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 50 counties in 1999, at 40.2%. McDowell County had the lowest, at 0%. The median was 10%. Source: EPA.

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Highest40.2Rowan County
Median1050 counties

Map of counties, 1999

Alamance County: 4 %Alexander County: 6.1 %Avery County: 11.6 %Buncombe County: 14.1 %Cabarrus County: 0.9 %Caldwell County: 27.6 %Camden County: 15.9 %Carteret County: 5.3 %Caswell County: 10 %Catawba County: 1.7 %Chatham County: 8.8 %Cumberland County: 13.2 %Davidson County: 3.6 %Davie County: 31 %Duplin County: 12.9 %Durham County: 9.1 %Edgecombe County: 16.7 %Forsyth County: 15.9 %Franklin County: 13.7 %Gaston County: 0.9 %Granville County: 8.7 %Guilford County: 15.4 %Harnett County: 0 %Haywood County: 33.3 %Henderson County: 0 %Jackson County: 30.6 %Johnston County: 20.1 %Lenoir County: 12 %Lincoln County: 9 %McDowell County: 0 %Macon County: 4.5 %Martin County: 9.9 %Mecklenburg County: 20 %Mitchell County: 0.9 %Montgomery County: 16 %New Hanover County: 1.4 %Northampton County: 19.2 %Onslow County: 2.6 %Orange County: 0.9 %Pasquotank County: 2.2 %Person County: 24.5 %Pitt County: 14 %Robeson County: 1.1 %Rockingham County: 4.8 %Rowan County: 40.2 %Swain County: 5.1 %Union County: 21.3 %Wake County: 20.1 %Wayne County: 4.5 %Yancey County: 25.1 %
  • Under 1.4
  • 1.4 to 4.9
  • 4.9 to 9.9
  • 9.9 to 15
  • 15 to 20
  • 20 and over
  • No data
%, 1999. 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, 1999

Rowan County: 40.2 %Rowan County40.2Haywood County: 33.3 %Haywood County33.3Davie County: 31 %Davie County31Jackson County: 30.6 %Jackson County30.6Caldwell County: 27.6 %Caldwell County27.6Yancey County: 25.1 %Yancey County25.1Person County: 24.5 %Person County24.5Union County: 21.3 %Union County21.3Johnston County: 20.1 %Johnston County20.1Wake County: 20.1 %Wake County20.1Mecklenburg County: 20 %Mecklenburg County20Northampton County: 19.2 %Northampton County19.2Edgecombe County: 16.7 %Edgecombe County16.7Montgomery County: 16 %Montgomery County16Camden County: 15.9 %Camden County15.9Forsyth County: 15.9 %Forsyth County15.9Guilford County: 15.4 %Guilford County15.4Buncombe County: 14.1 %Buncombe County14.1Pitt County: 14 %Pitt County14Franklin County: 13.7 %Franklin County13.7Cumberland County: 13.2 %Cumberland County13.2Duplin County: 12.9 %Duplin County12.9Lenoir County: 12 %Lenoir County12Avery County: 11.6 %Avery County11.6Caswell County: 10 %Caswell County10Martin County: 9.9 %Martin County9.9Durham County: 9.1 %Durham County9.1Lincoln County: 9 %Lincoln County9Chatham County: 8.8 %Chatham County8.8Granville County: 8.7 %Granville County8.7Alexander County: 6.1 %Alexander County6.1Carteret County: 5.3 %Carteret County5.3Swain County: 5.1 %Swain County5.1Rockingham County: 4.8 %Rockingham County4.8Macon County: 4.5 %Macon County4.5Wayne County: 4.5 %Wayne County4.5Alamance County: 4 %Alamance County4Davidson County: 3.6 %Davidson County3.6Onslow County: 2.6 %Onslow County2.6Pasquotank County: 2.2 %Pasquotank County2.2Catawba County: 1.7 %Catawba County1.7New Hanover County: 1.4 %New Hanover County1.4Robeson County: 1.1 %Robeson County1.1Cabarrus County: 0.9 %Cabarrus County0.9Gaston County: 0.9 %Gaston County0.9Mitchell County: 0.9 %Mitchell County0.9Orange County: 0.9 %Orange County0.9Harnett County: 0 %Harnett County0Henderson County: 0 %Henderson County0McDowell County: 0 %McDowell County0Rowan County: 40.2 %Rowan County40.2Haywood County: 33.3 %Haywood County33.3Davie County: 31 %Davie County31Jackson County: 30.6 %Jackson County30.6Caldwell County: 27.6 %Caldwell County27.6Yancey County: 25.1 %Yancey County25.1Person County: 24.5 %Person County24.5Union County: 21.3 %Union County21.3Johnston County: 20.1 %Johnston County20.1Wake County: 20.1 %Wake County20.1Mecklenburg County: 20 %Mecklenburg County20Northampton County: 19.2 %Northampton County19.2Edgecombe County: 16.7 %Edgecombe County16.7Montgomery County: 16 %Montgomery County16Camden County: 15.9 %Camden County15.9Forsyth County: 15.9 %Forsyth County15.9Guilford County: 15.4 %Guilford County15.4Buncombe County: 14.1 %Buncombe County14.1Pitt County: 14 %Pitt County14Franklin County: 13.7 %Franklin County13.7Cumberland County: 13.2 %Cumberland County13.2Duplin County: 12.9 %Duplin County12.9Lenoir County: 12 %Lenoir County12Avery County: 11.6 %Avery County11.6Caswell County: 10 %Caswell County10Martin County: 9.9 %Martin County9.9Durham County: 9.1 %Durham County9.1Lincoln County: 9 %Lincoln County9Chatham County: 8.8 %Chatham County8.8Granville County: 8.7 %Granville County8.7Alexander County: 6.1 %Alexander County6.1Carteret County: 5.3 %Carteret County5.3Swain County: 5.1 %Swain County5.1Rockingham County: 4.8 %Rockingham County4.8Macon County: 4.5 %Macon County4.5Wayne County: 4.5 %Wayne County4.5Alamance County: 4 %Alamance County4Davidson County: 3.6 %Davidson County3.6Onslow County: 2.6 %Onslow County2.6Pasquotank County: 2.2 %Pasquotank County2.2Catawba County: 1.7 %Catawba County1.7New Hanover County: 1.4 %New Hanover County1.4Robeson County: 1.1 %Robeson County1.1Cabarrus County: 0.9 %Cabarrus County0.9Gaston County: 0.9 %Gaston County0.9Mitchell County: 0.9 %Mitchell County0.9Orange County: 0.9 %Orange County0.9Harnett County: 0 %Harnett County0Henderson County: 0 %Henderson County0McDowell County: 0 %McDowell County0
%. Source: Invokely calculation with data from EPA. Retrieved 2026-10-12.

