Local Data Search
A total of 40 results found. Show Results on Map.
| Rank | Median Household Income ▼ | City / Population |
| 1. | $86,964 | Hampden, ME / 4,109 |
| 2. | $59,500 | Hallowell, ME / 2,479 |
| 3. | $56,893 | Winthrop, ME / 2,937 |
| 4. | $51,375 | Castine, ME / 1,124 |
| 5. | $50,099 | Ellsworth, ME / 7,555 |
| 6. | $49,688 | Winslow, ME / 7,823 |
| 7. | $45,139 | Searsport, ME / 1,030 |
| 8. | $44,844 | Farmingdale, ME / 2,082 |
| 9. | $44,556 | Brewer, ME / 9,433 |
| 10. | $44,000 | Anson, ME / 942 |
| 11. | $43,639 | Milford, ME / 2,214 |
| 12. | $43,513 | Bucksport, ME / 2,872 |
| 13. | $42,135 | Winterport, ME / 1,697 |
| 14. | $41,957 | Blue Hill, ME / 1,071 |
| 15. | $40,924 | Oakland, ME / 2,694 |
| 16. | $40,577 | Randolph, ME / 1,973 |
| 17. | $39,764 | Belfast, ME / 6,691 |
| 18. | $38,472 | Pittsfield, ME / 3,409 |
| 19. | $37,596 | Greenville, ME / 1,246 |
| 20. | $37,467 | Bangor, ME / 32,899 |
| 21. | $37,212 | Dover Foxcroft, ME / 2,603 |
| 22. | $35,144 | Fairfield, ME / 2,423 |
| 23. | $34,809 | Orono, ME / 8,942 |
| 24. | $34,229 | Old Town, ME / 7,886 |
| 25. | $33,711 | Camden, ME / 3,693 |
| 26. | $33,461 | Waterville, ME / 15,777 |
| 27. | $33,174 | Augusta, ME / 19,150 |
| 28. | $32,301 | Norridgewock, ME / 1,543 |
| 29. | $31,875 | Howland, ME / 917 |
| 30. | $31,750 | Hartland, ME / 1,062 |
| 31. | $30,750 | Clinton, ME / 1,107 |
| 32. | $30,156 | Dexter, ME / 1,821 |
| 33. | $29,592 | Rockland, ME / 7,431 |
| 34. | $28,428 | Skowhegan, ME / 6,794 |
| 35. | $25,799 | Newport, ME / 1,973 |
| 36. | $24,398 | Madison, ME / 2,867 |
| 37. | $23,021 | Bingham, ME / 810 |
| 38. | $22,344 | Guilford, ME / 936 |
| 39. | $21,726 | Milo, ME / 1,940 |
| 40. | $17,105 | Unity, ME / 561 |
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.