Local Data Search
A total of 92 results found. Show Results on Map.
| Rank | Percentage of Population Never Married Female Age 15 or Older ▼ | County / Population |
| 1. | 44.2% | Monroe, IN / 134,442 |
| 2. | 37.9% | Tippecanoe, IN / 168,635 |
| 3. | 34.2% | Marion, IN / 890,976 |
| 4. | 34.0% | Delaware, IN / 117,344 |
| 5. | 30.5% | St Joseph, IN / 266,522 |
| 6. | 30.3% | Lake, IN / 494,417 |
| 7. | 29.1% | Vigo, IN / 107,151 |
| 8. | 28.4% | Vanderburgh, IN / 178,298 |
| 9. | 27.4% | Grant, IN / 70,176 |
| 10. | 26.9% | Allen, IN / 351,332 |
| 11. | 25.2% | Elkhart, IN / 196,855 |
| 12. | 24.6% | Jefferson, IN / 32,393 |
| 13. | 24.4% | Madison, IN / 131,444 |
| 14. | 24.1% | Wayne, IN / 69,187 |
| 15. | 24.0% | Knox, IN / 38,425 |
| 16. | 24.0% | Putnam, IN / 38,048 |
| 17. | 24.0% | La Porte, IN / 110,937 |
| 18. | 23.6% | Floyd, IN / 73,594 |
| 19. | 23.5% | Porter, IN / 162,026 |
| 20. | 23.2% | Clark, IN / 107,381 |
| 21. | 22.4% | Franklin, IN / 23,194 |
| 22. | 22.3% | Daviess, IN / 31,045 |
| 23. | 22.3% | Parke, IN / 17,394 |
| 24. | 22.1% | Wabash, IN / 33,225 |
| 25. | 21.5% | Jay, IN / 21,441 |
| 26. | 21.5% | Union, IN / 7,463 |
| 27. | 21.4% | Huntington, IN / 37,321 |
| 28. | 21.3% | Johnson, IN / 135,994 |
| 29. | 21.2% | Howard, IN / 83,326 |
| 30. | 21.2% | Adams, IN / 34,162 |
| 31. | 21.0% | Jasper, IN / 33,055 |
| 32. | 20.9% | Scott, IN / 24,109 |
| 33. | 20.9% | Lagrange, IN / 36,996 |
| 34. | 20.7% | Clinton, IN / 33,270 |
| 35. | 20.6% | Martin, IN / 10,324 |
| 36. | 20.4% | Ripley, IN / 28,570 |
| 37. | 20.3% | Benton, IN / 8,820 |
| 38. | 20.1% | Marshall, IN / 46,976 |
| 39. | 20.1% | Gibson, IN / 33,386 |
| 40. | 20.0% | De Kalb, IN / 41,968 |
| 41. | 19.9% | Cass, IN / 39,058 |
| 41. | 19.9% | Bartholomew, IN / 75,855 |
| 43. | 19.8% | Hamilton, IN / 261,244 |
| 44. | 19.8% | Blackford, IN / 12,960 |
| 45. | 19.7% | Miami, IN / 37,307 |
| 46. | 19.7% | Dearborn, IN / 49,580 |
| 47. | 19.7% | Posey, IN / 26,100 |
| 48. | 19.6% | Pulaski, IN / 13,596 |
| 49. | 19.6% | Randolph, IN / 26,262 |
| 50. | 19.5% | Hancock, IN / 68,011 |
| 51. | 19.4% | Noble, IN / 47,513 |
| 51. | 19.4% | Hendricks, IN / 140,028 |
| 53. | 19.3% | Warren, IN / 8,563 |
| 54. | 19.3% | Shelby, IN / 44,237 |
| 55. | 19.3% | Dubois, IN / 41,809 |
| 56. | 19.2% | Steuben, IN / 34,092 |
| 56. | 19.2% | Sullivan, IN / 21,520 |
| 58. | 19.2% | Owen, IN / 21,737 |
| 59. | 19.1% | Decatur, IN / 25,584 |
| 60. | 19.0% | Jennings, IN / 28,470 |
| 61. | 19.0% | Morgan, IN / 68,654 |
| 62. | 18.9% | Kosciusko, IN / 76,982 |
| 63. | 18.7% | Montgomery, IN / 38,138 |
| 64. | 18.7% | Starke, IN / 23,343 |
| 64. | 18.7% | Wells, IN / 27,744 |
| 66. | 18.7% | Greene, IN / 33,084 |
| 67. | 18.6% | Washington, IN / 28,226 |
| 68. | 18.2% | Rush, IN / 17,568 |
| 69. | 18.1% | Clay, IN / 26,983 |
| 70. | 18.0% | Ohio, IN / 6,067 |
| 71. | 17.9% | Warrick, IN / 58,393 |
| 72. | 17.9% | Boone, IN / 54,796 |
| 73. | 17.9% | Switzerland, IN / 10,393 |
| 74. | 17.8% | Fayette, IN / 24,367 |
| 75. | 17.7% | Harrison, IN / 38,616 |
| 75. | 17.7% | Whitley, IN / 32,991 |
| 77. | 17.6% | Henry, IN / 48,921 |
| 78. | 17.5% | Crawford, IN / 10,825 |
| 79. | 17.3% | Carroll, IN / 20,135 |
| 80. | 17.2% | Fulton, IN / 20,684 |
| 81. | 17.0% | Perry, IN / 19,316 |
| 81. | 17.0% | Vermillion, IN / 16,412 |
| 83. | 16.8% | Fountain, IN / 17,329 |
| 84. | 16.8% | Lawrence, IN / 46,192 |
| 85. | 16.8% | Tipton, IN / 16,132 |
| 86. | 16.0% | Orange, IN / 19,820 |
| 87. | 15.9% | Jackson, IN / 41,902 |
| 88. | 15.5% | White, IN / 24,734 |
| 89. | 15.4% | Newton, IN / 14,300 |
| 90. | 15.4% | Brown, IN / 15,271 |
| 91. | 15.3% | Spencer, IN / 20,977 |
| 92. | 13.8% | Pike, IN / 12,955 |
Please note that we only rank locations with 'Percentage of Population Never Married Female Age 15 or Older' data. The rank above might not be a complete list. Locations without 'Percentage of Population Never Married Female Age 15 or Older' 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.