US counties by share of days unhealthy for sensitive groups or worse (US EPA AQI)

Riverside County had the highest share of days unhealthy for sensitive groups or worse (US EPA AQI) of 1047 counties in 2011, at 42.5%. Yukon-Koyukuk Census Area had the lowest, at 0%. The median was 1.1%. Source: EPA.

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Highest42.5Riverside County
Median1.11047 counties

Map of counties, 2011

%, 2011. Hatched areas have no value for this period. Source: Invokely calculation with data from EPA. Boundaries: U.S. Census Bureau cartographic boundary files.

Top 40 counties, 2011

Riverside County: 42.5 %Riverside County42.5Tulare County: 40.5 %Tulare County40.5San Bernardino County: 40.3 %San Bernardino County40.3Kern County: 38.4 %Kern County38.4Fresno County: 33.7 %Fresno County33.7Los Angeles County: 33.2 %Los Angeles County33.2Pinal County: 31.5 %Pinal County31.5Kings County: 22.5 %Kings County22.5Madera County: 21.4 %Madera County21.4Stanislaus County: 19.5 %Stanislaus County19.5Sacramento County: 18.9 %Sacramento County18.9Clear Creek County: 18.3 %Clear Creek County18.3Maricopa County: 17.8 %Maricopa County17.8Merced County: 16.6 %Merced County16.6Trinity County: 15.7 %Trinity County15.7Missoula County: 15.6 %Missoula County15.6Clark County: 13.4 %Clark County13.4Denton County: 12.9 %Denton County12.9Inyo County: 12.6 %Inyo County12.6Harris County: 12.3 %Harris County12.3Tarrant County: 12.3 %Tarrant County12.3Tulsa County: 12.3 %Tulsa County12.3San Joaquin County: 11.8 %San Joaquin County11.8Allegheny County: 11.5 %Allegheny County11.5El Dorado County: 11.5 %El Dorado County11.5Oklahoma County: 11.2 %Oklahoma County11.2Carter County: 11.1 %Carter County11.1Placer County: 10.7 %Placer County10.7Jefferson County: 10.4 %Jefferson County10.4Jefferson County: 10.4 %Jefferson County10.4Clinton County: 10.3 %Clinton County10.3St. Charles County: 10.2 %St. Charles County10.2Harford County: 9.5 %Harford County9.5Rockdale County: 9.3 %Rockdale County9.3San Diego County: 9.3 %San Diego County9.3Jefferson County: 9.1 %Jefferson County9.1Blount County: 9 %Blount County9Imperial County: 9 %Imperial County9Larimer County: 9 %Larimer County9Oldham County: 9 %Oldham County9Riverside County: 42.5 %Riverside County42.5Tulare County: 40.5 %Tulare County40.5San Bernardino County: 40.3 %San Bernardino County40.3Kern County: 38.4 %Kern County38.4Fresno County: 33.7 %Fresno County33.7Los Angeles County: 33.2 %Los Angeles County33.2Pinal County: 31.5 %Pinal County31.5Kings County: 22.5 %Kings County22.5Madera County: 21.4 %Madera County21.4Stanislaus County: 19.5 %Stanislaus County19.5Sacramento County: 18.9 %Sacramento County18.9Clear Creek County: 18.3 %Clear Creek County18.3Maricopa County: 17.8 %Maricopa County17.8Merced County: 16.6 %Merced County16.6Trinity County: 15.7 %Trinity County15.7Missoula County: 15.6 %Missoula County15.6Clark County: 13.4 %Clark County13.4Denton County: 12.9 %Denton County12.9Inyo County: 12.6 %Inyo County12.6Harris County: 12.3 %Harris County12.3Tarrant County: 12.3 %Tarrant County12.3Tulsa County: 12.3 %Tulsa County12.3San Joaquin County: 11.8 %San Joaquin County11.8Allegheny County: 11.5 %Allegheny County11.5El Dorado County: 11.5 %El Dorado County11.5Oklahoma County: 11.2 %Oklahoma County11.2Carter County: 11.1 %Carter County11.1Placer County: 10.7 %Placer County10.7Jefferson County: 10.4 %Jefferson County10.4Jefferson County: 10.4 %Jefferson County10.4Clinton County: 10.3 %Clinton County10.3St. Charles County: 10.2 %St. Charles County10.2Harford County: 9.5 %Harford County9.5Rockdale County: 9.3 %Rockdale County9.3San Diego County: 9.3 %San Diego County9.3Jefferson County: 9.1 %Jefferson County9.1Blount County: 9 %Blount County9Imperial County: 9 %Imperial County9Larimer County: 9 %Larimer County9Oldham County: 9 %Oldham County9
%. Source: Invokely calculation with data from EPA. Retrieved 2026-10-12.

