Local Data Search
A total of 43 results found. Show Results on Map.
| Rank | Median Household Income ▼ | City / Population |
| 1. | $73,958 | Warner, SD / 355 |
| 2. | $71,000 | Ludden, ND / 39 |
| 3. | $62,639 | Dickey, ND / 44 |
| 4. | $58,438 | Englevale, ND / 66 |
| 5. | $56,196 | Groton, SD / 1,555 |
| 6. | $53,375 | Marion, ND / 169 |
| 7. | $48,750 | Elliott, ND / 16 |
| 8. | $45,833 | Westport, SD / 76 |
| 9. | $45,714 | Gwinner, ND / 665 |
| 10. | $45,625 | Bath Corner, SD / 68 |
| 11. | $44,583 | Fullerton, ND / 68 |
| 12. | $43,906 | Forman, ND / 523 |
| 13. | $42,917 | Havana, ND / 85 |
| 13. | $42,917 | Litchville, ND / 195 |
| 15. | $41,718 | Aberdeen, SD / 25,713 |
| 16. | $40,625 | Fort Ransom, ND / 67 |
| 17. | $40,417 | Britton, SD / 1,473 |
| 18. | $40,208 | Lamoure, ND / 880 |
| 19. | $39,688 | Jud, ND / 72 |
| 20. | $39,500 | Ipswich, SD / 774 |
| 21. | $38,077 | Pierpont, SD / 120 |
| 22. | $37,679 | Cogswell, ND / 204 |
| 23. | $37,500 | Fredonia, ND / 14 |
| 24. | $36,964 | Edgeley, ND / 534 |
| 25. | $36,953 | Montpelier, ND / 125 |
| 26. | $36,583 | Oakes, ND / 2,018 |
| 27. | $35,625 | Claremont, SD / 106 |
| 27. | $35,625 | Verona, ND / 57 |
| 27. | $35,625 | Kidder, SD / 36 |
| 30. | $32,083 | Berlin, ND / 34 |
| 31. | $31,000 | Frederick, SD / 286 |
| 32. | $30,536 | Hecla, SD / 219 |
| 33. | $30,000 | Lehr, ND / 107 |
| 34. | $28,750 | Kulm, ND / 287 |
| 35. | $28,636 | Bath, SD / 217 |
| 36. | $28,000 | Long Lake, SD / 48 |
| 37. | $27,917 | Ellendale, ND / 1,270 |
| 38. | $27,545 | Ashley, ND / 744 |
| 39. | $27,344 | Forbes, ND / 60 |
| 40. | $26,691 | Leola, SD / 397 |
| 41. | $25,000 | Columbia, SD / 90 |
| 42. | $24,615 | Langford, SD / 506 |
| 43. | $19,038 | Monango, ND / 29 |
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.