Local Data Search
A total of 96 results found. Show Results on Map.
| Rank | 5 to 9 Units House Percentage ▼ | County / Population |
| 1. | 11.6% | Pitt, NC / 161,385 |
| 2. | 9.6% | Guilford, NC / 475,786 |
| 3. | 7.8% | Durham, NC / 258,578 |
| 4. | 7.4% | Watauga, NC / 49,705 |
| 5. | 6.8% | Forsyth, NC / 342,989 |
| 6. | 6.6% | Mecklenburg, NC / 882,761 |
| 7. | 6.4% | New Hanover, NC / 197,272 |
| 8. | 6.3% | Cumberland, NC / 312,994 |
| 9. | 6.2% | Orange, NC / 129,562 |
| 10. | 6.0% | Wake, NC / 850,546 |
| 11. | 5.2% | Lee, NC / 55,576 |
| 12. | 5.1% | Nash, NC / 94,402 |
| 13. | 4.9% | Catawba, NC / 153,149 |
| 14. | 4.9% | Craven, NC / 100,001 |
| 15. | 4.8% | Alamance, NC / 147,072 |
| 16. | 4.8% | Lenoir, NC / 59,307 |
| 17. | 4.7% | Buncombe, NC / 233,249 |
| 18. | 4.4% | Gaston, NC / 202,642 |
| 19. | 4.2% | Wilson, NC / 79,533 |
| 20. | 3.5% | Caldwell, NC / 82,162 |
| 21. | 3.5% | Pasquotank, NC / 40,167 |
| 22. | 3.4% | Iredell, NC / 154,632 |
| 23. | 3.4% | Hyde, NC / 5,721 |
| 24. | 3.3% | Cabarrus, NC / 169,990 |
| 25. | 3.3% | Rockingham, NC / 93,322 |
| 26. | 3.2% | Wayne, NC / 120,102 |
| 27. | 3.2% | Burke, NC / 90,557 |
| 28. | 3.2% | Avery, NC / 17,951 |
| 29. | 3.2% | Granville, NC / 58,071 |
| 30. | 3.1% | Edgecombe, NC / 56,247 |
| 30. | 3.1% | Moore, NC / 85,914 |
| 32. | 3.1% | Randolph, NC / 140,034 |
| 33. | 3.0% | Dare, NC / 33,650 |
| 34. | 3.0% | Onslow, NC / 169,207 |
| 35. | 2.9% | Mitchell, NC / 15,680 |
| 36. | 2.7% | Carteret, NC / 65,068 |
| 37. | 2.7% | Scotland, NC / 36,325 |
| 38. | 2.7% | Mcdowell, NC / 44,593 |
| 39. | 2.7% | Macon, NC / 33,453 |
| 40. | 2.6% | Stanly, NC / 60,109 |
| 41. | 2.6% | Rowan, NC / 136,880 |
| 42. | 2.5% | Brunswick, NC / 101,994 |
| 43. | 2.4% | Beaufort, NC / 47,185 |
| 43. | 2.4% | Cleveland, NC / 97,786 |
| 45. | 2.4% | Wilkes, NC / 69,063 |
| 46. | 2.3% | Lincoln, NC / 75,697 |
| 47. | 2.3% | Rutherford, NC / 66,928 |
| 48. | 2.2% | Vance, NC / 44,975 |
| 49. | 2.2% | Chowan, NC / 14,859 |
| 49. | 2.2% | Alleghany, NC / 11,084 |
| 51. | 2.0% | Davidson, NC / 160,638 |
| 52. | 2.0% | Surry, NC / 73,287 |
| 53. | 2.0% | Henderson, NC / 103,881 |
| 53. | 2.0% | Richmond, NC / 46,477 |
| 55. | 1.9% | Harnett, NC / 109,031 |
| 56. | 1.9% | Halifax, NC / 55,293 |
| 57. | 1.9% | Johnston, NC / 160,675 |
| 58. | 1.8% | Union, NC / 190,346 |
| 58. | 1.8% | Davie, NC / 40,581 |
| 60. | 1.8% | Jackson, NC / 39,144 |
| 61. | 1.6% | Robeson, NC / 131,708 |
| 62. | 1.6% | Haywood, NC / 58,597 |
| 63. | 1.5% | Anson, NC / 26,785 |
| 64. | 1.5% | Person, NC / 38,942 |
| 65. | 1.4% | Stokes, NC / 47,194 |
| 66. | 1.4% | Hertford, NC / 24,384 |
| 67. | 1.4% | Chatham, NC / 61,426 |
| 68. | 1.4% | Columbus, NC / 56,856 |
| 69. | 1.3% | Clay, NC / 10,418 |
| 70. | 1.2% | Hoke, NC / 44,128 |
| 71. | 1.2% | Cherokee, NC / 27,317 |
| 72. | 1.2% | Sampson, NC / 62,832 |
| 73. | 1.2% | Swain, NC / 13,861 |
| 74. | 1.1% | Yancey, NC / 17,911 |
| 75. | 1.0% | Ashe, NC / 26,787 |
| 76. | 1.0% | Greene, NC / 21,157 |
| 77. | 0.9% | Transylvania, NC / 32,404 |
| 78. | 0.9% | Madison, NC / 20,549 |
| 79. | 0.9% | Franklin, NC / 58,473 |
| 80. | 0.8% | Warren, NC / 20,810 |
| 81. | 0.8% | Duplin, NC / 56,657 |
| 82. | 0.8% | Currituck, NC / 23,299 |
| 83. | 0.8% | Bladen, NC / 34,629 |
| 83. | 0.8% | Pender, NC / 50,256 |
| 85. | 0.7% | Caswell, NC / 23,848 |
| 86. | 0.7% | Polk, NC / 20,289 |
| 87. | 0.6% | Pamlico, NC / 13,072 |
| 88. | 0.6% | Montgomery, NC / 27,611 |
| 89. | 0.5% | Northampton, NC / 22,161 |
| 89. | 0.5% | Martin, NC / 24,471 |
| 91. | 0.5% | Yadkin, NC / 38,158 |
| 92. | 0.4% | Alexander, NC / 36,797 |
| 93. | 0.2% | Tyrrell, NC / 4,374 |
| 94. | 0.2% | Jones, NC / 10,060 |
| 95. | 0.1% | Bertie, NC / 20,890 |
| 96. | 0.1% | Graham, NC / 8,702 |
Please note that we only rank locations with '5 to 9 Units House Percentage' data. The rank above might not be a complete list. Locations without '5 to 9 Units 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.