Full ranking

RankCounties2011 (%)Change on 2010
1Riverside County42.5+2.5 pts
2Tulare County40.5+9.8 pts
3San Bernardino County40.3+3.3 pts
4Kern County38.4+4.2 pts
5Fresno County33.7+9.9 pts
6Los Angeles County33.2+2 pts
7Pinal County31.5+20.3 pts
8Kings County22.5-0.2 pts
9Madera County21.4+13.7 pts
10Stanislaus County19.5+9.1 pts
11Sacramento County18.9+11.2 pts
12Clear Creek County18.3-3.6 pts
13Maricopa County17.8+9.9 pts
14Merced County16.6+5.9 pts
15Trinity County15.7+15.7 pts
16Missoula County15.6+2.7 pts
17Clark County13.4+4.4 pts
18Denton County12.9+9.6 pts
19Inyo County12.6+4.1 pts
20Harris County12.3+1.9 pts
20Tarrant County12.3+7.4 pts
20Tulsa County12.3+10.4 pts
23San Joaquin County11.8+8.2 pts
24Allegheny County11.5-5.2 pts
24El Dorado County11.5+4.7 pts
26Oklahoma County11.2+8.7 pts
27Carter County11.1+11.1 pts
28Placer County10.7+2.5 pts
29Jefferson County10.4+2.2 pts
29Jefferson County10.4+3.3 pts
31Clinton County10.3+6.1 pts
32St. Charles County10.2+1 pts
33Harford County9.5-6.1 pts
34Rockdale County9.3+6.5 pts
34San Diego County9.3+2.5 pts
36Jefferson County9.1+8.4 pts
37Blount County9+0.8 pts
37Imperial County9-5 pts
37Larimer County9+3.2 pts
37Oldham County9+2.4 pts
41Collin County8.9+7.5 pts
42Fairbanks North Star Borough8.8-1.1 pts
42Mecklenburg County8.8+2.2 pts
42Uintah County8.8-4.1 pts
45Brazoria County8.5+2.7 pts
45Hamilton County8.50 pts
47Doña Ana County8.2+4.9 pts
47Salt Lake County8.2+1.9 pts
49Kay County8.1+8.1 pts
50Parker County8+7.5 pts
50Prince George's County8-1.7 pts
52Garfield County7.9+5.2 pts
52Jefferson County7.9+1.6 pts
54Clinton County7.8+2.2 pts
55Bernalillo County7.7+6.3 pts
55Bossier Parish7.7+3.6 pts
55Mariposa County7.7+0.6 pts
58Cotton County7.6n/a
59Mayes County7.5+7.1 pts
60Dallas County7.4+3.3 pts
61Baltimore County7.2-2.2 pts
62Fulton County7.1+2.4 pts
62Madison County7.10 pts
64Butler County6.9-0.8 pts
64Sheboygan County6.9+0.6 pts
66Cass County6.8+5.1 pts
66Cuyahoga County6.8-2.2 pts
66Jefferson County6.8-0.3 pts
66McClain County6.8+6.5 pts
70Calvert County6.7+1 pts
70Oakland County6.7+4.6 pts
70Union County6.7+3.5 pts
73Butte County6.6+3 pts
73Canadian County6.6+5.5 pts
73Gregg County6.6+3.9 pts
73Madison County6.6+2.8 pts
73Pittsburg County6.6+6.3 pts
73Rowan County6.6+0.8 pts
79Anne Arundel County6.4+0.8 pts
79LaPorte County6.4+5.2 pts
81Arapahoe County6.3+4.4 pts
81Dorchester County6.3+3.8 pts
