A total of 100 results found. Show Results on Map.
Rank | Female Median Age ▲ | County / Population |
1. | 29.00 | Onslow, NC / 169,207 |
2. | 29.90 | Watauga, NC / 49,705 |
3. | 31.90 | Pitt, NC / 161,385 |
4. | 32.00 | Hoke, NC / 44,128 |
5. | 32.80 | Cumberland, NC / 312,994 |
6. | 33.90 | Orange, NC / 129,562 |
7. | 34.20 | Durham, NC / 258,578 |
8. | 34.60 | Harnett, NC / 109,031 |
9. | 34.70 | Mecklenburg, NC / 882,761 |
10. | 35.00 | Wake, NC / 850,546 |
11. | 35.70 | Robeson, NC / 131,708 |
12. | 36.40 | Union, NC / 190,346 |
13. | 37.20 | Guilford, NC / 475,786 |
14. | 37.30 | Johnston, NC / 160,675 |
14. | 37.30 | Cabarrus, NC / 169,990 |
16. | 38.00 | Wayne, NC / 120,102 |
17. | 38.10 | Pasquotank, NC / 40,167 |
18. | 38.40 | Forsyth, NC / 342,989 |
18. | 38.40 | Lee, NC / 55,576 |
20. | 38.50 | Duplin, NC / 56,657 |
21. | 38.60 | Scotland, NC / 36,325 |
22. | 38.70 | New Hanover, NC / 197,272 |
22. | 38.70 | Jackson, NC / 39,144 |
24. | 38.80 | Alamance, NC / 147,072 |
24. | 38.80 | Vance, NC / 44,975 |
26. | 39.00 | Sampson, NC / 62,832 |
27. | 39.30 | Gaston, NC / 202,642 |
27. | 39.30 | Craven, NC / 100,001 |
29. | 39.60 | Granville, NC / 58,071 |
29. | 39.60 | Rowan, NC / 136,880 |
31. | 39.70 | Iredell, NC / 154,632 |
32. | 39.80 | Wilson, NC / 79,533 |
33. | 39.90 | Montgomery, NC / 27,611 |
34. | 40.00 | Randolph, NC / 140,034 |
34. | 40.00 | Catawba, NC / 153,149 |
36. | 40.10 | Richmond, NC / 46,477 |
37. | 40.20 | Franklin, NC / 58,473 |
38. | 40.50 | Davidson, NC / 160,638 |
39. | 40.60 | Nash, NC / 94,402 |
39. | 40.60 | Camden, NC / 9,719 |
41. | 40.80 | Currituck, NC / 23,299 |
42. | 40.90 | Cleveland, NC / 97,786 |
43. | 41.00 | Alexander, NC / 36,797 |
43. | 41.00 | Edgecombe, NC / 56,247 |
43. | 41.00 | Columbus, NC / 56,856 |
46. | 41.10 | Lincoln, NC / 75,697 |
47. | 41.60 | Stanly, NC / 60,109 |
47. | 41.60 | Greene, NC / 21,157 |
49. | 41.70 | Caldwell, NC / 82,162 |
49. | 41.70 | Bladen, NC / 34,629 |
51. | 41.80 | Yadkin, NC / 38,158 |
51. | 41.80 | Stokes, NC / 47,194 |
53. | 42.00 | Swain, NC / 13,861 |
54. | 42.20 | Burke, NC / 90,557 |
54. | 42.20 | Anson, NC / 26,785 |
54. | 42.20 | Person, NC / 38,942 |
57. | 42.30 | Buncombe, NC / 233,249 |
57. | 42.30 | Lenoir, NC / 59,307 |
59. | 42.40 | Surry, NC / 73,287 |
59. | 42.40 | Davie, NC / 40,581 |
59. | 42.40 | Hertford, NC / 24,384 |
62. | 42.50 | Pender, NC / 50,256 |
63. | 42.60 | Graham, NC / 8,702 |
64. | 42.70 | Gates, NC / 12,039 |
65. | 42.80 | Rockingham, NC / 93,322 |
65. | 42.80 | Wilkes, NC / 69,063 |
65. | 42.80 | Rutherford, NC / 66,928 |
68. | 43.00 | Halifax, NC / 55,293 |
69. | 43.10 | Mcdowell, NC / 44,593 |
70. | 43.90 | Chatham, NC / 61,426 |
71. | 44.10 | Washington, NC / 13,248 |
72. | 44.20 | Avery, NC / 17,951 |
73. | 44.30 | Caswell, NC / 23,848 |
73. | 44.30 | Martin, NC / 24,471 |
75. | 44.40 | Dare, NC / 33,650 |
76. | 44.60 | Madison, NC / 20,549 |
76. | 44.60 | Beaufort, NC / 47,185 |
78. | 44.70 | Jones, NC / 10,060 |
79. | 44.90 | Bertie, NC / 20,890 |
80. | 46.10 | Moore, NC / 85,914 |
80. | 46.10 | Ashe, NC / 26,787 |
82. | 46.30 | Chowan, NC / 14,859 |
82. | 46.30 | Carteret, NC / 65,068 |
82. | 46.30 | Yancey, NC / 17,911 |
85. | 46.40 | Mitchell, NC / 15,680 |
86. | 46.50 | Haywood, NC / 58,597 |
86. | 46.50 | Hyde, NC / 5,721 |
88. | 46.70 | Henderson, NC / 103,881 |
89. | 46.90 | Northampton, NC / 22,161 |
90. | 47.10 | Perquimans, NC / 13,091 |
91. | 47.20 | Warren, NC / 20,810 |
92. | 47.30 | Tyrrell, NC / 4,374 |
93. | 47.70 | Brunswick, NC / 101,994 |
94. | 48.00 | Cherokee, NC / 27,317 |
95. | 48.50 | Alleghany, NC / 11,084 |
96. | 49.10 | Macon, NC / 33,453 |
97. | 49.50 | Pamlico, NC / 13,072 |
98. | 50.20 | Transylvania, NC / 32,404 |
99. | 50.40 | Polk, NC / 20,289 |
100. | 50.60 | Clay, NC / 10,418 |
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.