Local Data Search
A total of 88 results found. Show Results on Map.
| Rank | Average Social Security Income per Household ▼ | County / Population |
| 1. | $16,738 | Geauga, OH / 98,143 |
| 2. | $16,547 | Medina, OH / 169,946 |
| 3. | $16,315 | Lake, OH / 234,634 |
| 4. | $16,294 | Ottawa, OH / 41,132 |
| 5. | $16,266 | Delaware, OH / 159,868 |
| 6. | $16,188 | Warren, OH / 203,129 |
| 7. | $15,976 | Fulton, OH / 42,482 |
| 8. | $15,608 | Wood, OH / 124,975 |
| 9. | $15,549 | Clermont, OH / 193,377 |
| 10. | $15,516 | Huron, OH / 59,997 |
| 11. | $15,459 | Ashland, OH / 54,622 |
| 12. | $15,443 | Shelby, OH / 48,712 |
| 13. | $15,422 | Portage, OH / 156,001 |
| 14. | $15,411 | Butler, OH / 356,878 |
| 15. | $15,351 | Erie, OH / 77,400 |
| 16. | $15,320 | Mercer, OH / 40,761 |
| 17. | $15,320 | Miami, OH / 100,982 |
| 18. | $15,278 | Putnam, OH / 34,529 |
| 19. | $15,254 | Morrow, OH / 34,435 |
| 20. | $15,240 | Stark, OH / 379,468 |
| 21. | $15,198 | Auglaize, OH / 46,620 |
| 22. | $15,173 | Fairfield, OH / 140,842 |
| 23. | $15,154 | Carroll, OH / 28,752 |
| 24. | $15,145 | Preble, OH / 41,689 |
| 25. | $15,129 | Hancock, OH / 74,058 |
| 26. | $15,113 | Trumbull, OH / 213,350 |
| 27. | $15,108 | Pickaway, OH / 53,864 |
| 28. | $15,078 | Wayne, OH / 113,828 |
| 29. | $15,072 | Lorain, OH / 302,811 |
| 30. | $15,061 | Wyandot, OH / 22,499 |
| 31. | $15,056 | Summit, OH / 544,221 |
| 32. | $15,031 | Union, OH / 47,406 |
| 33. | $15,017 | Sandusky, OH / 60,659 |
| 34. | $15,003 | Jefferson, OH / 68,762 |
| 35. | $14,964 | Darke, OH / 52,196 |
| 36. | $14,957 | Richland, OH / 125,791 |
| 37. | $14,953 | Paulding, OH / 19,186 |
| 38. | $14,938 | Holmes, OH / 41,452 |
| 39. | $14,815 | Coshocton, OH / 36,215 |
| 40. | $14,784 | Allen, OH / 104,946 |
| 41. | $14,784 | Van Wert, OH / 28,846 |
| 42. | $14,746 | Williams, OH / 38,204 |
| 43. | $14,722 | Washington, OH / 61,461 |
| 44. | $14,722 | Brown, OH / 43,823 |
| 45. | $14,693 | Crawford, OH / 44,181 |
| 46. | $14,678 | Licking, OH / 156,414 |
| 47. | $14,667 | Ross, OH / 75,629 |
| 48. | $14,659 | Madison, OH / 41,629 |
| 49. | $14,648 | Champaign, OH / 39,549 |
| 50. | $14,611 | Knox, OH / 58,871 |
| 51. | $14,573 | Harrison, OH / 15,430 |
| 52. | $14,560 | Columbiana, OH / 108,683 |
| 53. | $14,539 | Hamilton, OH / 851,867 |
| 54. | $14,503 | Belmont, OH / 68,372 |
| 55. | $14,433 | Clinton, OH / 42,820 |
| 56. | $14,430 | Cuyahoga, OH / 1,296,287 |
| 57. | $14,429 | Ashtabula, OH / 101,375 |
| 58. | $14,428 | Logan, OH / 46,430 |
| 59. | $14,407 | Defiance, OH / 38,516 |
| 60. | $14,395 | Greene, OH / 158,389 |
| 61. | $14,391 | Seneca, OH / 56,711 |
| 62. | $14,365 | Hardin, OH / 31,739 |
| 63. | $14,357 | Lucas, OH / 464,956 |
| 64. | $14,337 | Tuscarawas, OH / 91,243 |
| 65. | $14,336 | Montgomery, OH / 538,299 |
| 66. | $14,205 | Lawrence, OH / 62,683 |
| 67. | $14,192 | Franklin, OH / 1,124,073 |
| 68. | $14,093 | Muskingum, OH / 85,099 |
| 69. | $14,069 | Perry, OH / 35,080 |
| 70. | $14,061 | Henry, OH / 28,976 |
| 71. | $14,032 | Clark, OH / 140,419 |
| 72. | $13,967 | Mahoning, OH / 241,071 |
| 73. | $13,953 | Fayette, OH / 28,205 |
| 74. | $13,883 | Noble, OH / 14,242 |
| 75. | $13,874 | Marion, OH / 65,593 |
| 76. | $13,801 | Hocking, OH / 28,857 |
| 77. | $13,688 | Meigs, OH / 22,898 |
| 78. | $13,576 | Adams, OH / 28,142 |
| 79. | $13,574 | Scioto, OH / 76,310 |
| 80. | $13,523 | Morgan, OH / 14,495 |
| 81. | $13,520 | Vinton, OH / 13,274 |
| 82. | $13,410 | Guernsey, OH / 40,332 |
| 83. | $13,179 | Monroe, OH / 14,276 |
| 84. | $13,177 | Pike, OH / 27,855 |
| 85. | $13,137 | Gallia, OH / 30,837 |
| 86. | $13,119 | Highland, OH / 42,384 |
| 87. | $12,267 | Athens, OH / 63,073 |
| 88. | $12,225 | Jackson, OH / 33,342 |
Please note that we only rank locations with 'Average Social Security Income per Household' data. The rank above might not be a complete list. Locations without 'Average Social Security Income per Household' 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.