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Global City Air Pollution Levels
Data Science and Analytics
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About
AirSense offers an in-depth analysis of the air quality index for global cities. Covering the period from 2017 through to 2022, this dataset provides a five-year overview of air pollution levels. It enables researchers, environmental enthusiasts, and policymakers to derive valuable insights into air quality trends and variations across diverse regions. By analysing this data, users can explore seasonal fluctuations, temporal patterns, and geographical disparities in air quality, supporting the development of targeted strategies for pollution mitigation and public health improvement.
Columns
The dataset contains 21 distinct columns, structured to provide detailed city and temporal information alongside monthly pollution metrics. Key fields include:
- Rank: The relative standing of the city based on air index.
- Countries: The nation where the city is located (e.g., USA, Japan).
- City: The specific city being monitored.
- Year: The annual data breakdown (2022, 2021, 2020, 2019, 2018, 2017).
- JAN - DEC: Monthly average air index measurements throughout the year.
Distribution
The data file is named
air_index.csv and is approximately 681.93 kB in size. The structure contains approximately 7,323 potential records. However, the completeness of the data varies significantly by year. For example, 2022 includes all 7,323 valid records, while 2017 only contains approximately 30% of those records, indicating substantial missing data in the earlier years.Usage
The data is suitable for investigating the impact of climate factors, urbanization, and industrial activities on global air pollution levels. Policy analysts can utilise derived insights to formulate pollution mitigation strategies. It is also highly useful for comparative city analysis and benchmarking environmental performance.
Coverage
The geographic scope includes cities worldwide. The primary country represented in the data is the USA, accounting for 40% of the entries, followed by Japan at 9%. The temporal coverage spans five years, from 2017 to 2022. Users should note the data availability differences, with data from 2017 and 2018 having substantially more missing values compared to 2021 and 2022.
License
CC0: Public Domain
Who Can Use It
- Environmental Studies Researchers: To investigate geographical and temporal air quality trends.
- Urban Planners: To inform sustainable development policies and urban design.
- Public Health Authorities: To assess pollution exposure risks and conduct health research.
- Policy Formulation Teams: To develop evidence-based policies for pollution control.
- Environmental Advocates: To raise public awareness and support cleaner air initiatives.
Dataset Name Suggestions
- AirSense Global City Index
- Worldwide City Air Quality Data 2017-2022
- Global City Air Pollution Levels
- Breathalytics: City Air Index
Attributes
Original Data Source: Global City Air Pollution Levels
QUALITY