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 1055 counties in 2010, at 40%. Yukon-Koyukuk Census Area had the lowest, at 0%. The median was 0.9%. Source: EPA.

Keep it in a collection in your library.
Median0.91055 counties

Map of counties, 2010

%, 2010. 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, 2010

Riverside County: 40 %Riverside County40San Bernardino County: 37 %San Bernardino County37Kern County: 34.2 %Kern County34.2Los Angeles County: 31.2 %Los Angeles County31.2Tulare County: 30.7 %Tulare County30.7Fresno County: 23.8 %Fresno County23.8Kings County: 22.7 %Kings County22.7Clear Creek County: 21.9 %Clear Creek County21.9Allegheny County: 16.7 %Allegheny County16.7Harford County: 15.6 %Harford County15.6Imperial County: 14 %Imperial County14Missoula County: 12.9 %Missoula County12.9Uintah County: 12.9 %Uintah County12.9Pinal County: 11.2 %Pinal County11.2Merced County: 10.7 %Merced County10.7Harris County: 10.4 %Harris County10.4Stanislaus County: 10.4 %Stanislaus County10.4Carroll County: 9.9 %Carroll County9.9Fairbanks North Star Borough: 9.9 %Fairbanks North Star Borough9.9Prince George's County: 9.7 %Prince George's County9.7District of Columbia: 9.6 %District of Columbia9.6Baltimore County: 9.4 %Baltimore County9.4San Luis Obispo County: 9.3 %San Luis Obispo County9.3St. Charles County: 9.2 %St. Charles County9.2Franklin County: 9.1 %Franklin County9.1Clark County: 9 %Clark County9Cuyahoga County: 9 %Cuyahoga County9Mercer County: 9 %Mercer County9New Castle County: 9 %New Castle County9Hamilton County: 8.5 %Hamilton County8.5Inyo County: 8.5 %Inyo County8.5Ashtabula County: 8.4 %Ashtabula County8.4Frederick County: 8.4 %Frederick County8.4Blount County: 8.2 %Blount County8.2Jefferson County: 8.2 %Jefferson County8.2Placer County: 8.2 %Placer County8.2Maricopa County: 7.9 %Maricopa County7.9Butler County: 7.7 %Butler County7.7Lancaster County: 7.7 %Lancaster County7.7Madera County: 7.7 %Madera County7.7Riverside County: 40 %Riverside County40San Bernardino County: 37 %San Bernardino County37Kern County: 34.2 %Kern County34.2Los Angeles County: 31.2 %Los Angeles County31.2Tulare County: 30.7 %Tulare County30.7Fresno County: 23.8 %Fresno County23.8Kings County: 22.7 %Kings County22.7Clear Creek County: 21.9 %Clear Creek County21.9Allegheny County: 16.7 %Allegheny County16.7Harford County: 15.6 %Harford County15.6Imperial County: 14 %Imperial County14Missoula County: 12.9 %Missoula County12.9Uintah County: 12.9 %Uintah County12.9Pinal County: 11.2 %Pinal County11.2Merced County: 10.7 %Merced County10.7Harris County: 10.4 %Harris County10.4Stanislaus County: 10.4 %Stanislaus County10.4Carroll County: 9.9 %Carroll County9.9Fairbanks North Star Borough: 9.9 %Fairbanks North Star Borough9.9Prince George's County: 9.7 %Prince George's County9.7District of Columbia: 9.6 %District of Columbia9.6Baltimore County: 9.4 %Baltimore County9.4San Luis Obispo County: 9.3 %San Luis Obispo County9.3St. Charles County: 9.2 %St. Charles County9.2Franklin County: 9.1 %Franklin County9.1Clark County: 9 %Clark County9Cuyahoga County: 9 %Cuyahoga County9Mercer County: 9 %Mercer County9New Castle County: 9 %New Castle County9Hamilton County: 8.5 %Hamilton County8.5Inyo County: 8.5 %Inyo County8.5Ashtabula County: 8.4 %Ashtabula County8.4Frederick County: 8.4 %Frederick County8.4Blount County: 8.2 %Blount County8.2Jefferson County: 8.2 %Jefferson County8.2Placer County: 8.2 %Placer County8.2Maricopa County: 7.9 %Maricopa County7.9Butler County: 7.7 %Butler County7.7Lancaster County: 7.7 %Lancaster County7.7Madera County: 7.7 %Madera County7.7
%. Source: Invokely calculation with data from EPA. Retrieved 2026-10-12.

