with statistically modeled estimates when observations are missing. This improves comparability across countries and over time and allows the ILO to calculate regional and global aggregates for every year. You can read more about how the ILO produces these estimates in the [Modelled Estimates documentation](https://ilostat.ilo.org/methods/concepts-and-definitions/ilo-modelled-estimates/).","This data follows the standards of the [13th International Classification of Labour Statisticians (ICLS)](#dod:13-icls). Under this framework, employment includes work for pay or profit, including self-employment, as well as the production of goods for own use (such as subsistence farming). Changes in the definition of employment also affect who is counted as unemployed or outside the labor force. Because definitions were updated under the [19th ICLS](#dod:19-icls), data using the newer definitions is not fully comparable with data based on the 13th ICLS. You can read more about the definitions in [this explainer by the ILO](https://www.ilo.org/publications/quick-guide-understanding-impact-new-statistical-standards-ilostat)."],"dimensions":{"years":{"values":[{"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},{"id":2025}]},"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":304,"name":"Channel Islands","code":"OWID_CIS"},{"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":157,"name":"Eritrea","code":"ERI"},{"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":254,"name":"Guam","code":"GUM"},{"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":262,"name":"Macao","code":"MAC"},{"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":128,"name":"North Korea","code":"PRK"},{"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":82,"name":"Somalia","code":"SOM"},{"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":256,"name":"United States Virgin Islands","code":"VIR"},{"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":238,"name":"Venezuela","code":"VEN"},{"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":13776,"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":"ILO Modelled Estimates, via World Bank","citationFull":"ILO Modelled Estimates database (ILOEST), International Labour Organization (ILO), uri: https://ilostat.ilo.org/data/bulk/, publisher: ILOSTAT, type: external database, date accessed: January 17, 2026. Indicator SL.IND.EMPL.ZS (https://data.worldbank.org/indicator/SL.IND.EMPL.ZS). World Development Indicators - World Bank (2026). Accessed on 2026-02-27.","versionProducer":"125","urlMain":"https://data.worldbank.org/indicator/SL.IND.EMPL.ZS","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"}}]}