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

Broward County had the highest share of days unhealthy for sensitive groups or worse (US EPA AQI) of 39 counties in 2017, at 1.4%. Wakulla County had the lowest, at 0%. The median was 0%. Source: EPA.

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Highest1.4Broward County
Median039 counties

Map of counties, 2017

Alachua County: 0 %Baker County: 0 %Bay County: 0 %Brevard County: 0 %Broward County: 1.4 %Citrus County: 0 %Collier County: 0 %Columbia County: 0 %Duval County: 0.3 %Escambia County: 0.8 %Flagler County: 0 %Hamilton County: 0 %Highlands County: 0 %Hillsborough County: 0.8 %Holmes County: 0 %Indian River County: 0.3 %Lake County: 0.5 %Lee County: 0 %Leon County: 0 %Liberty County: 0 %Manatee County: 0.5 %Marion County: 0.3 %Martin County: 0.3 %Miami-Dade County: 1.1 %Nassau County: 0 %Okaloosa County: 0 %Orange County: 0.5 %Osceola County: 0.6 %Palm Beach County: 0.6 %Pasco County: 0.6 %Pinellas County: 0.3 %Polk County: 1.1 %Putnam County: 0 %St. Lucie County: 0.3 %Santa Rosa County: 0 %Sarasota County: 0.6 %Seminole County: 0.6 %Volusia County: 0 %Wakulla County: 0 %
  • Under 0.4
  • 0.4 to 0.6
  • 0.6 and over
  • No data
%, 2017. 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, 2017

Broward County: 1.4 %Broward County1.4Miami-Dade County: 1.1 %Miami-Dade County1.1Polk County: 1.1 %Polk County1.1Escambia County: 0.8 %Escambia County0.8Hillsborough County: 0.8 %Hillsborough County0.8Osceola County: 0.6 %Osceola County0.6Palm Beach County: 0.6 %Palm Beach County0.6Pasco County: 0.6 %Pasco County0.6Sarasota County: 0.6 %Sarasota County0.6Seminole County: 0.6 %Seminole County0.6Lake County: 0.5 %Lake County0.5Manatee County: 0.5 %Manatee County0.5Orange County: 0.5 %Orange County0.5Duval County: 0.3 %Duval County0.3Indian River County: 0.3 %Indian River County0.3Marion County: 0.3 %Marion County0.3Martin County: 0.3 %Martin County0.3Pinellas County: 0.3 %Pinellas County0.3St. Lucie County: 0.3 %St. Lucie County0.3Alachua County: 0 %Alachua County0Baker County: 0 %Baker County0Bay County: 0 %Bay County0Brevard County: 0 %Brevard County0Citrus County: 0 %Citrus County0Collier County: 0 %Collier County0Columbia County: 0 %Columbia County0Flagler County: 0 %Flagler County0Hamilton County: 0 %Hamilton County0Highlands County: 0 %Highlands County0Holmes County: 0 %Holmes County0Lee County: 0 %Lee County0Leon County: 0 %Leon County0Liberty County: 0 %Liberty County0Nassau County: 0 %Nassau County0Okaloosa County: 0 %Okaloosa County0Putnam County: 0 %Putnam County0Santa Rosa County: 0 %Santa Rosa County0Volusia County: 0 %Volusia County0Wakulla County: 0 %Wakulla County0Broward County: 1.4 %Broward County1.4Miami-Dade County: 1.1 %Miami-Dade County1.1Polk County: 1.1 %Polk County1.1Escambia County: 0.8 %Escambia County0.8Hillsborough County: 0.8 %Hillsborough County0.8Osceola County: 0.6 %Osceola County0.6Palm Beach County: 0.6 %Palm Beach County0.6Pasco County: 0.6 %Pasco County0.6Sarasota County: 0.6 %Sarasota County0.6Seminole County: 0.6 %Seminole County0.6Lake County: 0.5 %Lake County0.5Manatee County: 0.5 %Manatee County0.5Orange County: 0.5 %Orange County0.5Duval County: 0.3 %Duval County0.3Indian River County: 0.3 %Indian River County0.3Marion County: 0.3 %Marion County0.3Martin County: 0.3 %Martin County0.3Pinellas County: 0.3 %Pinellas County0.3St. Lucie County: 0.3 %St. Lucie County0.3Alachua County: 0 %Alachua County0Baker County: 0 %Baker County0Bay County: 0 %Bay County0Brevard County: 0 %Brevard County0Citrus County: 0 %Citrus County0Collier County: 0 %Collier County0Columbia County: 0 %Columbia County0Flagler County: 0 %Flagler County0Hamilton County: 0 %Hamilton County0Highlands County: 0 %Highlands County0Holmes County: 0 %Holmes County0Lee County: 0 %Lee County0Leon County: 0 %Leon County0Liberty County: 0 %Liberty County0Nassau County: 0 %Nassau County0Okaloosa County: 0 %Okaloosa County0Putnam County: 0 %Putnam County0Santa Rosa County: 0 %Santa Rosa County0Volusia County: 0 %Volusia County0Wakulla County: 0 %Wakulla County0
%. Source: Invokely calculation with data from EPA. Retrieved 2026-10-12.

Full ranking

RankCounties2017 (%)Change on 2016
1Broward County1.4+1.4 pts
2Miami-Dade County1.1+0.3 pts
2Polk County1.1+1.1 pts
4Escambia County0.8+0.8 pts
4Hillsborough County0.80 pts
6Osceola County0.6+0.6 pts
6Palm Beach County0.6-0.2 pts
6Pasco County0.6+0.3 pts
6Sarasota County0.6+0.6 pts
6Seminole County0.6+0.6 pts
11Lake County0.5+0.2 pts
11Manatee County0.5+0.5 pts
11Orange County0.5+0.5 pts
14Duval County0.3+0.3 pts
14Indian River County0.3+0.3 pts
14Marion County0.30 pts
14Martin County0.3+0.3 pts
14Pinellas County0.3+0.3 pts
14St. Lucie County0.3+0.3 pts
20Alachua County0-0.3 pts
20Baker County00 pts
20Bay County00 pts
20Brevard County00 pts
20Citrus County0-0.3 pts
20Collier County00 pts
20Columbia County00 pts
20Flagler County00 pts
20Hamilton County00 pts
20Highlands County00 pts
20Holmes County00 pts
20Lee County0-0.3 pts
20Leon County00 pts
20Liberty County00 pts
20Nassau County00 pts
20Okaloosa County00 pts
20Putnam County00 pts
20Santa Rosa County00 pts
20Volusia County00 pts
20Wakulla County0-0.6 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 2017 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), 2017) [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), 2017. 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=2017. 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), 2017. 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=2017.

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), 2017 [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=2017 (Accessed: 12 October 2026).

BibTeX
@misc{environmental_counties_in_florida_by_2017,
  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), 2017}},
  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=2017. 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), 2017
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=2017
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/unhealthy-air-quality-days-share/florida-counties?period=2017.
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.
rank_places {"indicator":"aqi_unhealthy_sensitive_or_worse_days_share","level":"province","within":"Florida","limit":10}
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Questions

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

Broward County, with 1.4% in 2017, according to EPA.

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

Wakulla County, with 0% in 2017.

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 2017 and are not ranked.

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

Counties in Florida: more rankings