North Carolina Census 2020 Hispanic - Asian Alone Population By County
According to the data from the US 2020 decennial Census, as at April 2020, there were 2,992 people who identified as Hispanic - Asian Alone in North Carolina, which was 0.03% of the total North Carolina population.
Mecklenburg County had the highest number of people who identified as Hispanic - Asian Alone (452), followed by Wake County (377), and Cumberland County (230). On the other hand, the three counties with the least number of people who identified as Hispanic - Asian Alone were: Yancey County (0), Wilson County (0), and Washington County (0).
When it comes to the percentage of each county's population that identify as Hispanic - Asian Alone, Onslow County had the highest percentage (0.11%), followed by Pamlico County (0.10%), and Cumberland County (0.07%).
Hover over or click on the counties to see the number and percentage of each county's Hispanic - Asian Alone population. The data can also be filtered, sorted, and explored further in a table below.
You can see similar information for other ethnicities, and also for the different racial groups in North Carolina.
You can also see this information for other states and also for the US by state.
| County | Hispanic - Asian Alone Population | % of County Population |
|---|---|---|
| Alamance | 37 | 0.02 |
| Alexander | 2 | 0.01 |
| Alleghany | 0 | 0.00 |
| Anson | 0 | 0.00 |
| Ashe | 1 | 0.00 |
| Avery | 7 | 0.04 |
| Beaufort | 2 | 0.00 |
| Bertie | 0 | 0.00 |
| Bladen | 1 | 0.00 |
| Brunswick | 20 | 0.02 |
| Buncombe | 48 | 0.02 |
| Burke | 18 | 0.02 |
| Cabarrus | 51 | 0.02 |
| Caldwell | 17 | 0.02 |
| Camden | 1 | 0.01 |
| Carteret | 10 | 0.02 |
| Caswell | 3 | 0.01 |
| Catawba | 86 | 0.05 |
| Chatham | 11 | 0.01 |
| Cherokee | 0 | 0.00 |
| Chowan | 1 | 0.01 |
| Clay | 0 | 0.00 |
| Cleveland | 7 | 0.01 |
| Columbus | 5 | 0.01 |
| Craven | 34 | 0.03 |
| Cumberland | 230 | 0.07 |
| Currituck | 10 | 0.04 |
| Dare | 5 | 0.01 |
| Davidson | 28 | 0.02 |
| Davie | 3 | 0.01 |
| Duplin | 18 | 0.04 |
| Durham | 110 | 0.03 |
| Edgecombe | 1 | 0.00 |
| Forsyth | 101 | 0.03 |
| Franklin | 13 | 0.02 |
| Gaston | 34 | 0.02 |
| Gates | 4 | 0.04 |
| Graham | 2 | 0.03 |
| Granville | 4 | 0.01 |
| Greene | 0 | 0.00 |
| Guilford | 203 | 0.04 |
| Halifax | 3 | 0.01 |
| Harnett | 86 | 0.06 |
| Haywood | 10 | 0.02 |
| Henderson | 51 | 0.04 |
| Hertford | 10 | 0.05 |
| Hoke | 34 | 0.07 |
| Hyde | 0 | 0.00 |
| Iredell | 67 | 0.04 |
| Jackson | 15 | 0.04 |
| Johnston | 55 | 0.03 |
| Jones | 2 | 0.02 |
| Lee | 20 | 0.03 |
| Lenoir | 4 | 0.01 |
| Lincoln | 19 | 0.02 |
| McDowell | 0 | 0.00 |
| Macon | 15 | 0.04 |
| Madison | 3 | 0.01 |
| Martin | 1 | 0.01 |
| Mecklenburg | 452 | 0.04 |
| Mitchell | 2 | 0.01 |
| Montgomery | 2 | 0.01 |
| Moore | 27 | 0.03 |
| Nash | 11 | 0.01 |
| New Hanover | 47 | 0.02 |
| Northampton | 0 | 0.00 |
| Onslow | 221 | 0.11 |
| Orange | 59 | 0.04 |
| Pamlico | 12 | 0.10 |
| Pasquotank | 12 | 0.03 |
| Pender | 23 | 0.04 |
| Perquimans | 3 | 0.02 |
| Person | 1 | 0.00 |
| Pitt | 22 | 0.01 |
| Polk | 0 | 0.00 |
| Randolph | 15 | 0.01 |
| Richmond | 4 | 0.01 |
| Robeson | 11 | 0.01 |
| Rockingham | 7 | 0.01 |
| Rowan | 17 | 0.01 |
| Rutherford | 5 | 0.01 |
| Sampson | 15 | 0.03 |
| Scotland | 4 | 0.01 |
| Stanly | 5 | 0.01 |
| Stokes | 1 | 0.00 |
| Surry | 8 | 0.01 |
| Swain | 1 | 0.01 |
| Transylvania | 0 | 0.00 |
| Tyrrell | 0 | 0.00 |
| Union | 56 | 0.02 |
| Vance | 2 | 0.01 |
| Wake | 377 | 0.03 |
| Warren | 0 | 0.00 |
| Washington | 0 | 0.00 |
| Watauga | 7 | 0.01 |
| Wayne | 38 | 0.03 |
| Wilkes | 1 | 0.00 |
| Wilson | 0 | 0.00 |
| Yadkin | 1 | 0.00 |
| Yancey | 0 | 0.00 |