World Bank water security panel (renewable endowment + water stress)

Usage commercial OKÀ jourLicence: CC-BY-4.0

Le jeu complet n’est pas encore publié — revenez après la prochaine actualisation.Télécharger l'exemple CSV Télécharger l'exemple JSONLignes d’exemple seulement (jusqu’à 20) — pas le jeu de données complet.

Value-added panel of the World Bank's World Development Indicators (keyless API v2, CC BY 4.0): renewable internal freshwater resources per capita and in total, plus the level of water stress — freshwater withdrawal as a proportion of available freshwater resources (SDG 6.4.2) — for ~250 economies, 1961-2022, with derived stress bands (WRI Aqueduct), implied withdrawals, 10-year scarcity changes and within-year stress ranks. The resource-side companion to the access-side unicef_wash_intel panel; 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 water-security intelligence
Lignes: 10 467
Colonnes: 14
Cadence de la source: Annuelle
Dernière actualisation: 8 oct. 2026
Thème: environment

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 (1961-2022; the stress series is measured sparsely — quinquennial-ish vintage — while the endowment series are annual).
water_stress_pct	float	Level of water stress: freshwater withdrawal as a proportion of available freshwater resources (WDI indicator ER.H2O.FWST.ZS, SDG 6.4.2, sourced from FAO AQUASTAT). Values above 100% are genuine — withdrawals can exceed renewable supply (desalination, fossil groundwater). (unit: %)
stress_band	string	WRI Aqueduct baseline water-stress band (connector-derived from water_stress_pct): low (<10), low-medium (10-20), medium-high (20-40), high (40-80), extremely high (>80).
renewable_water_pc_m3	float	Renewable internal freshwater resources per capita (WDI indicator ER.H2O.INTR.PC, FAO AQUASTAT). Zero is genuine for economies with ~no internal renewable water (e.g. KWT). (unit: m3 per capita)
total_renewable_bcm	float	Renewable internal freshwater resources, total (WDI indicator ER.H2O.INTR.K3, FAO AQUASTAT). Long-term averages repeated yearly upstream. (unit: billion m3)
implied_withdrawals_bcm	float	Implied annual freshwater withdrawals = water_stress_pct/100 * total_renewable_bcm (connector-derived, informational). Null when either input is null. (unit: billion m3)
renewable_pc_change_10y_pct	string	Trailing 10-year percent change of per-capita renewable endowment (the population-driven scarcity lens); null when the base year is absent. (unit: %)
stress_change_10y_pp	float	Trailing 10-year change of the stress level, in percentage points; sparse (quinquennial-ish vintage), null when the base year is absent. (unit: pp)
stress_rank	integer	Rank of water_stress_pct within the year (1 = highest stress); null where stress 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	water_stress_pct	stress_band	renewable_water_pc_m3	total_renewable_bcm	implied_withdrawals_bcm	renewable_pc_change_10y_pct	stress_change_10y_pp	stress_rank	row_hash
AFG	Afghanistan	Middle East, North Africa, Afghanistan & Pakistan	Low income	1 962	—	—	5 013,607	47,15	—	—	—	—	af3bbfd845ca
AFG	Afghanistan	Middle East, North Africa, Afghanistan & Pakistan	Low income	1 963	—	—	4 909,164	47,15	—	—	—	—	35c09aabf312
AFG	Afghanistan	Middle East, North Africa, Afghanistan & Pakistan	Low income	1 964	—	—	4 804,205	47,15	—	—	—	—	0a84e61b2312
AFG	Afghanistan	Middle East, North Africa, Afghanistan & Pakistan	Low income	1 965	—	—	4 698,083	47,15	—	—	—	—	b87f09371b7f
AFG	Afghanistan	Middle East, North Africa, Afghanistan & Pakistan	Low income	1 966	—	—	4 592,654	47,15	—	—	—	—	d93841abc008
AFG	Afghanistan	Middle East, North Africa, Afghanistan & Pakistan	Low income	1 967	—	—	4 487,929	47,15	—	—	—	—	d3b3c7d766e5
AFG	Afghanistan	Middle East, North Africa, Afghanistan & Pakistan	Low income	1 968	—	—	4 383,224	47,15	—	—	—	—	4b68a99e7eab
AFG	Afghanistan	Middle East, North Africa, Afghanistan & Pakistan	Low income	1 969	—	—	4 279,591	47,15	—	—	—	—	1973e80b2043
AFG	Afghanistan	Middle East, North Africa, Afghanistan & Pakistan	Low income	1 970	—	—	4 176,215	47,15	—	—	—	—	e46415eeb918
AFG	Afghanistan	Middle East, North Africa, Afghanistan & Pakistan	Low income	1 971	—	—	4 076,016	47,15	—	—	—	—	5f80a37e313f

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_water_security_intel/water_security_panel" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/wb_water_security_intel/water_security_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_water_security_intel/water_security_panel

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

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Épinglé à l’instantané 20261008T101549Z-bfac06874402 et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.

APA

World Bank water-security intelligence. (2026). World Bank water security panel (renewable endowment + water stress) [Data set, snapshot 20261008T101549Z-bfac06874402, sha256 bfac06874402]. Datazimuts. Retrieved 2026-10-08, from https://datazimuts.com/fr/datasets/wb_water_security_intel/water_security_panel?snapshot=20261008T101549Z-bfac06874402

BibTeX

@misc{dz_wb_water_security_intel_water_security_p_bfac0687,
  title        = {{World Bank water security panel (renewable endowment + water stress)}},
  author       = {{World Bank water-security intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/fr/datasets/wb_water_security_intel/water_security_panel?snapshot=20261008T101549Z-bfac06874402}},
  note         = {Snapshot 20261008T101549Z-bfac06874402, sha256 bfac0687440282c3ff1fa65ea02b4c1b9d04190a3fca17e3680f6f6789a14778; accessed 2026-10-08}
}

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HTML

<iframe src="https://datazimuts.com/embed/chart?dataset=wb_water_security_intel%2Fwater_security_panel&lang=fr&theme=auto&snapshot=20261008T101549Z-bfac06874402&x=year&y=year&agg=avg" title="World Bank water security panel (renewable endowment + water stress)" width="100%" height="380" style="border:0" loading="lazy"></iframe>