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

Rock County had the highest share of days unhealthy for sensitive groups or worse (US EPA AQI) of 21 counties in 2014, at 0.9%. Washington County had the lowest, at 0%. The median was 0%. Source: EPA.

Keep it in a collection in your library.
Highest0.9Rock County
Median021 counties

Map of counties, 2014

Anoka County: 0 %Becker County: 0 %Beltrami County: 0 %Carlton County: 0 %Cook County: 0 %Crow Wing County: 0 %Dakota County: 0 %Goodhue County: 0 %Hennepin County: 0 %Lake County: 0 %Lyon County: 0.3 %Mille Lacs County: 0 %Olmsted County: 0.3 %Ramsey County: 0.3 %Rock County: 0.9 %St. Louis County: 0 %Scott County: 0 %Stearns County: 0 %Washington County: 0 %Winona County: 0.3 %Wright County: 0.3 %
  • 0 and over
  • No data
%, 2014. 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, 2014

Rock County: 0.9 %Rock County0.9Lyon County: 0.3 %Lyon County0.3Olmsted County: 0.3 %Olmsted County0.3Ramsey County: 0.3 %Ramsey County0.3Winona County: 0.3 %Winona County0.3Wright County: 0.3 %Wright County0.3Anoka County: 0 %Anoka County0Becker County: 0 %Becker County0Beltrami County: 0 %Beltrami County0Carlton County: 0 %Carlton County0Cook County: 0 %Cook County0Crow Wing County: 0 %Crow Wing County0Dakota County: 0 %Dakota County0Goodhue County: 0 %Goodhue County0Hennepin County: 0 %Hennepin County0Lake County: 0 %Lake County0Mille Lacs County: 0 %Mille Lacs County0Scott County: 0 %Scott County0St. Louis County: 0 %St. Louis County0Stearns County: 0 %Stearns County0Washington County: 0 %Washington County0Rock County: 0.9 %Rock County0.9Lyon County: 0.3 %Lyon County0.3Olmsted County: 0.3 %Olmsted County0.3Ramsey County: 0.3 %Ramsey County0.3Winona County: 0.3 %Winona County0.3Wright County: 0.3 %Wright County0.3Anoka County: 0 %Anoka County0Becker County: 0 %Becker County0Beltrami County: 0 %Beltrami County0Carlton County: 0 %Carlton County0Cook County: 0 %Cook County0Crow Wing County: 0 %Crow Wing County0Dakota County: 0 %Dakota County0Goodhue County: 0 %Goodhue County0Hennepin County: 0 %Hennepin County0Lake County: 0 %Lake County0Mille Lacs County: 0 %Mille Lacs County0Scott County: 0 %Scott County0St. Louis County: 0 %St. Louis County0Stearns County: 0 %Stearns County0Washington County: 0 %Washington County0
%. Source: Invokely calculation with data from EPA. Retrieved 2026-10-12.

Full ranking

RankCounties2014 (%)Change on 2013
1Rock County0.9+0.9 pts
2Lyon County0.3-0.2 pts
2Olmsted County0.3+0.3 pts
2Ramsey County0.3+0.3 pts
2Winona County0.3+0.3 pts
2Wright County0.3+0.3 pts
7Anoka County0-0.5 pts
7Becker County00 pts
7Beltrami County0n/a
7Carlton County00 pts
7Cook County00 pts
7Crow Wing County00 pts
7Dakota County00 pts
7Goodhue County00 pts
7Hennepin County00 pts
7Lake County00 pts
7Mille Lacs County00 pts
7Scott County0-0.4 pts
7St. Louis County00 pts
7Stearns County00 pts
7Washington 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 2014 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), 2014) [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), 2014. 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=2014. 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), 2014. 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=2014.

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), 2014 [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=2014 (Accessed: 12 October 2026).

BibTeX
@misc{environmental_counties_in_minnesota_by_2014,
  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), 2014}},
  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=2014. 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), 2014
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=2014
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/unhealthy-air-quality-days-share/minnesota-counties?period=2014.
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)?

Rock County, with 0.9% in 2014, according to EPA.

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

Washington County, with 0% in 2014.

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 2014 and are not ranked.

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

Counties in Minnesota: more rankings