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

Rowan County had the highest share of days unhealthy for sensitive groups or worse (US EPA AQI) of 51 counties in 2002, at 29.4%. Watauga County had the lowest, at 0%. The median was 11.5%. Source: EPA.

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Highest29.4Rowan County
Median11.551 counties

Map of counties, 2002

Alamance County: 0 %Alexander County: 24.3 %Avery County: 8.4 %Buncombe County: 12.7 %Cabarrus County: 0 %Caldwell County: 15.9 %Carteret County: 1.6 %Caswell County: 14.2 %Catawba County: 1.7 %Chatham County: 16.5 %Cumberland County: 14.2 %Davidson County: 1.7 %Davie County: 20.7 %Duplin County: 9.2 %Durham County: 12.6 %Edgecombe County: 16.6 %Forsyth County: 11.5 %Franklin County: 19.9 %Gaston County: 0.8 %Granville County: 20.1 %Guilford County: 13.7 %Haywood County: 23.5 %Henderson County: 0 %Hyde County: 0 %Jackson County: 13.9 %Johnston County: 20.3 %Lenoir County: 8.8 %Lincoln County: 20.1 %McDowell County: 0.8 %Macon County: 2.2 %Martin County: 10.9 %Mecklenburg County: 14.6 %Mitchell County: 0.8 %Montgomery County: 7.5 %New Hanover County: 4.4 %Northampton County: 16.6 %Onslow County: 0 %Orange County: 0 %Pasquotank County: 0.8 %Person County: 22 %Pitt County: 11.4 %Randolph County: 17.3 %Robeson County: 0.8 %Rockingham County: 22 %Rowan County: 29.4 %Swain County: 3.8 %Union County: 22.9 %Wake County: 16.7 %Watauga County: 0 %Wayne County: 0.8 %Yancey County: 18.2 %
  • Under 0.8
  • 0.8 to 3.3
  • 3.3 to 12
  • 12 to 16
  • 16 to 20
  • 20 and over
  • No data
%, 2002. 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, 2002

Rowan County: 29.4 %Rowan County29.4Alexander County: 24.3 %Alexander County24.3Haywood County: 23.5 %Haywood County23.5Union County: 22.9 %Union County22.9Person County: 22 %Person County22Rockingham County: 22 %Rockingham County22Davie County: 20.7 %Davie County20.7Johnston County: 20.3 %Johnston County20.3Granville County: 20.1 %Granville County20.1Lincoln County: 20.1 %Lincoln County20.1Franklin County: 19.9 %Franklin County19.9Yancey County: 18.2 %Yancey County18.2Randolph County: 17.3 %Randolph County17.3Wake County: 16.7 %Wake County16.7Edgecombe County: 16.6 %Edgecombe County16.6Northampton County: 16.6 %Northampton County16.6Chatham County: 16.5 %Chatham County16.5Caldwell County: 15.9 %Caldwell County15.9Mecklenburg County: 14.6 %Mecklenburg County14.6Caswell County: 14.2 %Caswell County14.2Cumberland County: 14.2 %Cumberland County14.2Jackson County: 13.9 %Jackson County13.9Guilford County: 13.7 %Guilford County13.7Buncombe County: 12.7 %Buncombe County12.7Durham County: 12.6 %Durham County12.6Forsyth County: 11.5 %Forsyth County11.5Pitt County: 11.4 %Pitt County11.4Martin County: 10.9 %Martin County10.9Duplin County: 9.2 %Duplin County9.2Lenoir County: 8.8 %Lenoir County8.8Avery County: 8.4 %Avery County8.4Montgomery County: 7.5 %Montgomery County7.5New Hanover County: 4.4 %New Hanover County4.4Swain County: 3.8 %Swain County3.8Macon County: 2.2 %Macon County2.2Catawba County: 1.7 %Catawba County1.7Davidson County: 1.7 %Davidson County1.7Carteret County: 1.6 %Carteret County1.6Gaston County: 0.8 %Gaston County0.8McDowell County: 0.8 %McDowell County0.8Mitchell County: 0.8 %Mitchell County0.8Pasquotank County: 0.8 %Pasquotank County0.8Robeson County: 0.8 %Robeson County0.8Wayne County: 0.8 %Wayne County0.8Alamance County: 0 %Alamance County0Cabarrus County: 0 %Cabarrus County0Henderson County: 0 %Henderson County0Hyde County: 0 %Hyde County0Onslow County: 0 %Onslow County0Orange County: 0 %Orange County0Watauga County: 0 %Watauga County0Rowan County: 29.4 %Rowan County29.4Alexander County: 24.3 %Alexander County24.3Haywood County: 23.5 %Haywood County23.5Union County: 22.9 %Union County22.9Person County: 22 %Person County22Rockingham County: 22 %Rockingham County22Davie County: 20.7 %Davie County20.7Johnston County: 20.3 %Johnston County20.3Granville County: 20.1 %Granville County20.1Lincoln County: 20.1 %Lincoln County20.1Franklin County: 19.9 %Franklin County19.9Yancey County: 18.2 %Yancey County18.2Randolph County: 17.3 %Randolph County17.3Wake County: 16.7 %Wake County16.7Edgecombe County: 16.6 %Edgecombe County16.6Northampton County: 16.6 %Northampton County16.6Chatham County: 16.5 %Chatham County16.5Caldwell County: 15.9 %Caldwell County15.9Mecklenburg County: 14.6 %Mecklenburg County14.6Caswell County: 14.2 %Caswell County14.2Cumberland County: 14.2 %Cumberland County14.2Jackson County: 13.9 %Jackson County13.9Guilford County: 13.7 %Guilford County13.7Buncombe County: 12.7 %Buncombe County12.7Durham County: 12.6 %Durham County12.6Forsyth County: 11.5 %Forsyth County11.5Pitt County: 11.4 %Pitt County11.4Martin County: 10.9 %Martin County10.9Duplin County: 9.2 %Duplin County9.2Lenoir County: 8.8 %Lenoir County8.8Avery County: 8.4 %Avery County8.4Montgomery County: 7.5 %Montgomery County7.5New Hanover County: 4.4 %New Hanover County4.4Swain County: 3.8 %Swain County3.8Macon County: 2.2 %Macon County2.2Catawba County: 1.7 %Catawba County1.7Davidson County: 1.7 %Davidson County1.7Carteret County: 1.6 %Carteret County1.6Gaston County: 0.8 %Gaston County0.8McDowell County: 0.8 %McDowell County0.8Mitchell County: 0.8 %Mitchell County0.8Pasquotank County: 0.8 %Pasquotank County0.8Robeson County: 0.8 %Robeson County0.8Wayne County: 0.8 %Wayne County0.8Alamance County: 0 %Alamance County0Cabarrus County: 0 %Cabarrus County0Henderson County: 0 %Henderson County0Hyde County: 0 %Hyde County0Onslow County: 0 %Onslow County0Orange County: 0 %Orange County0Watauga County: 0 %Watauga County0
%. Source: Invokely calculation with data from EPA. Retrieved 2026-10-12.

