World Bank · Economy
Agriculture, forestry, and fishing, value added per worker
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.
- Coverage
- 179 of 238 countries
- Latest data
- 2025
- Series
- 179
- Unit
- constant 2015 USD
- Licence
- CC BY 4.0
- Retrieved
- 2026-11-07
- Indicator
- agriculture-forestry-and-fishing-value-added-per-worker
- Interva ID
- worldbank-agriculture-forestry-and-fishing-value-added-per-worker
Recency
current
data to 2025; catalog to 2025
Provenance
3 steps
as the publisher declares it
Versions
1
catalog snapshots
Citation
BibTeX + CSL
versioned permalink
Quality profile
This profile describes what Interva can measure in the data. It does not claim the dataset is accurate, complete, or suitable for a particular use.
Recency
100%Latest observation is 2025; the catalog broadly reports to 2025, so this data is 0 year(s) behind (current).
Method: Compares the dataset's latest non-projected period with the year most datasets in the catalog end in. Up to 2 years behind is current — annual data is routinely published a year or two late — and more than 5 is stale. Measured from the data, not from when Interva last crawled it.
Temporal completeness
100%0 of 179 series skip at least one year inside their own span; the median series reports 100% of its years.
Method: Per series, years present divided by years from its first to its last observation; the median across series is reported. Annual periods are assumed, which holds for every series in the catalog today.
Geographic coverage
MeasuredCovers 179 of the 238 countries in the catalog.
Method: Counts distinct geographies with at least one observation. Not scored: a regional dataset covering its region completely is not deficient for omitting the rest of the world.
History depth
MeasuredThe median series has 35 observations; the earliest begins in 1991.
Method: Counts non-projected observations per series. Not scored: a long history is useful for trend work and irrelevant for a cross-section.
Revisions
MeasuredNo observation has been restated in any vintage Interva has recorded.
Method: Counts values the publisher changed between Interva's publishes. Not scored: revising estimates is ordinary and often a sign of care, and the count is here so a reader citing a figure knows whether it moves.
Schema conformity
Not assessedNo declared schema or validation rules are attached to this dataset yet.
Validity
Not assessedNo field-level validation rules are attached to this dataset yet.
Consistency
Not assessedCross-series consistency rules are not defined yet. The obvious first one — whether two publishers measuring one concept agree within a stated tolerance — is a candidate.
2 scored from the data, 3 described without a score, 3 not assessed. Pipeline integrity: all 5 checks pass. Assessed 2026-11-07.
By country
Agriculture, forestry, and fishing, value added per worker for each of the 179 countries it covers, with the full history.
- Afghanistan 2002–2024
- Albania 1995–2025
- Algeria 1999–2025
- Angola 2002–2025
- Argentina 1991–2025
- Armenia 1991–2025
- Australia 1991–2025
- Austria 1991–2025
- Azerbaijan 1992–2025
- Bahamas 1991–2024
- Bahrain 2006–2025
- Bangladesh 1991–2025
- Barbados 1991–2024
- Belarus 1991–2025
- Belgium 1995–2025
- Belize 1991–2025
- Benin 1991–2025
- Bhutan 1991–2025
- Bolivia, Plurinational State of 1991–2024
- Bosnia and Herzegovina 2000–2025
- Botswana 1991–2025
- Brazil 1991–2025
- Brunei Darussalam 1991–2025
- Bulgaria 1991–2025
- Burkina Faso 1991–2025
- Burundi 1991–2025
- Cabo Verde 1991–2025
- Cambodia 1993–2025
- Cameroon 1991–2025
- Canada 1997–2025
- Central African Republic 2009–2025
- Chad 2005–2025
- Chile 1991–2025
- China 1991–2025
- Colombia 1991–2025
- Comoros 1991–2025
- Congo 1991–2025
- Congo, The Democratic Republic of the 1991–2025
- Costa Rica 1991–2025
- Côte d'Ivoire 2008–2025
- Croatia 1995–2025
- Cuba 1991–2024
- Cyprus 1991–2025
- Czechia 1993–2025
- Denmark 1991–2025
- Djibouti 2013–2025
- Dominican Republic 1991–2025
- Ecuador 1991–2025
- Egypt 1991–2025
- El Salvador 1991–2025
- Equatorial Guinea 2006–2025
- Estonia 1995–2025
- Eswatini 1991–2025
- Ethiopia 1991–2025
- Fiji 1991–2025
- Finland 1991–2025
- France 1991–2025
- French Polynesia 2015–2015
- Gabon 1991–2025
- Gambia 1991–2025
- Georgia 2003–2025
- Germany 1991–2025
- Ghana 2006–2025
- Greece 1995–2025
- Guatemala 1991–2025
- Guinea 1991–2025
- Guinea-Bissau 1997–2025
- Guyana 1991–2025
- Haiti 1991–2025
- Honduras 1991–2025
- Hong Kong 2000–2025
- Hungary 1995–2025
- Iceland 1995–2025
- India 1991–2025
- Indonesia 1991–2025
- Iran, Islamic Republic of 1991–2025
- Iraq 1991–2025
- Ireland 1995–2025
- Israel 1995–2024
- Italy 1991–2025
- Jamaica 1991–2025
- Japan 1994–2024
- Jordan 1991–2025
- Kazakhstan 1991–2025
- Kenya 1991–2025
- Korea, Republic of 1991–2025
- Kuwait 2010–2025
- Kyrgyzstan 1991–2025
- Lao People's Democratic Republic 2000–2025
- Latvia 1995–2025
- Lebanon 1991–2023
- Lesotho 1991–2025
