A total of 100 results found. Show Results on Map.
Rank | Female Median Age ▲ | County / Population |
1. | 28.70 | Onslow, NC / 176,461 |
2. | 30.30 | Watauga, NC / 51,103 |
3. | 31.60 | Hoke, NC / 47,368 |
4. | 32.00 | Pitt, NC / 167,951 |
5. | 32.70 | Cumberland, NC / 319,329 |
6. | 34.00 | Orange, NC / 133,958 |
7. | 34.40 | Durham, NC / 269,283 |
8. | 34.50 | Harnett, NC / 115,559 |
9. | 34.90 | Mecklenburg, NC / 926,873 |
10. | 35.40 | Wake, NC / 905,573 |
11. | 36.00 | Robeson, NC / 133,920 |
12. | 36.90 | Union, NC / 201,617 |
13. | 37.40 | Guilford, NC / 489,576 |
14. | 37.50 | Johnston, NC / 169,122 |
14. | 37.50 | Cabarrus, NC / 178,396 |
16. | 38.30 | Pasquotank, NC / 40,551 |
16. | 38.30 | Jackson, NC / 39,985 |
18. | 38.50 | Forsyth, NC / 351,368 |
19. | 38.70 | Wayne, NC / 122,419 |
20. | 39.00 | New Hanover, NC / 203,276 |
21. | 39.20 | Duplin, NC / 58,510 |
22. | 39.30 | Lee, NC / 57,876 |
22. | 39.30 | Alamance, NC / 151,170 |
24. | 39.50 | Craven, NC / 102,904 |
25. | 39.60 | Sampson, NC / 63,408 |
25. | 39.60 | Scotland, NC / 36,266 |
27. | 40.00 | Vance, NC / 45,183 |
27. | 40.00 | Iredell, NC / 159,614 |
29. | 40.20 | Camden, NC / 9,965 |
29. | 40.20 | Rowan, NC / 138,189 |
29. | 40.20 | Gaston, NC / 206,291 |
32. | 40.30 | Randolph, NC / 141,568 |
33. | 40.40 | Richmond, NC / 46,608 |
34. | 40.50 | Granville, NC / 59,666 |
34. | 40.50 | Wilson, NC / 81,020 |
36. | 40.60 | Greene, NC / 21,386 |
37. | 40.70 | Anson, NC / 26,699 |
38. | 40.80 | Catawba, NC / 154,201 |
39. | 40.90 | Montgomery, NC / 27,741 |
40. | 41.00 | Franklin, NC / 60,470 |
41. | 41.40 | Lincoln, NC / 78,052 |
41. | 41.40 | Davidson, NC / 162,628 |
43. | 41.50 | Cleveland, NC / 97,890 |
44. | 41.60 | Currituck, NC / 23,677 |
44. | 41.60 | Nash, NC / 95,545 |
46. | 41.70 | Alexander, NC / 37,014 |
47. | 41.80 | Edgecombe, NC / 56,253 |
48. | 42.20 | Caldwell, NC / 82,493 |
49. | 42.30 | Columbus, NC / 57,612 |
49. | 42.30 | Buncombe, NC / 239,000 |
51. | 42.60 | Stanly, NC / 60,489 |
51. | 42.60 | Pender, NC / 52,447 |
51. | 42.60 | Swain, NC / 13,995 |
54. | 42.70 | Surry, NC / 73,551 |
54. | 42.70 | Bladen, NC / 34,922 |
56. | 42.80 | Lenoir, NC / 59,372 |
56. | 42.80 | Yadkin, NC / 38,254 |
56. | 42.80 | Person, NC / 39,322 |
59. | 43.00 | Burke, NC / 90,821 |
60. | 43.30 | Davie, NC / 41,183 |
60. | 43.30 | Mcdowell, NC / 44,926 |
60. | 43.30 | Wilkes, NC / 69,265 |
63. | 43.40 | Hertford, NC / 24,525 |
63. | 43.40 | Gates, NC / 12,069 |
63. | 43.40 | Stokes, NC / 47,224 |
63. | 43.40 | Rutherford, NC / 67,446 |
67. | 43.50 | Rockingham, NC / 93,264 |
68. | 43.60 | Halifax, NC / 54,693 |
69. | 43.80 | Washington, NC / 13,085 |
70. | 44.20 | Graham, NC / 8,766 |
71. | 44.30 | Hyde, NC / 5,810 |
72. | 44.90 | Dare, NC / 34,019 |
73. | 45.00 | Madison, NC / 20,727 |
74. | 45.20 | Beaufort, NC / 47,542 |
75. | 45.30 | Avery, NC / 17,815 |
76. | 45.40 | Chatham, NC / 63,896 |
77. | 45.70 | Martin, NC / 24,298 |
78. | 45.80 | Bertie, NC / 21,035 |
79. | 45.90 | Tyrrell, NC / 4,367 |
79. | 45.90 | Jones, NC / 10,144 |
81. | 46.10 | Caswell, NC / 23,615 |
82. | 46.40 | Yancey, NC / 17,814 |
83. | 46.50 | Ashe, NC / 27,099 |
83. | 46.50 | Moore, NC / 88,314 |
85. | 46.80 | Chowan, NC / 14,825 |
86. | 46.90 | Mitchell, NC / 15,539 |
87. | 47.20 | Carteret, NC / 66,415 |
88. | 47.30 | Haywood, NC / 58,915 |
88. | 47.30 | Henderson, NC / 106,577 |
90. | 47.50 | Perquimans, NC / 13,414 |
91. | 47.60 | Warren, NC / 20,860 |
92. | 48.30 | Northampton, NC / 21,959 |
93. | 48.70 | Brunswick, NC / 107,925 |
94. | 48.90 | Alleghany, NC / 11,069 |
95. | 49.00 | Cherokee, NC / 27,304 |
96. | 49.80 | Pamlico, NC / 13,145 |
97. | 50.00 | Macon, NC / 33,815 |
98. | 50.70 | Transylvania, NC / 32,825 |
99. | 51.30 | Polk, NC / 20,386 |
100. | 52.00 | Clay, NC / 10,575 |
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.