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

Wright County had the highest share of days unhealthy for sensitive groups or worse (US EPA AQI) of 21 counties in 2018, at 0.8%. Winona County had the lowest, at 0%. The median was 0%. Source: EPA.

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Highest0.8Wright County
Median021 counties

Map of counties, 2018

Anoka County: 0.3 %Becker County: 0 %Beltrami County: 0.3 %Carlton County: 0 %Cass County: 0 %Cook County: 0 %Crow Wing County: 0.3 %Dakota County: 0 %Goodhue County: 0.4 %Hennepin County: 0.3 %Lake County: 0 %Lyon County: 0 %Mille Lacs County: 0 %Olmsted County: 0 %Ramsey County: 0.3 %St. Louis County: 0.5 %Scott County: 0.6 %Stearns County: 0.3 %Washington County: 0 %Winona County: 0 %Wright County: 0.8 %
  • Under 0.3
  • 0.3 and over
  • No data
%, 2018. 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, 2018

Wright County: 0.8 %Wright County0.8Scott County: 0.6 %Scott County0.6St. Louis County: 0.5 %St. Louis County0.5Goodhue County: 0.4 %Goodhue County0.4Anoka County: 0.3 %Anoka County0.3Beltrami County: 0.3 %Beltrami County0.3Crow Wing County: 0.3 %Crow Wing County0.3Hennepin County: 0.3 %Hennepin County0.3Ramsey County: 0.3 %Ramsey County0.3Stearns County: 0.3 %Stearns County0.3Becker County: 0 %Becker County0Carlton County: 0 %Carlton County0Cass County: 0 %Cass County0Cook County: 0 %Cook County0Dakota County: 0 %Dakota County0Lake County: 0 %Lake County0Lyon County: 0 %Lyon County0Mille Lacs County: 0 %Mille Lacs County0Olmsted County: 0 %Olmsted County0Washington County: 0 %Washington County0Winona County: 0 %Winona County0Wright County: 0.8 %Wright County0.8Scott County: 0.6 %Scott County0.6St. Louis County: 0.5 %St. Louis County0.5Goodhue County: 0.4 %Goodhue County0.4Anoka County: 0.3 %Anoka County0.3Beltrami County: 0.3 %Beltrami County0.3Crow Wing County: 0.3 %Crow Wing County0.3Hennepin County: 0.3 %Hennepin County0.3Ramsey County: 0.3 %Ramsey County0.3Stearns County: 0.3 %Stearns County0.3Becker County: 0 %Becker County0Carlton County: 0 %Carlton County0Cass County: 0 %Cass County0Cook County: 0 %Cook County0Dakota County: 0 %Dakota County0Lake County: 0 %Lake County0Lyon County: 0 %Lyon County0Mille Lacs County: 0 %Mille Lacs County0Olmsted County: 0 %Olmsted County0Washington County: 0 %Washington County0Winona County: 0 %Winona County0
%. Source: Invokely calculation with data from EPA. Retrieved 2026-10-12.

Full ranking

RankCounties2018 (%)Change on 2017
1Wright County0.8+0.8 pts
2Scott County0.6+0.6 pts
3St. Louis County0.5+0.5 pts
4Goodhue County0.4+0.4 pts
5Anoka County0.3+0.3 pts
5Beltrami County0.3+0.3 pts
5Crow Wing County0.3+0.3 pts
5Hennepin County0.30 pts
5Ramsey County0.3+0.3 pts
5Stearns County0.3+0.3 pts
11Becker County00 pts
11Carlton County00 pts
11Cass County0n/a
11Cook County00 pts
11Dakota County00 pts
11Lake County00 pts
11Lyon County00 pts
11Mille Lacs County00 pts
11Olmsted County00 pts
11Washington County00 pts
11Winona 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. 19 counties with data in other periods have no value for 2018 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 Minnesota by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2018) [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 Minnesota by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2018. 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/minnesota-counties?period=2018. 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 Minnesota by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2018. 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/minnesota-counties?period=2018.

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 Minnesota by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2018 [Dataset]. Available at: https://aqs.epa.gov/aqsweb/airdata/download_files.html#Annual, via Invokely: https://invokely.ai/rankings/unhealthy-air-quality-days-share/minnesota-counties?period=2018 (Accessed: 12 October 2026).

BibTeX
@misc{environmental_counties_in_minnesota_by_2018,
  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 Minnesota by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2018}},
  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/minnesota-counties?period=2018. 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 Minnesota by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2018
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/minnesota-counties?period=2018
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/unhealthy-air-quality-days-share/minnesota-counties?period=2018.
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 Minnesota 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)?

Wright County, with 0.8% in 2018, according to EPA.

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

Winona County, with 0% in 2018.

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. 19 counties have no value for 2018 and are not ranked.

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

Counties in Minnesota: more rankings