Local Data Search
A total of 142 results found. Show Results on Map.
| Rank | Median Household Income ▼ | Census Tract / Population |
| 1. | $87,813 | NY111953300 / 4,116 |
| 2. | $84,161 | NY111954200 / 5,658 |
| 3. | $82,773 | NY071010902 / 5,383 |
| 4. | $81,865 | NY111952900 / 5,681 |
| 5. | $80,718 | NY111954400 / 9,357 |
| 6. | $73,214 | NY111951600 / 2,247 |
| 7. | $72,217 | NY071010901 / 3,754 |
| 8. | $71,111 | NY111954900 / 1,541 |
| 9. | $70,694 | NY111951200 / 4,283 |
| 10. | $67,303 | NY111952600 / 5,443 |
| 11. | $64,805 | NY001014803 / 3,392 |
| 12. | $64,359 | NY001014801 / 2,808 |
| 13. | $63,387 | NY111951100 / 2,102 |
| 14. | $62,875 | NY111952500 / 3,702 |
| 15. | $62,614 | NY001014802 / 1,873 |
| 16. | $61,901 | NY105951700 / 4,268 |
| 17. | $61,071 | NY111950500 / 3,161 |
| 18. | $60,089 | NY111950600 / 2,825 |
| 19. | $59,650 | NY105950300 / 1,238 |
| 20. | $59,519 | NY105951300 / 4,075 |
| 21. | $58,929 | NY111952700 / 2,881 |
| 22. | $58,182 | NY111954600 / 1,727 |
| 23. | $58,125 | NY105951200 / 7,906 |
| 24. | $57,917 | NY105952200 / 1,362 |
| 25. | $57,617 | NY095740700 / 5,625 |
| 26. | $56,761 | NY111951500 / 3,528 |
| 27. | $56,336 | NY111950100 / 4,929 |
| 28. | $55,952 | NY105952300 / 1,531 |
| 29. | $55,707 | NY111955000 / 5,363 |
| 30. | $55,638 | NY105952000 / 2,699 |
| 31. | $55,357 | NY095740100 / 5,401 |
| 32. | $54,844 | NY111952800 / 3,277 |
| 33. | $54,770 | NY095740400 / 5,142 |
| 34. | $54,732 | NY111952200 / 4,200 |
| 35. | $54,554 | NY111950300 / 4,765 |
| 36. | $54,158 | NY077590202 / 3,916 |
| 37. | $53,971 | NY111953000 / 1,941 |
| 38. | $53,705 | NY111950400 / 4,215 |
| 39. | $53,598 | NY105952100 / 2,709 |
| 40. | $53,553 | NY111951000 / 4,473 |
| 41. | $53,308 | NY025971100 / 2,493 |
| 42. | $53,171 | NY105950200 / 3,849 |
| 43. | $52,870 | NY111952000 / 2,577 |
| 44. | $52,182 | NY105950400 / 3,088 |
| 45. | $51,855 | NY095740800 / 2,693 |
| 46. | $51,523 | NY105952400 / 2,531 |
| 47. | $51,386 | NY077590100 / 4,364 |
| 48. | $51,059 | NY105950900 / 3,116 |
| 49. | $51,000 | NY111954500 / 4,365 |
| 50. | $50,893 | NY007012300 / 5,257 |
| 51. | $50,795 | NY105950100 / 3,583 |
| 52. | $50,781 | NY025970300 / 2,369 |
| 53. | $50,740 | NY111952300 / 1,712 |
| 53. | $50,740 | NY025970200 / 3,304 |
| 55. | $50,729 | NY111950200 / 4,021 |
| 56. | $50,714 | NY111953400 / 4,272 |
| 57. | $50,486 | PA103950201 / 3,638 |
| 58. | $50,353 | PA127960600 / 4,791 |
| 59. | $50,297 | NY077590800 / 5,205 |
| 60. | $50,250 | PA127960400 / 3,682 |
| 61. | $49,961 | NY039080202 / 2,720 |
| 62. | $49,869 | NY111951300 / 4,176 |
| 63. | $49,750 | NY025970800 / 4,520 |
| 64. | $49,676 | NY111951900 / 2,650 |
| 65. | $49,479 | NY105950600 / 1,421 |
| 66. | $48,542 | NY017970801 / 3,964 |
| 67. | $48,510 | NY077591200 / 2,331 |
| 68. | $48,464 | NY111950900 / 1,278 |
| 69. | $48,431 | NY039080501 / 2,324 |
| 70. | $48,271 | NY025970100 / 4,526 |
| 71. | $48,221 | NY077590400 / 5,917 |
