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

Yancey County had the highest share of days unhealthy for sensitive groups or worse (US EPA AQI) of 51 counties in 1995, at 31.2%. Wilson County had the lowest, at 0%. The median was 1.9%. Source: EPA.

Keep it in a collection in your library.
Highest31.2Yancey County
Median1.951 counties

Map of counties, 1995

Alamance County: 0 %Alexander County: 0 %Avery County: 8.9 %Beaufort County: 0 %Buncombe County: 2.7 %Cabarrus County: 0 %Caldwell County: 12.7 %Camden County: 6.4 %Carteret County: 1.9 %Caswell County: 8 %Catawba County: 0 %Chatham County: 12.7 %Cumberland County: 7.2 %Davidson County: 0 %Davie County: 0 %Duplin County: 0.5 %Durham County: 9.3 %Edgecombe County: 0 %Forsyth County: 13.4 %Franklin County: 11.2 %Gaston County: 0 %Granville County: 25.2 %Guilford County: 7.7 %Halifax County: 0 %Harnett County: 0 %Haywood County: 11.1 %Henderson County: 0 %Johnston County: 14.1 %Lincoln County: 12.6 %McDowell County: 0 %Macon County: 1.4 %Martin County: 5.2 %Mecklenburg County: 13.4 %Mitchell County: 0 %Montgomery County: 8.1 %New Hanover County: 0 %Northampton County: 10 %Onslow County: 0 %Orange County: 0 %Pasquotank County: 0 %Person County: 7.2 %Pitt County: 8.2 %Robeson County: 0 %Rockingham County: 1.9 %Rowan County: 18.3 %Swain County: 0 %Wake County: 15.6 %Watauga County: 0 %Wayne County: 0 %Wilson County: 0 %Yancey County: 31.2 %
  • Under 1.9
  • 1.9 to 8
  • 8 to 13
  • 13 and over
  • No data
%, 1995. 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, 1995

Yancey County: 31.2 %Yancey County31.2Granville County: 25.2 %Granville County25.2Rowan County: 18.3 %Rowan County18.3Wake County: 15.6 %Wake County15.6Johnston County: 14.1 %Johnston County14.1Forsyth County: 13.4 %Forsyth County13.4Mecklenburg County: 13.4 %Mecklenburg County13.4Caldwell County: 12.7 %Caldwell County12.7Chatham County: 12.7 %Chatham County12.7Lincoln County: 12.6 %Lincoln County12.6Franklin County: 11.2 %Franklin County11.2Haywood County: 11.1 %Haywood County11.1Northampton County: 10 %Northampton County10Durham County: 9.3 %Durham County9.3Avery County: 8.9 %Avery County8.9Pitt County: 8.2 %Pitt County8.2Montgomery County: 8.1 %Montgomery County8.1Caswell County: 8 %Caswell County8Guilford County: 7.7 %Guilford County7.7Cumberland County: 7.2 %Cumberland County7.2Person County: 7.2 %Person County7.2Camden County: 6.4 %Camden County6.4Martin County: 5.2 %Martin County5.2Buncombe County: 2.7 %Buncombe County2.7Carteret County: 1.9 %Carteret County1.9Rockingham County: 1.9 %Rockingham County1.9Macon County: 1.4 %Macon County1.4Duplin County: 0.5 %Duplin County0.5Alamance County: 0 %Alamance County0Alexander County: 0 %Alexander County0Beaufort County: 0 %Beaufort County0Cabarrus County: 0 %Cabarrus County0Catawba County: 0 %Catawba County0Davidson County: 0 %Davidson County0Davie County: 0 %Davie County0Edgecombe County: 0 %Edgecombe County0Gaston County: 0 %Gaston County0Halifax County: 0 %Halifax County0Harnett County: 0 %Harnett County0Henderson County: 0 %Henderson County0McDowell County: 0 %McDowell County0Mitchell County: 0 %Mitchell County0New Hanover County: 0 %New Hanover County0Onslow County: 0 %Onslow County0Orange County: 0 %Orange County0Pasquotank County: 0 %Pasquotank County0Robeson County: 0 %Robeson County0Swain County: 0 %Swain County0Watauga County: 0 %Watauga County0Wayne County: 0 %Wayne County0Wilson County: 0 %Wilson County0Yancey County: 31.2 %Yancey County31.2Granville County: 25.2 %Granville County25.2Rowan County: 18.3 %Rowan County18.3Wake County: 15.6 %Wake County15.6Johnston County: 14.1 %Johnston County14.1Forsyth County: 13.4 %Forsyth County13.4Mecklenburg County: 13.4 %Mecklenburg County13.4Caldwell County: 12.7 %Caldwell County12.7Chatham County: 12.7 %Chatham County12.7Lincoln County: 12.6 %Lincoln County12.6Franklin County: 11.2 %Franklin County11.2Haywood County: 11.1 %Haywood County11.1Northampton County: 10 %Northampton County10Durham County: 9.3 %Durham County9.3Avery County: 8.9 %Avery County8.9Pitt County: 8.2 %Pitt County8.2Montgomery County: 8.1 %Montgomery County8.1Caswell County: 8 %Caswell County8Guilford County: 7.7 %Guilford County7.7Cumberland County: 7.2 %Cumberland County7.2Person County: 7.2 %Person County7.2Camden County: 6.4 %Camden County6.4Martin County: 5.2 %Martin County5.2Buncombe County: 2.7 %Buncombe County2.7Carteret County: 1.9 %Carteret County1.9Rockingham County: 1.9 %Rockingham County1.9Macon County: 1.4 %Macon County1.4Duplin County: 0.5 %Duplin County0.5Alamance County: 0 %Alamance County0Alexander County: 0 %Alexander County0Beaufort County: 0 %Beaufort County0Cabarrus County: 0 %Cabarrus County0Catawba County: 0 %Catawba County0Davidson County: 0 %Davidson County0Davie County: 0 %Davie County0Edgecombe County: 0 %Edgecombe County0Gaston County: 0 %Gaston County0Halifax County: 0 %Halifax County0Harnett County: 0 %Harnett County0Henderson County: 0 %Henderson County0McDowell County: 0 %McDowell County0Mitchell County: 0 %Mitchell County0New Hanover County: 0 %New Hanover County0Onslow County: 0 %Onslow County0Orange County: 0 %Orange County0Pasquotank County: 0 %Pasquotank County0Robeson County: 0 %Robeson County0Swain County: 0 %Swain County0Watauga County: 0 %Watauga County0Wayne County: 0 %Wayne County0Wilson County: 0 %Wilson County0
%. Source: Invokely calculation with data from EPA. Retrieved 2026-10-12.

