Local Data Search
A total of 142 results found. Show Results on Map.
| Rank | Median Household Income ▼ | Census Tract / Population |
| 1. | $92,202 | NY091061404 / 3,369 |
| 2. | $88,780 | NY091060702 / 8,547 |
| 3. | $88,711 | NY113070900 / 4,691 |
| 4. | $78,688 | NY065023501 / 2,289 |
| 5. | $77,197 | NY091061600 / 4,118 |
| 6. | $75,833 | NY093032504 / 2,383 |
| 7. | $73,000 | NY091061403 / 5,771 |
| 8. | $72,404 | NY091061500 / 3,572 |
| 9. | $72,296 | NY065023502 / 4,466 |
| 10. | $71,734 | NY113070702 / 4,862 |
| 11. | $71,080 | NY065024301 / 3,062 |
| 12. | $71,036 | NY065025400 / 6,013 |
| 13. | $68,897 | NY065024000 / 4,507 |
| 14. | $67,740 | NY065023901 / 2,401 |
| 15. | $66,155 | NY065025300 / 6,743 |
| 16. | $65,772 | NY091061302 / 7,193 |
| 17. | $64,773 | NY057070500 / 3,154 |
| 18. | $64,395 | NY065022701 / 2,019 |
| 19. | $64,107 | NY065026200 / 5,462 |
| 20. | $62,454 | NY091060701 / 7,034 |
| 21. | $61,923 | NY091060602 / 4,909 |
| 22. | $59,648 | NY065021701 / 3,488 |
| 23. | $59,250 | NY065024303 / 2,578 |
| 24. | $59,073 | NY065026100 / 2,683 |
| 25. | $57,866 | NY091060101 / 5,976 |
| 26. | $57,484 | NY065023702 / 3,821 |
| 27. | $56,696 | NY113071000 / 3,349 |
| 28. | $55,982 | NY043011301 / 1,762 |
| 29. | $55,870 | NY065023902 / 1,799 |
| 30. | $55,473 | NY041950100 / 1,226 |
| 31. | $55,185 | NY057072100 / 5,588 |
| 32. | $54,950 | NY091060503 / 2,105 |
| 33. | $54,773 | NY057072700 / 4,139 |
| 34. | $54,602 | NY065021702 / 3,184 |
| 35. | $54,598 | NY065022200 / 2,704 |
| 36. | $54,542 | NY035971400 / 3,645 |
| 37. | $54,444 | NY033951200 / 2,107 |
| 38. | $54,128 | NY043010300 / 5,349 |
| 39. | $53,873 | NY057072800 / 4,068 |
| 40. | $53,452 | NY113072000 / 3,542 |
| 41. | $53,333 | NY091060300 / 3,965 |
| 42. | $53,317 | NY035970600 / 7,130 |
| 43. | $52,938 | NY065025100 / 1,923 |
| 44. | $52,547 | NY035971500 / 5,229 |
| 45. | $51,889 | NY043010100 / 6,371 |
| 46. | $51,410 | NY043010202 / 3,926 |
| 47. | $51,397 | NY065024102 / 2,862 |
| 48. | $51,353 | NY057070700 / 2,576 |
| 49. | $50,833 | NY035970400 / 1,979 |
| 50. | $50,560 | NY091060601 / 2,828 |
| 51. | $50,304 | NY057072200 / 3,834 |
| 52. | $50,156 | NY035970300 / 3,652 |
| 53. | $50,086 | NY113070800 / 6,769 |
| 54. | $49,754 | NY065022400 / 3,596 |
| 55. | $49,688 | NY043011501 / 3,093 |
| 56. | $49,375 | NY043011002 / 3,152 |
| 57. | $49,327 | NY043011400 / 4,860 |
| 58. | $49,231 | NY041950400 / 1,421 |
| 59. | $49,214 | NY065021303 / 2,681 |
| 60. | $49,200 | NY065022100 / 2,581 |
| 61. | $48,938 | NY057072600 / 3,732 |
| 62. | $48,703 | NY065021601 / 5,010 |
| 63. | $48,490 | NY065025001 / 2,561 |
| 64. | $48,438 | NY091060502 / 2,309 |
| 65. | $48,172 | NY043011302 / 3,395 |
| 66. | $47,835 | NY091060400 / 2,555 |
| 67. | $47,306 | NY091061401 / 4,759 |
| 68. | $46,932 | NY035971300 / 4,535 |
| 69. | $46,786 | NY043010502 / 1,798 |
| 70. | $46,667 | NY065021402 / 2,182 |
| 71. | $46,378 | NY065021602 / 2,244 |