Full ranking

RankCounties2010 (%)Change on 2009
1Riverside County40-0.5 pts
2San Bernardino County37-1.4 pts
3Kern County34.2-12.1 pts
4Los Angeles County31.2-1.1 pts
5Tulare County30.7-5.7 pts
6Fresno County23.8-8 pts
7Kings County22.7-4.1 pts
8Clear Creek County21.9+21.9 pts
9Allegheny County16.7+7.7 pts
10Harford County15.6+10.6 pts
11Imperial County14-0.2 pts
12Missoula County12.9+7.7 pts
12Uintah County12.9+12.1 pts
14Pinal County11.2-6.6 pts
15Merced County10.7-2.9 pts
16Harris County10.4+2.5 pts
16Stanislaus County10.4-8 pts
18Carroll County9.9+9.4 pts
18Fairbanks North Star Borough9.9-3.1 pts
20Prince George's County9.7+8.6 pts
21District of Columbia9.6+7.1 pts
22Baltimore County9.4+6.9 pts
23San Luis Obispo County9.3+1.4 pts
24St. Charles County9.2+7.3 pts
25Franklin County9.1+5.3 pts
26Clark County9+3 pts
26Cuyahoga County9+7.1 pts
26Mercer County9+7.4 pts
26New Castle County9+7.1 pts
30Hamilton County8.5+6.3 pts
30Inyo County8.5+2.5 pts
32Ashtabula County8.4+6.1 pts
32Frederick County8.4+7 pts
34Blount County8.2+7.7 pts
34Jefferson County8.2+6.6 pts
34Placer County8.2-1.9 pts
37Maricopa County7.9+1.6 pts
38Butler County7.7+4.4 pts
38Lancaster County7.7+6.6 pts
38Madera County7.7+0.6 pts
38Philadelphia County7.7+5.5 pts
38Sacramento County7.7-9.6 pts
43Arlington County7.4+6.6 pts
43Middlesex County7.4+7.1 pts
43Sevier County7.4+6 pts
46Clearfield County7.3+5.8 pts
46Sumner County7.3+6.1 pts
48Ocean County7.2+5.5 pts
49Berks County7.1+5.2 pts
49Jefferson County7.1+4.4 pts
49Jefferson County7.1+5.5 pts
49Madison County7.1+5.2 pts
49Mariposa County7.1-2.2 pts
54Sussex County6.9+6.1 pts
55El Dorado County6.8-4.2 pts
55San Diego County6.8-6.6 pts
55Stark County6.8+6.3 pts
55Suffolk County6.8+4.9 pts
59Bucks County6.6+4.4 pts
59Camden County6.6+5.2 pts
59Chester County6.6+5.5 pts
59Cook County6.6+1.4 pts
59Hamilton County6.6+5.8 pts
59Hanover County6.6+6.1 pts
59Hunterdon County6.6+5.8 pts
59Mecklenburg County6.6+4.4 pts
59Montgomery County6.6+5.8 pts
59Northampton County6.6+5.8 pts
59Oldham County6.6+6.2 pts
59Weber County6.6+2.2 pts
71Indiana County6.5+5.6 pts
72Fairfax County6.3+4.9 pts
72Forsyth County6.3+5.5 pts
72Jefferson County6.3+3.6 pts
72Salt Lake County6.3-3.8 pts
72Sheboygan County6.3+4.2 pts
72Shoshone County6.3+2.7 pts
78Cecil County6.2+3.9 pts
78Jefferson County6.2+5.4 pts
80Charles County6.1+5.2 pts
80Graham County6.1+5.6 pts
82Mono County6+1.6 pts
82Nevada County6-3.9 pts
82Richmond County6+3 pts
85Brazoria County5.8+2.8 pts
85Gloucester County5.8+4.7 pts
85Jefferson County5.8+5.3 pts
85Larimer County5.8+3.6 pts
85Montgomery County5.8+3.9 pts
85Rowan County5.8+3.6 pts
91Calvert County5.7+4.7 pts
92Anne Arundel County5.6+4.7 pts
92Clinton County5.6+3.7 pts
92Lincoln County5.6+5.1 pts
95Cache County5.5-2.2 pts
95Lehigh County5.5+4.9 pts
95York County5.5+4.1 pts
98Franklin County5.2+3.8 pts
98Guilford County5.2+4.1 pts
98Kent County5.2+4.2 pts
98Montgomery County5.2+4.3 pts
98Person County5.2+4.7 pts
103Berkeley County5+5 pts
103Spartanburg County5+4.7 pts
105Cobb County4.9+3.5 pts
105Iberville Parish4.9+2.7 pts
105Summit County4.9+3.8 pts
105Tarrant County4.9-4.7 pts
105Tehama County4.9-6.8 pts
105Ventura County4.9-6.1 pts
111East Baton Rouge Parish4.7+0.3 pts
111Essex County4.7+4.4 pts
111Fulton County4.7+1.7 pts
111Lake County4.7+3.9 pts
111Licking County4.7+3.3 pts
111Suffolk city4.7+4.7 pts
111Tioga County4.7+4.7 pts
111Washington County4.7+4.7 pts
119Lawrence County4.6+3.8 pts
120Clark County4.5+4.2 pts
120Macomb County4.5+2 pts
120Meigs County4.5+3.7 pts
120St. Clair County4.5+2.8 pts
124Bergen County4.4+0.8 pts
