Air Quality Measures on the National Environmental Health Tracking Network
data.cdc.gov | Last Updated 5 Jun 2018The Environmental Protection Agency (EPA) provides air pollution data about ozone and particulate matter (PM2.5) to CDC for the Tracking Network. The EPA maintains a database called the Air Quality System (AQS) which contains data from approximately 4,000 monitoring stations around the country, mainly in urban areas. Data from the AQS is considered the "gold standard" for determining outdoor air pollution. However, AQS data are limited because the monitoring stations are usually in urban areas or cities and because they only take air samples for some air pollutants every three days or during times of the year when air pollution is very high. CDC and EPA have worked together to develop a statistical model (Downscaler) to make modeled predictions available for environmental public health tracking purposes in areas of the country that do not have monitors and to fill in the time gaps when monitors may not be recording data. This data does not include "Percent of population in counties exceeding NAAQS (vs. population in counties that either meet the standard or do not monitor PM2.5)". Please visit the Tracking homepage for this information.View additional information for indicator definitions and documentation by selecting Content Area "Air Quality" and the respective indicator at the following website: http://ephtracking.cdc.gov/showIndicatorsData.action
This dataset has the following 14 columns:
Column Name | API Column Name | Data Type | Description | Sample Values |
---|---|---|---|---|
MeasureId | measureid | number | Unique identifier for Measure Name used within the Environmental Health Tracking Network | 296 292 293 294 295 view top 100 |
MeasureName | measurename | text | Unique name created by National Environmental Health Tracking Network to identify and clearly describe data presented | Number of days with maximum 8-hour average ozone concentration over the National Ambient Air Quality Standard (monitor and modeled data) Annual average ambient concentrations of PM 2.5 in micrograms per cubic meter, based on seasonal averages and daily measurement (monitor and modeled data) Number of person-days with maximum 8-hour average ozone concentration over the National Ambient Air Quality Standard (monitor and modeled data) Number of person-days with PM2.5 over the National Ambient Air Quality Standard (monitor and modeled data) Percent of days with PM2.5 levels over the National Ambient Air Quality Standard (monitor and modeled data) view top 100 |
MeasureType | measuretype | text | Type of data value being captured (e.g. Average, Count, Prevalence, etc.) | Counts Percent Average view top 100 |
StratificationLevel | stratificationlevel | text | Geogrpahic resolution by which data is captured and presented | State x County view top 100 |
StateFips | statefips | text | Unique two-digit numeric code assigned to each state in the United States. | 48 13 51 21 37 view top 100 |
StateName | statename | text | Name of state in the United States. | Texas Georgia Virginia Kentucky North Carolina view top 100 |
CountyFips | countyfips | text | Unique five-digit code assigned to each county in the United States. The first two digits are the state FIPS code and the last three digits correspond to the county within that state. | 10005 21019 12033 39153 18003 view top 100 |
CountyName | countyname | text | Name of county within the state | Washington Jefferson Jackson Franklin Madison view top 100 |
ReportYear | reportyear | text | Data report year | 2003 2002 2004 2005 2001 view top 100 |
Value | value | number | Data value specific to data measure in the stratified geography | 0 1 0.27397260273972601 2 3 view top 100 |
Unit | unit | text | Shorthand unit name for the specific measure | No Units % µg/m³ view top 100 |
UnitName | unitname | text | Long unit name for the specific measure | No Units Percent Micograms per cubic meter view top 100 |
DataOrigin | dataorigin | text | Indicates if the data is monitor only (AQS data), or if it is monitor and modeled (with Downscaler modeled predictions for counties and days without monitoring data) | Monitor & Modeled Monitor Only view top 100 |
MonitorOnly | monitoronly | number | Flags if data is Monitor only, compared to monitor and modeled data. | 0 1 view top 100 |