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 2004, at 6%. Waupaca County had the lowest, at 0%. The median was 0.8%. Source: EPA.

Keep it in a collection in your library.
Median0.834 counties

Map of counties, 2004

Ashland County: 0 %Brown County: 1.2 %Columbia County: 0.5 %Dane County: 1.7 %Dodge County: 2.2 %Door County: 5.7 %Douglas County: 0 %Eau Claire County: 0 %Florence County: 0.5 %Fond du Lac County: 1 %Forest County: 0.3 %Grant County: 1.8 %Green County: 0.5 %Jefferson County: 0.5 %Kenosha County: 3.3 %Kewaunee County: 3 %Manitowoc County: 2.9 %Marathon County: 0 %Milwaukee County: 4.4 %Oneida County: 0.5 %Outagamie County: 2 %Ozaukee County: 4.9 %Racine County: 1.1 %Rock County: 1.5 %St. Croix County: 0 %Sauk County: 0.3 %Sheboygan County: 6 %Taylor County: 0 %Vernon County: 0 %Vilas County: 0.4 %Walworth County: 0.5 %Washington County: 1.1 %Waukesha County: 2 %Waupaca County: 0 %
  • Under 0.5
  • 0.5 to 0.8
  • 0.8 to 1.7
  • 1.7 to 3
  • 3 and over
  • No data
%, 2004. 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, 2004

Sheboygan County: 6 %Sheboygan County6Door County: 5.7 %Door County5.7Ozaukee County: 4.9 %Ozaukee County4.9Milwaukee County: 4.4 %Milwaukee County4.4Kenosha County: 3.3 %Kenosha County3.3Kewaunee County: 3 %Kewaunee County3Manitowoc County: 2.9 %Manitowoc County2.9Dodge County: 2.2 %Dodge County2.2Outagamie County: 2 %Outagamie County2Waukesha County: 2 %Waukesha County2Grant County: 1.8 %Grant County1.8Dane County: 1.7 %Dane County1.7Rock County: 1.5 %Rock County1.5Brown County: 1.2 %Brown County1.2Racine County: 1.1 %Racine County1.1Washington County: 1.1 %Washington County1.1Fond du Lac County: 1 %Fond du Lac County1Columbia County: 0.5 %Columbia County0.5Florence County: 0.5 %Florence County0.5Green County: 0.5 %Green County0.5Jefferson County: 0.5 %Jefferson County0.5Oneida County: 0.5 %Oneida County0.5Walworth County: 0.5 %Walworth County0.5Vilas County: 0.4 %Vilas County0.4Forest County: 0.3 %Forest County0.3Sauk County: 0.3 %Sauk County0.3Ashland County: 0 %Ashland County0Douglas County: 0 %Douglas County0Eau Claire County: 0 %Eau Claire County0Marathon County: 0 %Marathon County0St. Croix County: 0 %St. Croix County0Taylor County: 0 %Taylor County0Vernon County: 0 %Vernon County0Waupaca County: 0 %Waupaca County0Sheboygan County: 6 %Sheboygan County6Door County: 5.7 %Door County5.7Ozaukee County: 4.9 %Ozaukee County4.9Milwaukee County: 4.4 %Milwaukee County4.4Kenosha County: 3.3 %Kenosha County3.3Kewaunee County: 3 %Kewaunee County3Manitowoc County: 2.9 %Manitowoc County2.9Dodge County: 2.2 %Dodge County2.2Outagamie County: 2 %Outagamie County2Waukesha County: 2 %Waukesha County2Grant County: 1.8 %Grant County1.8Dane County: 1.7 %Dane County1.7Rock County: 1.5 %Rock County1.5Brown County: 1.2 %Brown County1.2Racine County: 1.1 %Racine County1.1Washington County: 1.1 %Washington County1.1Fond du Lac County: 1 %Fond du Lac County1Columbia County: 0.5 %Columbia County0.5Florence County: 0.5 %Florence County0.5Green County: 0.5 %Green County0.5Jefferson County: 0.5 %Jefferson County0.5Oneida County: 0.5 %Oneida County0.5Walworth County: 0.5 %Walworth County0.5Vilas County: 0.4 %Vilas County0.4Forest County: 0.3 %Forest County0.3Sauk County: 0.3 %Sauk County0.3Ashland County: 0 %Ashland County0Douglas County: 0 %Douglas County0Eau Claire County: 0 %Eau Claire County0Marathon County: 0 %Marathon County0St. Croix County: 0 %St. Croix County0Taylor County: 0 %Taylor County0Vernon County: 0 %Vernon County0Waupaca County: 0 %Waupaca County0
%. Source: Invokely calculation with data from EPA. Retrieved 2026-10-12.

Full ranking

RankCounties2004 (%)Change on 2003
1Sheboygan County6-4.3 pts
2Door County5.7-1.2 pts
3Ozaukee County4.9-4.7 pts
4Milwaukee County4.4-2.4 pts
5Kenosha County3.3-5.6 pts
6Kewaunee County3-3.5 pts
7Manitowoc County2.9-2.4 pts
8Dodge County2.2-3.6 pts
9Outagamie County2-1.7 pts
9Waukesha County2-0.6 pts
11Grant County1.8+0.1 pts
12Dane County1.7-3.2 pts
13Rock County1.5-5.9 pts
14Brown County1.2-2.2 pts
15Racine County1.1-4.9 pts
15Washington County1.1-4.3 pts
17Fond du Lac County1-6.1 pts
18Columbia County0.5-6.6 pts
18Florence County0.50 pts
18Green County0.5-4.4 pts
18Jefferson County0.5-8.3 pts
18Oneida County0.5-1.7 pts
18Walworth County0.5-11 pts
24Vilas County0.4-0.9 pts
25Forest County0.3+0.3 pts
25Sauk County0.3-3.1 pts
27Ashland County00 pts
27Douglas County00 pts
27Eau Claire County00 pts
27Marathon County0-5.6 pts
27St. Croix County0-3.8 pts
27Taylor County0-0.4 pts
27Vernon County0-3.3 pts
27Waupaca County0n/a

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 2004 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), 2004) [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), 2004. 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=2004. 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), 2004. 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=2004.

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), 2004 [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=2004 (Accessed: 12 October 2026).

BibTeX
@misc{environmental_counties_in_wisconsin_by_2004,
  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), 2004}},
  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=2004. 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), 2004
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=2004
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/unhealthy-air-quality-days-share/wisconsin-counties?period=2004.
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 6% in 2004, according to EPA.

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

Waupaca County, with 0% in 2004.

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 2004 and are not ranked.

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

Counties in Wisconsin: more rankings