World Bank agriculture productivity panel (yield + value per worker)

Commercial use OKFreshLicense: CC-BY-4.0

Sign in for the full datasetSample rows are free for everyone. Sign in — it's free — to download full snapshots and their history.Download sample CSV Download sample JSONSample rows only (up to 20) — not the complete dataset.

Value-added panel of the World Bank's World Development Indicators (keyless API v2, CC BY 4.0): agriculture, forestry and fishing value added per worker (constant 2015 US$), cereal yield (kg per hectare) and agricultural land as a share of land area — for ~220 economies, 1961-2025 — with derived productivity tiers, 10-year productivity-momentum changes and within-year ranks. Joins on economy_code with the catalog's other World Bank panels.

Source: World Bank agriculture-productivity intelligence
Rows: 12,572
Columns: 14
Source cadence: Yearly
Last refreshed: Oct 8, 2026
Theme: agriculture

Column	Type	Description
economy_code	string	ISO 3166-1 alpha-3 economy code (World Bank API field countryiso3code).
economy_name	string	Economy name as published by the World Bank API.
region	string	World Bank region (API field region.value).
income_group	string	World Bank income group (API field incomeLevel.value).
year	integer	Reference year (1961-2025; the value-added-per-worker series starts in 1991 and the three series have different latest vintages — 2025 / 2024 / 2023 — so rows are sparse-honest).
agri_value_added_per_worker_usd	float	Agriculture, forestry and fishing value added per worker (WDI indicator NV.AGR.EMPL.KD) = sector value added divided by total sector employment. (unit: constant 2015 US$)
productivity_tier	string	Fixed productivity cuts on agri_value_added_per_worker_usd (connector-derived): frontier (>=60,000), advanced (20,000-60,000), established (8,000-20,000), emerging (3,000-8,000), nascent (<3,000).
cereal_yield_kg_ha	float	Cereal yield (WDI indicator AG.YLD.CREL.KG): harvested production per hectare of harvested land for wheat, rice, maize, barley, oats, rye, millet, sorghum, buckwheat and mixed grain (FAO production data). (unit: kg per hectare)
agri_land_pct	float	Agricultural land as a share of land area (WDI indicator AG.LND.AGRI.ZS) = arable land + permanent crops + permanent pastures. (unit: % of land area)
yield_change_10y_pct	float	Trailing 10-year percent change of cereal yield (the yield-productivity momentum lens); null when the base year is absent or zero. (unit: %)
empl_change_10y_pct	float	Trailing 10-year percent change of agriculture value added per worker (the labor-productivity lens); null when the base year is absent or zero. (unit: %)
yield_rank	integer	Rank of cereal_yield_kg_ha within the year (1 = highest); null where the yield is null. (unit: rank)
empl_rank	integer	Rank of agri_value_added_per_worker_usd within the year (1 = highest); null where the value is null. (unit: rank)
row_hash	string	Deterministic 12-hex row identity hash (economy_code\|year).

First 10 sample rows — a preview, not the complete dataset.

economy_code	economy_name	region	income_group	year	agri_value_added_per_worker_usd	productivity_tier	cereal_yield_kg_ha	agri_land_pct	yield_change_10y_pct	empl_change_10y_pct	yield_rank	empl_rank	row_hash
ABW	Aruba	Latin America & Caribbean	High income	1,961	—	—	—	11.111	—	—	—	—	2861451dba3e
ABW	Aruba	Latin America & Caribbean	High income	1,962	—	—	—	11.111	—	—	—	—	0ff75b5d0c5d
ABW	Aruba	Latin America & Caribbean	High income	1,963	—	—	—	11.111	—	—	—	—	f6dcac872121
ABW	Aruba	Latin America & Caribbean	High income	1,964	—	—	—	11.111	—	—	—	—	c3dd8337dd1a
ABW	Aruba	Latin America & Caribbean	High income	1,965	—	—	—	11.111	—	—	—	—	9511b277e1aa
ABW	Aruba	Latin America & Caribbean	High income	1,966	—	—	—	11.111	—	—	—	—	a0951a4ed836
ABW	Aruba	Latin America & Caribbean	High income	1,967	—	—	—	11.111	—	—	—	—	589f4bb72296
ABW	Aruba	Latin America & Caribbean	High income	1,968	—	—	—	11.111	—	—	—	—	6e776bd38f5e
ABW	Aruba	Latin America & Caribbean	High income	1,969	—	—	—	11.111	—	—	—	—	ca8d34b45651
ABW	Aruba	Latin America & Caribbean	High income	1,970	—	—	—	11.111	—	—	—	—	1968965d54f6

