A total of 100 results found. Show Results on Map.
Rank | White Population Percentage ▼ | County / Population |
1. | 97.3% | Mitchell, NC / 15,539 |
2. | 97.2% | Yancey, NC / 17,814 |
3. | 96.2% | Clay, NC / 10,575 |
4. | 96.1% | Madison, NC / 20,727 |
5. | 95.6% | Haywood, NC / 58,915 |
6. | 94.4% | Watauga, NC / 51,103 |
7. | 94.3% | Ashe, NC / 27,099 |
8. | 93.7% | Stokes, NC / 47,224 |
9. | 93.6% | Macon, NC / 33,815 |
10. | 93.1% | Cherokee, NC / 27,304 |
11. | 92.9% | Dare, NC / 34,019 |
12. | 92.8% | Alleghany, NC / 11,069 |
13. | 92.1% | Mcdowell, NC / 44,926 |
14. | 92.1% | Transylvania, NC / 32,825 |
15. | 92.1% | Polk, NC / 20,386 |
16. | 92.0% | Surry, NC / 73,551 |
17. | 90.6% | Henderson, NC / 106,577 |
18. | 90.6% | Lincoln, NC / 78,052 |
19. | 90.6% | Currituck, NC / 23,677 |
20. | 90.5% | Wilkes, NC / 69,265 |
21. | 90.4% | Yadkin, NC / 38,254 |
22. | 90.0% | Caldwell, NC / 82,493 |
23. | 89.7% | Graham, NC / 8,766 |
24. | 88.8% | Alexander, NC / 37,014 |
25. | 88.8% | Carteret, NC / 66,415 |
26. | 88.6% | Buncombe, NC / 239,000 |
27. | 88.0% | Randolph, NC / 141,568 |
28. | 87.7% | Davie, NC / 41,183 |
29. | 87.0% | Avery, NC / 17,815 |
30. | 86.5% | Rutherford, NC / 67,446 |
31. | 85.9% | Davidson, NC / 162,628 |
32. | 85.5% | Burke, NC / 90,821 |
33. | 84.9% | Stanly, NC / 60,489 |
34. | 84.6% | Brunswick, NC / 107,925 |
35. | 84.3% | Jackson, NC / 39,985 |
36. | 82.6% | Catawba, NC / 154,201 |
37. | 82.3% | Moore, NC / 88,314 |
38. | 82.2% | Camden, NC / 9,965 |
39. | 82.2% | Iredell, NC / 159,614 |
40. | 81.8% | Union, NC / 201,617 |
41. | 80.5% | New Hanover, NC / 203,276 |
42. | 78.5% | Chatham, NC / 63,896 |
43. | 78.4% | Johnston, NC / 169,122 |
44. | 78.3% | Cabarrus, NC / 178,396 |
45. | 78.0% | Gaston, NC / 206,291 |
46. | 77.4% | Rowan, NC / 138,189 |
47. | 76.9% | Pamlico, NC / 13,145 |
48. | 76.5% | Cleveland, NC / 97,890 |
49. | 76.3% | Pender, NC / 52,447 |
50. | 76.2% | Orange, NC / 133,958 |
51. | 75.9% | Montgomery, NC / 27,741 |
52. | 75.6% | Rockingham, NC / 93,264 |
53. | 74.5% | Onslow, NC / 176,461 |
54. | 71.5% | Perquimans, NC / 13,414 |
55. | 70.2% | Craven, NC / 102,904 |
56. | 69.9% | Alamance, NC / 151,170 |
57. | 69.4% | Harnett, NC / 115,559 |
58. | 68.8% | Person, NC / 39,322 |
59. | 68.5% | Wake, NC / 905,573 |
60. | 68.3% | Beaufort, NC / 47,542 |
61. | 67.5% | Swain, NC / 13,995 |
62. | 67.1% | Franklin, NC / 60,470 |
63. | 66.5% | Lee, NC / 57,876 |
64. | 65.4% | Forsyth, NC / 351,368 |
65. | 63.5% | Gates, NC / 12,069 |
66. | 62.9% | Chowan, NC / 14,825 |
67. | 62.6% | Caswell, NC / 23,615 |
68. | 62.3% | Jones, NC / 10,144 |
69. | 62.2% | Richmond, NC / 46,608 |
70. | 61.3% | Columbus, NC / 57,612 |
71. | 60.6% | Granville, NC / 59,666 |
72. | 59.7% | Pitt, NC / 167,951 |
73. | 59.4% | Hyde, NC / 5,810 |
74. | 58.0% | Mecklenburg, NC / 926,873 |
75. | 57.8% | Bladen, NC / 34,922 |
76. | 57.8% | Guilford, NC / 489,576 |
77. | 57.6% | Pasquotank, NC / 40,551 |
78. | 57.4% | Sampson, NC / 63,408 |
79. | 57.4% | Wayne, NC / 122,419 |
80. | 57.2% | Duplin, NC / 58,510 |
81. | 56.3% | Nash, NC / 95,545 |
82. | 55.6% | Tyrrell, NC / 4,367 |
83. | 53.4% | Lenoir, NC / 59,372 |
84. | 53.1% | Martin, NC / 24,298 |
85. | 51.9% | Cumberland, NC / 319,329 |
86. | 51.7% | Wilson, NC / 81,020 |
87. | 49.7% | Greene, NC / 21,386 |
88. | 48.9% | Durham, NC / 269,283 |
89. | 47.5% | Anson, NC / 26,699 |
90. | 47.2% | Scotland, NC / 36,266 |
91. | 47.1% | Hoke, NC / 47,368 |
92. | 46.4% | Washington, NC / 13,085 |
93. | 42.3% | Vance, NC / 45,183 |
94. | 40.2% | Halifax, NC / 54,693 |
95. | 40.0% | Northampton, NC / 21,959 |
96. | 39.1% | Edgecombe, NC / 56,253 |
97. | 38.4% | Warren, NC / 20,860 |
98. | 35.9% | Hertford, NC / 24,525 |
99. | 35.5% | Bertie, NC / 21,035 |
100. | 31.0% | Robeson, NC / 133,920 |
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.