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

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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.

Les titres et les descriptions proviennent des sources de données, en anglais.

Source: World Bank agriculture-productivity intelligence
Lignes: 12 572
Colonnes: 14
Cadence de la source: Annuelle
Dernière actualisation: 8 oct. 2026
Thème: agriculture

Colonne	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).

10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.

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

Profilé le 9 oct. 2026 à partir de l’instantané 20261008T162619Z-ce5cd4a0eb23

Mesuré

Complétude: 78,1 %
Lignes: 12 572
Colonnes: 14
Colonnes incomplètes: 8

Lignes par annéeyear · 1961–2025 · 65 ans

19612025

Colonne	Manquant	Distinctes	Plage	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 025médiane 1 995
agri_value_added_per_worker_usddouble	55,4 %	4 747	155,59 → 150 632médiane 4 515	114 hors du 1er–99e centile
productivity_tiervarchar	55,4 %	5	—	nascent2 072 emerging1 413 established1 003
cereal_yield_kg_hadouble	17,7 %	8 349	0,1 → 36 762médiane 1 885	208 hors du 1er–99e centile
agri_land_pctdouble	3,6 %	8 272	0,2554 → 93,44médiane 37,28	244 hors du 1er–99e centile
yield_change_10y_pctdouble	32,2 %	10 873	-99,94 → 2 096médiane 14,31	172 hors du 1er–99e centile
empl_change_10y_pctdouble	69,3 %	4 386	-86,55 → 474,87médiane 23,79	78 hors du 1er–99e centile
yield_rankbigint	17,7 %	205	1 → 180médiane 81	162 hors du 1er–99e centile
empl_rankbigint	55,4 %	194	1 → 179médiane 81	92 hors du 1er–99e centile
row_hashvarchar	0 %	11 458	—	00073eaee3e71 000df08048851 00130a437af41

Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (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)

Point d’accès API : https://datazimuts.com/v1/datasets/wb_agri_productivity_intel/agriculture_productivity_panel

Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.

Citer cet instantané

Épinglé à l’instantané 20261008T162619Z-ce5cd4a0eb23 et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.

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/fr/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/fr/datasets/wb_agri_productivity_intel/agriculture_productivity_panel?snapshot=20261008T162619Z-ce5cd4a0eb23}},
  note         = {Snapshot 20261008T162619Z-ce5cd4a0eb23, sha256 ce5cd4a0eb233000e9da9fa1c2c4abf642b5764b01b7143a321da8d6df339acb; accessed 2026-10-09}
}

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HTML

<iframe src="https://datazimuts.com/embed/chart?dataset=wb_agri_productivity_intel%2Fagriculture_productivity_panel&lang=fr&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>