124Chautauqua County4.4+3.6 pts
124Crittenden County4.4+3.3 pts
124El Paso County4.4+1.4 pts
124Hamilton County4.4+3.6 pts
124Hamilton County4.4+2.2 pts
124Lake County4.4+1.9 pts
124Muscatine County4.4+2.8 pts
124Shelby County4.4+3.3 pts
124St. Louis County4.4+3.3 pts
134Clinton County4.2+2.8 pts
134Greene County4.2+3.7 pts
134Kenosha County4.2+2 pts
134Monroe County4.2+4.2 pts
134Rockingham County4.2+3.7 pts
139Bossier Parish4.1+2.2 pts
139Clermont County4.1+3.3 pts
139Dallas County4.1-2.2 pts
139Hawaii County4.1-2.5 pts
139Lemhi County4.1+2.4 pts
139Shasta County4.1+1.9 pts
139Wayne County4.1+1.1 pts
146Knox County4+3.4 pts
147Kent County3.9+3.9 pts
147Lewis and Clark County3.9+3.1 pts
147Silver Bow County3.9+2.3 pts
150Alexandria city3.8+3.8 pts
150Boone County3.8+3.2 pts
150Delaware County3.8+2.9 pts
150Dukes County3.8+1.8 pts
150Galveston County3.8+2.1 pts
150Garrett County3.8+3.5 pts
150Lincoln County3.8+3.8 pts
150Madison County3.8+3.3 pts
150Milwaukee County3.8+1.6 pts
150Orange County3.8+2.2 pts
150Utah County3.8-2.2 pts
150Westchester County3.8+1.1 pts
150Williamson County3.8+3.4 pts
150Wilson County3.8+3.8 pts
164Davie County3.7+3.7 pts
164Door County3.7+1.6 pts
164Douglas County3.7+1.8 pts
164Douglas County3.7+1.3 pts
164Geauga County3.7+2.3 pts
164Haywood County3.7+3.7 pts
164Stafford County3.7+3.7 pts
171Butte County3.6-5.2 pts
171Calaveras County3.6-4.9 pts
171Clay County3.6+0.9 pts
171Greene County3.6+3 pts
171Hampton city3.6+3.6 pts
171Hudson County3.6+2.2 pts
171Marion County3.6+1.7 pts
171San Joaquin County3.6-3 pts
171Santa Cruz County3.6+3 pts
171Washington County3.6+3.6 pts
181Noble County3.5+2.9 pts
181Passaic County3.5+2.8 pts
183Loudon County3.4+3 pts
184Adams County3.3+2.8 pts
184Alexander County3.3+3.3 pts
184Allen County3.3+1.6 pts
184Ascension Parish3.3+2.2 pts
184Boulder County3.3+0.6 pts
184Dauphin County3.3+1.4 pts
184Dawson County3.3+2.9 pts
184Denton County3.3-4.6 pts
184Doña Ana County3.3-0.5 pts
184Hancock County3.3+2.9 pts
184Henrico County3.3+3 pts
184Lorain County3.3+2.9 pts
184Mercer County3.3+1.7 pts
184Muskegon County3.3+1.6 pts
184Perry County3.3+2.8 pts
184Perry County3.3+1.4 pts
184Santa Clara County3.3+0.6 pts
184Sedgwick County3.3+1.7 pts
184Warrick County3.3+2.8 pts
184Washington County3.3+1.7 pts
184Yancey County3.3+3.3 pts
205Murray County3.2+2.5 pts
205Union County3.2+2.2 pts
207Effingham County3.1+2.7 pts
207Racine County3.1+0.8 pts
209Amador County3+2.7 pts
209Baltimore city3+1.6 pts
209Bexar County3+0.8 pts
209Box Elder County3+0.9 pts
209Bronx County3+0.8 pts
209Caddo Parish3+2.2 pts
209Cumberland County3+1.9 pts
209DeKalb County3+0.3 pts
209Floyd County3+3 pts
209Jefferson Parish3+1.1 pts
209Kewaunee County3+0.9 pts
209Lake County3+1.6 pts
209Loudoun County3+3 pts
209Queens County3+2.5 pts
209Warren County30 pts
224Anderson County2.9+2.9 pts
224Andrew County2.9+2.9 pts
224Clark County2.9-0.1 pts
224Manitowoc County2.9+0.9 pts
224Rutherford County2.9+2.9 pts
224Simpson County2.9+2.1 pts
224Worcester County2.9+2.9 pts
231Bullitt County2.8+2.8 pts
231Caroline County2.8+2.8 pts
231Christian County2.8+2.4 pts
231Granville County2.8+1.4 pts
231Harrison County2.8+1.2 pts
231Henderson County2.8+1.7 pts
231Jefferson County2.8+1.9 pts
231Pointe Coupee Parish2.8+1.4 pts
231Rockdale County2.8+1.9 pts
231St. Charles Parish2.8+2 pts
231St. Joseph County2.8+1.7 pts
231Westmoreland County2.8+1.9 pts
243Beaver County2.7+2.7 pts
243Bell County2.7+2.7 pts
243Benzie County2.7+1.1 pts
243Cambria County2.7+2.4 pts
243Chesterfield County2.7+2.7 pts
243Clinton County2.7+1.6 pts
243Davis County2.7-0.6 pts
243Garfield County2.7+2.7 pts

