A total of 100 results found. Show Results on Map.
Rank | Other Structure House Percentage ▼ | County / Population |
1. | 38.6% | Robeson, NC / 131,708 |
2. | 36.0% | Bladen, NC / 34,629 |
3. | 35.6% | Sampson, NC / 62,832 |
4. | 34.0% | Montgomery, NC / 27,611 |
5. | 33.7% | Pamlico, NC / 13,072 |
6. | 33.3% | Warren, NC / 20,810 |
7. | 32.4% | Duplin, NC / 56,657 |
8. | 31.7% | Bertie, NC / 20,890 |
9. | 31.6% | Alexander, NC / 36,797 |
10. | 31.5% | Greene, NC / 21,157 |
11. | 31.0% | Gates, NC / 12,039 |
12. | 30.0% | Columbus, NC / 56,856 |
13. | 29.9% | Pender, NC / 50,256 |
14. | 29.4% | Caswell, NC / 23,848 |
15. | 28.9% | Jones, NC / 10,060 |
16. | 28.6% | Vance, NC / 44,975 |
17. | 28.4% | Yadkin, NC / 38,158 |
18. | 28.3% | Perquimans, NC / 13,091 |
19. | 27.8% | Mcdowell, NC / 44,593 |
20. | 27.8% | Stokes, NC / 47,194 |
21. | 27.3% | Scotland, NC / 36,325 |
22. | 27.1% | Brunswick, NC / 101,994 |
23. | 26.9% | Hoke, NC / 44,128 |
24. | 26.9% | Beaufort, NC / 47,185 |
25. | 26.7% | Franklin, NC / 58,473 |
26. | 26.7% | Graham, NC / 8,702 |
27. | 26.4% | Wilkes, NC / 69,063 |
28. | 26.3% | Swain, NC / 13,861 |
29. | 25.8% | Anson, NC / 26,785 |
30. | 25.5% | Richmond, NC / 46,477 |
31. | 25.4% | Harnett, NC / 109,031 |
32. | 25.0% | Granville, NC / 58,071 |
33. | 24.9% | Surry, NC / 73,287 |
34. | 24.9% | Person, NC / 38,942 |
35. | 24.9% | Burke, NC / 90,557 |
36. | 24.7% | Wayne, NC / 120,102 |
37. | 24.3% | Madison, NC / 20,549 |
38. | 23.3% | Ashe, NC / 26,787 |
39. | 23.2% | Tyrrell, NC / 4,374 |
40. | 22.8% | Chowan, NC / 14,859 |
41. | 22.8% | Mitchell, NC / 15,680 |
42. | 22.7% | Clay, NC / 10,418 |
43. | 22.7% | Northampton, NC / 22,161 |
44. | 22.5% | Martin, NC / 24,471 |
45. | 22.1% | Yancey, NC / 17,911 |
46. | 21.9% | Lenoir, NC / 59,307 |
47. | 21.9% | Halifax, NC / 55,293 |
48. | 21.8% | Carteret, NC / 65,068 |
49. | 21.5% | Washington, NC / 13,248 |
50. | 21.5% | Randolph, NC / 140,034 |
51. | 21.4% | Rutherford, NC / 66,928 |
52. | 21.4% | Cleveland, NC / 97,786 |
53. | 21.3% | Jackson, NC / 39,144 |
53. | 21.3% | Lincoln, NC / 75,697 |
55. | 21.1% | Onslow, NC / 169,207 |
56. | 20.4% | Cherokee, NC / 27,317 |
57. | 20.3% | Edgecombe, NC / 56,247 |
58. | 19.9% | Caldwell, NC / 82,162 |
59. | 19.4% | Johnston, NC / 160,675 |
60. | 19.3% | Macon, NC / 33,453 |
61. | 19.1% | Haywood, NC / 58,597 |
62. | 18.9% | Hyde, NC / 5,721 |
63. | 18.8% | Rowan, NC / 136,880 |
64. | 18.6% | Nash, NC / 94,402 |
65. | 18.5% | Hertford, NC / 24,384 |
66. | 18.4% | Davie, NC / 40,581 |
66. | 18.4% | Currituck, NC / 23,299 |
68. | 17.8% | Rockingham, NC / 93,322 |
69. | 17.6% | Lee, NC / 55,576 |
70. | 17.2% | Henderson, NC / 103,881 |
71. | 16.8% | Polk, NC / 20,289 |
72. | 16.7% | Transylvania, NC / 32,404 |
73. | 16.5% | Buncombe, NC / 233,249 |
74. | 16.3% | Chatham, NC / 61,426 |
75. | 16.0% | Stanly, NC / 60,109 |
76. | 15.8% | Craven, NC / 100,001 |
77. | 15.8% | Davidson, NC / 160,638 |
78. | 15.0% | Pasquotank, NC / 40,167 |
79. | 14.6% | Catawba, NC / 153,149 |
80. | 14.6% | Alamance, NC / 147,072 |
81. | 14.5% | Moore, NC / 85,914 |
82. | 14.0% | Pitt, NC / 161,385 |
83. | 13.9% | Iredell, NC / 154,632 |
84. | 13.9% | Wilson, NC / 79,533 |
85. | 13.8% | Alleghany, NC / 11,084 |
86. | 13.4% | Camden, NC / 9,719 |
87. | 12.7% | Avery, NC / 17,951 |
88. | 11.7% | Cumberland, NC / 312,994 |
89. | 10.4% | Gaston, NC / 202,642 |
90. | 8.7% | Cabarrus, NC / 169,990 |
91. | 8.3% | Orange, NC / 129,562 |
92. | 7.9% | Watauga, NC / 49,705 |
93. | 7.4% | Union, NC / 190,346 |
94. | 6.0% | Dare, NC / 33,650 |
95. | 4.3% | New Hanover, NC / 197,272 |
96. | 4.2% | Forsyth, NC / 342,989 |
97. | 3.8% | Wake, NC / 850,546 |
98. | 3.4% | Guilford, NC / 475,786 |
99. | 1.9% | Mecklenburg, NC / 882,761 |
100. | 1.4% | Durham, NC / 258,578 |
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.