scientificair qualityPM2.5pollutionenvironmenthealthcitiesWHOIQAirglobal2025

Urban PM2.5 Air Quality

2025

Free

Open dataset

Sample structure: 100 / 100

4 download links issued

Seller: waseemahmad

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Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License: Not documented — confirm reuse terms with the seller
Source / creator: Supplier-cited: IQAir World Air Quality Report; WHO Air Quality Database
Collection method: Supplier description: Cross-national dataset of annual average PM2.5 concentrations across 80 major cities worldwide, sourced from the IQAir 2025 World Air Quality Report, WHO Ambient Air Quality Database, and regional monitoring networks. Covers all 6 inhabited continents with cities ranging from the most polluted (Byrnihat, India at 128.2 µg/m³) to the cleanest (Nieuwoudtville, South Africa at 1.0 µg/m³). Each record includes city, country, continent, PM2.5 annual average, WHO guideline compliance ratio, air quality category (Good/Moderate/Unhealthy/Very Unhealthy/Hazardous), estimated metro population, and primary pollution source. Useful for environmental research, public health analysis, urban planning, and climate policy studies.
Coverage / snapshot: 2025
Data last updated: Not documented
Update schedule: Not documented

Source documentation ↗

Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract. Other cited publishers: WHO Air Quality Database: https://www.who.int/data/gho/data/themes/air-pollution/who-air-quality-database

Sample structure score: 100 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

Check	Points	Evidence
Populated cells	50 / 50	100 of 100 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types	30 / 30	100 of 100 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape	20 / 20	10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.

Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

Field	Missing cells	Most common type	Other populated types
rank	0 / 10	number	0 / 10
city	0 / 10	string	0 / 10
country	0 / 10	string	0 / 10
continent	0 / 10	string	0 / 10
pm25_annual_avg_ugm3	0 / 10	number	0 / 10
who_guideline_ratio	0 / 10	number	0 / 10
air_quality_category	0 / 10	string	0 / 10
population_million	0 / 10	number	0 / 10
data_year	0 / 10	number	0 / 10
primary_pollution_source	0 / 10	string	0 / 10

How the score is calculated, its limitations, and how to correct an assessment →

About this data

Annual average PM2.5 concentrations across 80 major cities worldwide, sourced from IQAir 2025 World Air Quality Report and WHO Ambient Air Quality Database. Records include city, country, continent, PM2.5 concentration, WHO guideline compliance, air quality category, metro population estimate, and primary pollution source.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example

python3 retrieve-dataset.py b38f3d9c-777f-4c1c-af3a-ec4dbecddd30 --output dataset.bin

Full supplier documentation

Original supplier listing: Urban PM2.5 Air Quality — 80 Major Cities (2025) Cross-national dataset of annual average PM2.5 concentrations across 80 major cities worldwide, sourced from the IQAir 2025 World Air Quality Report, WHO Ambient Air Quality Database, and regional monitoring networks. Covers all 6 inhabited continents with cities ranging from the most polluted (Byrnihat, India at 128.2 µg/m³) to the cleanest (Nieuwoudtville, South Africa at 1.0 µg/m³). Each record includes city, country, continent, PM2.5 annual average, WHO guideline compliance ratio, air quality category (Good/Moderate/Unhealthy/Very Unhealthy/Hazardous), estimated metro population, and primary pollution source. Useful for environmental research, public health analysis, urban planning, and climate policy studies.

Schema

Name	Type	Description
rank	string
city	string
country	string
continent	string
pm25_annual_avg_ugm3	string
who_guideline_ratio	string
air_quality_category	string
population_million	string
data_year	string
primary_pollution_source	string

Sample Data

Preview a sample of the data before downloading.

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For AI Agents

Via MCP Server

# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Urban PM2.5 Air Quality" })
// Found: b38f3d9c-777f-4c1c-af3a-ec4dbecddd30
get_download_url({ dataset_id: "b38f3d9c-777f-4c1c-af3a-ec4dbecddd30" })  // free — sign in with MCP OAuth first

Via REST API

# Free dataset — sign in or use your account API key:
curl https://api.databazaar.io/datasets/b38f3d9c-777f-4c1c-af3a-ec4dbecddd30/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"