Local Data Search
A total of 90 results found. Show Results on Map.
| Rank | House Median Value ▼ | Census Tract / Population |
| 1. | $506,300 | VT007000900 / 2,728 |
| 2. | $473,900 | VT007003900 / 6,031 |
| 3. | $460,500 | VT007003501 / 3,718 |
| 4. | $412,300 | VT015953600 / 4,273 |
| 5. | $388,800 | VT007003301 / 3,662 |
| 6. | $344,000 | VT007003400 / 7,122 |
| 7. | $313,000 | VT007002301 / 2,490 |
| 8. | $309,200 | VT007001000 / 2,139 |
| 9. | $306,900 | VT007000600 / 4,941 |
| 10. | $306,200 | VT007000800 / 2,660 |
| 11. | $298,400 | VT007003100 / 8,496 |
| 12. | $294,700 | VT007001100 / 2,528 |
| 13. | $282,100 | VT001960200 / 2,761 |
| 14. | $275,500 | VT007002701 / 5,372 |
| 15. | $267,900 | VT013020200 / 3,851 |
| 16. | $267,800 | VT007002702 / 4,904 |
| 17. | $265,900 | VT007000500 / 3,652 |
| 18. | $262,200 | VT007002602 / 3,900 |
| 19. | $261,000 | VT023954300 / 5,054 |
| 20. | $256,200 | VT007003502 / 4,986 |
| 21. | $255,200 | VT007002900 / 6,175 |
| 22. | $254,900 | VT007002101 / 2,880 |
| 23. | $253,000 | VT007003304 / 5,151 |
| 24. | $249,400 | VT007002800 / 5,010 |
| 25. | $249,100 | VT007000200 / 6,409 |
| 26. | $245,200 | NY031960598 / 6,127 |
| 27. | $243,500 | VT011010900 / 4,508 |
| 28. | $243,400 | VT001960400 / 5,095 |
| 29. | $241,800 | VT007002302 / 6,319 |
| 30. | $237,100 | VT007003000 / 4,087 |
| 31. | $234,900 | VT007002601 / 5,255 |
| 32. | $232,000 | VT007002102 / 7,312 |
| 33. | $231,700 | VT015953500 / 5,166 |
| 34. | $228,400 | VT007003503 / 2,021 |
| 35. | $226,800 | VT015953100 / 3,544 |
| 36. | $226,600 | VT007000400 / 2,867 |
| 37. | $226,500 | VT011011000 / 5,409 |
| 38. | $226,400 | VT023954400 / 2,996 |
| 39. | $224,500 | VT007000300 / 3,311 |
| 40. | $224,200 | VT007004002 / 4,749 |
| 41. | $223,000 | VT011010600 / 5,955 |
| 42. | $221,600 | VT007000100 / 4,669 |
| 43. | $220,000 | VT007003600 / 3,720 |
| 44. | $218,900 | VT001960100 / 3,874 |
| 45. | $217,600 | VT011010800 / 3,774 |
| 46. | $214,900 | VT007002500 / 3,702 |
| 47. | $206,300 | VT013020100 / 3,254 |
| 48. | $200,200 | NY031960900 / 3,739 |
| 49. | $200,000 | VT011010400 / 3,439 |
| 50. | $199,800 | VT007002400 / 3,431 |
| 51. | $196,700 | VT011010500 / 6,419 |
| 52. | $190,300 | VT007002200 / 8,258 |
| 53. | $186,600 | NY031960300 / 2,472 |
| 54. | $185,400 | VT001960300 / 2,621 |
| 55. | $182,600 | NY031960498 / 2,827 |
| 56. | $181,100 | NY019101000 / 4,211 |
| 57. | $177,200 | VT011010100 / 7,138 |
| 58. | $164,800 | VT011010700 / 3,270 |
| 59. | $156,900 | VT011010200 / 4,299 |
| 60. | $150,900 | NY019100700 / 3,924 |
| 61. | $149,400 | VT015953000 / 2,292 |
| 62. | $149,300 | VT015953200 / 3,386 |
| 63. | $148,000 | VT011010300 / 3,336 |
| 64. | $138,700 | NY031960200 / 2,480 |
| 65. | $137,500 | NY019101400 / 1,542 |
| 66. | $133,100 | NY033951000 / 2,340 |
| 67. | $131,200 | NY019102100 / 1,863 |
| 68. | $130,700 | NY019100600 / 5,550 |
| 69. | $128,700 | NY031960700 / 1,901 |
| 70. | $128,100 | NY031960100 / 2,410 |
| 71. | $128,000 | NY019100800 / 4,550 |
| 72. | $125,900 | NY019100200 / 4,296 |
| 73. | $124,600 | NY019101900 / 6,940 |
| 74. | $124,300 | NY033950800 / 2,890 |
| 75. | $123,100 | NY019100900 / 4,832 |
| 76. | $122,800 | NY019101300 / 3,083 |
| 77. | $122,300 | NY033950502 / 6,457 |
| 78. | $120,600 | NY019101700 / 5,208 |
| 79. | $118,900 | NY019100100 / 5,805 |
| 80. | $113,100 | NY019101800 / 5,566 |
| 81. | $99,700 | NY031960800 / 1,785 |
| 82. | $93,200 | NY019102200 / 3,039 |
| 83. | $91,100 | NY019100300 / 6,539 |
| 84. | $90,600 | NY019102000 / 3,141 |
| 85. | $85,500 | NY033950600 / 1,986 |
| 86. | $83,100 | NY019100400 / 7,517 |
| 87. | $78,700 | NY033950100 / 4,418 |
| 88. | $78,300 | NY033950400 / 4,681 |
| 89. | $75,300 | NY033950501 / 3,607 |
| 90. | $32,600 | NY019101600 / 1,507 |
Please note that we only rank locations with 'House Median Value' data. The rank above might not be a complete list. Locations without 'House Median Value' 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.