Showing the top 250 of 1055. 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. 443 counties with data in other periods have no value for 2010 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), 2010) [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), 2010. 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=2010. 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), 2010. 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=2010.

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), 2010 [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=2010 (Accessed: 12 October 2026).

BibTeX
@misc{environmental_us_counties_by_share_2010,
  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), 2010}},
  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=2010. 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), 2010
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=2010
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/unhealthy-air-quality-days-share/us-counties?period=2010.
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  - 
Embed this chart

Paste this code into a web page or a blog post. The chart shows the latest figures as they are published, with the source and a link back to this page.

Sites that read oEmbed links, such as WordPress, can show the chart when you paste the link to this page.

Use this data in your AI agent

Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:

Rank US counties by share of days unhealthy for sensitive groups or worse (US EPA AQI) using official data, and cite the source.
rank_places {"indicator":"aqi_unhealthy_sensitive_or_worse_days_share","level":"province","within":"United States","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=aqi_unhealthy_sensitive_or_worse_days_share&level=province&within=United%20States&limit=10

Connect Claude, ChatGPT or Cursor in one step. The trial answers 25 calls a day without an account.

Questions

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

Riverside County, with 40% in 2010, 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 2010.

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. 443 counties have no value for 2010 and are not ranked.

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

US counties: more rankings