A total of 100 results found. Show Results on Map.
Rank | Other Structure House Percentage ▼ | County / Population |
1. | 38.8% | Robeson, NC / 133,920 |
2. | 38.6% | Montgomery, NC / 27,741 |
3. | 36.5% | Bladen, NC / 34,922 |
4. | 35.8% | Sampson, NC / 63,408 |
5. | 33.7% | Warren, NC / 20,860 |
6. | 33.5% | Greene, NC / 21,386 |
7. | 33.4% | Duplin, NC / 58,510 |
8. | 31.9% | Bertie, NC / 21,035 |
9. | 31.2% | Pamlico, NC / 13,145 |
10. | 30.9% | Alexander, NC / 37,014 |
11. | 30.6% | Vance, NC / 45,183 |
12. | 30.0% | Jones, NC / 10,144 |
13. | 29.7% | Columbus, NC / 57,612 |
14. | 29.6% | Mcdowell, NC / 44,926 |
15. | 29.1% | Caswell, NC / 23,615 |
16. | 29.0% | Yadkin, NC / 38,254 |
17. | 29.0% | Pender, NC / 52,447 |
18. | 27.9% | Scotland, NC / 36,266 |
19. | 27.6% | Franklin, NC / 60,470 |
20. | 27.3% | Tyrrell, NC / 4,367 |
21. | 27.1% | Beaufort, NC / 47,542 |
22. | 27.0% | Perquimans, NC / 13,414 |
23. | 26.7% | Anson, NC / 26,699 |
24. | 26.5% | Stokes, NC / 47,224 |
25. | 26.0% | Gates, NC / 12,069 |
26. | 26.0% | Wilkes, NC / 69,265 |
27. | 25.3% | Burke, NC / 90,821 |
28. | 25.3% | Wayne, NC / 122,419 |
29. | 25.1% | Surry, NC / 73,551 |
30. | 25.0% | Brunswick, NC / 107,925 |
31. | 24.3% | Hyde, NC / 5,810 |
32. | 24.1% | Graham, NC / 8,766 |
33. | 23.9% | Madison, NC / 20,727 |
34. | 23.9% | Person, NC / 39,322 |
35. | 23.8% | Granville, NC / 59,666 |
35. | 23.8% | Washington, NC / 13,085 |
37. | 23.7% | Richmond, NC / 46,608 |
38. | 23.4% | Harnett, NC / 115,559 |
39. | 23.0% | Hoke, NC / 47,368 |
40. | 22.9% | Martin, NC / 24,298 |
41. | 22.8% | Swain, NC / 13,995 |
42. | 22.6% | Northampton, NC / 21,959 |
43. | 22.1% | Lenoir, NC / 59,372 |
44. | 22.0% | Rutherford, NC / 67,446 |
45. | 21.4% | Carteret, NC / 66,415 |
46. | 21.1% | Halifax, NC / 54,693 |
47. | 21.1% | Caldwell, NC / 82,493 |
48. | 20.8% | Lincoln, NC / 78,052 |
49. | 20.8% | Hertford, NC / 24,525 |
50. | 20.6% | Jackson, NC / 39,985 |
51. | 20.3% | Yancey, NC / 17,814 |
52. | 20.3% | Mitchell, NC / 15,539 |
53. | 20.2% | Ashe, NC / 27,099 |
54. | 20.1% | Chowan, NC / 14,825 |
55. | 19.9% | Randolph, NC / 141,568 |
56. | 19.8% | Cleveland, NC / 97,890 |
57. | 19.8% | Edgecombe, NC / 56,253 |
58. | 19.1% | Haywood, NC / 58,915 |
59. | 19.0% | Nash, NC / 95,545 |
60. | 18.9% | Macon, NC / 33,815 |
61. | 18.8% | Cherokee, NC / 27,304 |
62. | 18.8% | Davie, NC / 41,183 |
63. | 18.5% | Rockingham, NC / 93,264 |
64. | 18.1% | Onslow, NC / 176,461 |
65. | 17.7% | Clay, NC / 10,575 |
66. | 17.7% | Johnston, NC / 169,122 |
67. | 17.5% | Rowan, NC / 138,189 |
68. | 17.4% | Lee, NC / 57,876 |
69. | 17.1% | Henderson, NC / 106,577 |
70. | 16.5% | Buncombe, NC / 239,000 |
71. | 16.4% | Polk, NC / 20,386 |
72. | 15.8% | Stanly, NC / 60,489 |
73. | 15.7% | Currituck, NC / 23,677 |
74. | 15.4% | Craven, NC / 102,904 |
75. | 15.2% | Davidson, NC / 162,628 |
76. | 14.9% | Transylvania, NC / 32,825 |
77. | 14.8% | Wilson, NC / 81,020 |
78. | 14.8% | Catawba, NC / 154,201 |
79. | 14.5% | Iredell, NC / 159,614 |
80. | 14.5% | Alamance, NC / 151,170 |
81. | 14.1% | Alleghany, NC / 11,069 |
82. | 14.1% | Chatham, NC / 63,896 |
83. | 13.6% | Pitt, NC / 167,951 |
84. | 13.2% | Moore, NC / 88,314 |
85. | 12.6% | Avery, NC / 17,815 |
86. | 12.2% | Pasquotank, NC / 40,551 |
87. | 10.4% | Cumberland, NC / 319,329 |
88. | 9.8% | Gaston, NC / 206,291 |
89. | 8.5% | Cabarrus, NC / 178,396 |
90. | 8.5% | Camden, NC / 9,965 |
91. | 8.1% | Watauga, NC / 51,103 |
92. | 7.9% | Orange, NC / 133,958 |
93. | 7.1% | Union, NC / 201,617 |
94. | 5.9% | Dare, NC / 34,019 |
95. | 4.6% | New Hanover, NC / 203,276 |
96. | 3.8% | Forsyth, NC / 351,368 |
97. | 3.6% | Wake, NC / 905,573 |
98. | 3.2% | Guilford, NC / 489,576 |
99. | 1.7% | Mecklenburg, NC / 926,873 |
100. | 1.6% | Durham, NC / 269,283 |
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.