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

Sheboygan County had the highest share of days unhealthy for sensitive groups or worse (US EPA AQI) of 34 counties in 2005, at 13.9%. Taylor County had the lowest, at 0%. The median was 5.6%. Source: EPA.

Keep it in a collection in your library.
Highest13.9Sheboygan County
Median5.634 counties

Map of counties, 2005

Ashland County: 0 %Brown County: 4.9 %Columbia County: 7 %Dane County: 4.7 %Dodge County: 6.3 %Door County: 12.9 %Douglas County: 0 %Eau Claire County: 0 %Florence County: 1.7 %Fond du Lac County: 9.1 %Forest County: 1.4 %Grant County: 3.3 %Jefferson County: 9.2 %Kenosha County: 11.1 %Kewaunee County: 11.5 %La Crosse County: 0 %Manitowoc County: 10.5 %Marathon County: 3.2 %Milwaukee County: 8.8 %Oneida County: 2.2 %Outagamie County: 6.5 %Ozaukee County: 10.3 %Racine County: 10.8 %Rock County: 7.6 %St. Croix County: 1.7 %Sauk County: 3 %Sheboygan County: 13.9 %Taylor County: 0 %Vernon County: 2.5 %Vilas County: 2.4 %Walworth County: 11.8 %Washington County: 7 %Waukesha County: 7.7 %Waupaca County: 1.5 %
  • Under 1.4
  • 1.4 to 2.5
  • 2.5 to 5.6
  • 5.6 to 7.7
  • 7.7 to 11
  • 11 and over
  • No data
%, 2005. 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, 2005

Sheboygan County: 13.9 %Sheboygan County13.9Door County: 12.9 %Door County12.9Walworth County: 11.8 %Walworth County11.8Kewaunee County: 11.5 %Kewaunee County11.5Kenosha County: 11.1 %Kenosha County11.1Racine County: 10.8 %Racine County10.8Manitowoc County: 10.5 %Manitowoc County10.5Ozaukee County: 10.3 %Ozaukee County10.3Jefferson County: 9.2 %Jefferson County9.2Fond du Lac County: 9.1 %Fond du Lac County9.1Milwaukee County: 8.8 %Milwaukee County8.8Waukesha County: 7.7 %Waukesha County7.7Rock County: 7.6 %Rock County7.6Columbia County: 7 %Columbia County7Washington County: 7 %Washington County7Outagamie County: 6.5 %Outagamie County6.5Dodge County: 6.3 %Dodge County6.3Brown County: 4.9 %Brown County4.9Dane County: 4.7 %Dane County4.7Grant County: 3.3 %Grant County3.3Marathon County: 3.2 %Marathon County3.2Sauk County: 3 %Sauk County3Vernon County: 2.5 %Vernon County2.5Vilas County: 2.4 %Vilas County2.4Oneida County: 2.2 %Oneida County2.2Florence County: 1.7 %Florence County1.7St. Croix County: 1.7 %St. Croix County1.7Waupaca County: 1.5 %Waupaca County1.5Forest County: 1.4 %Forest County1.4Ashland County: 0 %Ashland County0Douglas County: 0 %Douglas County0Eau Claire County: 0 %Eau Claire County0La Crosse County: 0 %La Crosse County0Taylor County: 0 %Taylor County0Sheboygan County: 13.9 %Sheboygan County13.9Door County: 12.9 %Door County12.9Walworth County: 11.8 %Walworth County11.8Kewaunee County: 11.5 %Kewaunee County11.5Kenosha County: 11.1 %Kenosha County11.1Racine County: 10.8 %Racine County10.8Manitowoc County: 10.5 %Manitowoc County10.5Ozaukee County: 10.3 %Ozaukee County10.3Jefferson County: 9.2 %Jefferson County9.2Fond du Lac County: 9.1 %Fond du Lac County9.1Milwaukee County: 8.8 %Milwaukee County8.8Waukesha County: 7.7 %Waukesha County7.7Rock County: 7.6 %Rock County7.6Columbia County: 7 %Columbia County7Washington County: 7 %Washington County7Outagamie County: 6.5 %Outagamie County6.5Dodge County: 6.3 %Dodge County6.3Brown County: 4.9 %Brown County4.9Dane County: 4.7 %Dane County4.7Grant County: 3.3 %Grant County3.3Marathon County: 3.2 %Marathon County3.2Sauk County: 3 %Sauk County3Vernon County: 2.5 %Vernon County2.5Vilas County: 2.4 %Vilas County2.4Oneida County: 2.2 %Oneida County2.2Florence County: 1.7 %Florence County1.7St. Croix County: 1.7 %St. Croix County1.7Waupaca County: 1.5 %Waupaca County1.5Forest County: 1.4 %Forest County1.4Ashland County: 0 %Ashland County0Douglas County: 0 %Douglas County0Eau Claire County: 0 %Eau Claire County0La Crosse County: 0 %La Crosse County0Taylor County: 0 %Taylor County0
%. Source: Invokely calculation with data from EPA. Retrieved 2026-10-12.

Full ranking

RankCounties2005 (%)Change on 2004
1Sheboygan County13.9+7.9 pts
2Door County12.9+7.2 pts
3Walworth County11.8+11.3 pts
4Kewaunee County11.5+8.5 pts
5Kenosha County11.1+7.8 pts
6Racine County10.8+9.7 pts
7Manitowoc County10.5+7.6 pts
8Ozaukee County10.3+5.4 pts
9Jefferson County9.2+8.7 pts
10Fond du Lac County9.1+8.1 pts
11Milwaukee County8.8+4.4 pts
12Waukesha County7.7+5.7 pts
13Rock County7.6+6.1 pts
14Columbia County7+6.5 pts
14Washington County7+5.9 pts
16Outagamie County6.5+4.5 pts
17Dodge County6.3+4.1 pts
18Brown County4.9+3.7 pts
19Dane County4.7+3 pts
20Grant County3.3+1.5 pts
21Marathon County3.2+3.2 pts
22Sauk County3+2.7 pts
23Vernon County2.5+2.5 pts
24Vilas County2.4+2 pts
25Oneida County2.2+1.7 pts
26Florence County1.7+1.2 pts
26St. Croix County1.7+1.7 pts
28Waupaca County1.5+1.5 pts
29Forest County1.4+1.1 pts
30Ashland County00 pts
30Douglas County00 pts
30Eau Claire County00 pts
30La Crosse County0n/a
30Taylor 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. 14 counties with data in other periods have no value for 2005 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 Wisconsin by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2005) [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 Wisconsin by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2005. 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/wisconsin-counties?period=2005. 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 Wisconsin by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2005. 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/wisconsin-counties?period=2005.

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 Wisconsin by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2005 [Dataset]. Available at: https://aqs.epa.gov/aqsweb/airdata/download_files.html#Annual, via Invokely: https://invokely.ai/rankings/unhealthy-air-quality-days-share/wisconsin-counties?period=2005 (Accessed: 12 October 2026).

BibTeX
@misc{environmental_counties_in_wisconsin_by_2005,
  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 Wisconsin by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2005}},
  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/wisconsin-counties?period=2005. 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 Wisconsin by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2005
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/wisconsin-counties?period=2005
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/unhealthy-air-quality-days-share/wisconsin-counties?period=2005.
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 Wisconsin 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":"Wisconsin","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=aqi_unhealthy_sensitive_or_worse_days_share&level=province&within=Wisconsin&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)?

Sheboygan County, with 13.9% in 2005, according to EPA.

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

Taylor County, with 0% in 2005.

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. 14 counties have no value for 2005 and are not ranked.

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

Counties in Wisconsin: more rankings