Local Data Search
A total of 88 results found. Show Results on Map.
| Rank | Median Household Income for Population Ages 65 or Older ▼ | County / Population |
| 1. | $44,631 | Delaware, OH / 166,108 |
| 2. | $41,877 | Geauga, OH / 93,604 |
| 3. | $40,519 | Greene, OH / 159,940 |
| 4. | $38,450 | Medina, OH / 170,137 |
| 5. | $38,266 | Warren, OH / 207,790 |
| 6. | $36,960 | Portage, OH / 159,943 |
| 7. | $35,797 | Clermont, OH / 195,312 |
| 8. | $35,054 | Fairfield, OH / 143,949 |
| 9. | $34,881 | Fulton, OH / 42,756 |
| 10. | $34,623 | Butler, OH / 363,465 |
| 11. | $34,532 | Lake, OH / 229,418 |
| 12. | $34,341 | Hamilton, OH / 802,194 |
| 13. | $34,214 | Franklin, OH / 1,141,117 |
| 14. | $33,998 | Wood, OH / 125,295 |
| 15. | $33,736 | Union, OH / 50,708 |
| 16. | $33,720 | Ottawa, OH / 41,553 |
| 17. | $33,579 | Lorain, OH / 299,605 |
| 18. | $33,578 | Licking, OH / 163,708 |
| 19. | $33,439 | Miami, OH / 102,315 |
| 20. | $33,366 | Madison, OH / 42,844 |
| 21. | $33,159 | Auglaize, OH / 46,023 |
| 22. | $32,939 | Champaign, OH / 40,140 |
| 23. | $32,766 | Morrow, OH / 34,815 |
| 24. | $32,738 | Montgomery, OH / 538,461 |
| 25. | $32,675 | Preble, OH / 42,502 |
| 26. | $32,521 | Summit, OH / 543,150 |
| 27. | $32,420 | Wayne, OH / 114,438 |
| 28. | $32,390 | Clark, OH / 139,374 |
| 29. | $32,278 | Defiance, OH / 39,119 |
| 30. | $32,258 | Hancock, OH / 74,670 |
| 31. | $31,828 | Washington, OH / 62,066 |
| 32. | $31,653 | Erie, OH / 77,454 |
| 33. | $31,581 | Mercer, OH / 40,958 |
| 34. | $31,522 | Pickaway, OH / 55,128 |
| 35. | $31,442 | Wyandot, OH / 22,665 |
| 36. | $31,304 | Stark, OH / 376,346 |
| 37. | $30,738 | Lucas, OH / 444,046 |
| 38. | $30,529 | Richland, OH / 125,980 |
| 39. | $30,480 | Trumbull, OH / 212,780 |
| 40. | $30,420 | Van Wert, OH / 29,029 |
| 41. | $30,271 | Huron, OH / 59,932 |
| 42. | $29,988 | Holmes, OH / 42,068 |
| 43. | $29,933 | Shelby, OH / 49,350 |
| 44. | $29,811 | Williams, OH / 38,172 |
| 45. | $29,804 | Hardin, OH / 32,104 |
| 46. | $29,775 | Sandusky, OH / 61,284 |
| 47. | $29,763 | Henry, OH / 28,546 |
| 48. | $29,753 | Allen, OH / 106,586 |
| 49. | $29,746 | Ashland, OH / 53,341 |
| 50. | $29,633 | Knox, OH / 60,201 |
| 51. | $29,515 | Coshocton, OH / 37,046 |
| 52. | $29,490 | Crawford, OH / 44,294 |
| 53. | $29,073 | Cuyahoga, OH / 1,293,825 |
| 54. | $28,881 | Logan, OH / 46,006 |
| 55. | $28,744 | Carroll, OH / 28,988 |
| 56. | $28,733 | Putnam, OH / 34,647 |
| 57. | $28,721 | Fayette, OH / 28,913 |
| 58. | $28,594 | Paulding, OH / 19,679 |
| 59. | $28,430 | Jefferson, OH / 70,041 |
| 60. | $28,363 | Ross, OH / 77,537 |
| 61. | $28,233 | Columbiana, OH / 108,609 |
| 62. | $28,125 | Noble, OH / 14,634 |
| 62. | $28,125 | Darke, OH / 52,945 |
| 64. | $27,840 | Vinton, OH / 13,485 |
| 65. | $27,764 | Ashtabula, OH / 101,867 |
| 66. | $27,674 | Pike, OH / 28,674 |
| 67. | $27,637 | Seneca, OH / 57,091 |
| 68. | $27,608 | Hocking, OH / 29,338 |
| 69. | $27,606 | Athens, OH / 64,455 |
| 70. | $27,512 | Mahoning, OH / 241,899 |
| 71. | $27,303 | Marion, OH / 66,530 |
| 72. | $27,231 | Clinton, OH / 42,416 |
| 73. | $27,180 | Brown, OH / 44,618 |
| 74. | $26,845 | Highland, OH / 43,648 |
| 75. | $26,792 | Perry, OH / 35,843 |
| 76. | $26,661 | Muskingum, OH / 85,951 |
| 77. | $26,507 | Monroe, OH / 14,751 |
| 78. | $26,134 | Tuscarawas, OH / 92,508 |
| 79. | $26,105 | Lawrence, OH / 62,647 |
| 80. | $25,914 | Belmont, OH / 70,403 |
| 81. | $24,906 | Scioto, OH / 78,988 |
| 82. | $24,890 | Meigs, OH / 23,649 |
| 83. | $24,444 | Guernsey, OH / 40,351 |
| 84. | $24,152 | Gallia, OH / 30,943 |
| 85. | $23,987 | Harrison, OH / 15,867 |
| 86. | $23,878 | Jackson, OH / 33,165 |
| 87. | $23,869 | Morgan, OH / 15,113 |
| 88. | $23,816 | Adams, OH / 28,578 |
Please note that we only rank locations with 'Median Household Income for Population Ages 65 or Older' data. The rank above might not be a complete list. Locations without 'Median Household Income for Population Ages 65 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.