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

Elkhart County had the highest share of days unhealthy for sensitive groups or worse (US EPA AQI) of 39 counties in 2014, at 2.8%. Spencer County had the lowest, at 0%. The median was 0.6%. Source: EPA.

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Highest2.8Elkhart County
Median0.639 counties

Map of counties, 2014

Allen County: 1.7 %Bartholomew County: 0.3 %Boone County: 1.1 %Brown County: 0 %Carroll County: 0.6 %Clark County: 0.6 %Delaware County: 0.4 %Dubois County: 0 %Elkhart County: 2.8 %Floyd County: 0.8 %Greene County: 0 %Hamilton County: 0.6 %Hancock County: 0 %Hendricks County: 0 %Henry County: 0.8 %Howard County: 0 %Huntington County: 0 %Jackson County: 0 %Johnson County: 0 %Knox County: 0 %Lake County: 2.2 %LaPorte County: 2.1 %Madison County: 0.6 %Marion County: 1.9 %Monroe County: 0.3 %Montgomery County: 0 %Morgan County: 0 %Perry County: 0.6 %Porter County: 1.4 %Posey County: 0 %St. Joseph County: 1.1 %Shelby County: 0 %Spencer County: 0 %Tippecanoe County: 0.3 %Vanderburgh County: 1.1 %Vigo County: 0.6 %Wabash County: 0.6 %Warrick County: 1.1 %Whitley County: 0.6 %
  • Under 0.6
  • 0.6 to 1.1
  • 1.1 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

Elkhart County: 2.8 %Elkhart County2.8Lake County: 2.2 %Lake County2.2LaPorte County: 2.1 %LaPorte County2.1Marion County: 1.9 %Marion County1.9Allen County: 1.7 %Allen County1.7Porter County: 1.4 %Porter County1.4Boone County: 1.1 %Boone County1.1St. Joseph County: 1.1 %St. Joseph County1.1Vanderburgh County: 1.1 %Vanderburgh County1.1Warrick County: 1.1 %Warrick County1.1Floyd County: 0.8 %Floyd County0.8Henry County: 0.8 %Henry County0.8Carroll County: 0.6 %Carroll County0.6Clark County: 0.6 %Clark County0.6Hamilton County: 0.6 %Hamilton County0.6Madison County: 0.6 %Madison County0.6Perry County: 0.6 %Perry County0.6Vigo County: 0.6 %Vigo County0.6Wabash County: 0.6 %Wabash County0.6Whitley County: 0.6 %Whitley County0.6Delaware County: 0.4 %Delaware County0.4Bartholomew County: 0.3 %Bartholomew County0.3Monroe County: 0.3 %Monroe County0.3Tippecanoe County: 0.3 %Tippecanoe County0.3Brown County: 0 %Brown County0Dubois County: 0 %Dubois County0Greene County: 0 %Greene County0Hancock County: 0 %Hancock County0Hendricks County: 0 %Hendricks County0Howard County: 0 %Howard County0Huntington County: 0 %Huntington County0Jackson County: 0 %Jackson County0Johnson County: 0 %Johnson County0Knox County: 0 %Knox County0Montgomery County: 0 %Montgomery County0Morgan County: 0 %Morgan County0Posey County: 0 %Posey County0Shelby County: 0 %Shelby County0Spencer County: 0 %Spencer County0Elkhart County: 2.8 %Elkhart County2.8Lake County: 2.2 %Lake County2.2LaPorte County: 2.1 %LaPorte County2.1Marion County: 1.9 %Marion County1.9Allen County: 1.7 %Allen County1.7Porter County: 1.4 %Porter County1.4Boone County: 1.1 %Boone County1.1St. Joseph County: 1.1 %St. Joseph County1.1Vanderburgh County: 1.1 %Vanderburgh County1.1Warrick County: 1.1 %Warrick County1.1Floyd County: 0.8 %Floyd County0.8Henry County: 0.8 %Henry County0.8Carroll County: 0.6 %Carroll County0.6Clark County: 0.6 %Clark County0.6Hamilton County: 0.6 %Hamilton County0.6Madison County: 0.6 %Madison County0.6Perry County: 0.6 %Perry County0.6Vigo County: 0.6 %Vigo County0.6Wabash County: 0.6 %Wabash County0.6Whitley County: 0.6 %Whitley County0.6Delaware County: 0.4 %Delaware County0.4Bartholomew County: 0.3 %Bartholomew County0.3Monroe County: 0.3 %Monroe County0.3Tippecanoe County: 0.3 %Tippecanoe County0.3Brown County: 0 %Brown County0Dubois County: 0 %Dubois County0Greene County: 0 %Greene County0Hancock County: 0 %Hancock County0Hendricks County: 0 %Hendricks County0Howard County: 0 %Howard County0Huntington County: 0 %Huntington County0Jackson County: 0 %Jackson County0Johnson County: 0 %Johnson County0Knox County: 0 %Knox County0Montgomery County: 0 %Montgomery County0Morgan County: 0 %Morgan County0Posey County: 0 %Posey County0Shelby County: 0 %Shelby County0Spencer County: 0 %Spencer County0
%. Source: Invokely calculation with data from EPA. Retrieved 2026-10-12.

Full ranking

RankCounties2014 (%)Change on 2013
1Elkhart County2.8+1.9 pts
2Lake County2.2+1.9 pts
3LaPorte County2.1+1.3 pts
4Marion County1.9+0.3 pts
5Allen County1.7+1.7 pts
6Porter County1.4+0.6 pts
7Boone County1.10 pts
7St. Joseph County1.1+0.3 pts
7Vanderburgh County1.1+0.3 pts
7Warrick County1.1+1.1 pts
11Floyd County0.8+0.2 pts
11Henry County0.8+0.8 pts
13Carroll County0.6+0.6 pts
13Clark County0.6+0.6 pts
13Hamilton County0.6+0.6 pts
13Madison County0.6+0.3 pts
13Perry County0.6+0.6 pts
13Vigo County0.6+0.6 pts
13Wabash County0.60 pts
13Whitley County0.6+0.3 pts
21Delaware County0.4+0.4 pts
22Bartholomew County0.3+0.3 pts
22Monroe County0.3+0.3 pts
22Tippecanoe County0.3+0.3 pts
25Brown County0n/a
25Dubois County00 pts
25Greene County0-0.4 pts
25Hancock County00 pts
25Hendricks County00 pts
25Howard County0n/a
25Huntington County00 pts
25Jackson County0-0.5 pts
25Johnson County00 pts
25Knox County00 pts
25Montgomery County0n/a
25Morgan County00 pts
25Posey County00 pts
25Shelby County00 pts
25Spencer 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 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 Indiana 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 Indiana 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/indiana-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 Indiana 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/indiana-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 Indiana 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/indiana-counties?period=2014 (Accessed: 12 October 2026).

BibTeX
@misc{environmental_counties_in_indiana_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 Indiana 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/indiana-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 Indiana 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/indiana-counties?period=2014
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/unhealthy-air-quality-days-share/indiana-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  - 
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Rank Counties in Indiana 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)?

Elkhart County, with 2.8% in 2014, according to EPA.

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

Spencer 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. 14 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 Indiana: more rankings