A total of 99 results found. Show Results on Map.
Rank | Percentage of House with a Mortgage where Monthly Holding Costs $300-$500 ▼ | County / Population |
1. | 12.1% | Swain, NC / 13,367 |
2. | 11.1% | Mcdowell, NC / 43,587 |
3. | 11.0% | Graham, NC / 7,964 |
4. | 9.1% | Rutherford, NC / 63,153 |
4. | 9.1% | Richmond, NC / 45,947 |
6. | 8.5% | Bladen, NC / 32,412 |
7. | 8.4% | Martin, NC / 23,699 |
8. | 8.2% | Yancey, NC / 18,336 |
9. | 7.9% | Haywood, NC / 56,535 |
10. | 7.9% | Avery, NC / 17,903 |
11. | 7.9% | Jackson, NC / 36,447 |
12. | 7.7% | Anson, NC / 25,243 |
13. | 7.7% | Yadkin, NC / 37,520 |
14. | 7.6% | Robeson, NC / 127,686 |
15. | 7.2% | Burke, NC / 88,987 |
16. | 7.2% | Wilkes, NC / 66,563 |
17. | 7.1% | Ashe, NC / 25,467 |
18. | 7.0% | Surry, NC / 72,166 |
19. | 7.0% | Macon, NC / 32,607 |
20. | 7.0% | Cherokee, NC / 26,203 |
21. | 6.8% | Greene, NC / 20,402 |
22. | 6.6% | Duplin, NC / 52,358 |
23. | 6.6% | Watauga, NC / 44,636 |
24. | 6.4% | Stokes, NC / 45,916 |
25. | 6.3% | Sampson, NC / 62,996 |
26. | 6.0% | Jones, NC / 10,028 |
27. | 5.9% | Mitchell, NC / 15,690 |
28. | 5.9% | Cleveland, NC / 98,331 |
29. | 5.7% | Rockingham, NC / 92,007 |
30. | 5.5% | Caswell, NC / 23,228 |
31. | 5.3% | Vance, NC / 42,987 |
31. | 5.3% | Caldwell, NC / 79,382 |
33. | 5.2% | Northampton, NC / 20,611 |
34. | 5.1% | Randolph, NC / 139,443 |
35. | 5.0% | Transylvania, NC / 29,886 |
36. | 4.9% | Stanly, NC / 59,136 |
37. | 4.5% | Scotland, NC / 36,394 |
38. | 4.5% | Madison, NC / 20,227 |
39. | 4.5% | Brunswick, NC / 98,712 |
40. | 4.4% | Alleghany, NC / 10,905 |
41. | 4.4% | Washington, NC / 12,979 |
42. | 4.3% | Beaufort, NC / 45,993 |
43. | 4.3% | Rowan, NC / 137,387 |
44. | 4.2% | Edgecombe, NC / 52,586 |
45. | 4.1% | Lenoir, NC / 56,831 |
46. | 4.1% | Gates, NC / 11,555 |
47. | 4.0% | Montgomery, NC / 27,456 |
48. | 4.0% | Henderson, NC / 100,333 |
49. | 3.9% | Halifax, NC / 55,118 |
50. | 3.6% | Pamlico, NC / 12,470 |
51. | 3.6% | Moore, NC / 84,280 |
52. | 3.5% | Gaston, NC / 202,149 |
53. | 3.5% | Clay, NC / 10,084 |
54. | 3.5% | Polk, NC / 19,107 |
55. | 3.4% | Wilson, NC / 76,765 |
55. | 3.4% | Catawba, NC / 155,157 |
55. | 3.4% | Alexander, NC / 36,278 |
58. | 3.4% | Wayne, NC / 113,290 |
59. | 3.3% | Buncombe, NC / 225,869 |
60. | 3.3% | Bertie, NC / 19,187 |
61. | 3.2% | Chowan, NC / 14,629 |
61. | 3.2% | Alamance, NC / 144,769 |
63. | 3.1% | Lincoln, NC / 72,728 |
63. | 3.1% | Davidson, NC / 156,033 |
65. | 3.0% | Chatham, NC / 61,444 |
66. | 3.0% | Pender, NC / 49,408 |
67. | 3.0% | Franklin, NC / 57,201 |
68. | 3.0% | Columbus, NC / 54,050 |
69. | 2.9% | Hyde, NC / 5,256 |
70. | 2.9% | Lee, NC / 57,919 |
71. | 2.8% | Warren, NC / 19,545 |
72. | 2.6% | Hertford, NC / 23,281 |
73. | 2.5% | Onslow, NC / 165,181 |
74. | 2.4% | Nash, NC / 92,814 |
75. | 2.3% | Iredell, NC / 150,346 |
76. | 2.3% | Johnston, NC / 156,888 |
77. | 2.3% | Granville, NC / 55,670 |
78. | 2.3% | Davie, NC / 40,297 |
79. | 2.2% | Person, NC / 37,301 |
80. | 2.1% | Cabarrus, NC / 161,473 |
81. | 2.1% | Hoke, NC / 42,410 |
82. | 2.1% | Union, NC / 181,852 |
83. | 2.1% | Carteret, NC / 63,369 |
84. | 2.0% | Forsyth, NC / 346,851 |
85. | 1.9% | Camden, NC / 9,375 |
86. | 1.9% | Guilford, NC / 464,041 |
87. | 1.9% | New Hanover, NC / 189,463 |
88. | 1.8% | Pitt, NC / 151,931 |
89. | 1.7% | Harnett, NC / 108,885 |
90. | 1.6% | Cumberland, NC / 309,316 |
91. | 1.5% | Orange, NC / 124,503 |
92. | 1.4% | Currituck, NC / 23,713 |
93. | 1.3% | Pasquotank, NC / 40,334 |
94. | 1.2% | Craven, NC / 96,789 |
95. | 1.1% | Wake, NC / 828,759 |
96. | 1.1% | Mecklenburg, NC / 861,189 |
97. | 1.0% | Durham, NC / 256,296 |
98. | 0.5% | Perquimans, NC / 12,367 |
99. | 0.4% | Dare, NC / 33,976 |
Please note that we only rank locations with 'Percentage of House with a Mortgage where Monthly Holding Costs $300-$500' data. The rank above might not be a complete list. Locations without 'Percentage of House with a Mortgage where Monthly Holding Costs $300-$500' 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.