Full ranking

RankCounties2002 (%)Change on 2001
1Rowan County29.4-1 pts
2Alexander County24.3+9.3 pts
3Haywood County23.5+12.1 pts
4Union County22.9+3.5 pts
5Person County22+7 pts
5Rockingham County22+7.4 pts
7Davie County20.7+1.8 pts
8Johnston County20.3+8.6 pts
9Granville County20.1+0.9 pts
9Lincoln County20.1+1.4 pts
11Franklin County19.9+6.2 pts
12Yancey County18.2+4.7 pts
13Randolph County17.3+0.9 pts
14Wake County16.7-0.3 pts
15Edgecombe County16.6+4.5 pts
15Northampton County16.6+6.3 pts
17Chatham County16.5+11.1 pts
18Caldwell County15.9+5.5 pts
19Mecklenburg County14.6-1 pts
20Caswell County14.2+0.4 pts
20Cumberland County14.2+0.8 pts
22Jackson County13.9-2 pts
23Guilford County13.7+6.9 pts
24Buncombe County12.7+8 pts
25Durham County12.6+4.7 pts
26Forsyth County11.50 pts
27Pitt County11.4+6 pts
28Martin County10.9+2.9 pts
29Duplin County9.2+1.2 pts
30Lenoir County8.8+2 pts
31Avery County8.4+3.7 pts
32Montgomery County7.5+1.7 pts
33New Hanover County4.4+1.1 pts
34Swain County3.8+0.4 pts
35Macon County2.2-0.3 pts
36Catawba County1.7+0.9 pts
36Davidson County1.7-0.9 pts
38Carteret County1.6-0.9 pts
39Gaston County0.80 pts
39McDowell County0.8-1.6 pts
39Mitchell County0.80 pts
39Pasquotank County0.8-0.7 pts
39Robeson County0.8+0.8 pts
39Wayne County0.8+0.8 pts
45Alamance County0-2.5 pts
45Cabarrus County0-0.8 pts
45Henderson County00 pts
45Hyde County00 pts
45Onslow County0-0.8 pts
45Orange County0-0.8 pts
45Watauga 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 2002 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), 2002) [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), 2002. 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=2002. 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), 2002. 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=2002.

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), 2002 [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=2002 (Accessed: 12 October 2026).

BibTeX
@misc{environmental_counties_in_north_carolina_2002,
  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), 2002}},
  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=2002. 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), 2002
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=2002
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/unhealthy-air-quality-days-share/north-carolina-counties?period=2002.
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 North Carolina 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)?

Rowan County, with 29.4% in 2002, according to EPA.

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

Watauga County, with 0% in 2002.

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 2002 and are not ranked.

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

Counties in North Carolina: more rankings