What you should know about this indicator

  • Recent estimates (from 1991) are ILO-modeled estimates published by the World Bank, measuring agricultural employment as a share of total employment.
  • For five European countries (France, Italy, the Netherlands, Poland and the United Kingdom), earlier values around 1980 come from an archived edition of the World Development Indicators, which the World Bank later replaced with the ILO-modeled series.
  • For the same five countries, benchmark estimates between 1300 and 1800 come from Broadberry and Gardner (2013); these measure the share of the total labor force, which also includes unemployed people.

How is this data described by its producer - ILO?

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 agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4).

Aggregation method:

Weighted average

Statistical concept and methodology:

Methodology: 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/

Statistical 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.

Development relevance:

Sectoral 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.

The 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. Segregating 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.

Limitations and exceptions:

There 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.

Countries 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.

The 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 sectorsdata.

Share of employment in agriculture
ILO
Share of working people employed in agriculture, including hunting, forestry and fishing.
Source
ILO Modelled Estimates, via World Bank (2026); Broadberry and Gardner (2013); International Labor Organization (via World Bank) (2013)with major processing by Our World in Data
Last updated
July 2, 2026
Next expected update
July 2027
Date range
1300–2025
Unit
%

Sources and processing

ILO Modelled Estimates, via World Bank – World Development Indicators

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.

Retrieved on
February 27, 2026
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
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.AGR.EMPL.ZS (https://data.worldbank.org/indicator/SL.AGR.EMPL.ZS). World Development Indicators - World Bank (2026). Accessed on 2026-02-27.

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.

Retrieved on
February 27, 2026
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
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.AGR.EMPL.ZS (https://data.worldbank.org/indicator/SL.AGR.EMPL.ZS). World Development Indicators - World Bank (2026). Accessed on 2026-02-27.

Broadberry and Gardner – Africa's Growth Prospects in a European Mirror

Drawing on recent quantitative research on Europe reaching back to the medieval period, and noting a relationship between the quality of institutions and economic growth, this paper offers a reassessment of Africa's growth prospects. Periods of positive growth driven by trade, followed by growth reversals which wiped out the gains of the previous boom, characterized pre-modern Europe as well as twentieth century Africa. Since per capita incomes in much of sub-Saharan Africa are currently at the level of medieval Europe, which did not make the breakthrough to modern economic growth until the nineteenth century, we caution against too optimistic a reading of Africa's recent growth experience. Without the institutional changes necessary to facilitate structural change, growth reversals continue to pose a serious threat to African prosperity. Only if growth continues after a downturn in Africa's terms of trade can we be sure that the corner has been turned.

Retrieved on
July 13, 2026
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Broadberry, Stephen and Gardner, Leigh (2013) Africa's growth prospects in a European mirror: a historical perspective. Working Paper. Coventry, UK: Department of Economics, University of Warwick. (CAGE Online Working Paper Series No. 172).

Drawing on recent quantitative research on Europe reaching back to the medieval period, and noting a relationship between the quality of institutions and economic growth, this paper offers a reassessment of Africa's growth prospects. Periods of positive growth driven by trade, followed by growth reversals which wiped out the gains of the previous boom, characterized pre-modern Europe as well as twentieth century Africa. Since per capita incomes in much of sub-Saharan Africa are currently at the level of medieval Europe, which did not make the breakthrough to modern economic growth until the nineteenth century, we caution against too optimistic a reading of Africa's recent growth experience. Without the institutional changes necessary to facilitate structural change, growth reversals continue to pose a serious threat to African prosperity. Only if growth continues after a downturn in Africa's terms of trade can we be sure that the corner has been turned.

Retrieved on
July 13, 2026
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Broadberry, Stephen and Gardner, Leigh (2013) Africa's growth prospects in a European mirror: a historical perspective. Working Paper. Coventry, UK: Department of Economics, University of Warwick. (CAGE Online Working Paper Series No. 172).

International Labor Organization (via World Bank) – World Development Indicators (archived release)

The indicators "Employment in agriculture (% of total employment)", "Employment in industry (% of total employment)" and "Employment in services (% of total employment)" as published in archived editions of the World Bank's World Development Indicators, based on the International Labor Organization's labor force statistics. The World Bank later replaced these series with ILO-modeled estimates that begin in 1991, removing the earlier observations from the current World Development Indicators; the superseded editions remain available in the WDI Database Archives.

Retrieved on
July 13, 2026
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
International Labor Organization, "Employment in agriculture/industry/services (% of total employment)," World Development Indicators, The World Bank (archived edition of April 2013, WDI Database Archives).

The indicators "Employment in agriculture (% of total employment)", "Employment in industry (% of total employment)" and "Employment in services (% of total employment)" as published in archived editions of the World Bank's World Development Indicators, based on the International Labor Organization's labor force statistics. The World Bank later replaced these series with ILO-modeled estimates that begin in 1991, removing the earlier observations from the current World Development Indicators; the superseded editions remain available in the WDI Database Archives.

Retrieved on
July 13, 2026
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
International Labor Organization, "Employment in agriculture/industry/services (% of total employment)," World Development Indicators, The World Bank (archived edition of April 2013, WDI Database Archives).

All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.

At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.

Read about our data pipeline
Notes on our processing step for this indicator

This indicator combines two series published by the World Bank's World Development Indicators: ILO-modeled employment shares, available from 1991 onwards, and — for France, Italy, the Netherlands, Poland and the United Kingdom — employment shares around 1980 from an archived edition, which the World Bank later replaced with the ILO-modeled series.

For the same five countries, benchmark estimates of the share of the labor force employed in agriculture between 1300 and 1800 come from Broadberry and Gardner (2013).

How to cite this page

To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:

“Data Page: Share of employment in agriculture”, part of the following publication: Max Roser (2023) - “Employment in Agriculture”. Data adapted from ILO Modelled Estimates, via World Bank, Broadberry and Gardner, International Labor Organization (via World Bank). Retrieved from https://archive.ourworldindata.org/20260714-153658/grapher/share-of-the-labor-force-employed-in-agriculture.html [online resource] (archived on July 14, 2026).

How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

ILO Modelled Estimates, via World Bank (2026); Broadberry and Gardner (2013); International Labor Organization (via World Bank) (2013) – with major processing by Our World in Data

Full citation

ILO Modelled Estimates, via World Bank (2026); Broadberry and Gardner (2013); International Labor Organization (via World Bank) (2013) – with major processing by Our World in Data. “Share of employment in agriculture – ILO” [dataset]. ILO Modelled Estimates, via World Bank, “World Development Indicators 125”; Broadberry and Gardner, “Africa's Growth Prospects in a European Mirror”; International Labor Organization (via World Bank), “World Development Indicators (archived release)” [original data]. Retrieved July 14, 2026 from https://archive.ourworldindata.org/20260714-153658/grapher/share-of-the-labor-force-employed-in-agriculture.html (archived on July 14, 2026).

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