Full ranking

RankCounties1995 (%)Change on 1994
1Yancey County31.2+24.1 pts
2Granville County25.2+18.6 pts
3Rowan County18.3+2.6 pts
4Wake County15.6+4.1 pts
5Johnston County14.1-4.2 pts
6Forsyth County13.4+5.5 pts
6Mecklenburg County13.4+5.7 pts
8Caldwell County12.7n/a
8Chatham County12.7+10.5 pts
10Lincoln County12.6-2 pts
11Franklin County11.2-4.8 pts
12Haywood County11.1+10.5 pts
13Northampton County10n/a
14Durham County9.3+2.5 pts
15Avery County8.9+5.3 pts
16Pitt County8.2+4.7 pts
17Montgomery County8.1+2.7 pts
18Caswell County8-4.6 pts
19Guilford County7.7-1.6 pts
20Cumberland County7.2+1.7 pts
20Person County7.2n/a
22Camden County6.4-2 pts
23Martin County5.2n/a
24Buncombe County2.7+1.9 pts
25Carteret County1.9-0.9 pts
25Rockingham County1.9-15.4 pts
27Macon County1.4-0.3 pts
28Duplin County0.5-4.7 pts
29Alamance County00 pts
29Alexander County0-4.3 pts
29Beaufort County00 pts
29Cabarrus County00 pts
29Catawba County00 pts
29Davidson County00 pts
29Davie County0-0.4 pts
29Edgecombe County00 pts
29Gaston County00 pts
29Halifax County00 pts
29Harnett County00 pts
29Henderson County00 pts
29McDowell County00 pts
29Mitchell County00 pts
29New Hanover County0-7.6 pts
29Onslow County00 pts
29Orange County00 pts
29Pasquotank County00 pts
29Robeson County0n/a
29Swain County0n/a
29Watauga County00 pts
29Wayne County00 pts
29Wilson 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. 11 counties with data in other periods have no value for 1995 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 North Carolina by share of days unhealthy for sensitive groups or worse (US EPA AQI), 1995) [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 North Carolina by share of days unhealthy for sensitive groups or worse (US EPA AQI), 1995. 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/north-carolina-counties?period=1995. 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 North Carolina by share of days unhealthy for sensitive groups or worse (US EPA AQI), 1995. 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/north-carolina-counties?period=1995.

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 North Carolina by share of days unhealthy for sensitive groups or worse (US EPA AQI), 1995 [Dataset]. Available at: https://aqs.epa.gov/aqsweb/airdata/download_files.html#Annual, via Invokely: https://invokely.ai/rankings/unhealthy-air-quality-days-share/north-carolina-counties?period=1995 (Accessed: 12 October 2026).

BibTeX
@misc{environmental_counties_in_north_carolina_1995,
  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 North Carolina by share of days unhealthy for sensitive groups or worse (US EPA AQI), 1995}},
  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/north-carolina-counties?period=1995. 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 North Carolina by share of days unhealthy for sensitive groups or worse (US EPA AQI), 1995
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/north-carolina-counties?period=1995
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/unhealthy-air-quality-days-share/north-carolina-counties?period=1995.
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 North Carolina 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":"North Carolina","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=aqi_unhealthy_sensitive_or_worse_days_share&level=province&within=North%20Carolina&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)?

Yancey County, with 31.2% in 1995, according to EPA.

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

Wilson County, with 0% in 1995.

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. 11 counties have no value for 1995 and are not ranked.

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

Counties in North Carolina: more rankings