Local Data Search
A total of 92 results found. Show Results on Map.
| Rank | Median Household Income ▼ | Census Tract / Population |
| 1. | $58,125 | GA277960100 / 2,273 |
| 2. | $55,500 | GA091960100 / 3,609 |
| 3. | $54,123 | GA277960500 / 4,574 |
| 4. | $49,160 | GA277960300 / 6,087 |
| 5. | $48,558 | GA173950100 / 2,171 |
| 6. | $48,298 | GA277960200 / 2,568 |
| 7. | $48,261 | GA155950100 / 2,421 |
| 8. | $46,963 | GA299950200 / 7,584 |
| 9. | $45,795 | GA235950300 / 1,308 |
| 10. | $45,648 | GA175950700 / 2,798 |
| 11. | $44,838 | GA075960300 / 6,467 |
| 12. | $44,766 | GA175951100 / 3,274 |
| 13. | $43,825 | GA069010600 / 5,494 |
| 14. | $43,372 | GA001950100 / 2,860 |
| 15. | $42,026 | GA019970600 / 3,635 |
| 16. | $41,923 | GA069010500 / 4,374 |
| 17. | $41,813 | GA005970100 / 2,711 |
| 18. | $41,348 | GA321950200 / 6,959 |
| 19. | $40,917 | GA315960200 / 1,441 |
| 20. | $40,781 | GA299950100 / 1,386 |
| 21. | $40,697 | GA277960900 / 3,201 |
| 22. | $40,530 | GA287970300 / 3,422 |
| 23. | $39,851 | GA235950100 / 3,217 |
| 24. | $38,958 | GA001950300 / 4,992 |
| 25. | $38,942 | GA309780100 / 2,367 |
| 26. | $38,561 | GA175951400 / 2,254 |
| 27. | $37,739 | GA017960100 / 2,100 |
| 28. | $37,599 | GA069010802 / 4,385 |
| 29. | $36,667 | GA209950300 / 2,209 |
| 30. | $36,426 | GA001950500 / 4,086 |
| 31. | $36,304 | GA081010300 / 3,785 |
| 32. | $36,017 | GA091960600 / 2,064 |
| 33. | $35,750 | GA321950100 / 2,641 |
| 34. | $35,721 | GA081010500 / 1,758 |
| 35. | $35,439 | GA161960300 / 1,729 |
| 36. | $35,260 | GA017960300 / 4,242 |
| 37. | $35,243 | GA161960100 / 7,147 |
| 38. | $34,899 | GA003960300 / 1,059 |
| 39. | $34,650 | GA069010400 / 5,293 |
| 40. | $34,293 | GA315960400 / 2,059 |
| 41. | $34,242 | GA069010100 / 3,541 |
| 42. | $34,190 | GA023790200 / 3,369 |
| 43. | $34,033 | GA023790300 / 5,079 |
| 44. | $33,889 | GA019970500 / 3,817 |
| 45. | $33,785 | GA321950400 / 4,361 |
| 46. | $33,750 | GA003960200 / 5,055 |
| 47. | $33,697 | GA091960300 / 5,617 |
| 48. | $32,928 | GA075960400 / 4,556 |
| 49. | $32,883 | GA019970400 / 2,873 |
| 50. | $32,824 | GA173950200 / 7,233 |
| 51. | $32,813 | GA209950200 / 5,094 |
| 52. | $32,759 | GA003960100 / 2,218 |
| 53. | $32,358 | GA005970202 / 4,262 |
| 54. | $32,227 | GA019970100 / 1,768 |
| 55. | $32,191 | GA155950200 / 7,221 |
| 56. | $31,565 | GA093970300 / 6,643 |
| 57. | $31,183 | GA071970100 / 5,127 |
| 58. | $31,142 | GA091960200 / 3,745 |
| 59. | $31,115 | GA093970100 / 5,881 |
| 60. | $31,078 | GA279970600 / 3,332 |
| 61. | $31,047 | GA277960800 / 3,487 |
| 62. | $30,694 | GA309780200 / 4,726 |
| 63. | $30,664 | GA235950200 / 7,107 |
| 64. | $30,625 | GA069010801 / 4,799 |
| 65. | $30,613 | GA161960200 / 5,682 |
| 66. | $30,500 | GA017960200 / 1,637 |
| 67. | $30,132 | GA277960700 / 5,381 |
| 68. | $29,725 | GA277960400 / 6,672 |
| 69. | $29,653 | GA005970201 / 3,996 |
| 70. | $29,333 | GA017960400 / 4,206 |
| 71. | $29,232 | GA081010400 / 4,699 |
| 72. | $29,219 | GA069010700 / 5,995 |
| 73. | $29,048 | GA001950200 / 4,230 |
| 74. | $28,516 | GA069010300 / 4,848 |
| 75. | $28,359 | GA075960200 / 3,886 |
| 76. | $28,235 | GA081010201 / 6,089 |
| 77. | $27,938 | GA081010202 / 2,737 |
| 78. | $27,695 | GA081010100 / 4,114 |
| 79. | $27,107 | GA069010200 / 2,918 |
| 80. | $26,389 | GA091960400 / 4,615 |
| 81. | $26,354 | GA019970200 / 3,792 |
| 82. | $26,172 | GA315960300 / 1,778 |
| 83. | $25,625 | GA271950100 / 10,706 |
| 84. | $25,374 | GA287970200 / 5,603 |
| 85. | $25,208 | GA091960500 / 1,752 |
| 86. | $24,250 | GA019970300 / 2,823 |
| 87. | $23,864 | GA315960100 / 3,763 |
| 88. | $23,462 | GA271950200 / 1,418 |
| 89. | $22,826 | GA017960500 / 5,446 |
| 90. | $22,561 | GA277960600 / 5,580 |
| 91. | $21,083 | GA075960100 / 2,067 |
| 92. | $20,556 | GA271950500 / 3,928 |
Please note that we only rank locations with 'Median Household Income' data. The rank above might not be a complete list. Locations without 'Median Household Income' 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.