Local Data Search
A total of 92 results found. Show Results on Map.
| Rank | Married-Couple Family Household Percentage ▼ | County / Population |
| 1. | 66.40% | Lagrange, IN / 36,996 |
| 2. | 65.11% | Warrick, IN / 58,393 |
| 3. | 64.19% | Spencer, IN / 20,977 |
| 4. | 64.02% | Boone, IN / 54,796 |
| 5. | 63.86% | Hamilton, IN / 261,244 |
| 6. | 63.56% | Hendricks, IN / 140,028 |
| 7. | 63.28% | Harrison, IN / 38,616 |
| 8. | 62.08% | Hancock, IN / 68,011 |
| 8. | 62.08% | Pulaski, IN / 13,596 |
| 10. | 62.06% | Morgan, IN / 68,654 |
| 11. | 61.75% | Franklin, IN / 23,194 |
| 12. | 61.60% | Carroll, IN / 20,135 |
| 12. | 61.60% | Ohio, IN / 6,067 |
| 14. | 61.54% | Union, IN / 7,463 |
| 15. | 61.28% | Posey, IN / 26,100 |
| 16. | 60.95% | Brown, IN / 15,271 |
| 17. | 60.85% | Jasper, IN / 33,055 |
| 18. | 60.63% | Newton, IN / 14,300 |
| 19. | 60.55% | Clay, IN / 26,983 |
| 20. | 60.20% | Putnam, IN / 38,048 |
| 21. | 59.91% | Dearborn, IN / 49,580 |
| 22. | 59.64% | Dubois, IN / 41,809 |
| 23. | 59.59% | Rush, IN / 17,568 |
| 24. | 59.34% | Adams, IN / 34,162 |
| 25. | 59.22% | Wells, IN / 27,744 |
| 26. | 59.15% | Marshall, IN / 46,976 |
| 26. | 59.15% | Steuben, IN / 34,092 |
| 28. | 59.05% | Warren, IN / 8,563 |
| 29. | 58.77% | White, IN / 24,734 |
| 30. | 58.61% | Noble, IN / 47,513 |
| 31. | 58.13% | Pike, IN / 12,955 |
| 32. | 58.06% | Kosciusko, IN / 76,982 |
| 33. | 58.03% | Ripley, IN / 28,570 |
| 34. | 57.92% | Montgomery, IN / 38,138 |
| 35. | 57.90% | Tipton, IN / 16,132 |
| 36. | 57.85% | Jackson, IN / 41,902 |
| 37. | 57.67% | Orange, IN / 19,820 |
| 38. | 57.65% | Johnson, IN / 135,994 |
| 39. | 57.59% | Whitley, IN / 32,991 |
| 40. | 57.50% | Martin, IN / 10,324 |
| 41. | 57.43% | Wabash, IN / 33,225 |
| 42. | 57.35% | Huntington, IN / 37,321 |
| 43. | 56.92% | Decatur, IN / 25,584 |
| 44. | 56.82% | Washington, IN / 28,226 |
| 45. | 56.52% | Shelby, IN / 44,237 |
| 46. | 56.45% | De Kalb, IN / 41,968 |
| 47. | 56.41% | Miami, IN / 37,307 |
| 48. | 56.11% | Owen, IN / 21,737 |
| 49. | 55.95% | Henry, IN / 48,921 |
| 50. | 55.74% | Porter, IN / 162,026 |
| 51. | 55.30% | Daviess, IN / 31,045 |
| 52. | 55.26% | Bartholomew, IN / 75,855 |
| 53. | 55.12% | Lawrence, IN / 46,192 |
| 53. | 55.12% | Greene, IN / 33,084 |
| 55. | 54.97% | Crawford, IN / 10,825 |
| 56. | 54.87% | Elkhart, IN / 196,855 |
| 57. | 54.75% | Clinton, IN / 33,270 |
| 58. | 54.53% | Starke, IN / 23,343 |
| 59. | 54.52% | Cass, IN / 39,058 |
| 60. | 54.48% | Fulton, IN / 20,684 |
| 61. | 54.27% | Benton, IN / 8,820 |
| 62. | 53.97% | Randolph, IN / 26,262 |
| 63. | 53.96% | Perry, IN / 19,316 |
| 64. | 53.93% | Fountain, IN / 17,329 |
| 65. | 53.77% | Gibson, IN / 33,386 |
| 66. | 53.65% | Switzerland, IN / 10,393 |
| 67. | 53.47% | Scott, IN / 24,109 |
| 68. | 53.26% | Sullivan, IN / 21,520 |
| 69. | 53.19% | Jay, IN / 21,441 |
| 70. | 53.07% | Jennings, IN / 28,470 |
| 71. | 52.99% | Vermillion, IN / 16,412 |
| 72. | 52.59% | Floyd, IN / 73,594 |
| 73. | 52.25% | Howard, IN / 83,326 |
| 74. | 52.24% | Fayette, IN / 24,367 |
| 74. | 52.24% | Parke, IN / 17,394 |
| 76. | 51.17% | La Porte, IN / 110,937 |
| 77. | 50.61% | Jefferson, IN / 32,393 |
| 78. | 50.53% | Grant, IN / 70,176 |
| 79. | 50.36% | Blackford, IN / 12,960 |
| 80. | 49.53% | Allen, IN / 351,332 |
| 81. | 49.38% | Knox, IN / 38,425 |
| 82. | 48.57% | Wayne, IN / 69,187 |
| 83. | 47.96% | Clark, IN / 107,381 |
| 84. | 47.71% | St Joseph, IN / 266,522 |
| 85. | 47.55% | Madison, IN / 131,444 |
| 86. | 46.22% | Lake, IN / 494,417 |
| 87. | 45.72% | Vigo, IN / 107,151 |
| 88. | 44.90% | Delaware, IN / 117,344 |
| 89. | 44.42% | Vanderburgh, IN / 178,298 |
| 90. | 44.01% | Tippecanoe, IN / 168,635 |
| 91. | 40.12% | Monroe, IN / 134,442 |
| 92. | 38.26% | Marion, IN / 890,976 |
Please note that we only rank locations with 'Married-Couple Family Household Percentage' data. The rank above might not be a complete list. Locations without 'Married-Couple Family Household Percentage' 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.