Data

Employment in agriculture vs. urban population

What you should know about this indicator

  • This measures the percentage of all workers who are employed in agriculture.
  • Agriculture includes farming, forestry, fishing, and related activities.
  • People are counted even if they are temporarily absent from work due to sickness, leave, or seasonal factors.

How is this data described by its producer?

Definition: 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

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.

Notes from original source: Given the exceptional situation, including the scarcity of relevant data, the ILO modeled estimates and projections from 2020 onwards are subject to substantial uncertainty.

Employment in agriculture vs. urban population
The share of people employed in agriculture includes working-age people with a job in farming, forestry, fishing, and related activities, including those temporarily absent.
Source
ILO via World Bankprocessed by Our World in Data
Last updated
September 8, 2025
Next expected update
September 2026
Date range
1991–2023
Unit
%

Sources and processing

World Bank Gender Statistics

The World Bank Gender Statistics dataset provides a comprehensive range of gender-related indicators grouped by various topics. These indicators are categorized under different themes such as education, employment and time use, entrepreneurship, environment, health, leadership, norms and decision-making, technology, violence, and contextual information. Each category contains numerous specific indicators, covering a wide range of issues such as literacy rates, employment by sector, legal rights, health statistics, and more. This dataset offers detailed information and insights into various aspects of gender disparity and equality across different regions and countries.

Retrieved on
September 8, 2025
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.
World Bank Gender Statistics, World Bank, 2025. Licence: CC BY 4.0.

The World Bank Gender Statistics dataset provides a comprehensive range of gender-related indicators grouped by various topics. These indicators are categorized under different themes such as education, employment and time use, entrepreneurship, environment, health, leadership, norms and decision-making, technology, violence, and contextual information. Each category contains numerous specific indicators, covering a wide range of issues such as literacy rates, employment by sector, legal rights, health statistics, and more. This dataset offers detailed information and insights into various aspects of gender disparity and equality across different regions and countries.

Retrieved on
September 8, 2025
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.
World Bank Gender Statistics, World Bank, 2025. Licence: CC BY 4.0.

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.

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“Data Page: Employment in agriculture vs. urban population”, part of the following publication: Bastian Herre, Veronika Samborska, Pablo Arriagada, and Hannah Ritchie (2023) - “Women’s Rights”. Data adapted from World Bank Gender Statistics. Retrieved from https://archive.ourworldindata.org/20260602-132256/grapher/employment-in-agri-vs-urban-pop.html [online resource] (archived on June 2, 2026).

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ILO via World Bank – processed by Our World in Data

Full citation

ILO via World Bank – processed by Our World in Data. “Employment in agriculture vs. urban population” [dataset]. World Bank Gender Statistics, “World Bank Gender Statistics” [original data]. Retrieved June 2, 2026 from https://archive.ourworldindata.org/20260602-132256/grapher/employment-in-agri-vs-urban-pop.html (archived on June 2, 2026).

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