WASH services coverage by country, annual (UNICEF Data Warehouse)

Commercial use OKFreshLicense: CC-BY-3.0-IGO

The full snapshot isn't published yet — check back after the next refresh.Download sample CSV Download sample JSONSample rows only (up to 20) — not the complete dataset.

Annual WHO/UNICEF Joint Monitoring Programme estimates of three headline household WASH indicators for 120-163 countries, 2000-2024 (keyless UNICEF Data Warehouse SDMX, WASH Households dataflow): share of the population using safely managed drinking water (SDG 6.1.1) and safely managed sanitation (SDG 6.2.1a), plus the share with a basic handwashing facility at home (SDG 6.2.1b). The water/sanitation layer for development, public-health and country-risk models; joins on (country_code, year) with the catalog's other global panels. Annual modeled estimates, not survey points.

Source: UNICEF WASH-households intelligence
Rows: 9,425
Columns: 9
Source cadence: Yearly
Last refreshed: Oct 4, 2026
Theme: health

Column	Type	Description
country_code	string	ISO 3166-1 alpha-3 country code (UNICEF Data Warehouse field REF_AREA; regional aggregates dropped; XKX kept for Kosovo).
country	string	Country name from the catalog's canonical ISO3 mapper (+Kosovo override).
indicator	string	Canonical indicator slug: water_sm (SDG 6.1.1), sanitation_sm (SDG 6.2.1a), or hygiene_basic (SDG 6.2.1b).
indicator_label	string	Human-readable indicator definition.
year	integer	Estimate reference year (TIME_PERIOD); annual WHO/UNICEF Joint Monitoring Programme modeled estimates, 2000-2024.
value_pct	float	Share of the population for the indicator, percent. (unit: %)
data_source	string	Provenance label from the feed (constant: WHO/UNICEF Joint Monitoring Programme).
obs_status	string	Observation status flag (empty on all rows in this dataflow).
row_hash	string	Deterministic sha256(country_code\|indicator\|year) truncated to 12 hex chars; row identity key.

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

country_code	country	indicator	indicator_label	year	value_pct	data_source	obs_status	row_hash
ABW	Aruba	hygiene_basic	Population with basic handwashing facility at home (%)	2,013	98.607	WHO/UNICEF Joint Monitoring Programme ()	—	32ff9530cbc9
ABW	Aruba	hygiene_basic	Population with basic handwashing facility at home (%)	2,014	98.607	WHO/UNICEF Joint Monitoring Programme ()	—	8f827df0e85e
ABW	Aruba	hygiene_basic	Population with basic handwashing facility at home (%)	2,015	98.607	WHO/UNICEF Joint Monitoring Programme ()	—	a93ee01836cc
ABW	Aruba	hygiene_basic	Population with basic handwashing facility at home (%)	2,016	98.607	WHO/UNICEF Joint Monitoring Programme ()	—	9dc3485fd79e
ABW	Aruba	hygiene_basic	Population with basic handwashing facility at home (%)	2,017	98.607	WHO/UNICEF Joint Monitoring Programme ()	—	560b02f193bf
ABW	Aruba	hygiene_basic	Population with basic handwashing facility at home (%)	2,018	98.607	WHO/UNICEF Joint Monitoring Programme ()	—	000d5c9a6eb3
ABW	Aruba	hygiene_basic	Population with basic handwashing facility at home (%)	2,019	98.607	WHO/UNICEF Joint Monitoring Programme ()	—	59d3c885049a
ABW	Aruba	hygiene_basic	Population with basic handwashing facility at home (%)	2,020	98.607	WHO/UNICEF Joint Monitoring Programme ()	—	d16ac7a1aa69
ABW	Aruba	hygiene_basic	Population with basic handwashing facility at home (%)	2,021	98.607	WHO/UNICEF Joint Monitoring Programme ()	—	eef878779eb2
ABW	Aruba	hygiene_basic	Population with basic handwashing facility at home (%)	2,022	98.607	WHO/UNICEF Joint Monitoring Programme ()	—	5885a96b4ca7

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

cURL

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

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/unicef_wash_households_intel/unicef_wash_services_annual").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/unicef_wash_households_intel/unicef_wash_services_annual

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

Cite this snapshot

Pinned to snapshot 20261004T203555Z-f3c829e8e2ea and its content hash, so readers get exactly the data you used.

APA

UNICEF WASH-households intelligence. (2026). WASH services coverage by country, annual (UNICEF Data Warehouse) [Data set, snapshot 20261004T203555Z-f3c829e8e2ea, sha256 f3c829e8e2ea]. Datazimuts. Retrieved 2026-10-05, from https://datazimuts.com/en/datasets/unicef_wash_households_intel/unicef_wash_services_annual?snapshot=20261004T203555Z-f3c829e8e2ea

BibTeX

@misc{dz_unicef_wash_households_intel_unicef_wash_f3c829e8,
  title        = {{WASH services coverage by country, annual (UNICEF Data Warehouse)}},
  author       = {{UNICEF WASH-households intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/unicef_wash_households_intel/unicef_wash_services_annual?snapshot=20261004T203555Z-f3c829e8e2ea}},
  note         = {Snapshot 20261004T203555Z-f3c829e8e2ea, sha256 f3c829e8e2ea713c8b9d926c2fab5d6908ee60dac40645fdceb37ca9864cd341; accessed 2026-10-05}
}

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=unicef_wash_households_intel%2Funicef_wash_services_annual&lang=en&theme=auto&snapshot=20261004T203555Z-f3c829e8e2ea&x=year&y=year&agg=avg" title="WASH services coverage by country, annual (UNICEF Data Warehouse)" width="100%" height="380" style="border:0" loading="lazy"></iframe>

WASH services coverage by country, annual (UNICEF Data Warehouse)

Follow this dataset

Cite this snapshot

Embed a table or a chart

Use your own AI key