Local Data Search
A total of 42 results found. Show Results on Map.
| Rank | Median Household Income ▲ | City / Population |
| 1. | $12,734 | Wausaukee, WI / 624 |
| 2. | $20,682 | Amberg, WI / 232 |
| 3. | $22,045 | Florence, WI / 752 |
| 4. | $24,583 | Townsend, WI / 89 |
| 5. | $24,904 | Powers, MI / 327 |
| 6. | $25,066 | Caspian, MI / 720 |
| 7. | $25,104 | Eagle River, WI / 1,542 |
| 8. | $25,417 | Alpha, MI / 129 |
| 9. | $25,781 | Mole Lake, WI / 319 |
| 10. | $26,136 | Gaastra, MI / 265 |
| 11. | $26,250 | Elcho, WI / 269 |
| 11. | $26,250 | White Lake, WI / 327 |
| 11. | $26,250 | Pembine, WI / 215 |
| 14. | $26,306 | Iron River, MI / 3,094 |
| 15. | $28,611 | Dunbar, WI / 73 |
| 16. | $29,583 | Wabeno, WI / 560 |
| 17. | $29,688 | Amasa, MI / 336 |
| 18. | $29,754 | Niagara, WI / 1,587 |
| 19. | $30,625 | Daggett, MI / 312 |
| 20. | $30,833 | Long Lake, WI / 51 |
| 21. | $31,250 | Newald, WI / 116 |
| 22. | $31,544 | Laona, WI / 599 |
| 23. | $32,454 | Three Lakes, WI / 613 |
| 24. | $33,026 | Crandon, WI / 1,984 |
| 25. | $33,487 | Crivitz, WI / 834 |
| 26. | $33,571 | Stephenson, MI / 883 |
| 27. | $33,667 | Carney, MI / 169 |
| 28. | $33,696 | Suring, WI / 518 |
| 29. | $33,973 | Kingsford, MI / 5,238 |
| 30. | $35,134 | Crystal Falls, MI / 1,481 |
| 31. | $36,006 | Norway, MI / 2,896 |
| 32. | $37,083 | Post Lake, WI / 388 |
| 33. | $37,500 | Coleman, WI / 721 |
| 34. | $38,393 | Goodman, WI / 216 |
| 35. | $39,375 | Lakewood, WI / 312 |
| 36. | $39,500 | Summit Lake, WI / 187 |
| 37. | $40,833 | Pound, WI / 393 |
| 38. | $41,204 | Iron Mountain, MI / 7,787 |
| 39. | $41,908 | Lena, WI / 469 |
| 40. | $42,833 | Mountain, WI / 224 |
| 41. | $43,657 | Quinnesec, MI / 1,009 |
| 42. | $48,750 | Argonne, WI / 191 |
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.