Indicator 11.6.2 - Annual mean levels of fine particulate matter (e.g. PM2.5 and PM10) in cities (population weighted)
Annual mean levels of PM2.5 in US cities weighted by population
Annual mean levels of PM2.5 in US cities weighted by population
Global Metadata
This table provides information on metadata for SDG indicators as defined by the United Nations Statistical Commission. Complete global metadata documentation on all indicators in Goal 11, unless otherwise noted, is provided by the UN Statistics Division.
| SDG Indicator Name | Annual mean levels of fine particulate matter (e.g. PM2.5 and PM10) in cities (population weighted) |
|---|---|
| SDG Target Addressed | By 2030, reduce the adverse per capita environmental impact of cities, including by paying special attention to air quality and municipal and other waste management. |
| Definition of SDG Indicator | |
| UN Designated Tier | 1 |
| UN Custodial Agency | WHO (Partnering Agencies: UN Habitat, UNEP, OECD) |
U.S. Metadata
This table provides metadata for the actual indicator available from U.S. statistics closest to the corresponding global SDG indicator. Please note that even when the global SDG indicator is fully available from U.S. statistics, this table should be consulted for information on national methodology and other US-specific metadata information
| Method of computation for global SDG indicator | |
|---|---|
| Graph Title | Annual mean levels of PM2.5 in US cities weighted by population |
| Actual indicator available | Annual mean levels of PM2.5 and PM10 in cities weighted by population |
| Description of actual indicator available | |
| Method of computation | Steps for computing the indicator: 1. Retrieved monitor-level annual mean values from EPA's Air Quality System. (These annual means are the average of the four calendar quarter averages. At least 11 24-hour observations in each calendar quarter is required for the annual mean to be valid. Otherwise it is invalid and not used.) 2. The highest annual mean among all monitors in each city (using Core Based Statistical Areas as defined by the United States Census Bureau) was computed to represent each city. 3. For each city, multiplied the maximum annual mean by the 2010 population. 4. Summed this population-weighted annual mean across all cities with data. 5. Divided this sum by the sum of all cities with data. 6. Resulting value is an average population-weighted concentration. |
| Comments and limitations | Note that a constant population (2010) was used. Note that the number of cities that have data can vary from year to year. |
| Periodicity | annual |
| Time Period | 2000 to most recent complete year of data. PM data for a given year is considered final May 1 of the following year. |
| Unit of measure | micrograms per cubic meter |
| Disaggregation #1 (Industry or social categories) | |
| Disaggregation #2 (Geographical coverage) | |
| Date of public data release from National source | 2017-07-31 |
| Date of last Update of This Page | 2017-10-11 |
| Scheduled Update by National source | 2018-07-31 |
| Scheduled Update by SDG Team | 2018-09-30 |
| Data Source1 (Agency STAFF NAME) | David Mintz |
| Data Source2 (Staff E-MAIL) | mintz.david@epa.gov |
| Data Source3 (Agency/Survey/Dataset name) | United States Environmental Protection Agency |
| Indicator web address (closest to data provided) | https://www.epa.gov/air-trends/air-quality-cities-and-counties |
| International and National References |