A total of 100 results found. Show Results on Map.
Rank | Male Median Age ▲ | County / Population |
1. | 24.20 | Onslow, NC / 176,461 |
2. | 27.20 | Watauga, NC / 51,103 |
3. | 29.10 | Cumberland, NC / 319,329 |
4. | 30.00 | Pitt, NC / 167,951 |
5. | 30.20 | Hoke, NC / 47,368 |
6. | 32.40 | Durham, NC / 269,283 |
7. | 32.60 | Harnett, NC / 115,559 |
8. | 32.70 | Orange, NC / 133,958 |
9. | 32.90 | Mecklenburg, NC / 926,873 |
9. | 32.90 | Robeson, NC / 133,920 |
11. | 33.30 | Craven, NC / 102,904 |
12. | 33.60 | Wake, NC / 905,573 |
13. | 34.60 | Wayne, NC / 122,419 |
14. | 34.70 | Jackson, NC / 39,985 |
15. | 34.90 | Pasquotank, NC / 40,551 |
16. | 35.20 | Guilford, NC / 489,576 |
17. | 35.30 | Johnston, NC / 169,122 |
18. | 35.40 | Union, NC / 201,617 |
19. | 35.50 | Cabarrus, NC / 178,396 |
20. | 35.70 | Forsyth, NC / 351,368 |
21. | 35.80 | New Hanover, NC / 203,276 |
22. | 35.90 | Duplin, NC / 58,510 |
22. | 35.90 | Greene, NC / 21,386 |
24. | 36.00 | Lee, NC / 57,876 |
25. | 36.30 | Vance, NC / 45,183 |
26. | 36.70 | Scotland, NC / 36,266 |
27. | 37.10 | Wilson, NC / 81,020 |
27. | 37.10 | Sampson, NC / 63,408 |
29. | 37.20 | Richmond, NC / 46,608 |
30. | 37.40 | Gaston, NC / 206,291 |
31. | 37.60 | Edgecombe, NC / 56,253 |
31. | 37.60 | Alamance, NC / 151,170 |
33. | 37.80 | Iredell, NC / 159,614 |
34. | 38.10 | Rowan, NC / 138,189 |
35. | 38.30 | Hyde, NC / 5,810 |
36. | 38.40 | Anson, NC / 26,699 |
37. | 38.50 | Columbus, NC / 57,612 |
37. | 38.50 | Franklin, NC / 60,470 |
37. | 38.50 | Bertie, NC / 21,035 |
40. | 38.60 | Montgomery, NC / 27,741 |
40. | 38.60 | Nash, NC / 95,545 |
42. | 38.80 | Stanly, NC / 60,489 |
42. | 38.80 | Catawba, NC / 154,201 |
44. | 38.90 | Randolph, NC / 141,568 |
45. | 39.00 | Hertford, NC / 24,525 |
45. | 39.00 | Halifax, NC / 54,693 |
47. | 39.10 | Cleveland, NC / 97,890 |
47. | 39.10 | Lenoir, NC / 59,372 |
47. | 39.10 | Surry, NC / 73,551 |
50. | 39.30 | Buncombe, NC / 239,000 |
50. | 39.30 | Burke, NC / 90,821 |
50. | 39.30 | Davidson, NC / 162,628 |
53. | 39.40 | Granville, NC / 59,666 |
54. | 39.70 | Swain, NC / 13,995 |
55. | 39.90 | Alexander, NC / 37,014 |
56. | 40.00 | Lincoln, NC / 78,052 |
56. | 40.00 | Camden, NC / 9,965 |
58. | 40.10 | Pender, NC / 52,447 |
58. | 40.10 | Caldwell, NC / 82,493 |
60. | 40.20 | Person, NC / 39,322 |
61. | 40.30 | Bladen, NC / 34,922 |
62. | 40.50 | Currituck, NC / 23,677 |
62. | 40.50 | Mcdowell, NC / 44,926 |
64. | 40.70 | Rockingham, NC / 93,264 |
65. | 40.80 | Rutherford, NC / 67,446 |
66. | 40.90 | Warren, NC / 20,860 |
66. | 40.90 | Yadkin, NC / 38,254 |
68. | 41.10 | Avery, NC / 17,815 |
68. | 41.10 | Gates, NC / 12,069 |
70. | 41.40 | Jones, NC / 10,144 |
71. | 41.50 | Wilkes, NC / 69,265 |
72. | 41.70 | Davie, NC / 41,183 |
73. | 41.80 | Stokes, NC / 47,224 |
74. | 41.90 | Graham, NC / 8,766 |
75. | 42.00 | Caswell, NC / 23,615 |
76. | 42.10 | Beaufort, NC / 47,542 |
76. | 42.10 | Madison, NC / 20,727 |
78. | 42.20 | Dare, NC / 34,019 |
79. | 42.30 | Tyrrell, NC / 4,367 |
79. | 42.30 | Chowan, NC / 14,825 |
81. | 42.70 | Chatham, NC / 63,896 |
82. | 42.90 | Washington, NC / 13,085 |
83. | 43.00 | Martin, NC / 24,298 |
83. | 43.00 | Northampton, NC / 21,959 |
83. | 43.00 | Henderson, NC / 106,577 |
86. | 43.50 | Moore, NC / 88,314 |
87. | 43.80 | Ashe, NC / 27,099 |
88. | 43.90 | Yancey, NC / 17,814 |
89. | 44.10 | Mitchell, NC / 15,539 |
90. | 44.20 | Carteret, NC / 66,415 |
91. | 44.60 | Haywood, NC / 58,915 |
92. | 44.70 | Alleghany, NC / 11,069 |
93. | 46.10 | Perquimans, NC / 13,414 |
94. | 46.30 | Clay, NC / 10,575 |
95. | 46.40 | Brunswick, NC / 107,925 |
96. | 46.60 | Pamlico, NC / 13,145 |
97. | 46.90 | Polk, NC / 20,386 |
97. | 46.90 | Macon, NC / 33,815 |
99. | 47.10 | Cherokee, NC / 27,304 |
100. | 48.10 | Transylvania, NC / 32,825 |
Please note that we only rank locations with 'Male Median Age' data. The rank above might not be a complete list. Locations without 'Male Median Age' 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.