Full ranking

RankCounties1999 (%)Change on 1998
1Rowan County40.2+10.8 pts
2Haywood County33.3+4.4 pts
3Davie County31+1.4 pts
4Jackson County30.6n/a
5Caldwell County27.6+2.2 pts
6Yancey County25.1+23.8 pts
7Person County24.5+2.5 pts
8Union County21.3n/a
9Johnston County20.1-7.9 pts
9Wake County20.1-4.6 pts
11Mecklenburg County20-4.7 pts
12Northampton County19.2+8.5 pts
13Edgecombe County16.7+5 pts
14Montgomery County16-0.3 pts
15Camden County15.9+8.9 pts
15Forsyth County15.9-3 pts
17Guilford County15.4-0.8 pts
18Buncombe County14.1+5 pts
19Pitt County14-1.8 pts
20Franklin County13.7-11.9 pts
21Cumberland County13.2-5.2 pts
22Duplin County12.9-10.7 pts
23Lenoir County12-4.8 pts
24Avery County11.6+1 pts
25Caswell County10-19.9 pts
26Martin County9.9+2.4 pts
27Durham County9.1-5.1 pts
28Lincoln County9-11.7 pts
29Chatham County8.8-14.6 pts
30Granville County8.7-19 pts
31Alexander County6.1-20.2 pts
32Carteret County5.3-3 pts
33Swain County5.1-5 pts
34Rockingham County4.8-14.6 pts
35Macon County4.5+1.2 pts
35Wayne County4.5+4.5 pts
37Alamance County4n/a
38Davidson County3.6+3.6 pts
39Onslow County2.6+2.6 pts
40Pasquotank County2.2+2.2 pts
41Catawba County1.7+1.7 pts
42New Hanover County1.4-6.6 pts
43Robeson County1.1n/a
44Cabarrus County0.9+0.9 pts
44Gaston County0.9+0.9 pts
44Mitchell County0.9+0.9 pts
44Orange County0.9+0.9 pts
48Harnett County00 pts
48Henderson County00 pts
48McDowell 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. 12 counties with data in other periods have no value for 1999 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), 1999) [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), 1999. 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=1999. 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), 1999. 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=1999.

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), 1999 [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=1999 (Accessed: 12 October 2026).

BibTeX
@misc{environmental_counties_in_north_carolina_1999,
  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), 1999}},
  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=1999. 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), 1999
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=1999
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/unhealthy-air-quality-days-share/north-carolina-counties?period=1999.
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 40.2% in 1999, according to EPA.

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

McDowell County, with 0% in 1999.

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 1999 and are not ranked.

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

Counties in North Carolina: more rankings