World Bank · Agriculture

Agriculture value added per worker

Agriculture value added per worker is a measure of agricultural productivity. Value added in agriculture measures the output of the agricultural sector (ISIC divisions 1-5) less the value of intermediate inputs. Agriculture comprises value added from forestry, hunting, and fishing as well as cultivation of crops and livestock production. Data are in constant 2010 U.S. dollars.

Coverage
183 of 238 countries
Latest data
2016
Series
183
Unit
constant 2010 USD
Licence
CC BY 4.0
Retrieved
2026-11-05
Indicator
agriculture-value-added-per-worker
Interva ID
worldbank-agriculture-value-added-per-worker

Recency

stale

data to 2016; catalog to 2025

Provenance

2 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

0%

Latest observation is 2016; the catalog broadly reports to 2025, so this data is 9 year(s) behind (stale).

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 183 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

Measured

Covers 183 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

Measured

The median series has 27 observations; the earliest begins in 1990.

Method: Counts non-projected observations per series. Not scored: a long history is useful for trend work and irrelevant for a cross-section.

Revisions

Measured

No 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 assessed

No declared schema or validation rules are attached to this dataset yet.

Validity

Not assessed

No field-level validation rules are attached to this dataset yet.

Consistency

Not assessed

Cross-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 value added per worker for each of the 183 countries it covers, with the full history.

Latest observations

CountryPeriodValueUnit
Afghanistan2016632.95constant 2010 USD
Albania20164281.28constant 2010 USD
Algeria20166203.31constant 2010 USD
Antigua and Barbuda20162834.81constant 2010 USD
Argentina201622,269constant 2010 USD
Armenia201618,401constant 2010 USD
Australia201655,934constant 2010 USD
Austria201649,305constant 2010 USD
Azerbaijan20163455.55constant 2010 USD
Bahamas201630,889constant 2010 USD

Provenance

Who produced these figures, as World Bank declares it — not inferred, and each line says which published field it was read from.

  1. Produced by

    Not named — the declaration is kept verbatim

    Derived from World Bank national accounts files and Food and Agriculture Organization, Production Yearbook and data files.

    declared by worldbank in sourceOrganization

  2. Read from

    World Bank

    Sustainable Development Goals

    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

Related datasets

Citation

Version: catalog snapshot 2026-11-05. The record labels this as a catalog snapshot because immutable dataset releases are not stored yet.

World Bank (2026). Agriculture value added per worker. Interva. https://interva.co/dataset/worldbank-agriculture-value-added-per-worker (accessed 2026-11-07). catalog snapshot 2026-11-05.

BibTeX
@misc{interva-worldbank-agriculture-value-added-per-worker,
  title        = {Agriculture value added per worker},
  author       = {World Bank},
  year         = {2026},
  howpublished = {\url{https://interva.co/dataset/worldbank-agriculture-value-added-per-worker}},
  note         = {Interva dataset worldbank-agriculture-value-added-per-worker; catalog snapshot 2026-11-05},
  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-value-added-per-worker
curl -o worldbank-agriculture-value-added-per-worker.csv https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-agriculture-value-added-per-worker/download
curl "https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-agriculture-value-added-per-worker/citation?accessed=YYYY-MM-DD"
curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-agriculture-value-added-per-worker/quality

Full schema: https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/docs

Open in the terminal to chart this series, compare it against other publishers, or export it with its provenance.

Agriculture value added per worker · World Bank · Interva