Counties in North Carolina by share of days unhealthy for sensitive groups or worse (US EPA AQI), 2004

Rowan County had the highest share of days unhealthy for sensitive groups or worse (US EPA AQI) of 50 counties in 2004, at 10.8%. Watauga County had the lowest, at 0%. The median was 1.8%. Source: EPA.

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Highest10.8Rowan County
Median1.850 counties

Map of counties, 2004

Alamance County: 0.9 %Alexander County: 1.9 %Avery County: 0.8 %Buncombe County: 1.1 %Cabarrus County: 0.8 %Caldwell County: 1.4 %Camden County: 2.4 %Carteret County: 0.8 %Caswell County: 2.3 %Catawba County: 2.3 %Chatham County: 0.4 %Cumberland County: 3 %Davidson County: 1.6 %Davie County: 4.9 %Duplin County: 0 %Durham County: 1.9 %Edgecombe County: 2.3 %Forsyth County: 4.9 %Franklin County: 6.1 %Gaston County: 0 %Graham County: 3.3 %Granville County: 8.9 %Guilford County: 2.2 %Haywood County: 3 %Henderson County: 0 %Jackson County: 1.2 %Johnston County: 4.7 %Lenoir County: 1.2 %Lincoln County: 5.2 %McDowell County: 1.7 %Macon County: 0.3 %Martin County: 2 %Mecklenburg County: 9.3 %Mitchell County: 0 %Montgomery County: 1.1 %New Hanover County: 0.9 %Onslow County: 0 %Orange County: 0.8 %Person County: 3.8 %Pitt County: 2.7 %Randolph County: 6.1 %Robeson County: 0.8 %Rockingham County: 3.3 %Rowan County: 10.8 %Swain County: 0 %Union County: 6.1 %Wake County: 4.9 %Watauga County: 0 %Wayne County: 0.8 %Yancey County: 1.5 %
  • Under 0.5
  • 0.5 to 1
  • 1 to 1.8
  • 1.8 to 2.6
  • 2.6 to 4.9
  • 4.9 and over
  • No data
%, 2004. 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, 2004

Rowan County: 10.8 %Rowan County10.8Mecklenburg County: 9.3 %Mecklenburg County9.3Granville County: 8.9 %Granville County8.9Franklin County: 6.1 %Franklin County6.1Randolph County: 6.1 %Randolph County6.1Union County: 6.1 %Union County6.1Lincoln County: 5.2 %Lincoln County5.2Davie County: 4.9 %Davie County4.9Forsyth County: 4.9 %Forsyth County4.9Wake County: 4.9 %Wake County4.9Johnston County: 4.7 %Johnston County4.7Person County: 3.8 %Person County3.8Graham County: 3.3 %Graham County3.3Rockingham County: 3.3 %Rockingham County3.3Cumberland County: 3 %Cumberland County3Haywood County: 3 %Haywood County3Pitt County: 2.7 %Pitt County2.7Camden County: 2.4 %Camden County2.4Caswell County: 2.3 %Caswell County2.3Catawba County: 2.3 %Catawba County2.3Edgecombe County: 2.3 %Edgecombe County2.3Guilford County: 2.2 %Guilford County2.2Martin County: 2 %Martin County2Alexander County: 1.9 %Alexander County1.9Durham County: 1.9 %Durham County1.9McDowell County: 1.7 %McDowell County1.7Davidson County: 1.6 %Davidson County1.6Yancey County: 1.5 %Yancey County1.5Caldwell County: 1.4 %Caldwell County1.4Jackson County: 1.2 %Jackson County1.2Lenoir County: 1.2 %Lenoir County1.2Buncombe County: 1.1 %Buncombe County1.1Montgomery County: 1.1 %Montgomery County1.1Alamance County: 0.9 %Alamance County0.9New Hanover County: 0.9 %New Hanover County0.9Avery County: 0.8 %Avery County0.8Cabarrus County: 0.8 %Cabarrus County0.8Carteret County: 0.8 %Carteret County0.8Orange County: 0.8 %Orange County0.8Robeson County: 0.8 %Robeson County0.8Wayne County: 0.8 %Wayne County0.8Chatham County: 0.4 %Chatham County0.4Macon County: 0.3 %Macon County0.3Duplin County: 0 %Duplin County0Gaston County: 0 %Gaston County0Henderson County: 0 %Henderson County0Mitchell County: 0 %Mitchell County0Onslow County: 0 %Onslow County0Swain County: 0 %Swain County0Watauga County: 0 %Watauga County0Rowan County: 10.8 %Rowan County10.8Mecklenburg County: 9.3 %Mecklenburg County9.3Granville County: 8.9 %Granville County8.9Franklin County: 6.1 %Franklin County6.1Randolph County: 6.1 %Randolph County6.1Union County: 6.1 %Union County6.1Lincoln County: 5.2 %Lincoln County5.2Davie County: 4.9 %Davie County4.9Forsyth County: 4.9 %Forsyth County4.9Wake County: 4.9 %Wake County4.9Johnston County: 4.7 %Johnston County4.7Person County: 3.8 %Person County3.8Graham County: 3.3 %Graham County3.3Rockingham County: 3.3 %Rockingham County3.3Cumberland County: 3 %Cumberland County3Haywood County: 3 %Haywood County3Pitt County: 2.7 %Pitt County2.7Camden County: 2.4 %Camden County2.4Caswell County: 2.3 %Caswell County2.3Catawba County: 2.3 %Catawba County2.3Edgecombe County: 2.3 %Edgecombe County2.3Guilford County: 2.2 %Guilford County2.2Martin County: 2 %Martin County2Alexander County: 1.9 %Alexander County1.9Durham County: 1.9 %Durham County1.9McDowell County: 1.7 %McDowell County1.7Davidson County: 1.6 %Davidson County1.6Yancey County: 1.5 %Yancey County1.5Caldwell County: 1.4 %Caldwell County1.4Jackson County: 1.2 %Jackson County1.2Lenoir County: 1.2 %Lenoir County1.2Buncombe County: 1.1 %Buncombe County1.1Montgomery County: 1.1 %Montgomery County1.1Alamance County: 0.9 %Alamance County0.9New Hanover County: 0.9 %New Hanover County0.9Avery County: 0.8 %Avery County0.8Cabarrus County: 0.8 %Cabarrus County0.8Carteret County: 0.8 %Carteret County0.8Orange County: 0.8 %Orange County0.8Robeson County: 0.8 %Robeson County0.8Wayne County: 0.8 %Wayne County0.8Chatham County: 0.4 %Chatham County0.4Macon County: 0.3 %Macon County0.3Duplin County: 0 %Duplin County0Gaston County: 0 %Gaston County0Henderson County: 0 %Henderson County0Mitchell County: 0 %Mitchell County0Onslow County: 0 %Onslow County0Swain County: 0 %Swain County0Watauga County: 0 %Watauga County0
%. Source: Invokely calculation with data from EPA. Retrieved 2026-10-12.

