Local Data Search
A total of 95 results found. Show Results on Map.
| Rank | House Median Value ▲ | City / Population |
| 1. | $14,700 | Burgess, MO / 77 |
| 2. | $16,500 | Piqua, KS / 72 |
| 3. | $17,900 | Virgil, KS / 52 |
| 4. | $18,800 | Labette, KS / 54 |
| 5. | $19,600 | Hepler, KS / 203 |
| 5. | $19,600 | Climax, KS / 121 |
| 7. | $20,000 | New Albany, KS / 9 |
| 8. | $21,300 | Earlton, KS / 75 |
| 9. | $21,500 | Stotesbury, MO / 20 |
| 10. | $22,500 | Westphalia, KS / 107 |
| 11. | $23,000 | Walnut, KS / 240 |
| 12. | $23,600 | Neosho Falls, KS / 174 |
| 13. | $24,800 | Toronto, KS / 378 |
| 14. | $27,500 | Mildred, KS / 24 |
| 15. | $30,400 | Buffalo, KS / 286 |
| 16. | $30,600 | Arcadia, KS / 300 |
| 17. | $30,700 | Bronson, KS / 287 |
| 18. | $30,900 | Altoona, KS / 388 |
| 19. | $31,100 | Hamilton, KS / 392 |
| 19. | $31,100 | Savonburg, KS / 110 |
| 21. | $31,400 | Kincaid, KS / 119 |
| 22. | $31,900 | Mapleton, KS / 161 |
| 23. | $32,800 | Mulberry, KS / 600 |
| 24. | $33,800 | Benedict, KS / 89 |
| 25. | $34,400 | La Harpe, KS / 560 |
| 26. | $35,000 | Severy, KS / 292 |
| 26. | $35,000 | Quenemo, KS / 522 |
| 26. | $35,000 | Elsmore, KS / 63 |
| 29. | $35,500 | Fall River, KS / 211 |
| 30. | $39,400 | Harris, KS / 78 |
| 31. | $39,600 | Eureka, KS / 2,669 |
| 32. | $41,300 | Redfield, KS / 85 |
| 33. | $41,800 | Mccune, KS / 382 |
| 34. | $44,000 | Hartford, KS / 377 |
| 35. | $44,100 | Cherryvale, KS / 2,648 |
| 36. | $44,300 | Moran, KS / 397 |
| 37. | $44,700 | Gas, KS / 566 |
| 38. | $45,600 | Yates Center, KS / 1,416 |
| 39. | $46,000 | Prescott, KS / 296 |
| 40. | $46,600 | Neosho Rapids, KS / 254 |
| 41. | $46,800 | Leroy, KS / 670 |
| 42. | $47,000 | Fulton, KS / 181 |
| 43. | $47,700 | Mound Valley, KS / 446 |
| 44. | $48,800 | Uniontown, KS / 448 |
| 45. | $49,900 | Neodesha, KS / 2,333 |
| 46. | $50,500 | Thayer, KS / 391 |
| 47. | $50,600 | Welda, KS / 86 |
| 48. | $54,600 | Madison, KS / 833 |
| 49. | $54,800 | Saint Paul, KS / 699 |
| 50. | $55,000 | Deerfield, MO / 56 |
| 50. | $55,000 | Parsons, KS / 10,661 |
| 52. | $55,500 | Galesburg, KS / 110 |
| 53. | $55,800 | Iola, KS / 5,790 |
| 54. | $56,000 | Williamsburg, KS / 310 |
| 55. | $57,500 | Stark, KS / 53 |
| 56. | $57,600 | Greeley, KS / 243 |
| 57. | $57,800 | Humboldt, KS / 1,928 |
| 58. | $58,500 | Fredonia, KS / 2,623 |
| 59. | $59,300 | Richards, MO / 71 |
| 60. | $60,000 | Colony, KS / 409 |
| 61. | $60,900 | Gridley, KS / 378 |
| 62. | $61,600 | Melvern, KS / 481 |
| 63. | $62,000 | Olivet, KS / 49 |
| 64. | $62,200 | Coyville, KS / 37 |
| 65. | $62,900 | Chanute, KS / 9,141 |
| 66. | $63,000 | Hume, MO / 375 |
| 67. | $63,600 | Richmond, KS / 513 |
| 68. | $65,700 | Waverly, KS / 705 |
| 68. | $65,700 | Rantoul, KS / 177 |
| 70. | $66,400 | Blue Mound, KS / 286 |
| 71. | $66,500 | Erie, KS / 1,208 |
| 72. | $67,400 | Fort Scott, KS / 8,125 |
| 73. | $67,700 | Franklin, KS / 327 |
| 74. | $68,800 | Princeton, KS / 245 |
| 75. | $70,500 | Independence, KS / 9,505 |
| 76. | $71,000 | Lane, KS / 267 |
| 77. | $72,200 | Girard, KS / 2,786 |
| 78. | $73,800 | Arma, KS / 1,469 |
| 79. | $74,800 | Pleasanton, KS / 1,159 |
| 80. | $75,800 | Linn Valley, KS / 689 |
| 81. | $79,200 | Parker, KS / 337 |
| 82. | $82,200 | Garnett, KS / 3,409 |
| 83. | $84,000 | Osawatomie, KS / 4,509 |
| 84. | $85,700 | Lebo, KS / 1,088 |
| 85. | $85,800 | Pomona, KS / 852 |
| 86. | $89,800 | Frontenac, KS / 3,366 |
| 87. | $90,500 | Mound City, KS / 923 |
| 88. | $93,000 | La Cygne, KS / 1,503 |
| 89. | $95,800 | Olpe, KS / 571 |
| 90. | $96,800 | Burlington, KS / 2,678 |
| 91. | $109,500 | Ottawa, KS / 12,552 |
| 92. | $111,500 | Fontana, KS / 169 |
| 93. | $112,900 | New Strawn, KS / 393 |
| 94. | $154,200 | Lone Elm, KS / 13 |
| 95. | $187,500 | Bassett, KS / 16 |
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.