Local Data Search
A total of 95 results found. Show Results on Map.
| Rank | Median Household Income ▲ | City / Population |
| 1. | $12,250 | Kincaid, KS / 119 |
| 2. | $12,308 | Piqua, KS / 72 |
| 3. | $13,125 | Stotesbury, MO / 20 |
| 4. | $14,821 | Bronson, KS / 287 |
| 5. | $18,438 | Mildred, KS / 24 |
| 6. | $19,333 | Arcadia, KS / 300 |
| 7. | $20,804 | Neosho Falls, KS / 174 |
| 8. | $21,250 | Redfield, KS / 85 |
| 9. | $21,583 | Toronto, KS / 378 |
| 10. | $21,667 | Westphalia, KS / 107 |
| 11. | $23,214 | Richards, MO / 71 |
| 12. | $23,750 | Burgess, MO / 77 |
| 13. | $23,882 | Pleasanton, KS / 1,159 |
| 14. | $24,833 | Prescott, KS / 296 |
| 15. | $26,042 | Climax, KS / 121 |
| 16. | $26,103 | Walnut, KS / 240 |
| 17. | $26,731 | Mulberry, KS / 600 |
| 18. | $26,875 | Fulton, KS / 181 |
| 19. | $27,500 | Deerfield, MO / 56 |
| 20. | $27,841 | Quenemo, KS / 522 |
| 21. | $28,611 | Yates Center, KS / 1,416 |
| 22. | $28,750 | Hepler, KS / 203 |
| 23. | $28,875 | La Harpe, KS / 560 |
| 24. | $28,929 | Amoret, MO / 234 |
| 25. | $29,066 | Fredonia, KS / 2,623 |
| 26. | $29,107 | Labette, KS / 54 |
| 27. | $29,464 | Franklin, KS / 327 |
| 28. | $30,125 | Virgil, KS / 52 |
| 29. | $30,653 | Cherryvale, KS / 2,648 |
| 30. | $30,774 | Welda, KS / 86 |
| 31. | $31,071 | Waverly, KS / 705 |
| 32. | $31,250 | Savonburg, KS / 110 |
| 32. | $31,250 | Hamilton, KS / 392 |
| 34. | $31,705 | Williamsburg, KS / 310 |
| 35. | $31,750 | Severy, KS / 292 |
| 36. | $32,275 | Eureka, KS / 2,669 |
| 37. | $32,438 | Uniontown, KS / 448 |
| 38. | $32,850 | Chanute, KS / 9,141 |
| 39. | $33,098 | Mound Valley, KS / 446 |
| 40. | $33,542 | Bassett, KS / 16 |
| 41. | $33,609 | Osawatomie, KS / 4,509 |
| 42. | $33,765 | Fort Scott, KS / 8,125 |
| 43. | $34,257 | Madison, KS / 833 |
| 44. | $34,583 | Fall River, KS / 211 |
| 45. | $34,659 | Gridley, KS / 378 |
| 46. | $34,729 | Garnett, KS / 3,409 |
| 47. | $34,821 | Earlton, KS / 75 |
| 48. | $35,125 | Saint Paul, KS / 699 |
| 49. | $35,357 | Buffalo, KS / 286 |
| 50. | $35,536 | Blue Mound, KS / 286 |
| 51. | $35,625 | Mccune, KS / 382 |
| 52. | $36,016 | Neodesha, KS / 2,333 |
| 53. | $36,447 | Hartford, KS / 377 |
| 54. | $36,667 | Thayer, KS / 391 |
| 55. | $36,786 | La Cygne, KS / 1,503 |
| 56. | $36,811 | Iola, KS / 5,790 |
| 57. | $36,852 | Arma, KS / 1,469 |
| 58. | $37,040 | Parsons, KS / 10,661 |
| 59. | $37,273 | Rantoul, KS / 177 |
| 60. | $37,381 | Girard, KS / 2,786 |
| 61. | $37,500 | Olivet, KS / 49 |
| 61. | $37,500 | Elsmore, KS / 63 |
| 63. | $38,077 | Altoona, KS / 388 |
| 64. | $38,393 | Galesburg, KS / 110 |
| 65. | $38,750 | Stark, KS / 53 |
| 66. | $38,796 | Erie, KS / 1,208 |
| 67. | $38,864 | Richmond, KS / 513 |
| 68. | $39,375 | Mapleton, KS / 161 |
| 69. | $39,688 | Harris, KS / 78 |
| 70. | $40,313 | Moran, KS / 397 |
| 71. | $40,625 | Olpe, KS / 571 |
| 72. | $40,758 | Mound City, KS / 923 |
| 73. | $40,833 | Leroy, KS / 670 |
| 74. | $40,938 | Humboldt, KS / 1,928 |
| 75. | $41,094 | Colony, KS / 409 |
| 76. | $42,500 | New Albany, KS / 9 |
| 77. | $42,619 | Lyndon, KS / 1,037 |
| 78. | $42,750 | Burlington, KS / 2,678 |
| 79. | $42,981 | Benedict, KS / 89 |
| 80. | $43,166 | Ottawa, KS / 12,552 |
| 81. | $43,625 | Hume, MO / 375 |
| 82. | $45,625 | Greeley, KS / 243 |
| 83. | $46,705 | Linn Valley, KS / 689 |
| 84. | $47,500 | Pomona, KS / 852 |
| 85. | $50,417 | Melvern, KS / 481 |
| 86. | $51,458 | Neosho Rapids, KS / 254 |
| 87. | $51,736 | Princeton, KS / 245 |
| 88. | $52,344 | Lebo, KS / 1,088 |
| 89. | $52,600 | Gas, KS / 566 |
| 90. | $54,375 | Fontana, KS / 169 |
| 91. | $56,250 | Lane, KS / 267 |
| 92. | $62,661 | Parker, KS / 337 |
| 93. | $79,583 | New Strawn, KS / 393 |
| 94. | $85,556 | Coyville, KS / 37 |
| 95. | $250,001 | Lone Elm, KS / 13 |
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.