81Duchesne County6.3n/a
81Osage County6.3+6 pts
81Sevier County6.3-1.1 pts
81Shelby County6.3+1.9 pts
81Wake County6.3+3.8 pts
88Cleveland County6.1+5.8 pts
88Douglas County6.1+2.4 pts
90Bexar County6+3 pts
90Clay County6+2.4 pts
90Creek County6+5.4 pts
90East Baton Rouge Parish6+1.3 pts
90Marion County6+2.4 pts
90Weber County6-0.6 pts
96Greene County5.9+2.3 pts
97Cherokee County5.8+4.1 pts
97Clark County5.8+1.3 pts
97Iberville Parish5.8+0.9 pts
97Jasper County5.8+4.2 pts
97Macomb County5.8+1.3 pts
97Nevada County5.8-0.2 pts
97Richland County5.8+4.2 pts
97Sedgwick County5.8+2.5 pts
97St. Louis city5.8+4.2 pts
97Sutter County5.8+4.7 pts
107Lincoln County5.6+1.8 pts
108El Paso County5.5+1.1 pts
108Henry County5.5+4.1 pts
108Lake County5.5+5 pts
108Lancaster County5.5-2.2 pts
108Philadelphia County5.5-2.2 pts
108Pima County5.5+4.1 pts
114Caddo County5.4+5.1 pts
114Cobb County5.4+0.5 pts
116Charles County5.3-0.8 pts
117Arlington County5.2-2.2 pts
117Escambia County5.2+3 pts
117McLennan County5.2+4.7 pts
117San Luis Obispo County5.2-4.1 pts
117Smith County5.2+3.6 pts
117Suffolk city5.2+0.5 pts
123Gloucester County5.1-0.7 pts
123Pickens County5.1+3.4 pts
123Warren County5.1+2.1 pts
126Floyd County5+2 pts
126Shoshone County5-1.3 pts
128Berrien County4.9+2.8 pts
128Caddo Parish4.9+1.9 pts
128Comanche County4.9+4.4 pts
128DeKalb County4.9+1.9 pts
128Douglas County4.9+1.2 pts
128Hanover County4.9-1.7 pts
128Harrison County4.9+2.4 pts
128Lincoln County4.9-0.7 pts
128Mono County4.9-1.1 pts
128New Castle County4.9-4.1 pts
128Perry County4.9+1.6 pts
128Pulaski County4.9+2.7 pts
128St. Louis County4.9+0.5 pts
128Sumner County4.9-2.4 pts
128Warrick County4.9+1.6 pts
128Wayne County4.9+0.8 pts
144Clermont County4.7+0.6 pts
144Crittenden County4.7+0.3 pts
144Gwinnett County4.7+3.3 pts
144Jersey County4.7+3.2 pts
144Johnson County4.7+2.7 pts
144Montgomery County4.7-1.1 pts
144Richmond County4.7-1.3 pts
144Rockwall County4.7+3.3 pts
144Sublette County4.7+4.2 pts
144Suffolk County4.7-2.1 pts
144Sumner County4.7+2.8 pts
155Kent County4.6-0.6 pts
155Lebanon County4.6n/a
155Lenawee County4.6+4.1 pts
155Shelby County4.6+2.1 pts
159Loudon County4.5+1.1 pts
159Shelby County4.5+4.5 pts
161Boulder County4.4+1.1 pts
161Camden County4.4-2.2 pts
161Cook County4.4-2.2 pts
161Dewey County4.4+3.9 pts
161District of Columbia4.4-5.2 pts
161Fairfax County4.4-1.9 pts
