Local Data Search
A total of 88 results found. Show Results on Map.
| Rank | Average Social Security Income per Household ▼ | County / Population |
| 1. | $18,695 | Geauga, OH / 93,485 |
| 2. | $18,361 | Delaware, OH / 174,454 |
| 3. | $17,937 | Medina, OH / 172,334 |
| 4. | $17,785 | Warren, OH / 213,146 |
| 5. | $17,672 | Lake, OH / 229,873 |
| 6. | $17,484 | Auglaize, OH / 45,934 |
| 7. | $17,394 | Ottawa, OH / 41,445 |
| 8. | $17,382 | Van Wert, OH / 28,808 |
| 9. | $17,361 | Fulton, OH / 42,635 |
| 10. | $17,220 | Huron, OH / 59,628 |
| 11. | $17,182 | Portage, OH / 161,178 |
| 12. | $17,171 | Hancock, OH / 75,043 |
| 13. | $17,141 | Holmes, OH / 42,501 |
| 14. | $17,108 | Clermont, OH / 197,543 |
| 15. | $17,088 | Wayne, OH / 114,644 |
| 16. | $17,044 | Williams, OH / 37,779 |
| 17. | $17,016 | Butler, OH / 368,029 |
| 18. | $16,989 | Miami, OH / 102,657 |
| 19. | $16,975 | Stark, OH / 375,593 |
| 20. | $16,970 | Darke, OH / 52,776 |
| 21. | $16,967 | Lorain, OH / 301,108 |
| 22. | $16,930 | Union, OH / 52,153 |
| 23. | $16,929 | Shelby, OH / 49,359 |
| 24. | $16,924 | Crawford, OH / 43,623 |
| 25. | $16,900 | Wood, OH / 126,254 |
| 26. | $16,895 | Defiance, OH / 38,975 |
| 27. | $16,857 | Sandusky, OH / 60,842 |
| 28. | $16,835 | Fairfield, OH / 146,138 |
| 29. | $16,826 | Erie, OH / 76,952 |
| 30. | $16,809 | Champaign, OH / 39,982 |
| 31. | $16,762 | Hardin, OH / 31,986 |
| 32. | $16,670 | Summit, OH / 541,788 |
| 33. | $16,612 | Henry, OH / 28,246 |
| 34. | $16,603 | Morrow, OH / 34,895 |
| 35. | $16,597 | Paulding, OH / 19,522 |
| 36. | $16,581 | Putnam, OH / 34,445 |
| 37. | $16,579 | Trumbull, OH / 209,942 |
| 38. | $16,537 | Washington, OH / 61,751 |
| 39. | $16,521 | Wyandot, OH / 22,626 |
| 40. | $16,503 | Mercer, OH / 40,866 |
| 41. | $16,488 | Allen, OH / 106,079 |
| 42. | $16,443 | Ashland, OH / 53,203 |
| 43. | $16,424 | Coshocton, OH / 36,880 |
| 44. | $16,423 | Greene, OH / 161,936 |
| 45. | $16,374 | Preble, OH / 42,240 |
| 46. | $16,327 | Richland, OH / 124,286 |
| 47. | $16,313 | Brown, OH / 44,666 |
| 48. | $16,289 | Jefferson, OH / 69,343 |
| 49. | $16,277 | Ashtabula, OH / 101,262 |
| 50. | $16,277 | Marion, OH / 66,514 |
| 51. | $16,269 | Logan, OH / 45,816 |
| 52. | $16,261 | Lucas, OH / 441,198 |
| 53. | $16,254 | Knox, OH / 60,791 |
| 54. | $16,246 | Harrison, OH / 15,818 |
| 55. | $16,180 | Madison, OH / 43,213 |
| 56. | $16,173 | Licking, OH / 166,135 |
| 57. | $16,130 | Columbiana, OH / 107,598 |
| 58. | $16,062 | Clark, OH / 138,278 |
| 59. | $16,059 | Hamilton, OH / 801,350 |
| 60. | $16,035 | Pickaway, OH / 55,795 |
| 61. | $15,974 | Clinton, OH / 42,161 |
| 62. | $15,952 | Carroll, OH / 28,828 |
| 63. | $15,935 | Tuscarawas, OH / 92,532 |
| 64. | $15,916 | Belmont, OH / 70,182 |
| 65. | $15,886 | Seneca, OH / 56,630 |
| 66. | $15,880 | Montgomery, OH / 535,626 |
| 67. | $15,875 | Cuyahoga, OH / 1,278,024 |
| 68. | $15,766 | Franklin, OH / 1,167,484 |
| 69. | $15,763 | Vinton, OH / 13,397 |
| 70. | $15,729 | Lawrence, OH / 62,441 |
| 71. | $15,729 | Morgan, OH / 15,042 |
| 72. | $15,692 | Meigs, OH / 23,664 |
| 73. | $15,685 | Ross, OH / 77,741 |
| 74. | $15,663 | Mahoning, OH / 238,352 |
| 75. | $15,642 | Noble, OH / 14,643 |
| 76. | $15,414 | Perry, OH / 36,086 |
| 77. | $15,367 | Monroe, OH / 14,679 |
| 78. | $15,260 | Pike, OH / 28,652 |
| 79. | $15,217 | Guernsey, OH / 40,056 |
| 80. | $15,206 | Adams, OH / 28,524 |
| 81. | $15,172 | Fayette, OH / 28,931 |
| 82. | $15,050 | Muskingum, OH / 85,996 |
| 83. | $14,951 | Gallia, OH / 30,877 |
| 84. | $14,938 | Highland, OH / 43,454 |
| 85. | $14,909 | Hocking, OH / 29,372 |
| 86. | $14,890 | Scioto, OH / 79,122 |
| 87. | $14,254 | Jackson, OH / 33,134 |
| 88. | $13,295 | Athens, OH / 64,592 |
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.