- Liberia 2000–2025
- Libya 2006–2025
- Lithuania 1995–2025
- Luxembourg 1995–2025
- Madagascar 1995–2025
- Malawi 1991–2025
- Malaysia 1991–2025
- Maldives 1995–2025
- Mali 1991–2025
- Malta 2000–2025
- Mauritania 1991–2025
- Mauritius 1991–2025
- Mexico 1991–2025
- Moldova, Republic of 1995–2025
- Mongolia 1991–2025
- Montenegro 2000–2025
- Morocco 1991–2025
- Mozambique 1991–2025
- Myanmar 2000–2025
- Namibia 1991–2025
- Nepal 1991–2025
- Netherlands 1991–2025
- New Caledonia 2015–2015
- New Zealand 1991–2024
- Nicaragua 1991–2025
- Niger 1991–2025
- Nigeria 1991–2025
- North Macedonia 1991–2025
- Norway 1991–2025
- Oman 1998–2025
- Pakistan 1991–2025
- Palestine, State of 1994–2022
- Panama 1991–2025
- Papua New Guinea 2006–2024
- Paraguay 1991–2025
- Peru 1991–2025
- Philippines 1991–2025
- Poland 1995–2025
- Portugal 1995–2025
- Puerto Rico 2015–2015
- Qatar 1991–2025
- Romania 1991–2025
- Russian Federation 1991–2025
- Rwanda 1991–2025
- Saint Lucia 1991–2025
- Saint Vincent and the Grenadines 1991–2025
- Samoa 1994–2025
- Sao Tome and Principe 2008–2025
- Saudi Arabia 1991–2025
- Senegal 1991–2025
- Serbia 1995–2025
- Sierra Leone 1991–2025
- Singapore 1991–2025
- Slovakia 1995–2025
- Slovenia 1995–2025
- Solomon Islands 2003–2024
- South Africa 1991–2025
- South Sudan 2008–2015
- Spain 1995–2025
- Sri Lanka 1991–2025
- Sudan 1991–2022
- Suriname 1991–2024
- Sweden 1991–2025
- Switzerland 1991–2025
- Syrian Arab Republic 2000–2022
- Tajikistan 1991–2024
- Tanzania, United Republic of 1991–2025
- Thailand 1991–2025
- Timor-Leste 2000–2024
- Togo 1991–2025
- Tonga 1991–2024
- Trinidad and Tobago 1991–2024
- Tunisia 1991–2025
- Türkiye 1991–2025
- Turkmenistan 2010–2025
- Uganda 1991–2025
- Ukraine 1991–2021
- United Arab Emirates 1991–2024
- United Kingdom 1991–2025
- United States 2015–2015
- Uruguay 1991–2025
- Uzbekistan 1991–2025
- Vanuatu 1991–2024
- Viet Nam 1991–2025
- Yemen 1991–2018
- Zambia 1991–2025
- Zimbabwe 1991–2025
Latest observations
| Country | Period | Value | Unit |
|---|---|---|---|
| Albania | 2025 | 5888.04 | constant 2015 USD |
| Algeria | 2025 | 21,681 | constant 2015 USD |
| Angola | 2025 | 2574.41 | constant 2015 USD |
| Argentina | 2025 | 20,489 | constant 2015 USD |
| Armenia | 2025 | 4070.41 | constant 2015 USD |
| Australia | 2025 | 126,574 | constant 2015 USD |
| Austria | 2025 | 38,658 | constant 2015 USD |
| Azerbaijan | 2025 | 2755.24 | constant 2015 USD |
| Bahrain | 2025 | 17,610 | constant 2015 USD |
| Bangladesh | 2025 | 1236.22 | constant 2015 USD |
Provenance
Who produced these figures, as World Bank declares it — not inferred, and each line says which published field it was read from.
Produced by
World Bank
World Development Indicators database, World Bank (WB)
declared by worldbank in sourceOrganization
International Labour Organization
ILOSTAT database, International Labour Organization (ILO)
declared by worldbank in sourceOrganization
Read from
World Bank
World Development Indicators
declared by worldbank in source
Versions
A vintage is a dated publish of the catalog. The current entry is a catalog snapshot; checksums are not recorded yet and are shown as such.
- CurrentCurrent catalog snapshotchecksum not recorded
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Citation
Version: catalog snapshot 2026-11-07. The record labels this as a catalog snapshot because immutable dataset releases are not stored yet.
World Bank (2026). Agriculture, forestry, and fishing, value added per worker. Interva. https://interva.co/dataset/worldbank-agriculture-forestry-and-fishing-value-added-per-worker (accessed 2026-11-07). catalog snapshot 2026-11-07.
@misc{interva-worldbank-agriculture-forestry-and-fishing-value-added-per-worker,
title = {Agriculture, forestry, and fishing, value added per worker},
author = {World Bank},
year = {2026},
howpublished = {\url{https://interva.co/dataset/worldbank-agriculture-forestry-and-fishing-value-added-per-worker}},
note = {Interva dataset worldbank-agriculture-forestry-and-fishing-value-added-per-worker; catalog snapshot 2026-11-07},
urldate = {2026-11-07}
}DOI: not assigned (not assigned). The permalink is versioned by catalog snapshot; a stable dataset DOI is a later step.
API access
Every fact on this page is available from the API.
curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-agriculture-forestry-and-fishing-value-added-per-workercurl -o worldbank-agriculture-forestry-and-fishing-value-added-per-worker.csv https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-agriculture-forestry-and-fishing-value-added-per-worker/downloadcurl "https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-agriculture-forestry-and-fishing-value-added-per-worker/citation?accessed=YYYY-MM-DD"curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-agriculture-forestry-and-fishing-value-added-per-worker/qualityFull schema: https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/docs
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