Local Data Search
A total of 43 results found. Show Results on Map.
| Rank | Median Household Income ▲ | City / Population |
| 1. | $26,750 | Woodston, KS / 190 |
| 2. | $27,000 | Clayton, KS / 109 |
| 3. | $28,239 | Norton, KS / 2,909 |
| 4. | $29,583 | Norcatur, KS / 163 |
| 5. | $29,688 | Stockton, KS / 1,479 |
| 6. | $31,607 | Damar, KS / 296 |
| 7. | $31,806 | Natoma, KS / 365 |
| 8. | $32,422 | Almena, KS / 490 |
| 9. | $32,625 | Oberlin, KS / 1,775 |
| 10. | $34,479 | Dresden, KS / 49 |
| 11. | $34,500 | Grinnell, KS / 231 |
| 12. | $34,659 | Agra, KS / 325 |
| 13. | $36,069 | Wakeeney, KS / 1,895 |
| 14. | $36,250 | Glade, KS / 122 |
| 14. | $36,250 | Collyer, KS / 82 |
| 14. | $36,250 | Lenora, KS / 220 |
| 17. | $37,474 | Plainville, KS / 1,546 |
| 18. | $38,203 | Kirwin, KS / 142 |
| 19. | $38,750 | Zurich, KS / 87 |
| 20. | $39,886 | Logan, KS / 561 |
| 21. | $40,000 | Prairie View, KS / 120 |
| 22. | $40,147 | Hill City, KS / 1,603 |
| 23. | $40,682 | Ellis, KS / 1,914 |
| 24. | $40,938 | Grainfield, KS / 341 |
| 25. | $41,250 | Hoxie, KS / 1,278 |
| 25. | $41,250 | Brownell, KS / 56 |
| 27. | $41,667 | Gove City, KS / 74 |
| 28. | $41,719 | Jennings, KS / 176 |
| 29. | $41,912 | Quinter, KS / 856 |
| 30. | $42,358 | Phillipsburg, KS / 2,567 |
| 31. | $42,969 | Speed, KS / 54 |
| 32. | $44,227 | Hays, KS / 20,259 |
| 33. | $44,250 | Palco, KS / 238 |
| 34. | $46,000 | Menlo, KS / 23 |
| 35. | $46,136 | Morland, KS / 126 |
| 36. | $46,667 | Rexford, KS / 330 |
| 37. | $47,500 | Ransom, KS / 299 |
| 38. | $48,393 | Munjor, KS / 299 |
| 39. | $49,063 | Bogue, KS / 101 |
| 40. | $49,167 | Park, KS / 129 |
| 41. | $50,625 | Edmond, KS / 56 |
| 42. | $50,938 | Selden, KS / 244 |
| 43. | $57,500 | Long Island, KS / 107 |
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.