State Table Notes
Notes for all state grades tables.
- Not all counties have monitors for either ozone or particle pollution. If a county does not have a monitor, that county's name is not on the list in these tables. The decision about monitors in the county is made by the state and the U.S. Environmental Protection Agency, not by the American Lung Association.
- INC (Incomplete) indicates that monitoring is underway for that pollutant in that county, but that the data are incomplete for all three years. For particle pollution, some states collected data, but experienced laboratory quality issues that meant the data could not be used for assessing pollution levels.
- DNC (Data Not Collected) indicates that data on that particular pollutant is not collected in that county.
- The Weighted Average (Wgt. Avg) was derived by adding the three years of individual level data (2014-2016), multiplying the sums of each level by the assigned standard weights (i.e. 1=orange, 1.5=red, 2.0=purple and 2.5=maroon) and calculating the average. Grades are assigned based on the weighted averages as follows: A=0.0, B=0.3-0.9, C=1.0-2.0, D=2.1-3.2, F=3.3+.
- The Design Value is the calculated concentration of a pollutant based on the form of the National Ambient Air Quality Standard, and is used by EPA to determine whether the air quality in a county meets the standard. The numbers refer to micrograms per cubic meter, or µg/m3. Design values for the annual PM2.5 concentrations by county for the period 2014-2016 came from data posted on July 26, 2017, through EPA's website. The 2014-2016 design values were compared to the 2012 National Ambient Air Quality Standard for Annual PM2.5, particularly to the EPA's assessment of data quality required, as discussed on EPA's website here. Many design values are missing because state data did not meet quality requirements.
- The annual average National Ambient Air Quality Standard for PM2.5 is 12 µg/m3 as of December 14, 2012. Counties with design values of 12 or lower received a grade of "Pass." Counties with design values of 12.1 or higher received a grade of "Fail."
Notes for all state data tables
- Total Population is based on 2016 U.S. Census and represents the at-risk populations in counties with ozone or PM2.5 pollution monitors; it does not represent the entire state's sensitive populations.
- Those 18 & under and 65 & over are vulnerable to ozone and PM2.5. Do not use them as population denominators for disease estimates—that will lead to incorrect estimates.
- Pediatric asthma estimates are for those under 18 years of age and represent the estimated number of people who had asthma in 2016 based on the state rates when available or national rates when not (Behavioral Risk Factor Surveillance System, or BRFSS), applied to county population estimates (U.S. Census).
- Adult asthma estimates are for those 18 years and older and represent the estimated number of people who had asthma during 2016 based on state rates (BRFSS) applied to county population estimates (U.S. Census).
- COPD estimates are for adults 18 and over who had ever been diagnosed with chronic obstructive pulmonary disease, which includes chronic bronchitis and emphysema, based on state rates (BRFSS) applied to county population estimates (U.S. Census).
- Lung cancer estimates are for all ages and represent the estimated number of people diagnosed with lung cancer in 2014 based on state rates (StateCancerProfiles.gov) applied to county population estimates (U.S. Census).
- Cardiovascular disease estimates are for adults 18 and over who have been diagnosed within their lifetime, based on state rates (BRFSS) applied to county population estimates (U.S. Census). CV disease includes coronary heart disease, stroke and heart attack.
- Diabetes estimates are for adults 18 and over who have been diagnosed within their lifetime based on state rates (BRFSS) applied to county population estimates (U.S. Census).
- Poverty estimates include all ages and come from the U.S. Census Bureau's Small Area Income and Poverty Estimates program. The estimates are derived from a model using estimates of income or poverty from the Annual Social and Economic Supplement and the Current Population Survey, 2016.
- Adding across rows does not produce valid estimates. Adding the at risk categories (asthma, COPD, poverty, etc.) will double-count people who fall into more than one category.