A total of 100 results found. Show Results on Map.
Rank | Other Structure House Percentage ▼ | County / Population |
1. | 38.1% | Robeson, NC / 127,686 |
2. | 36.0% | Bladen, NC / 32,412 |
3. | 35.5% | Sampson, NC / 62,996 |
4. | 35.0% | Warren, NC / 19,545 |
5. | 33.2% | Montgomery, NC / 27,456 |
6. | 32.9% | Duplin, NC / 52,358 |
7. | 32.1% | Pender, NC / 49,408 |
8. | 31.3% | Greene, NC / 20,402 |
9. | 30.9% | Bertie, NC / 19,187 |
10. | 30.7% | Alexander, NC / 36,278 |
11. | 30.6% | Pamlico, NC / 12,470 |
12. | 30.3% | Gates, NC / 11,555 |
13. | 30.0% | Caswell, NC / 23,228 |
14. | 29.4% | Jones, NC / 10,028 |
15. | 29.4% | Columbus, NC / 54,050 |
16. | 29.2% | Brunswick, NC / 98,712 |
17. | 28.6% | Stokes, NC / 45,916 |
18. | 28.4% | Hoke, NC / 42,410 |
19. | 28.0% | Yadkin, NC / 37,520 |
20. | 28.0% | Franklin, NC / 57,201 |
21. | 27.9% | Beaufort, NC / 45,993 |
22. | 27.8% | Perquimans, NC / 12,367 |
23. | 27.4% | Wilkes, NC / 66,563 |
24. | 27.2% | Vance, NC / 42,987 |
25. | 27.1% | Tyrrell, NC / 4,112 |
26. | 26.7% | Harnett, NC / 108,885 |
27. | 26.3% | Mcdowell, NC / 43,587 |
28. | 26.1% | Graham, NC / 7,964 |
29. | 25.8% | Scotland, NC / 36,394 |
30. | 25.8% | Hyde, NC / 5,256 |
31. | 25.7% | Burke, NC / 88,987 |
32. | 25.7% | Chowan, NC / 14,629 |
33. | 25.4% | Granville, NC / 55,670 |
34. | 25.2% | Richmond, NC / 45,947 |
35. | 25.0% | Anson, NC / 25,243 |
36. | 25.0% | Person, NC / 37,301 |
37. | 24.9% | Madison, NC / 20,227 |
38. | 24.8% | Surry, NC / 72,166 |
39. | 24.2% | Mitchell, NC / 15,690 |
40. | 23.5% | Northampton, NC / 20,611 |
41. | 23.4% | Wayne, NC / 113,290 |
42. | 23.1% | Lenoir, NC / 56,831 |
43. | 22.8% | Washington, NC / 12,979 |
44. | 22.8% | Ashe, NC / 25,467 |
45. | 22.6% | Swain, NC / 13,367 |
46. | 22.2% | Randolph, NC / 139,443 |
47. | 22.0% | Halifax, NC / 55,118 |
48. | 21.9% | Martin, NC / 23,699 |
49. | 21.5% | Lincoln, NC / 72,728 |
50. | 21.4% | Rutherford, NC / 63,153 |
51. | 21.3% | Onslow, NC / 165,181 |
52. | 21.2% | Carteret, NC / 63,369 |
53. | 21.1% | Edgecombe, NC / 52,586 |
54. | 20.8% | Cherokee, NC / 26,203 |
55. | 20.2% | Cleveland, NC / 98,331 |
56. | 20.1% | Caldwell, NC / 79,382 |
57. | 19.9% | Currituck, NC / 23,713 |
58. | 19.9% | Yancey, NC / 18,336 |
59. | 19.6% | Johnston, NC / 156,888 |
60. | 19.1% | Jackson, NC / 36,447 |
61. | 19.1% | Rowan, NC / 137,387 |
62. | 18.9% | Nash, NC / 92,814 |
63. | 18.7% | Hertford, NC / 23,281 |
64. | 18.6% | Rockingham, NC / 92,007 |
65. | 18.6% | Haywood, NC / 56,535 |
66. | 18.3% | Davie, NC / 40,297 |
67. | 17.8% | Clay, NC / 10,084 |
68. | 17.7% | Alleghany, NC / 10,905 |
69. | 17.6% | Henderson, NC / 100,333 |
70. | 17.3% | Camden, NC / 9,375 |
71. | 17.3% | Buncombe, NC / 225,869 |
72. | 17.3% | Macon, NC / 32,607 |
73. | 16.9% | Chatham, NC / 61,444 |
74. | 16.8% | Lee, NC / 57,919 |
75. | 16.4% | Transylvania, NC / 29,886 |
76. | 16.1% | Davidson, NC / 156,033 |
77. | 16.0% | Polk, NC / 19,107 |
78. | 15.7% | Iredell, NC / 150,346 |
79. | 15.5% | Moore, NC / 84,280 |
80. | 15.4% | Craven, NC / 96,789 |
81. | 15.1% | Alamance, NC / 144,769 |
82. | 15.0% | Catawba, NC / 155,157 |
83. | 15.0% | Stanly, NC / 59,136 |
84. | 14.6% | Avery, NC / 17,903 |
85. | 14.2% | Wilson, NC / 76,765 |
86. | 13.7% | Pitt, NC / 151,931 |
87. | 13.5% | Pasquotank, NC / 40,334 |
88. | 13.2% | Cumberland, NC / 309,316 |
89. | 11.8% | Gaston, NC / 202,149 |
90. | 10.2% | Cabarrus, NC / 161,473 |
91. | 9.7% | Watauga, NC / 44,636 |
92. | 9.3% | Orange, NC / 124,503 |
93. | 8.4% | Union, NC / 181,852 |
94. | 6.8% | Dare, NC / 33,976 |
95. | 4.6% | Forsyth, NC / 346,851 |
96. | 4.4% | New Hanover, NC / 189,463 |
97. | 3.8% | Wake, NC / 828,759 |
98. | 3.3% | Guilford, NC / 464,041 |
99. | 2.0% | Mecklenburg, NC / 861,189 |
100. | 1.4% | Durham, NC / 256,296 |
Please note that we only rank locations with 'Other Structure House Percentage' data. The rank above might not be a complete list. Locations without 'Other Structure House 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.