Concentrations of fine particulate matter (PM2.5)

Name: Concentrations of fine particulate matter (PM2.5)
Creator: WHO Global Health Observatory
License: https://www.who.int/about/policies/terms-of-use
Keywords: air-quality, pm25, pollution, who

Concentrations of fine particulate matter (PM2.5) Source: WHO Global Health Observatory (indicator SDGPM25). Rows are country x year; sex-disaggregated rows carry a sex label.

Source: WHO Global Health Observatory14,896 rowsUpdated: 9/21/2026

air-qualitypm25pollutionwho

Quality

Attribution

World Health Organization (WHO)

Schema

Column	Type	Description
country_code	string	Country code (WHO GHO API field SpatialDim, country-level rows only).
country_name	string	Country name from the WHO GHO COUNTRY dimension labels.
year	integer	Year of observation (WHO GHO API field TimeDim).
value	float	Estimate value for the country, year (and sex where present), as defined by the WHO GHO indicator (see the dataset description; WHO GHO API field NumericValue).
low	float	Lower bound of the published uncertainty interval (WHO GHO API field Low). Only present when the indicator publishes uncertainty intervals.
high	float	Upper bound of the published uncertainty interval (WHO GHO API field High). Only present when the indicator publishes uncertainty intervals.

Sample rows

country_code	country_name	year	value	low	high
ABW	ABW	2010	18.648557294	8.775280741	39.542685204
ABW	ABW	2010	18.463674308	8.775280741	39.542685204
ABW	ABW	2010	17.802681399	8.581371448	35.257839472
ABW	ABW	2010	18.463674308	8.775280741	39.542685204
ABW	ABW	2011	16.949142504	8.376614013	37.174765363

Use with an LLM

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

cURL

curl "https://datazimuts.com/v1/datasets/who_gho/pm25_concentration" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/who_gho/pm25_concentration").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/who_gho/pm25_concentration

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