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Historical Air Quality Data for United States Cities
Data Science and Analytics
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About
Daily Air Quality Index (AQI) measurements are provided from monitoring stations across the United States, starting from 1980. The AQI is the main metric for air quality, with values from 0 (perfectly healthy) to 500 (extremely hazardous). These values are calculated from key pollutants including PM2.5, PM10, Ozone, Carbon Monoxide, Sulfur Dioxide, and Nitrogen Dioxide. The data is aggregated to give daily average AQI values and includes geographical and demographic details for each measurement location. It is updated monthly, making it a valuable resource for time-series analysis and environmental research.
Columns
- CBSA Code: The core-based statistical area (CBSA) code, a US geographic area defined by the Office of Management and Budget.
- Date: The specific day the measurement was recorded.
- AQI: The average Air Quality Index value for the day.
- Category: The air quality classification for the day, ranging from "Good" to "Hazardous".
- Defining Parameter: The pollutant with the highest concentration for that day (e.g., PM2.5, Ozone).
- Number of Sites Reporting: The count of monitoring stations used for the data aggregation.
- city_ascii: The name of the city where the measurement was taken.
- state_id: The two-letter abbreviation for the state.
- state_name: The full name of the state.
- lat: The latitude of the measurement location.
- lng: The longitude of the measurement location.
- population: The population of the region where the measurement was taken.
- density: The population density (per square kilometre) of the measurement area.
- timezone: The time zone of the measurement location.
Distribution
- Format: CSV file (
US_AQI.csv). - Size: 640.96 MB.
- Structure: The dataset is tabular and contains approximately 5.72 million rows and 15 columns.
Usage
This dataset is ideal for a variety of applications, including:
- Time Series Analysis: Analysing long-term trends in air quality across different regions.
- Environmental Research: Studying the impact of pollutants on public health and the environment.
- Regression Modelling: Predicting AQI values based on location, population, and other parameters.
- Public Health Studies: Investigating correlations between air quality and health outcomes in different demographics.
- Policy Making: Informing environmental policies and regulations at local and national levels.
Coverage
- Geographic: Covers cities and regions across the United States.
- Time Range: Contains daily records from 1 January 1980 to 31 May 2022.
- Demographic: Includes population and population density data for the measurement regions.
License
CC0: Public Domain
Who Can Use It
- Environmental Scientists: To research pollution patterns and atmospheric conditions.
- Data Analysts and Scientists: For predictive modelling and trend analysis.
- Public Health Researchers: To study the effects of air quality on community health.
- Government Agencies and Policy Makers: For environmental monitoring and policy development.
- Urban Planners: To assess environmental factors in urban development projects.
Dataset Name Suggestions
- US Daily Air Quality Index (AQI) Data 1980-Present
- Historical Air Quality Data for United States Cities
- United States Environmental Pollutant and AQI Records
- Longitudinal Air Quality and Pollution Dataset (USA)
- US City-Level Daily AQI Measurements
Attributes
Original Data Source: Historical Air Quality Data for United States Cities
QUALITY