Counties in Florida by share of days unhealthy for sensitive groups or worse (US EPA AQI)

Columbia County had the highest share of days unhealthy for sensitive groups or worse (US EPA AQI) of 39 counties in 2020, at 1%. Volusia County had the lowest, at 0%. The median was 0%. Source: EPA.

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Median039 counties

Map of counties, 2020

Alachua County: 0.3 %Baker County: 0.6 %Bay County: 0.6 %Brevard County: 0 %Broward County: 0.5 %Citrus County: 0.3 %Collier County: 0 %Columbia County: 1 %Duval County: 0.8 %Escambia County: 0 %Flagler County: 0 %Hamilton County: 0.7 %Highlands County: 0 %Hillsborough County: 0.8 %Holmes County: 0.8 %Indian River County: 0 %Lake County: 0 %Lee County: 0 %Leon County: 0.8 %Liberty County: 0 %Manatee County: 0 %Marion County: 0 %Martin County: 0 %Miami-Dade County: 0 %Nassau County: 0 %Okaloosa County: 0 %Orange County: 0 %Osceola County: 0 %Palm Beach County: 0 %Pasco County: 0 %Pinellas County: 0 %Polk County: 0 %Putnam County: 0 %St. Lucie County: 0 %Santa Rosa County: 0 %Sarasota County: 0 %Seminole County: 0 %Volusia County: 0 %Wakulla County: 0.6 %
  • Under 0.6
  • 0.6 and over
  • No data
%, 2020. Hatched areas have no value for this period. Source: Invokely calculation with data from EPA. Boundaries: U.S. Census Bureau cartographic boundary files.

All counties, 2020

Columbia County: 1 %Columbia County1Duval County: 0.8 %Duval County0.8Hillsborough County: 0.8 %Hillsborough County0.8Holmes County: 0.8 %Holmes County0.8Leon County: 0.8 %Leon County0.8Hamilton County: 0.7 %Hamilton County0.7Baker County: 0.6 %Baker County0.6Bay County: 0.6 %Bay County0.6Wakulla County: 0.6 %Wakulla County0.6Broward County: 0.5 %Broward County0.5Alachua County: 0.3 %Alachua County0.3Citrus County: 0.3 %Citrus County0.3Brevard County: 0 %Brevard County0Collier County: 0 %Collier County0Escambia County: 0 %Escambia County0Flagler County: 0 %Flagler County0Highlands County: 0 %Highlands County0Indian River County: 0 %Indian River County0Lake County: 0 %Lake County0Lee County: 0 %Lee County0Liberty County: 0 %Liberty County0Manatee County: 0 %Manatee County0Marion County: 0 %Marion County0Martin County: 0 %Martin County0Miami-Dade County: 0 %Miami-Dade County0Nassau County: 0 %Nassau County0Okaloosa County: 0 %Okaloosa County0Orange County: 0 %Orange County0Osceola County: 0 %Osceola County0Palm Beach County: 0 %Palm Beach County0Pasco County: 0 %Pasco County0Pinellas County: 0 %Pinellas County0Polk County: 0 %Polk County0Putnam County: 0 %Putnam County0Santa Rosa County: 0 %Santa Rosa County0Sarasota County: 0 %Sarasota County0Seminole County: 0 %Seminole County0St. Lucie County: 0 %St. Lucie County0Volusia County: 0 %Volusia County0Columbia County: 1 %Columbia County1Duval County: 0.8 %Duval County0.8Hillsborough County: 0.8 %Hillsborough County0.8Holmes County: 0.8 %Holmes County0.8Leon County: 0.8 %Leon County0.8Hamilton County: 0.7 %Hamilton County0.7Baker County: 0.6 %Baker County0.6Bay County: 0.6 %Bay County0.6Wakulla County: 0.6 %Wakulla County0.6Broward County: 0.5 %Broward County0.5Alachua County: 0.3 %Alachua County0.3Citrus County: 0.3 %Citrus County0.3Brevard County: 0 %Brevard County0Collier County: 0 %Collier County0Escambia County: 0 %Escambia County0Flagler County: 0 %Flagler County0Highlands County: 0 %Highlands County0Indian River County: 0 %Indian River County0Lake County: 0 %Lake County0Lee County: 0 %Lee County0Liberty County: 0 %Liberty County0Manatee County: 0 %Manatee County0Marion County: 0 %Marion County0Martin County: 0 %Martin County0Miami-Dade County: 0 %Miami-Dade County0Nassau County: 0 %Nassau County0Okaloosa County: 0 %Okaloosa County0Orange County: 0 %Orange County0Osceola County: 0 %Osceola County0Palm Beach County: 0 %Palm Beach County0Pasco County: 0 %Pasco County0Pinellas County: 0 %Pinellas County0Polk County: 0 %Polk County0Putnam County: 0 %Putnam County0Santa Rosa County: 0 %Santa Rosa County0Sarasota County: 0 %Sarasota County0Seminole County: 0 %Seminole County0St. Lucie County: 0 %St. Lucie County0Volusia County: 0 %Volusia County0
%. Source: Invokely calculation with data from EPA. Retrieved 2026-10-12.

Full ranking

RankCounties2020 (%)Change on 2019
1Columbia County1+1 pts
2Duval County0.8+0.5 pts
2Hillsborough County0.8-0.6 pts
2Holmes County0.8+0.8 pts
2Leon County0.8+0.5 pts
6Hamilton County0.7+0.7 pts
7Baker County0.6+0.6 pts
7Bay County0.6+0.6 pts
7Wakulla County0.6+0.6 pts
10Broward County0.5+0.5 pts
11Alachua County0.3+0.3 pts
11Citrus County0.3+0.3 pts
13Brevard County00 pts
13Collier County00 pts
13Escambia County0-0.3 pts
13Flagler County00 pts
13Highlands County00 pts
13Indian River County00 pts
13Lake County0-0.3 pts
13Lee County0-0.3 pts
13Liberty County00 pts
13Manatee County0-0.5 pts
13Marion County00 pts
13Martin County00 pts
13Miami-Dade County0-0.6 pts
13Nassau County00 pts
13Okaloosa County00 pts
13Orange County00 pts
13Osceola County0-1.1 pts
13Palm Beach County00 pts
13Pasco County00 pts
13Pinellas County00 pts
13Polk County00 pts
13Putnam County00 pts
13Santa Rosa County00 pts
13Sarasota County00 pts
13Seminole County0-0.3 pts
13St. Lucie County00 pts
13Volusia County00 pts

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. 3 counties with data in other periods have no value for 2020 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 (Counties in Florida by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2020) [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, Counties in Florida by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2020. 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/florida-counties?period=2020. 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. Counties in Florida by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2020. 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/florida-counties?period=2020.

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, Counties in Florida by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2020 [Dataset]. Available at: https://aqs.epa.gov/aqsweb/airdata/download_files.html#Annual, via Invokely: https://invokely.ai/rankings/unhealthy-air-quality-days-share/florida-counties?period=2020 (Accessed: 12 October 2026).

BibTeX
@misc{environmental_counties_in_florida_by_2020,
  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: Counties in Florida by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2020}},
  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/florida-counties?period=2020. 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: Counties in Florida by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2020
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/florida-counties?period=2020
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/unhealthy-air-quality-days-share/florida-counties?period=2020.
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 Counties in Florida 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)?

Columbia County, with 1% in 2020, according to EPA.

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

Volusia County, with 0% in 2020.

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. 3 counties have no value for 2020 and are not ranked.

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

Counties in Florida: more rankings