Local Data Search
A total of 39 results found. Show Results on Map.
| Rank | Median Household Income ▼ | City / Population |
| 1. | $101,324 | Edison, WA / 116 |
| 2. | $100,268 | Acme, WA / 363 |
| 3. | $86,000 | Geneva, WA / 2,442 |
| 4. | $78,162 | Big Lake, WA / 1,753 |
| 5. | $71,154 | Lake Ketchum, WA / 619 |
| 6. | $70,458 | Sudden Valley, WA / 6,713 |
| 7. | $68,221 | Bay View, WA / 681 |
| 8. | $67,009 | Alger, WA / 248 |
| 9. | $65,313 | Lake Cavanaugh, WA / 143 |
| 10. | $65,208 | Lake Mcmurray, WA / 126 |
| 11. | $59,000 | Marblemount, WA / 239 |
| 12. | $58,929 | Clear Lake CDP, WA / 1,013 |
| 13. | $57,444 | Anacortes, WA / 15,668 |
| 14. | $56,210 | Ferndale, WA / 10,993 |
| 15. | $55,388 | Point Roberts, WA / 1,285 |
| 16. | $54,201 | Blaine, WA / 4,550 |
| 17. | $53,594 | Nooksack, WA / 1,090 |
| 18. | $51,780 | Lynden, WA / 11,580 |
| 19. | $51,733 | Sedro Woolley, WA / 10,320 |
| 20. | $51,375 | Rockport, WA / 77 |
| 21. | $49,904 | Everson, WA / 2,565 |
| 22. | $49,579 | Birch Bay, WA / 7,881 |
| 23. | $47,266 | Burlington, WA / 8,171 |
| 24. | $45,986 | Mount Vernon, WA / 31,044 |
| 25. | $45,313 | Hamilton, WA / 465 |
| 26. | $42,734 | Conway, WA / 74 |
| 27. | $42,411 | Sumas, WA / 1,000 |
| 28. | $41,126 | Marietta-Alderwood, WA / 4,132 |
| 29. | $39,712 | Whidbey Island Station, WA / 3,071 |
| 30. | $38,136 | Bellingham, WA / 78,989 |
| 31. | $37,184 | Friday Harbor, WA / 2,367 |
| 32. | $36,279 | Custer, WA / 532 |
| 33. | $35,682 | La Conner, WA / 852 |
| 34. | $32,404 | Concrete, WA / 977 |
| 35. | $32,188 | Deming, WA / 286 |
| 36. | $30,917 | Lyman, WA / 528 |
| 37. | $29,542 | Maple Falls, WA / 501 |
| 38. | $29,397 | Kendall, WA / 422 |
| 39. | $28,883 | Peaceful Valley, WA / 3,220 |
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.