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

Hillsborough County had the highest share of days unhealthy for sensitive groups or worse (US EPA AQI) of 39 counties in 2016, at 0.8%. Volusia County had the lowest, at 0%. The median was 0%. Source: EPA.

Keep it in a collection in your library.
Median039 counties

Map of counties, 2016

Alachua County: 0.3 %Baker County: 0 %Bay County: 0 %Brevard County: 0 %Broward County: 0 %Citrus County: 0.3 %Collier County: 0 %Columbia County: 0 %Duval County: 0 %Escambia County: 0 %Flagler County: 0 %Hamilton County: 0 %Highlands County: 0 %Hillsborough County: 0.8 %Holmes County: 0 %Indian River County: 0 %Lake County: 0.3 %Lee County: 0.3 %Leon County: 0 %Liberty County: 0 %Manatee County: 0 %Marion County: 0.3 %Martin County: 0 %Miami-Dade County: 0.8 %Nassau County: 0 %Okaloosa County: 0 %Orange County: 0 %Osceola County: 0 %Palm Beach County: 0.8 %Pasco County: 0.3 %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 0.1
  • 0.1 and over
  • No data
%, 2016. 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, 2016

Hillsborough County: 0.8 %Hillsborough County0.8Miami-Dade County: 0.8 %Miami-Dade County0.8Palm Beach County: 0.8 %Palm Beach County0.8Wakulla County: 0.6 %Wakulla County0.6Alachua County: 0.3 %Alachua County0.3Citrus County: 0.3 %Citrus County0.3Lake County: 0.3 %Lake County0.3Lee County: 0.3 %Lee County0.3Marion County: 0.3 %Marion County0.3Pasco County: 0.3 %Pasco County0.3Baker County: 0 %Baker County0Bay County: 0 %Bay County0Brevard County: 0 %Brevard County0Broward County: 0 %Broward County0Collier County: 0 %Collier County0Columbia County: 0 %Columbia County0Duval County: 0 %Duval County0Escambia County: 0 %Escambia County0Flagler County: 0 %Flagler County0Hamilton County: 0 %Hamilton County0Highlands County: 0 %Highlands County0Holmes County: 0 %Holmes County0Indian River County: 0 %Indian River County0Leon County: 0 %Leon County0Liberty County: 0 %Liberty County0Manatee County: 0 %Manatee County0Martin County: 0 %Martin County0Nassau County: 0 %Nassau County0Okaloosa County: 0 %Okaloosa County0Orange County: 0 %Orange County0Osceola County: 0 %Osceola 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 County0Hillsborough County: 0.8 %Hillsborough County0.8Miami-Dade County: 0.8 %Miami-Dade County0.8Palm Beach County: 0.8 %Palm Beach County0.8Wakulla County: 0.6 %Wakulla County0.6Alachua County: 0.3 %Alachua County0.3Citrus County: 0.3 %Citrus County0.3Lake County: 0.3 %Lake County0.3Lee County: 0.3 %Lee County0.3Marion County: 0.3 %Marion County0.3Pasco County: 0.3 %Pasco County0.3Baker County: 0 %Baker County0Bay County: 0 %Bay County0Brevard County: 0 %Brevard County0Broward County: 0 %Broward County0Collier County: 0 %Collier County0Columbia County: 0 %Columbia County0Duval County: 0 %Duval County0Escambia County: 0 %Escambia County0Flagler County: 0 %Flagler County0Hamilton County: 0 %Hamilton County0Highlands County: 0 %Highlands County0Holmes County: 0 %Holmes County0Indian River County: 0 %Indian River County0Leon County: 0 %Leon County0Liberty County: 0 %Liberty County0Manatee County: 0 %Manatee County0Martin County: 0 %Martin County0Nassau County: 0 %Nassau County0Okaloosa County: 0 %Okaloosa County0Orange County: 0 %Orange County0Osceola County: 0 %Osceola 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

RankCounties2016 (%)Change on 2015
1Hillsborough County0.8+0.5 pts
1Miami-Dade County0.8+0.8 pts
1Palm Beach County0.8+0.8 pts
4Wakulla County0.6+0.6 pts
5Alachua County0.3+0.3 pts
5Citrus County0.3+0.3 pts
5Lake County0.3+0.3 pts
5Lee County0.3+0.3 pts
5Marion County0.3+0.3 pts
5Pasco County0.3+0.3 pts
11Baker County00 pts
11Bay County00 pts
11Brevard County00 pts
11Broward County0-0.3 pts
11Collier County00 pts
11Columbia County00 pts
11Duval County0-0.3 pts
11Escambia County00 pts
11Flagler County00 pts
11Hamilton County00 pts
11Highlands County00 pts
11Holmes County00 pts
11Indian River County00 pts
11Leon County00 pts
11Liberty County00 pts
11Manatee County00 pts
11Martin County00 pts
11Nassau County00 pts
11Okaloosa County00 pts
11Orange County0-0.3 pts
11Osceola County00 pts
11Pinellas County00 pts
11Polk County0-0.3 pts
11Putnam County00 pts
11Santa Rosa County00 pts
11Sarasota County0-0.3 pts
11Seminole County00 pts
11St. Lucie County00 pts
11Volusia 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 2016 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), 2016) [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), 2016. 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=2016. 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), 2016. 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=2016.

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), 2016 [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=2016 (Accessed: 12 October 2026).

BibTeX
@misc{environmental_counties_in_florida_by_2016,
  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), 2016}},
  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=2016. 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), 2016
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=2016
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/unhealthy-air-quality-days-share/florida-counties?period=2016.
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 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}
GET https://invokely.ai/api/v1/rank?indicator=aqi_unhealthy_sensitive_or_worse_days_share&level=province&within=Florida&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)?

Hillsborough County, with 0.8% in 2016, 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 2016.

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 2016 and are not ranked.

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

Counties in Florida: more rankings