A total of 100 results found. Show Results on Map.
Rank | Female Median Age ▲ | County / Population |
1. | 27.80 | Onslow, NC / 165,181 |
2. | 29.10 | Watauga, NC / 44,636 |
3. | 31.60 | Pitt, NC / 151,931 |
4. | 31.80 | Hoke, NC / 42,410 |
5. | 32.20 | Cumberland, NC / 309,316 |
6. | 32.40 | Orange, NC / 124,503 |
7. | 34.20 | Durham, NC / 256,296 |
8. | 34.40 | Harnett, NC / 108,885 |
9. | 34.60 | Wake, NC / 828,759 |
9. | 34.60 | Mecklenburg, NC / 861,189 |
11. | 35.30 | Robeson, NC / 127,686 |
12. | 36.10 | Union, NC / 181,852 |
13. | 36.80 | Johnston, NC / 156,888 |
14. | 36.90 | Cabarrus, NC / 161,473 |
15. | 37.20 | Guilford, NC / 464,041 |
16. | 37.30 | Pasquotank, NC / 40,334 |
17. | 37.40 | Wayne, NC / 113,290 |
18. | 37.90 | Scotland, NC / 36,394 |
19. | 38.20 | Duplin, NC / 52,358 |
19. | 38.20 | New Hanover, NC / 189,463 |
21. | 38.40 | Sampson, NC / 62,996 |
22. | 38.50 | Forsyth, NC / 346,851 |
23. | 38.60 | Alamance, NC / 144,769 |
24. | 39.00 | Gaston, NC / 202,149 |
25. | 39.10 | Granville, NC / 55,670 |
26. | 39.30 | Lee, NC / 57,919 |
27. | 39.40 | Franklin, NC / 57,201 |
27. | 39.40 | Iredell, NC / 150,346 |
27. | 39.40 | Vance, NC / 42,987 |
30. | 39.50 | Craven, NC / 96,789 |
31. | 39.60 | Randolph, NC / 139,443 |
32. | 39.70 | Greene, NC / 20,402 |
33. | 39.80 | Catawba, NC / 155,157 |
33. | 39.80 | Jackson, NC / 36,447 |
33. | 39.80 | Richmond, NC / 45,947 |
33. | 39.80 | Wilson, NC / 76,765 |
33. | 39.80 | Rowan, NC / 137,387 |
38. | 40.10 | Edgecombe, NC / 52,586 |
39. | 40.20 | Davidson, NC / 156,033 |
39. | 40.20 | Lincoln, NC / 72,728 |
41. | 40.30 | Camden, NC / 9,375 |
42. | 40.40 | Currituck, NC / 23,713 |
42. | 40.40 | Montgomery, NC / 27,456 |
44. | 40.70 | Alexander, NC / 36,278 |
44. | 40.70 | Columbus, NC / 54,050 |
46. | 40.80 | Nash, NC / 92,814 |
47. | 40.90 | Cleveland, NC / 98,331 |
48. | 41.30 | Stanly, NC / 59,136 |
48. | 41.30 | Hertford, NC / 23,281 |
50. | 41.50 | Caldwell, NC / 79,382 |
51. | 41.70 | Davie, NC / 40,297 |
52. | 41.80 | Anson, NC / 25,243 |
52. | 41.80 | Wilkes, NC / 66,563 |
52. | 41.80 | Chatham, NC / 61,444 |
55. | 41.90 | Graham, NC / 7,964 |
55. | 41.90 | Gates, NC / 11,555 |
57. | 42.00 | Bladen, NC / 32,412 |
57. | 42.00 | Surry, NC / 72,166 |
57. | 42.00 | Stokes, NC / 45,916 |
60. | 42.10 | Burke, NC / 88,987 |
61. | 42.20 | Yadkin, NC / 37,520 |
62. | 42.30 | Rockingham, NC / 92,007 |
63. | 42.40 | Rutherford, NC / 63,153 |
63. | 42.40 | Buncombe, NC / 225,869 |
65. | 42.50 | Person, NC / 37,301 |
65. | 42.50 | Pender, NC / 49,408 |
67. | 42.70 | Lenoir, NC / 56,831 |
67. | 42.70 | Mcdowell, NC / 43,587 |
69. | 43.00 | Swain, NC / 13,367 |
70. | 43.10 | Halifax, NC / 55,118 |
71. | 43.80 | Martin, NC / 23,699 |
72. | 43.90 | Avery, NC / 17,903 |
73. | 44.00 | Madison, NC / 20,227 |
74. | 44.10 | Caswell, NC / 23,228 |
75. | 44.30 | Bertie, NC / 19,187 |
76. | 44.60 | Washington, NC / 12,979 |
77. | 44.70 | Dare, NC / 33,976 |
78. | 45.00 | Beaufort, NC / 45,993 |
79. | 45.10 | Jones, NC / 10,028 |
80. | 45.50 | Moore, NC / 84,280 |
80. | 45.50 | Mitchell, NC / 15,690 |
82. | 45.70 | Warren, NC / 19,545 |
83. | 45.90 | Carteret, NC / 63,369 |
83. | 45.90 | Chowan, NC / 14,629 |
85. | 46.10 | Yancey, NC / 18,336 |
86. | 46.20 | Haywood, NC / 56,535 |
87. | 46.30 | Ashe, NC / 25,467 |
88. | 46.70 | Henderson, NC / 100,333 |
89. | 47.00 | Alleghany, NC / 10,905 |
90. | 47.20 | Northampton, NC / 20,611 |
90. | 47.20 | Brunswick, NC / 98,712 |
92. | 47.50 | Perquimans, NC / 12,367 |
93. | 48.10 | Tyrrell, NC / 4,112 |
93. | 48.10 | Pamlico, NC / 12,470 |
95. | 48.30 | Cherokee, NC / 26,203 |
96. | 48.60 | Hyde, NC / 5,256 |
97. | 48.70 | Transylvania, NC / 29,886 |
98. | 49.40 | Macon, NC / 32,607 |
99. | 50.20 | Polk, NC / 19,107 |
100. | 50.40 | Clay, NC / 10,084 |
Please note that we only rank locations with 'Female Median Age' data. The rank above might not be a complete list. Locations without 'Female 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.