A total of 100 results found. Show Results on Map.
Rank | White Population Percentage ▼ | County / Population |
1. | 97.3% | Yancey, NC / 17,911 |
2. | 96.5% | Madison, NC / 20,549 |
2. | 96.5% | Clay, NC / 10,418 |
4. | 96.5% | Mitchell, NC / 15,680 |
5. | 96.1% | Ashe, NC / 26,787 |
6. | 95.8% | Haywood, NC / 58,597 |
7. | 94.8% | Watauga, NC / 49,705 |
8. | 94.1% | Stokes, NC / 47,194 |
9. | 93.9% | Dare, NC / 33,650 |
10. | 93.5% | Macon, NC / 33,453 |
11. | 93.1% | Cherokee, NC / 27,317 |
12. | 92.4% | Surry, NC / 73,287 |
13. | 92.3% | Mcdowell, NC / 44,593 |
14. | 92.2% | Polk, NC / 20,289 |
15. | 92.1% | Transylvania, NC / 32,404 |
16. | 90.6% | Currituck, NC / 23,299 |
17. | 90.5% | Alleghany, NC / 11,084 |
18. | 90.4% | Graham, NC / 8,702 |
19. | 90.4% | Wilkes, NC / 69,063 |
20. | 90.4% | Yadkin, NC / 38,158 |
21. | 89.8% | Caldwell, NC / 82,162 |
22. | 89.7% | Lincoln, NC / 75,697 |
23. | 88.9% | Davie, NC / 40,581 |
24. | 88.9% | Alexander, NC / 36,797 |
25. | 88.9% | Carteret, NC / 65,068 |
26. | 88.8% | Buncombe, NC / 233,249 |
27. | 88.3% | Henderson, NC / 103,881 |
28. | 87.2% | Avery, NC / 17,951 |
29. | 86.5% | Rutherford, NC / 66,928 |
30. | 86.3% | Randolph, NC / 140,034 |
31. | 86.1% | Davidson, NC / 160,638 |
32. | 85.4% | Burke, NC / 90,557 |
33. | 84.3% | Jackson, NC / 39,144 |
34. | 84.1% | Stanly, NC / 60,109 |
35. | 84.0% | Brunswick, NC / 101,994 |
36. | 82.2% | Iredell, NC / 154,632 |
37. | 82.1% | Union, NC / 190,346 |
38. | 81.9% | Catawba, NC / 153,149 |
39. | 81.5% | Moore, NC / 85,914 |
40. | 81.2% | Camden, NC / 9,719 |
41. | 79.3% | Cabarrus, NC / 169,990 |
42. | 79.0% | New Hanover, NC / 197,272 |
43. | 78.8% | Gaston, NC / 202,642 |
44. | 78.0% | Johnston, NC / 160,675 |
45. | 77.2% | Chatham, NC / 61,426 |
46. | 77.1% | Rowan, NC / 136,880 |
47. | 76.5% | Pamlico, NC / 13,072 |
48. | 76.4% | Pender, NC / 50,256 |
49. | 76.4% | Cleveland, NC / 97,786 |
50. | 76.0% | Orange, NC / 129,562 |
51. | 75.8% | Rockingham, NC / 93,322 |
52. | 73.3% | Onslow, NC / 169,207 |
53. | 72.3% | Montgomery, NC / 27,611 |
54. | 72.2% | Perquimans, NC / 13,091 |
55. | 70.1% | Alamance, NC / 147,072 |
56. | 69.5% | Craven, NC / 100,001 |
57. | 69.5% | Person, NC / 38,942 |
58. | 68.7% | Harnett, NC / 109,031 |
59. | 68.0% | Beaufort, NC / 47,185 |
60. | 67.9% | Swain, NC / 13,861 |
61. | 67.9% | Wake, NC / 850,546 |
62. | 66.6% | Franklin, NC / 58,473 |
63. | 65.5% | Lee, NC / 55,576 |
64. | 63.6% | Forsyth, NC / 342,989 |
65. | 62.9% | Gates, NC / 12,039 |
66. | 62.8% | Caswell, NC / 23,848 |
67. | 62.3% | Jones, NC / 10,060 |
68. | 61.7% | Columbus, NC / 56,856 |
69. | 61.6% | Richmond, NC / 46,477 |
70. | 61.6% | Chowan, NC / 14,859 |
71. | 60.1% | Pitt, NC / 161,385 |
72. | 59.4% | Granville, NC / 58,071 |
73. | 59.0% | Wayne, NC / 120,102 |
74. | 58.8% | Guilford, NC / 475,786 |
75. | 58.4% | Mecklenburg, NC / 882,761 |
76. | 58.2% | Tyrrell, NC / 4,374 |
77. | 57.9% | Pasquotank, NC / 40,167 |
78. | 57.4% | Duplin, NC / 56,657 |
79. | 57.3% | Hyde, NC / 5,721 |
80. | 56.8% | Bladen, NC / 34,629 |
81. | 56.8% | Nash, NC / 94,402 |
82. | 56.6% | Sampson, NC / 62,832 |
83. | 52.8% | Lenoir, NC / 59,307 |
84. | 52.8% | Martin, NC / 24,471 |
85. | 52.2% | Greene, NC / 21,157 |
86. | 51.9% | Wilson, NC / 79,533 |
87. | 51.9% | Cumberland, NC / 312,994 |
88. | 48.2% | Scotland, NC / 36,325 |
89. | 46.6% | Anson, NC / 26,785 |
90. | 46.4% | Hoke, NC / 44,128 |
91. | 46.3% | Durham, NC / 258,578 |
92. | 45.8% | Washington, NC / 13,248 |
93. | 42.8% | Vance, NC / 44,975 |
94. | 40.5% | Halifax, NC / 55,293 |
95. | 40.0% | Northampton, NC / 22,161 |
96. | 39.2% | Edgecombe, NC / 56,247 |
97. | 38.6% | Warren, NC / 20,810 |
98. | 36.2% | Hertford, NC / 24,384 |
99. | 35.9% | Bertie, NC / 20,890 |
100. | 31.3% | Robeson, NC / 131,708 |
Please note that we only rank locations with 'White Population Percentage' data. The rank above might not be a complete list. Locations without 'White Population Percentage' data are not listed.
*ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.