A total of 100 results found. Show Results on Map.
Rank | Occupied House with 1 Vehicle ▼ | County / Population |
1. | 38.8% | Durham, NC / 258,578 |
2. | 38.1% | Hyde, NC / 5,721 |
3. | 37.1% | Scotland, NC / 36,325 |
4. | 37.0% | Mecklenburg, NC / 882,761 |
5. | 36.6% | Bladen, NC / 34,629 |
6. | 36.5% | Pitt, NC / 161,385 |
7. | 36.4% | Robeson, NC / 131,708 |
8. | 36.1% | Clay, NC / 10,418 |
9. | 36.0% | Alleghany, NC / 11,084 |
10. | 36.0% | Richmond, NC / 46,477 |
11. | 35.8% | New Hanover, NC / 197,272 |
12. | 35.7% | Guilford, NC / 475,786 |
13. | 35.0% | Cumberland, NC / 312,994 |
14. | 34.8% | Forsyth, NC / 342,989 |
15. | 34.3% | Jackson, NC / 39,144 |
16. | 34.3% | Lenoir, NC / 59,307 |
17. | 34.2% | Buncombe, NC / 233,249 |
18. | 34.1% | Orange, NC / 129,562 |
19. | 33.8% | Wilson, NC / 79,533 |
20. | 33.8% | Edgecombe, NC / 56,247 |
21. | 33.4% | Chowan, NC / 14,859 |
22. | 33.4% | Columbus, NC / 56,856 |
23. | 33.4% | Craven, NC / 100,001 |
24. | 33.4% | Carteret, NC / 65,068 |
25. | 33.0% | Gaston, NC / 202,642 |
26. | 32.7% | Wake, NC / 850,546 |
27. | 32.7% | Onslow, NC / 169,207 |
28. | 32.5% | Halifax, NC / 55,293 |
29. | 32.2% | Transylvania, NC / 32,404 |
30. | 32.2% | Hertford, NC / 24,384 |
31. | 32.1% | Washington, NC / 13,248 |
32. | 32.1% | Watauga, NC / 49,705 |
33. | 31.9% | Wayne, NC / 120,102 |
34. | 31.8% | Anson, NC / 26,785 |
35. | 31.8% | Macon, NC / 33,453 |
36. | 31.8% | Martin, NC / 24,471 |
37. | 31.7% | Dare, NC / 33,650 |
38. | 31.6% | Cleveland, NC / 97,786 |
39. | 31.4% | Vance, NC / 44,975 |
40. | 31.3% | Mitchell, NC / 15,680 |
41. | 31.2% | Rutherford, NC / 66,928 |
42. | 31.2% | Alamance, NC / 147,072 |
43. | 31.1% | Northampton, NC / 22,161 |
44. | 30.9% | Nash, NC / 94,402 |
45. | 30.8% | Henderson, NC / 103,881 |
46. | 30.8% | Surry, NC / 73,287 |
47. | 30.7% | Pasquotank, NC / 40,167 |
48. | 30.4% | Montgomery, NC / 27,611 |
49. | 30.4% | Tyrrell, NC / 4,374 |
50. | 30.3% | Moore, NC / 85,914 |
51. | 30.3% | Duplin, NC / 56,657 |
52. | 30.3% | Graham, NC / 8,702 |
53. | 30.2% | Warren, NC / 20,810 |
54. | 30.1% | Pamlico, NC / 13,072 |
55. | 29.7% | Mcdowell, NC / 44,593 |
56. | 29.7% | Brunswick, NC / 101,994 |
57. | 29.6% | Harnett, NC / 109,031 |
58. | 29.4% | Sampson, NC / 62,832 |
59. | 29.2% | Avery, NC / 17,951 |
60. | 29.2% | Catawba, NC / 153,149 |
61. | 29.1% | Haywood, NC / 58,597 |
62. | 29.0% | Bertie, NC / 20,890 |
63. | 28.8% | Burke, NC / 90,557 |
64. | 28.8% | Ashe, NC / 26,787 |
65. | 28.6% | Rockingham, NC / 93,322 |
66. | 28.6% | Rowan, NC / 136,880 |
67. | 28.4% | Swain, NC / 13,861 |
68. | 28.4% | Cherokee, NC / 27,317 |
69. | 28.3% | Randolph, NC / 140,034 |
70. | 28.1% | Polk, NC / 20,289 |
71. | 28.0% | Johnston, NC / 160,675 |
72. | 28.0% | Cabarrus, NC / 169,990 |
73. | 27.9% | Caldwell, NC / 82,162 |
74. | 27.7% | Granville, NC / 58,071 |
75. | 27.6% | Beaufort, NC / 47,185 |
76. | 27.5% | Person, NC / 38,942 |
77. | 27.4% | Lee, NC / 55,576 |
78. | 27.4% | Yadkin, NC / 38,158 |
79. | 27.3% | Wilkes, NC / 69,063 |
80. | 27.2% | Hoke, NC / 44,128 |
81. | 27.2% | Davidson, NC / 160,638 |
82. | 27.0% | Jones, NC / 10,060 |
83. | 26.9% | Greene, NC / 21,157 |
84. | 26.7% | Chatham, NC / 61,426 |
85. | 26.1% | Iredell, NC / 154,632 |
86. | 26.0% | Pender, NC / 50,256 |
87. | 25.5% | Madison, NC / 20,549 |
88. | 25.2% | Lincoln, NC / 75,697 |
89. | 24.9% | Camden, NC / 9,719 |
90. | 24.9% | Yancey, NC / 17,911 |
91. | 24.7% | Stanly, NC / 60,109 |
92. | 24.4% | Currituck, NC / 23,299 |
93. | 24.0% | Stokes, NC / 47,194 |
94. | 24.0% | Alexander, NC / 36,797 |
95. | 24.0% | Gates, NC / 12,039 |
95. | 24.0% | Perquimans, NC / 13,091 |
97. | 23.9% | Franklin, NC / 58,473 |
98. | 23.4% | Davie, NC / 40,581 |
99. | 22.4% | Caswell, NC / 23,848 |
100. | 22.0% | Union, NC / 190,346 |
Please note that we only rank locations with 'Occupied House with 1 Vehicle' data. The rank above might not be a complete list. Locations without 'Occupied House with 1 Vehicle' 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.