World Air Pollution and AQI is a global air quality dataset for research and data analysis, designed to provide high-quality, continuous, and structured data without missing values for time series analysis, machine learning modeling, and environmental impact assessment. This dataset contains monthly city-level observational data from 2014 to 2025, totaling 331,920 records, covering 24 countries across 5 continents, including China, the United States, the United Kingdom, France, Germany, Japan, and South Korea. It includes 24 features: air pollutant concentrations (PM2.5, PM10, NOx, SO₂, CO, O₃, etc.), air quality index (AQI and its classification), meteorological variables (wind speed, humidity), and social environmental indicators (deforestation rate, industrial growth rate, CO₂ emissions, population density). The data simulates real-world environmental changes and is suitable for time series forecasting, cross-border air quality analysis, environmental modeling, development of smart city air monitoring systems, and research on the correlation of environmental influencing factors.

Citation

United States Air Quality Index Dataset (2014-2025) All 50 States & DC | 184 Cities | Monthly Observations (Jan 2014 – Dec 2025) Data modeled on published statistics from EPA, NOAA, Census Bureau, EIA, BEA, and USDA Forest Service.