Local Data Search
A total of 92 results found. Show Results on Map.
| Rank | Median Household Income ▼ | City / Population |
| 1. | $82,069 | Hobart, WI / 5,993 |
| 2. | $78,690 | Suamico, WI / 10,867 |
| 3. | $75,208 | Northport, WI / 516 |
| 4. | $72,100 | Combined Locks, WI / 3,185 |
| 5. | $70,909 | Dale, WI / 496 |
| 6. | $67,773 | Wrightstown, WI / 2,702 |
| 7. | $66,738 | Hortonville, WI / 2,649 |
| 8. | $63,125 | Dyckesville, WI / 506 |
| 9. | $61,734 | Allouez, WI / 14,246 |
| 10. | $61,240 | Howard, WI / 16,735 |
| 11. | $60,417 | Angelica, WI / 115 |
| 12. | $59,250 | Forest Junction, WI / 585 |
| 13. | $57,904 | Luxemburg, WI / 2,421 |
| 14. | $56,029 | Navarino, WI / 210 |
| 15. | $55,652 | Bellevue, WI / 14,053 |
| 16. | $55,417 | Legend Lake, WI / 1,799 |
| 17. | $54,438 | Sobieski, WI / 281 |
| 18. | $53,977 | Abrams, WI / 338 |
| 19. | $53,862 | Little Chute, WI / 10,493 |
| 20. | $53,411 | De Pere, WI / 23,225 |
| 21. | $53,329 | Seymour, WI / 3,445 |
| 22. | $53,034 | Kaukauna, WI / 15,075 |
| 23. | $52,477 | Ashwaubenon, WI / 17,108 |
| 24. | $52,250 | Greenleaf, WI / 535 |
| 25. | $51,275 | Appleton, WI / 72,620 |
| 26. | $51,094 | Thornton, WI / 71 |
| 27. | $50,125 | Bonduel, WI / 1,520 |
| 28. | $48,750 | Forestville, WI / 508 |
| 29. | $48,523 | Black Creek, WI / 1,413 |
| 30. | $46,875 | Pella, WI / 152 |
| 31. | $46,667 | Shiocton, WI / 755 |
| 32. | $46,429 | Mattoon, WI / 358 |
| 33. | $46,250 | Cecil, WI / 759 |
| 33. | $46,250 | Casco, WI / 579 |
| 35. | $46,053 | Birnamwood, WI / 794 |
| 36. | $45,897 | Menasha, WI / 17,033 |
| 37. | $45,851 | Peshtigo, WI / 3,455 |
| 38. | $45,000 | Krakow, WI / 356 |
| 39. | $44,955 | Pulaski, WI / 3,768 |
| 40. | $44,861 | Little Sturgeon, WI / 155 |
| 41. | $44,702 | Kimberly, WI / 6,432 |
| 42. | $44,209 | New London, WI / 7,150 |
| 43. | $43,750 | Bear Creek, WI / 454 |
| 44. | $43,646 | Weyauwega, WI / 1,975 |
| 45. | $43,566 | Denmark, WI / 2,049 |
| 46. | $42,917 | Caroline, WI / 203 |
| 47. | $42,833 | Mountain, WI / 224 |
| 48. | $42,135 | Green Bay, WI / 103,960 |
| 49. | $42,125 | Pulcifer, WI / 164 |
| 50. | $41,908 | Lena, WI / 469 |
| 51. | $41,727 | Algoma, WI / 3,216 |
| 52. | $41,250 | Embarrass, WI / 364 |
| 52. | $41,250 | Manawa, WI / 1,301 |
| 54. | $40,833 | Pound, WI / 393 |
| 55. | $40,682 | Tilleda, WI / 52 |
| 56. | $40,625 | Elderon, WI / 170 |
| 57. | $40,453 | Menominee, MI / 8,689 |
| 58. | $39,603 | Shawano, WI / 9,216 |
| 59. | $39,375 | Lakewood, WI / 312 |
| 60. | $38,393 | Goodman, WI / 216 |
| 61. | $37,500 | Coleman, WI / 721 |
| 62. | $37,292 | Aniwa, WI / 288 |
| 63. | $37,016 | Marinette, WI / 11,095 |
| 64. | $36,597 | Antigo, WI / 8,312 |
| 65. | $36,451 | Oconto, WI / 4,600 |
| 66. | $36,299 | Gillett, WI / 1,325 |
| 67. | $36,111 | Marion, WI / 1,362 |
| 68. | $35,903 | Wittenberg, WI / 1,178 |
| 69. | $35,875 | Gresham, WI / 574 |
| 70. | $35,789 | Iola, WI / 1,374 |
| 71. | $35,724 | Clintonville, WI / 4,618 |
| 72. | $33,696 | Suring, WI / 518 |
| 73. | $33,487 | Crivitz, WI / 834 |
| 74. | $31,563 | Bowler, WI / 253 |
| 74. | $31,563 | Nichols, WI / 131 |
| 76. | $31,544 | Laona, WI / 599 |
| 77. | $29,583 | Wabeno, WI / 560 |
| 78. | $28,963 | Oconto Falls, WI / 2,907 |
| 79. | $28,750 | Ogdensburg, WI / 233 |
| 80. | $26,250 | Zoar, WI / 293 |
| 80. | $26,250 | White Lake, WI / 327 |
| 82. | $25,658 | Tigerton, WI / 615 |
| 83. | $25,133 | Neopit, WI / 605 |
| 84. | $24,583 | Townsend, WI / 89 |
| 85. | $24,250 | Eland, WI / 215 |
| 86. | $23,625 | Green Valley, WI / 152 |
| 87. | $20,926 | Big Falls, WI / 120 |
| 88. | $20,682 | Amberg, WI / 232 |
| 89. | $20,417 | Leopolis, WI / 47 |
| 89. | $20,417 | Middle Village, WI / 206 |
| 91. | $16,544 | Keshena, WI / 1,069 |
| 92. | $12,734 | Wausaukee, WI / 624 |
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.