Full ranking

RankCounties2004 (%)Change on 2003
1Rowan County10.8-5.1 pts
2Mecklenburg County9.3+2.2 pts
3Granville County8.9-2.8 pts
4Franklin County6.1-3 pts
4Randolph County6.1+0.4 pts
4Union County6.1+0.8 pts
7Lincoln County5.2-5.2 pts
8Davie County4.9-6.3 pts
8Forsyth County4.9-1.1 pts
8Wake County4.9-3.4 pts
11Johnston County4.7+0.4 pts
12Person County3.8-7 pts
13Graham County3.3-3.4 pts
13Rockingham County3.3-5.2 pts
15Cumberland County3-1.4 pts
15Haywood County3-7.2 pts
17Pitt County2.7-0.5 pts
18Camden County2.4-2 pts
19Caswell County2.3-5.2 pts
19Catawba County2.3-0.2 pts
19Edgecombe County2.3-4.9 pts
22Guilford County2.2-1.9 pts
23Martin County2-1.6 pts
24Alexander County1.9-6.1 pts
24Durham County1.9-2.7 pts
26McDowell County1.7-0.2 pts
27Davidson County1.6-0.9 pts
28Yancey County1.5-6.8 pts
29Caldwell County1.4-4.7 pts
30Jackson County1.2-8.1 pts
30Lenoir County1.2-2.3 pts
32Buncombe County1.1-0.9 pts
32Montgomery County1.1-1.8 pts
34Alamance County0.9-0.9 pts
34New Hanover County0.9-1.4 pts
36Avery County0.8-2.5 pts
36Cabarrus County0.80 pts
36Carteret County0.8-1.2 pts
36Orange County0.8-0.1 pts
36Robeson County0.8+0.8 pts
36Wayne County0.8-0.1 pts
42Chatham County0.4-2.3 pts
43Macon County0.3-0.3 pts
44Duplin County0-1.9 pts
44Gaston County0-0.8 pts
44Henderson County00 pts
44Mitchell County0-0.9 pts
44Onslow County00 pts
44Swain County0-1.9 pts
44Watauga County0-0.9 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. 12 counties with data in other periods have no value for 2004 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), 2004) [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), 2004. 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. 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), 2004. 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.

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), 2004 [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 (Accessed: 12 October 2026).

BibTeX
@misc{environmental_counties_in_north_carolina_2004,
  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), 2004}},
  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. 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), 2004
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
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/unhealthy-air-quality-days-share/north-carolina-counties.
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 10.8% in 2004, 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 2004.

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. 12 counties have no value for 2004 and are not ranked.

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

Counties in North Carolina: more rankings