Concentrations of Particulate Matter less than 10 microns (PM10) provide urban-population weighted estimates of average annual exposure in residential areas of cities with over 100,000 residents. The dataset covers countries, regions, and income groups, with estimates based on the Global Model of Ambient Particulates (GMAPS). It was produced by researchers Kiren Dev Pandey, David Wheeler, Bart Ostro, Uwe Deichmann, Kirk Hamilton, and Katherine Bolt for the World Bank in 2006.
Use Cases
- Model the relationship between a country's income group and its estimated PM10 concentration for policy impact studies.
- Analyze geographic patterns in urban PM10 exposure levels across different world regions.
- Correlate estimated PM10 concentrations with urban population data to assess total population exposure risk.
- Use country-level PM10 estimates as a feature for cross-national studies on respiratory health outcomes.
Strengths
- Data is urban-population weighted, providing exposure estimates relevant to city residents.
- Covers a global scope, including countries, regions, and income groups.
- Estimates are specifically for residential areas in cities with more than 100,000 people.
Limitations
- Data is from a 2006 publication and may not reflect current pollution levels.
- Estimates are modeled (GMAPS) rather than direct, comprehensive sensor measurements.
- Limited to PM10 and does not include other pollutants like PM2.5 or gases.
Provenance
- Source
- World Bank, Development Research Group and Environment Department.
- Collection Method
- Modeled estimates from the Global Model of Ambient Particulates (GMAPS), urban-population weighted for city residential areas.
- Time Range
- Estimates circa 2006 publication.
- Freshness
- 2006
- Geography
- Global, covering countries, regions, and income groups.