Local Data Search
A total of 97 results found. Show Results on Map.
| Rank | 2 Rooms House Percentage ▼ | County / Population |
| 1. | 5.0% | Watauga, NC / 44,636 |
| 2. | 4.3% | New Hanover, NC / 189,463 |
| 3. | 3.3% | Orange, NC / 124,503 |
| 4. | 3.3% | Montgomery, NC / 27,456 |
| 5. | 3.3% | Graham, NC / 7,964 |
| 6. | 2.9% | Pitt, NC / 151,931 |
| 7. | 2.8% | Durham, NC / 256,296 |
| 8. | 2.5% | Alleghany, NC / 10,905 |
| 9. | 2.4% | Macon, NC / 32,607 |
| 10. | 2.4% | Avery, NC / 17,903 |
| 11. | 2.4% | Ashe, NC / 25,467 |
| 12. | 2.3% | Buncombe, NC / 225,869 |
| 13. | 2.2% | Yancey, NC / 18,336 |
| 14. | 2.2% | Mitchell, NC / 15,690 |
| 15. | 2.1% | Mcdowell, NC / 43,587 |
| 16. | 2.1% | Wake, NC / 828,759 |
| 16. | 2.1% | Madison, NC / 20,227 |
| 18. | 2.0% | Wilkes, NC / 66,563 |
| 19. | 2.0% | Pasquotank, NC / 40,334 |
| 20. | 1.9% | Randolph, NC / 139,443 |
| 21. | 1.9% | Forsyth, NC / 346,851 |
| 22. | 1.8% | Rockingham, NC / 92,007 |
| 23. | 1.8% | Transylvania, NC / 29,886 |
| 24. | 1.7% | Surry, NC / 72,166 |
| 24. | 1.7% | Mecklenburg, NC / 861,189 |
| 26. | 1.7% | Guilford, NC / 464,041 |
| 26. | 1.7% | Carteret, NC / 63,369 |
| 28. | 1.7% | Onslow, NC / 165,181 |
| 29. | 1.7% | Cumberland, NC / 309,316 |
| 30. | 1.6% | Jackson, NC / 36,447 |
| 31. | 1.6% | Moore, NC / 84,280 |
| 32. | 1.5% | Lenoir, NC / 56,831 |
| 33. | 1.5% | Jones, NC / 10,028 |
| 34. | 1.5% | Craven, NC / 96,789 |
| 35. | 1.4% | Lee, NC / 57,919 |
| 35. | 1.4% | Henderson, NC / 100,333 |
| 37. | 1.3% | Beaufort, NC / 45,993 |
| 38. | 1.3% | Caldwell, NC / 79,382 |
| 38. | 1.3% | Polk, NC / 19,107 |
| 40. | 1.3% | Dare, NC / 33,976 |
| 41. | 1.2% | Chatham, NC / 61,444 |
| 42. | 1.1% | Catawba, NC / 155,157 |
| 43. | 1.1% | Brunswick, NC / 98,712 |
| 44. | 1.1% | Gaston, NC / 202,149 |
| 44. | 1.1% | Perquimans, NC / 12,367 |
| 46. | 1.0% | Rowan, NC / 137,387 |
| 47. | 1.0% | Wilson, NC / 76,765 |
| 48. | 1.0% | Alamance, NC / 144,769 |
| 49. | 1.0% | Richmond, NC / 45,947 |
| 50. | 0.9% | Clay, NC / 10,084 |
| 50. | 0.9% | Cleveland, NC / 98,331 |
| 52. | 0.9% | Martin, NC / 23,699 |
| 52. | 0.9% | Robeson, NC / 127,686 |
| 54. | 0.9% | Swain, NC / 13,367 |
| 55. | 0.9% | Harnett, NC / 108,885 |
| 56. | 0.8% | Stanly, NC / 59,136 |
| 57. | 0.8% | Yadkin, NC / 37,520 |
| 58. | 0.8% | Pamlico, NC / 12,470 |
| 58. | 0.8% | Scotland, NC / 36,394 |
| 60. | 0.8% | Tyrrell, NC / 4,112 |
| 60. | 0.8% | Haywood, NC / 56,535 |
| 62. | 0.8% | Burke, NC / 88,987 |
| 62. | 0.8% | Columbus, NC / 54,050 |
| 64. | 0.8% | Cabarrus, NC / 161,473 |
| 65. | 0.8% | Halifax, NC / 55,118 |
| 65. | 0.8% | Rutherford, NC / 63,153 |
| 65. | 0.8% | Pender, NC / 49,408 |
| 68. | 0.7% | Johnston, NC / 156,888 |
| 69. | 0.7% | Wayne, NC / 113,290 |
| 69. | 0.7% | Vance, NC / 42,987 |
| 71. | 0.7% | Sampson, NC / 62,996 |
| 72. | 0.7% | Warren, NC / 19,545 |
| 72. | 0.7% | Edgecombe, NC / 52,586 |
| 74. | 0.7% | Bertie, NC / 19,187 |
| 75. | 0.6% | Franklin, NC / 57,201 |
| 76. | 0.6% | Cherokee, NC / 26,203 |
| 77. | 0.6% | Davidson, NC / 156,033 |
| 78. | 0.6% | Washington, NC / 12,979 |
| 79. | 0.6% | Lincoln, NC / 72,728 |
| 79. | 0.6% | Nash, NC / 92,814 |
| 81. | 0.6% | Duplin, NC / 52,358 |
| 81. | 0.6% | Iredell, NC / 150,346 |
| 83. | 0.5% | Stokes, NC / 45,916 |
| 84. | 0.5% | Hoke, NC / 42,410 |
| 85. | 0.5% | Union, NC / 181,852 |
| 86. | 0.4% | Hertford, NC / 23,281 |
| 87. | 0.4% | Camden, NC / 9,375 |
| 88. | 0.4% | Granville, NC / 55,670 |
| 89. | 0.4% | Northampton, NC / 20,611 |
| 89. | 0.4% | Davie, NC / 40,297 |
| 91. | 0.4% | Alexander, NC / 36,278 |
| 92. | 0.2% | Gates, NC / 11,555 |
| 93. | 0.2% | Person, NC / 37,301 |
| 94. | 0.2% | Currituck, NC / 23,713 |
| 94. | 0.2% | Caswell, NC / 23,228 |
| 96. | 0.2% | Anson, NC / 25,243 |
| 97. | 0.1% | Bladen, NC / 32,412 |
Please note that we only rank locations with '2 Rooms House Percentage' data. The rank above might not be a complete list. Locations without '2 Rooms 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.