A total of 100 results found. Show Results on Map.
Rank | $75K to $100K Household Income Percentage ▼ | County / Population |
1. | 16.0% | Currituck, NC / 23,677 |
2. | 14.8% | Union, NC / 201,617 |
3. | 14.8% | Cabarrus, NC / 178,396 |
4. | 14.1% | Dare, NC / 34,019 |
5. | 14.1% | Person, NC / 39,322 |
6. | 13.8% | Johnston, NC / 169,122 |
7. | 13.6% | Wake, NC / 905,573 |
8. | 13.5% | Hoke, NC / 47,368 |
9. | 13.3% | Greene, NC / 21,386 |
9. | 13.3% | Craven, NC / 102,904 |
11. | 13.3% | Gates, NC / 12,069 |
12. | 13.2% | Carteret, NC / 66,415 |
13. | 13.1% | Franklin, NC / 60,470 |
14. | 13.1% | Harnett, NC / 115,559 |
15. | 13.0% | Yancey, NC / 17,814 |
16. | 12.9% | Camden, NC / 9,965 |
17. | 12.9% | Granville, NC / 59,666 |
18. | 12.8% | Stokes, NC / 47,224 |
19. | 12.7% | Moore, NC / 88,314 |
20. | 12.7% | Pasquotank, NC / 40,551 |
21. | 12.6% | Stanly, NC / 60,489 |
22. | 12.5% | Madison, NC / 20,727 |
23. | 12.5% | Brunswick, NC / 107,925 |
24. | 12.3% | Lee, NC / 57,876 |
25. | 12.2% | Davidson, NC / 162,628 |
26. | 12.2% | Davie, NC / 41,183 |
27. | 12.0% | Iredell, NC / 159,614 |
28. | 11.9% | Mecklenburg, NC / 926,873 |
29. | 11.9% | Lincoln, NC / 78,052 |
30. | 11.9% | Clay, NC / 10,575 |
31. | 11.8% | Chatham, NC / 63,896 |
31. | 11.8% | Henderson, NC / 106,577 |
33. | 11.6% | Transylvania, NC / 32,825 |
34. | 11.5% | Durham, NC / 269,283 |
35. | 11.5% | Sampson, NC / 63,408 |
36. | 11.4% | Martin, NC / 24,298 |
37. | 11.4% | Alamance, NC / 151,170 |
38. | 11.4% | New Hanover, NC / 203,276 |
39. | 11.4% | Rowan, NC / 138,189 |
40. | 11.4% | Pender, NC / 52,447 |
41. | 11.3% | Perquimans, NC / 13,414 |
42. | 11.3% | Nash, NC / 95,545 |
43. | 11.2% | Swain, NC / 13,995 |
44. | 11.2% | Cumberland, NC / 319,329 |
44. | 11.2% | Catawba, NC / 154,201 |
46. | 11.1% | Guilford, NC / 489,576 |
47. | 11.1% | Onslow, NC / 176,461 |
48. | 11.1% | Randolph, NC / 141,568 |
49. | 10.9% | Forsyth, NC / 351,368 |
50. | 10.9% | Beaufort, NC / 47,542 |
51. | 10.8% | Gaston, NC / 206,291 |
52. | 10.4% | Wayne, NC / 122,419 |
53. | 10.4% | Buncombe, NC / 239,000 |
54. | 10.3% | Burke, NC / 90,821 |
55. | 10.2% | Watauga, NC / 51,103 |
56. | 10.2% | Cleveland, NC / 97,890 |
57. | 10.2% | Alexander, NC / 37,014 |
58. | 10.1% | Orange, NC / 133,958 |
58. | 10.1% | Haywood, NC / 58,915 |
60. | 10.0% | Rockingham, NC / 93,264 |
61. | 10.0% | Yadkin, NC / 38,254 |
62. | 10.0% | Mitchell, NC / 15,539 |
63. | 9.9% | Avery, NC / 17,815 |
64. | 9.9% | Surry, NC / 73,551 |
65. | 9.9% | Pitt, NC / 167,951 |
66. | 9.9% | Wilson, NC / 81,020 |
67. | 9.8% | Caswell, NC / 23,615 |
67. | 9.8% | Vance, NC / 45,183 |
69. | 9.8% | Mcdowell, NC / 44,926 |
70. | 9.8% | Bladen, NC / 34,922 |
71. | 9.7% | Caldwell, NC / 82,493 |
72. | 9.7% | Polk, NC / 20,386 |
73. | 9.5% | Tyrrell, NC / 4,367 |
74. | 9.5% | Cherokee, NC / 27,304 |
75. | 9.4% | Pamlico, NC / 13,145 |
76. | 9.4% | Edgecombe, NC / 56,253 |
77. | 9.4% | Columbus, NC / 57,612 |
78. | 9.3% | Duplin, NC / 58,510 |
79. | 8.9% | Lenoir, NC / 59,372 |
80. | 8.8% | Graham, NC / 8,766 |
81. | 8.7% | Northampton, NC / 21,959 |
82. | 8.7% | Richmond, NC / 46,608 |
83. | 8.6% | Washington, NC / 13,085 |
84. | 8.6% | Jackson, NC / 39,985 |
85. | 8.4% | Hertford, NC / 24,525 |
86. | 8.4% | Jones, NC / 10,144 |
87. | 8.3% | Macon, NC / 33,815 |
88. | 8.3% | Wilkes, NC / 69,265 |
89. | 8.0% | Alleghany, NC / 11,069 |
89. | 8.0% | Ashe, NC / 27,099 |
91. | 8.0% | Warren, NC / 20,860 |
92. | 7.8% | Robeson, NC / 133,920 |
93. | 7.7% | Rutherford, NC / 67,446 |
94. | 7.7% | Hyde, NC / 5,810 |
95. | 7.3% | Montgomery, NC / 27,741 |
96. | 7.2% | Bertie, NC / 21,035 |
97. | 6.6% | Anson, NC / 26,699 |
98. | 6.5% | Scotland, NC / 36,266 |
99. | 6.1% | Chowan, NC / 14,825 |
100. | 6.1% | Halifax, NC / 54,693 |
Please note that we only rank locations with '$75K to $100K Household Income Percentage' data. The rank above might not be a complete list. Locations without '$75K to $100K Household Income 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.