161Gila County4.4+3.6 pts
161Lane County4.4+3 pts
161Middlesex County4.4-3 pts
161Montgomery County4.4-0.8 pts
161Ottawa County4.4+3.6 pts
161Sussex County4.4-2.5 pts
161Ventura County4.4-0.5 pts
174Carroll County4.3-5.6 pts
175Frederick County4.2-4.2 pts
175Hays County4.2+1.8 pts
175Montgomery County4.2-2.4 pts
175Ocean County4.2-3 pts
175Wood County4.2+3.3 pts
180Bergen County4.1-0.3 pts
180Clark County4.1+1.2 pts
180Ellis County4.1+2.7 pts
180Hunterdon County4.1-2.5 pts
180La Paz County4.1+2.2 pts
180Montgomery County4.1+2.4 pts
180Pitkin County4.1+2.4 pts
180Plumas County4.1+1.7 pts
180Posey County4.1+2.4 pts
180St. Tammany Parish4.1+2.7 pts
180Tehama County4.1-0.8 pts
191Kenosha County4-0.2 pts
192Chaffee County3.9+1.6 pts
192Delaware County3.9+1.4 pts
192Essex County3.9-0.8 pts
192Henrico County3.9+0.6 pts
192Klamath County3.9+2.8 pts
192Morgan County3.9+3.9 pts
192Yuma County3.9+1.7 pts
199Adair County3.8+3.3 pts
199Ashtabula County3.8-4.6 pts
199Baltimore city3.8+0.8 pts
199Bibb County3.8+2.7 pts
199Campbell County3.8+1.9 pts
199Clarke County3.8+2.4 pts
199Dauphin County3.8+0.5 pts
199Daviess County3.8+1.9 pts
199Franklin County3.8-1.4 pts
199Hillsborough County3.8+1.1 pts
199Orange County3.8+1.6 pts
199Paulding County3.8+1.9 pts
199Pend Oreille County3.8+3.8 pts
199Travis County3.8+1.6 pts
213Allegan County3.7+1.7 pts
213Licking County3.7-1 pts
213St. Clair County3.7-0.8 pts
216Adams County3.6+3.6 pts
216Bucks County3.6-3 pts
216Forsyth County3.6-2.7 pts
216Hampden County3.6+0.9 pts
216Hudson County3.60 pts
216Lake County3.6-0.8 pts
216Manitowoc County3.6+0.7 pts
216Mercer County3.6-5.4 pts
216Navarro County3.6+3.3 pts
216Polk County3.6+1.1 pts
216Queens County3.6+0.6 pts
216Racine County3.6+0.5 pts
216San Juan County3.6+0.9 pts
216Spartanburg County3.6-1.4 pts
216York County3.6-1.9 pts
231Fond du Lac County3.5+3 pts
231Kalamazoo County3.5+3.1 pts
233Anderson County3.4+0.5 pts
233Cecil County3.4-2.8 pts
233Columbia County3.4+3 pts
233Graham County3.4-2.7 pts
233Greene County3.4+2.3 pts
233Hancock County3.4+0.1 pts
233Ozaukee County3.4+1 pts
233Tuolumne County3.4+1.2 pts
241Andrew County3.3+0.4 pts
241Bell County3.3+1.6 pts
241Brewster County3.3+3.3 pts
241Davie County3.3-0.4 pts
241Delaware County3.3-0.5 pts
241Galveston County3.3-0.5 pts
241Genesee County3.3+2.1 pts
241Hamilton County3.3-3.3 pts
241Hunt County3.3+3 pts
241Jefferson County3.3-2.5 pts

