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

Beltrami County had the highest share of days unhealthy for sensitive groups or worse (US EPA AQI) of 21 counties in 2019, at 0.6%. Wright County had the lowest, at 0%. The median was 0%. Source: EPA.

Keep it in a collection in your library.
Highest0.6Beltrami County
Median021 counties

Map of counties, 2019

Anoka County: 0.3 %Becker County: 0.3 %Beltrami County: 0.6 %Carlton County: 0 %Cass County: 0.3 %Cook County: 0 %Crow Wing County: 0.3 %Dakota County: 0 %Goodhue County: 0 %Hennepin County: 0 %Lake County: 0 %Lyon County: 0 %Mille Lacs County: 0 %Olmsted County: 0 %Ramsey County: 0 %St. Louis County: 0.3 %Scott County: 0 %Stearns County: 0 %Washington County: 0 %Winona County: 0 %Wright County: 0 %
  • 0 and over
  • No data
%, 2019. 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, 2019

Beltrami County: 0.6 %Beltrami County0.6Anoka County: 0.3 %Anoka County0.3Becker County: 0.3 %Becker County0.3Cass County: 0.3 %Cass County0.3Crow Wing County: 0.3 %Crow Wing County0.3St. Louis County: 0.3 %St. Louis County0.3Carlton County: 0 %Carlton County0Cook County: 0 %Cook County0Dakota County: 0 %Dakota County0Goodhue County: 0 %Goodhue County0Hennepin County: 0 %Hennepin County0Lake County: 0 %Lake County0Lyon County: 0 %Lyon County0Mille Lacs County: 0 %Mille Lacs County0Olmsted County: 0 %Olmsted County0Ramsey County: 0 %Ramsey County0Scott County: 0 %Scott County0Stearns County: 0 %Stearns County0Washington County: 0 %Washington County0Winona County: 0 %Winona County0Wright County: 0 %Wright County0Beltrami County: 0.6 %Beltrami County0.6Anoka County: 0.3 %Anoka County0.3Becker County: 0.3 %Becker County0.3Cass County: 0.3 %Cass County0.3Crow Wing County: 0.3 %Crow Wing County0.3St. Louis County: 0.3 %St. Louis County0.3Carlton County: 0 %Carlton County0Cook County: 0 %Cook County0Dakota County: 0 %Dakota County0Goodhue County: 0 %Goodhue County0Hennepin County: 0 %Hennepin County0Lake County: 0 %Lake County0Lyon County: 0 %Lyon County0Mille Lacs County: 0 %Mille Lacs County0Olmsted County: 0 %Olmsted County0Ramsey County: 0 %Ramsey County0Scott County: 0 %Scott County0Stearns County: 0 %Stearns County0Washington County: 0 %Washington County0Winona County: 0 %Winona County0Wright County: 0 %Wright County0
%. Source: Invokely calculation with data from EPA. Retrieved 2026-10-12.

Full ranking

RankCounties2019 (%)Change on 2018
1Beltrami County0.6+0.3 pts
2Anoka County0.30 pts
2Becker County0.3+0.3 pts
2Cass County0.3+0.3 pts
2Crow Wing County0.30 pts
2St. Louis County0.3-0.2 pts
7Carlton County00 pts
7Cook County00 pts
7Dakota County00 pts
7Goodhue County0-0.4 pts
7Hennepin County0-0.3 pts
7Lake County00 pts
7Lyon County00 pts
7Mille Lacs County00 pts
7Olmsted County00 pts
7Ramsey County0-0.3 pts
7Scott County0-0.6 pts
7Stearns County0-0.3 pts
7Washington County00 pts
7Winona County00 pts
7Wright County0-0.8 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 2019 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), 2019) [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), 2019. 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=2019. 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), 2019. 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=2019.

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), 2019 [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=2019 (Accessed: 12 October 2026).

BibTeX
@misc{environmental_counties_in_minnesota_by_2019,
  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), 2019}},
  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=2019. 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), 2019
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=2019
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/unhealthy-air-quality-days-share/minnesota-counties?period=2019.
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 Minnesota 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":"Minnesota","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=aqi_unhealthy_sensitive_or_worse_days_share&level=province&within=Minnesota&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)?

Beltrami County, with 0.6% in 2019, according to EPA.

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

Wright County, with 0% in 2019.

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 2019 and are not ranked.

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

Counties in Minnesota: more rankings