Local Data Search
A total of 97 results found. Show Results on Map.
| Rank | Total Population ▼ | Census Tract / Population |
| 1. | 7,971 | NY075021401 / 7,971 |
| 2. | 7,503 | NY049950300 / 7,503 |
| 3. | 7,402 | NY045060200 / 7,402 |
| 4. | 7,369 | NY045060803 / 7,369 |
| 5. | 7,150 | NY045061800 / 7,150 |
| 6. | 7,140 | NY089492700 / 7,140 |
| 7. | 6,896 | NY075021502 / 6,896 |
| 8. | 6,842 | NY075021200 / 6,842 |
| 9. | 6,776 | NY045060600 / 6,776 |
| 10. | 6,572 | NY067011401 / 6,572 |
| 11. | 6,366 | NY045060900 / 6,366 |
| 12. | 6,331 | NY067011242 / 6,331 |
| 13. | 6,323 | NY045060400 / 6,323 |
| 14. | 6,267 | NY045061100 / 6,267 |
| 15. | 5,979 | NY075021000 / 5,979 |
| 16. | 5,919 | NY075020902 / 5,919 |
| 17. | 5,840 | NY067011101 / 5,840 |
| 18. | 5,818 | NY075020500 / 5,818 |
| 19. | 5,528 | NY067010200 / 5,528 |
| 20. | 5,491 | NY065026700 / 5,491 |
| 21. | 5,380 | NY011040100 / 5,380 |
| 22. | 5,374 | NY067010301 / 5,374 |
| 23. | 5,311 | NY067011500 / 5,311 |
| 24. | 5,258 | NY045060500 / 5,258 |
| 25. | 5,186 | NY075020400 / 5,186 |
| 26. | 5,064 | NY075020703 / 5,064 |
| 27. | 5,060 | NY067011231 / 5,060 |
| 28. | 5,022 | NY049950700 / 5,022 |
| 29. | 5,002 | NY075020600 / 5,002 |
| 30. | 4,996 | NY067011600 / 4,996 |
| 31. | 4,987 | NY045060804 / 4,987 |
| 32. | 4,977 | NY045062100 / 4,977 |
| 33. | 4,938 | NY065024500 / 4,938 |
| 34. | 4,915 | NY049950200 / 4,915 |
| 35. | 4,872 | NY075021300 / 4,872 |
| 36. | 4,791 | NY067010800 / 4,791 |
| 37. | 4,668 | NY045062200 / 4,668 |
| 38. | 4,609 | NY067011202 / 4,609 |
| 39. | 4,500 | NY117021502 / 4,500 |
| 40. | 4,371 | NY067011402 / 4,371 |
| 41. | 4,279 | NY075020701 / 4,279 |
| 42. | 4,270 | NY045060700 / 4,270 |
| 43. | 4,259 | NY075020702 / 4,259 |
| 44. | 4,198 | NY045062400 / 4,198 |
| 45. | 4,171 | NY075021603 / 4,171 |
| 46. | 4,158 | NY045060100 / 4,158 |
| 47. | 4,138 | NY065024400 / 4,138 |
| 48. | 4,036 | NY045061600 / 4,036 |
| 49. | 3,998 | NY045060300 / 3,998 |
| 50. | 3,991 | NY067011012 / 3,991 |
| 51. | 3,970 | NY067010322 / 3,970 |
| 52. | 3,965 | NY075021604 / 3,965 |
| 53. | 3,937 | NY045061000 / 3,937 |
| 54. | 3,920 | NY075020200 / 3,920 |
| 55. | 3,866 | NY067011102 / 3,866 |
| 56. | 3,835 | NY067010400 / 3,835 |
| 57. | 3,834 | NY075021101 / 3,834 |
| 58. | 3,767 | NY045061500 / 3,767 |
| 59. | 3,738 | NY067011232 / 3,738 |
| 60. | 3,696 | NY075021605 / 3,696 |
| 61. | 3,672 | NY045061400 / 3,672 |
| 62. | 3,670 | NY075020800 / 3,670 |
| 63. | 3,648 | NY075020100 / 3,648 |
| 64. | 3,641 | NY045061200 / 3,641 |
| 65. | 3,598 | NY067011201 / 3,598 |
| 66. | 3,496 | NY045061900 / 3,496 |
| 67. | 3,452 | NY065024302 / 3,452 |
| 68. | 3,341 | NY045062500 / 3,341 |
| 69. | 3,290 | NY075020302 / 3,290 |
| 70. | 3,207 | NY067011022 / 3,207 |
| 71. | 3,181 | NY075021602 / 3,181 |
| 72. | 3,108 | NY075021601 / 3,108 |
| 73. | 3,083 | NY067011011 / 3,083 |
| 74. | 3,079 | NY075021103 / 3,079 |
| 75. | 2,951 | NY067011021 / 2,951 |
| 76. | 2,911 | NY067011700 / 2,911 |
| 77. | 2,870 | NY075021501 / 2,870 |
| 78. | 2,843 | NY067010321 / 2,843 |
| 79. | 2,759 | NY067010100 / 2,759 |
| 80. | 2,739 | NY075021104 / 2,739 |
| 81. | 2,624 | NY049950100 / 2,624 |
| 82. | 2,578 | NY065024303 / 2,578 |
| 82. | 2,578 | NY075020901 / 2,578 |
| 84. | 2,538 | NY067011300 / 2,538 |
| 85. | 2,532 | NY045061300 / 2,532 |
| 86. | 2,494 | NY067010500 / 2,494 |
| 87. | 2,480 | NY045061700 / 2,480 |
| 88. | 2,441 | NY075020301 / 2,441 |
| 89. | 2,339 | NY067010900 / 2,339 |
| 90. | 2,311 | NY049950500 / 2,311 |
| 91. | 2,299 | NY089492900 / 2,299 |
| 92. | 2,250 | NY075021102 / 2,250 |
| 93. | 2,237 | NY067010600 / 2,237 |
| 94. | 2,152 | NY067011241 / 2,152 |
| 95. | 1,872 | NY049950600 / 1,872 |
| 96. | 1,828 | NY067010700 / 1,828 |
| 97. | 1,693 | NY075021402 / 1,693 |
Please note that we only rank locations with 'Total Population' data. The rank above might not be a complete list. Locations without 'Total Population' 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.