Air Quality and Pollution Assessment with Environmental and Demographic Features

5000 samples of air quality data across various regions. The dataset captures environmental metrics like temperature and pollutant concentrations alongside demographic factors such as population density. It was created by Mujtaba Mateen and is derived from sources including the World Health Organization and World Bank.

Use Cases

• Predicting air quality levels based on pollutant concentrations like PM2.5 and NO2.
• Analyzing the relationship between proximity to industrial areas and pollution levels.
• Modeling the influence of demographic factors such as population density on air quality.
• Classifying regions into air quality categories from Good to Hazardous using environmental metrics.

Strengths

• Contains 5000 samples for modeling.
• Includes 10 key features covering environmental and demographic factors.
• Target variable provides a clear 4-level classification for air quality.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.
• Geographic and temporal coverage are not specified, which may limit generalizability.

Provenance

Source

World Health Organization, World Bank Data, Kaggle

Collection Method

Derived from several real-world sources that monitor air quality and environmental factors.

Time Range

null

Freshness

null

Geography

Various regions (unspecified)