Showing the top 250 of 1047. The Excel download has every row.

Other periods

About this ranking

Days with a daily Air Quality Index above 100 (unhealthy for sensitive groups, unhealthy, very unhealthy or hazardous) as a percentage of the days of the year with an AQI in a US county. Calculated by Invokely from the day counts in the EPA AirData annual summaries; the counts are stored with each value.

Use the share rather than the number of days to compare counties, since the days with an AQI differ. United States counties with air quality monitors only, about 1,000 of some 3,100 in recent years; a county without monitors has no value. The number of days with an AQI differs between counties because some monitors run only in the ozone season.

Every value in the ranking comes from the same publisher and the same period, so the counties are compared on one definition. 451 counties with data in other periods have no value for 2011 and are left out rather than filled from another source. Equal values share a rank.

How to cite

U.S. Environmental Protection Agency, Air Quality System, AirData. EPA AirData annual AQI by county: days with an AQI above 100 as a share of days with an AQI, calculated with stored counts. https://aqs.epa.gov/aqsweb/airdata/download_files.html#Annual. Retrieved 2026-10-12.

Citation styles

The publisher is the author. Invokely is named only as the place the figures were read, where a style asks for it.

APA 7

U.S. Environmental Protection Agency. (2026). EPA AirData annual AQI by county: days with an AQI above 100 as a share of days with an AQI, calculated with stored counts (US counties by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2011) [Data set]. Retrieved October 12, 2026, from https://aqs.epa.gov/aqsweb/airdata/download_files.html#Annual

MLA 9

EPA AirData annual AQI by county: days with an AQI above 100 as a share of days with an AQI, calculated with stored counts, US counties by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2011. U.S. Environmental Protection Agency, 13 July 2026, https://aqs.epa.gov/aqsweb/airdata/download_files.html#Annual. Invokely, https://invokely.ai/rankings/unhealthy-air-quality-days-share/us-counties?period=2011. Accessed 12 Oct. 2026.

Chicago (author-date)

U.S. Environmental Protection Agency. 2026. EPA AirData annual AQI by county: days with an AQI above 100 as a share of days with an AQI, calculated with stored counts. US counties by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2011. Dataset. Accessed October 12, 2026. https://aqs.epa.gov/aqsweb/airdata/download_files.html#Annual. Also distributed by Invokely, https://invokely.ai/rankings/unhealthy-air-quality-days-share/us-counties?period=2011.

Harvard

U.S. Environmental Protection Agency (2026) EPA AirData annual AQI by county: days with an AQI above 100 as a share of days with an AQI, calculated with stored counts, US counties by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2011 [Dataset]. Available at: https://aqs.epa.gov/aqsweb/airdata/download_files.html#Annual, via Invokely: https://invokely.ai/rankings/unhealthy-air-quality-days-share/us-counties?period=2011 (Accessed: 12 October 2026).

BibTeX
@misc{environmental_us_counties_by_share_2011,
  author = {{U.S. Environmental Protection Agency}},
  title = {{EPA AirData annual AQI by county: days with an AQI above 100 as a share of days with an AQI, calculated with stored counts: US counties by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2011}},
  year = {2026},
  howpublished = {Data set},
  url = {https://aqs.epa.gov/aqsweb/airdata/download_files.html#Annual},
  urldate = {2026-10-12},
  note = {Accessed via Invokely, https://invokely.ai/rankings/unhealthy-air-quality-days-share/us-counties?period=2011. Publisher attribution: U.S. Environmental Protection Agency, Air Quality System, AirData. EPA AirData annual AQI by county: days with an AQI above 100 as a share of days with an AQI, calculated with stored counts. https://aqs.epa.gov/aqsweb/airdata/download\_files.html\#Annual. Retrieved 2026-10-12.},
}
RIS
TY  - DATA
AU  - U.S. Environmental Protection Agency
TI  - EPA AirData annual AQI by county: days with an AQI above 100 as a share of days with an AQI, calculated with stored counts: US counties by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2011
PY  - 2026
DA  - 2026/07/13
PB  - U.S. Environmental Protection Agency
DB  - Invokely
UR  - https://aqs.epa.gov/aqsweb/airdata/download_files.html#Annual
L2  - https://invokely.ai/rankings/unhealthy-air-quality-days-share/us-counties?period=2011
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/unhealthy-air-quality-days-share/us-counties?period=2011.
N1  - Publisher attribution: U.S. Environmental Protection Agency, Air Quality System, AirData. EPA AirData annual AQI by county: days with an AQI above 100 as a share of days with an AQI, calculated with stored counts. https://aqs.epa.gov/aqsweb/airdata/download_files.html#Annual. Retrieved 2026-10-12.
ER  - 
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Rank US counties by share of days unhealthy for sensitive groups or worse (US EPA AQI) using official data, and cite the source.
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Questions

Which county has the highest share of days unhealthy for sensitive groups or worse (US EPA AQI)?

Riverside County, with 42.5% in 2011, according to EPA.

Which county has the lowest share of days unhealthy for sensitive groups or worse (US EPA AQI)?

Yukon-Koyukuk Census Area, with 0% in 2011.

Where does this ranking come from?

Every value comes from one source and one period, so the places are comparable: U.S. Environmental Protection Agency, EPA AirData annual AQI by county: days with an AQI above 100 as a share of days with an AQI, calculated with stored counts. Retrieved 2026-10-12. 451 counties have no value for 2011 and are not ranked.

Share of days unhealthy for sensitive groups or worse (US EPA AQI): other rankings

US counties: more rankings