| 72. | $46,250 | NY065024101 / 1,605 |
| 73. | $45,966 | NY035970200 / 2,843 |
| 74. | $45,943 | NY043010900 / 3,469 |
| 75. | $45,583 | NY031961400 / 1,281 |
| 76. | $45,465 | NY035970100 / 2,687 |
| 77. | $45,453 | NY065024200 / 4,561 |
| 78. | $44,853 | NY113073500 / 1,974 |
| 79. | $44,767 | NY043011502 / 1,952 |
| 80. | $44,673 | NY065025200 / 4,441 |
| 81. | $44,200 | NY035971000 / 2,537 |
| 82. | $44,153 | NY091060501 / 1,723 |
| 83. | $44,135 | NY041950300 / 1,327 |
| 84. | $44,063 | NY113075000 / 3,416 |
| 85. | $44,048 | NY041950500 / 934 |
| 86. | $43,490 | NY113070701 / 3,891 |
| 87. | $43,438 | NY049950100 / 2,624 |
| 88. | $43,217 | NY091061200 / 4,814 |
| 89. | $42,800 | NY065023200 / 4,347 |
| 90. | $42,644 | NY035971100 / 2,657 |
| 91. | $42,594 | NY031961300 / 2,408 |
| 92. | $42,554 | NY065020705 / 2,386 |
| 93. | $42,304 | NY091061800 / 5,869 |
| 94. | $41,780 | NY065023400 / 5,012 |
| 95. | $41,127 | NY035970500 / 4,001 |
| 96. | $41,106 | NY057070400 / 2,161 |
| 97. | $40,929 | NY057072300 / 3,195 |
| 98. | $40,804 | NY057072500 / 4,262 |
| 99. | $40,732 | NY049950400 / 2,770 |
| 100. | $40,625 | NY043010701 / 2,911 |
| 101. | $40,391 | NY113074000 / 2,008 |
| 102. | $39,821 | NY043011001 / 2,080 |
| 103. | $39,750 | NY065021900 / 1,776 |
| 104. | $38,840 | NY035971200 / 4,176 |
| 105. | $38,146 | NY113073000 / 4,160 |
| 106. | $38,021 | NY043010201 / 3,647 |
| 107. | $37,500 | NY065023300 / 2,683 |
| 108. | $36,220 | NY057070800 / 2,963 |
| 109. | $35,656 | NY043010501 / 2,769 |
| 110. | $35,583 | NY065020802 / 3,775 |
| 111. | $35,117 | NY091061000 / 3,800 |
| 112. | $34,692 | NY065021301 / 3,167 |
| 113. | $34,572 | NY049950600 / 1,872 |
| 114. | $34,338 | NY057072400 / 2,615 |
| 115. | $34,267 | NY065021103 / 1,549 |
| 116. | $33,188 | NY065021102 / 2,810 |
| 117. | $32,567 | NY043010702 / 2,064 |
| 118. | $32,171 | NY065021202 / 2,703 |
| 119. | $31,289 | NY043011200 / 5,796 |
| 120. | $31,250 | NY065022000 / 3,846 |
| 121. | $31,050 | NY035970900 / 3,993 |
| 122. | $30,652 | NY043010400 / 3,376 |
| 123. | $30,476 | NY057070900 / 1,480 |
| 124. | $29,013 | NY035970700 / 3,561 |
| 125. | $28,365 | NY057070200 / 2,107 |
| 126. | $27,863 | NY065022500 / 4,579 |
| 127. | $27,545 | NY065021401 / 2,440 |
| 128. | $26,063 | NY065020102 / 1,243 |
| 129. | $25,152 | NY065026300 / 3,662 |
| 130. | $23,713 | NY065020900 / 2,359 |
| 131. | $23,442 | NY057070600 / 1,919 |
| 132. | $22,401 | NY035970800 / 2,872 |
| 133. | $22,117 | NY057070300 / 2,152 |
| 134. | $21,863 | NY065020803 / 3,061 |
| 135. | $21,579 | NY065021302 / 3,447 |
| 136. | $21,250 | NY043011100 / 2,562 |
| 137. | $20,795 | NY065021201 / 1,376 |
| 138. | $18,950 | NY065026400 / 5,281 |
| 139. | $17,574 | NY065021000 / 1,473 |
| 140. | $16,433 | NY065021101 / 1,052 |
| 141. | $16,291 | NY065021500 / 2,301 |
| 142. | $13,542 | NY065020300 / 1,216 |
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.