Local Data Search
A total of 43 results found. Show Results on Map.
| Rank | Median Household Income ▼ | City / Population |
| 1. | $57,917 | Pickstown, SD / 86 |
| 2. | $51,875 | Mount Vernon, SD / 415 |
| 3. | $49,063 | Kimball, SD / 686 |
| 4. | $48,333 | New Holland, SD / 114 |
| 5. | $46,136 | Chamberlain, SD / 2,342 |
| 6. | $45,625 | Dante, SD / 82 |
| 7. | $45,313 | Corsica, SD / 591 |
| 8. | $43,839 | Plankinton, SD / 680 |
| 9. | $43,194 | Platte, SD / 1,292 |
| 10. | $42,188 | Oacoma, SD / 520 |
| 11. | $40,750 | Bristow, NE / 77 |
| 12. | $40,417 | Ethan, SD / 282 |
| 13. | $39,940 | Parkston, SD / 1,305 |
| 14. | $39,345 | Mitchell, SD / 15,166 |
| 15. | $36,848 | Armour, SD / 635 |
| 16. | $36,250 | Delmont, SD / 238 |
| 17. | $36,181 | Burke, SD / 732 |
| 18. | $35,417 | Bonesteel, SD / 201 |
| 19. | $34,750 | Avon, SD / 716 |
| 20. | $34,688 | Dimock, SD / 112 |
| 21. | $33,864 | Spencer, NE / 380 |
| 22. | $33,500 | Stickney, SD / 186 |
| 23. | $32,250 | Letcher, SD / 172 |
| 24. | $32,083 | White Lake, SD / 441 |
| 25. | $31,555 | Gregory, SD / 1,376 |
| 26. | $31,250 | Pukwana, SD / 212 |
| 27. | $30,893 | Naper, NE / 117 |
| 28. | $30,724 | Fairfax, SD / 151 |
| 29. | $30,625 | Dallas, SD / 126 |
| 30. | $30,500 | Geddes, SD / 264 |
| 31. | $30,078 | Tripp, SD / 601 |
| 32. | $30,000 | Harrison, SD / 40 |
| 33. | $28,578 | Wagner, SD / 1,705 |
| 34. | $27,063 | Butte, NE / 362 |
| 35. | $26,731 | Lynch, NE / 174 |
| 36. | $23,618 | Lake Andes, SD / 934 |
| 37. | $23,214 | Marty, SD / 242 |
| 38. | $22,969 | Herrick, SD / 79 |
| 39. | $21,875 | Verdel, NE / 78 |
| 40. | $21,786 | Storla, SD / 13 |
| 41. | $16,736 | Loomis, SD / 42 |
| 42. | $14,375 | Ravinia, SD / 58 |
| 43. | $9,135 | Saint Charles, SD / 22 |
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.