Profiled Oct 9, 2026 from snapshot 20261008T162619Z-ce5cd4a0eb23

Measured

Completeness: 78.1%
Rows: 12,572
Columns: 14
Columns with gaps: 8

Rows per yearyear · 1961–2025 · 65 years

19612025

Column	Missing	Distinct	Range	Distribution
economy_codevarchar	0%	257	—	AGO65 ALB65 ARG65
economy_namevarchar	0%	221	—	Albania65 Algeria65 Angola65
regionvarchar	0%	6	—	Sub-Saharan Africa 3,033 Europe & Central Asia2,772 Latin America & Caribbean 2,509
income_groupvarchar	0%	4	—	High income4,766 Upper middle income3,320 Lower middle income2,951
yearbigint	0%	63	1,961 → 2,025median 1,995
agri_value_added_per_worker_usddouble	55.4%	4,747	155.59 → 150,632median 4,515	114 outside 1st–99th percentile
productivity_tiervarchar	55.4%	5	—	nascent2,072 emerging1,413 established1,003
cereal_yield_kg_hadouble	17.7%	8,349	0.1 → 36,762median 1,885	208 outside 1st–99th percentile
agri_land_pctdouble	3.6%	8,272	0.2554 → 93.44median 37.28	244 outside 1st–99th percentile
yield_change_10y_pctdouble	32.2%	10,873	-99.94 → 2,096median 14.31	172 outside 1st–99th percentile
empl_change_10y_pctdouble	69.3%	4,386	-86.55 → 474.87median 23.79	78 outside 1st–99th percentile
yield_rankbigint	17.7%	205	1 → 180median 81	162 outside 1st–99th percentile
empl_rankbigint	55.4%	194	1 → 179median 81	92 outside 1st–99th percentile
row_hashvarchar	0%	11,458	—	00073eaee3e71 000df08048851 00130a437af41

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/wb_agri_productivity_intel/agriculture_productivity_panel" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/wb_agri_productivity_intel/agriculture_productivity_panel").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

API endpoint: https://datazimuts.com/v1/datasets/wb_agri_productivity_intel/agriculture_productivity_panel

Tip: fetch /llms.txt for the full machine-readable catalog.

Cite this snapshot

Pinned to snapshot 20261008T162619Z-ce5cd4a0eb23 and its content hash, so readers get exactly the data you used.

APA

World Bank agriculture-productivity intelligence. (2026). World Bank agriculture productivity panel (yield + value per worker) [Data set, snapshot 20261008T162619Z-ce5cd4a0eb23, sha256 ce5cd4a0eb23]. Datazimuts. Retrieved 2026-10-09, from https://datazimuts.com/en/datasets/wb_agri_productivity_intel/agriculture_productivity_panel?snapshot=20261008T162619Z-ce5cd4a0eb23

BibTeX

@misc{dz_wb_agri_productivity_intel_agriculture_p_ce5cd4a0,
  title        = {{World Bank agriculture productivity panel (yield + value per worker)}},
  author       = {{World Bank agriculture-productivity intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/wb_agri_productivity_intel/agriculture_productivity_panel?snapshot=20261008T162619Z-ce5cd4a0eb23}},
  note         = {Snapshot 20261008T162619Z-ce5cd4a0eb23, sha256 ce5cd4a0eb233000e9da9fa1c2c4abf642b5764b01b7143a321da8d6df339acb; accessed 2026-10-09}
}

Embed a table or a chart

Paste this into any page. The embed is pinned to the same snapshot, follows the reader's light or dark setting, and always shows the source, license and a link back.

Type

X axis

Value

Aggregate

Theme

HTML

<iframe src="https://datazimuts.com/embed/chart?dataset=wb_agri_productivity_intel%2Fagriculture_productivity_panel&lang=en&theme=auto&snapshot=20261008T162619Z-ce5cd4a0eb23&x=year&y=year&agg=avg" title="World Bank agriculture productivity panel (yield + value per worker)" width="100%" height="380" style="border:0" loading="lazy"></iframe>