| 72. | $48,031 | NY017970802 / 3,690 |
| 73. | $48,011 | NY105952500 / 2,529 |
| 74. | $47,813 | NY111954700 / 2,516 |
| 75. | $47,772 | PA127960500 / 3,675 |
| 76. | $47,734 | NY077591400 / 5,573 |
| 77. | $47,721 | PA127960300 / 1,968 |
| 78. | $47,564 | NY017970700 / 2,340 |
| 79. | $47,545 | NY095740600 / 3,474 |
| 80. | $47,361 | PA115032500 / 4,304 |
| 81. | $47,328 | NY017970100 / 6,074 |
| 82. | $47,246 | NY007012500 / 6,304 |
| 83. | $46,944 | NY105951100 / 3,422 |
| 84. | $46,779 | PA127960200 / 2,857 |
| 85. | $46,473 | NY017970602 / 4,066 |
| 86. | $46,362 | NY017970601 / 4,342 |
| 87. | $45,958 | NY077591500 / 3,498 |
| 88. | $45,900 | NY077591600 / 4,437 |
| 89. | $45,772 | NY077590600 / 1,963 |
| 90. | $45,598 | NY071011602 / 3,525 |
| 91. | $45,571 | NY111951400 / 3,459 |
| 92. | $45,461 | NY025971200 / 3,806 |
| 93. | $45,257 | NY017971000 / 3,630 |
| 94. | $45,150 | NY111953500 / 5,521 |
| 95. | $44,920 | NY095740500 / 3,800 |
| 96. | $44,892 | PA115032400 / 4,533 |
| 97. | $44,806 | NY077590500 / 3,041 |
| 98. | $44,231 | NY111951700 / 4,680 |
| 99. | $44,075 | PA127960800 / 5,357 |
| 100. | $43,952 | NY105951900 / 1,612 |
| 101. | $43,615 | NY077590700 / 4,172 |
| 102. | $43,467 | NY111955300 / 2,564 |
| 103. | $43,233 | NY039080300 / 3,027 |
| 104. | $43,049 | NY017970500 / 5,623 |
| 105. | $42,790 | NY039080201 / 3,701 |
| 106. | $42,656 | NY039080402 / 2,190 |
| 107. | $42,545 | NY105951000 / 2,065 |
| 108. | $42,500 | NY077590201 / 2,424 |
| 109. | $42,341 | NY111952400 / 2,708 |
| 110. | $42,097 | NY025970400 / 5,864 |
| 111. | $42,083 | NY039080502 / 4,340 |
| 112. | $41,833 | PA115032200 / 4,461 |
| 113. | $41,804 | NY025971300 / 2,310 |
| 114. | $41,484 | NY077590300 / 4,088 |
| 115. | $40,752 | NY017970900 / 5,348 |
| 116. | $40,625 | NY105951500 / 2,403 |
| 117. | $40,381 | NY095740200 / 5,029 |
| 118. | $40,242 | NY105950800 / 4,297 |
| 119. | $40,163 | NY007012400 / 2,475 |
| 120. | $39,417 | NY025970600 / 5,603 |
| 120. | $39,417 | NY105951600 / 2,774 |
| 122. | $38,974 | NY111954800 / 4,791 |
| 123. | $38,773 | NY077590900 / 2,726 |
| 124. | $38,491 | NY025970700 / 2,173 |
| 125. | $38,445 | NY039081101 / 3,717 |
| 126. | $38,370 | NY025971000 / 2,855 |
| 127. | $37,775 | NY025970500 / 4,562 |
| 128. | $37,195 | PA115032300 / 3,737 |
| 129. | $36,935 | NY111951800 / 1,618 |
| 130. | $36,743 | NY025971400 / 3,282 |
| 131. | $36,563 | NY111952100 / 3,830 |
| 132. | $36,500 | NY077591000 / 3,170 |
| 133. | $36,140 | PA127960100 / 1,297 |
| 134. | $35,286 | NY039080401 / 2,753 |
| 135. | $35,231 | NY105950500 / 3,469 |
| 136. | $34,050 | NY105950700 / 5,043 |
| 137. | $33,618 | PA115032902 / 1,747 |
| 138. | $32,644 | PA127960700 / 4,580 |
| 139. | $31,982 | NY017970300 / 3,849 |
| 140. | $29,857 | NY017970400 / 3,454 |
| 141. | $26,577 | NY105951800 / 6,635 |
| 142. | $19,763 | NY077591100 / 3,221 |
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.