Local Data Search
A total of 42 results found. Show Results on Map.
| Rank | Percentage of Houses with a Value of $1 Million or More ▼ | County / Population |
| 1. | 1.8% | Jefferson, WV / 50,791 |
| 2. | 1.5% | Braxton, WV / 14,554 |
| 3. | 1.3% | Clay, WV / 10,061 |
| 4. | 1.1% | Webster, WV / 9,510 |
| 5. | 1.1% | Pocahontas, WV / 8,599 |
| 6. | 1.0% | Upshur, WV / 23,566 |
| 7. | 0.9% | Monongalia, WV / 87,864 |
| 8. | 0.8% | Wetzel, WV / 16,507 |
| 9. | 0.8% | Grant, WV / 11,789 |
| 10. | 0.8% | Berkeley, WV / 99,058 |
| 11. | 0.7% | Brooke, WV / 23,801 |
| 11. | 0.7% | Mineral, WV / 26,960 |
| 13. | 0.7% | Hardy, WV / 13,488 |
| 14. | 0.6% | Lewis, WV / 17,215 |
| 15. | 0.6% | Boone, WV / 25,000 |
| 16. | 0.5% | Nicholas, WV / 26,084 |
| 16. | 0.5% | Barbour, WV / 15,522 |
| 16. | 0.5% | Wyoming, WV / 23,651 |
| 19. | 0.4% | Morgan, WV / 16,303 |
| 20. | 0.4% | Kanawha, WV / 191,624 |
| 20. | 0.4% | Wood, WV / 86,557 |
| 22. | 0.4% | Marion, WV / 56,568 |
| 22. | 0.4% | Roane, WV / 15,123 |
| 24. | 0.4% | Randolph, WV / 28,377 |
| 24. | 0.4% | Gilmer, WV / 6,889 |
| 24. | 0.4% | Greenbrier, WV / 34,610 |
| 27. | 0.3% | Mercer, WV / 61,451 |
| 27. | 0.3% | Pendleton, WV / 7,577 |
| 29. | 0.3% | Lincoln, WV / 22,211 |
| 30. | 0.3% | Taylor, WV / 16,188 |
| 31. | 0.3% | Logan, WV / 35,553 |
| 32. | 0.3% | Hampshire, WV / 22,400 |
| 32. | 0.3% | Jackson, WV / 28,140 |
| 34. | 0.2% | Cabell, WV / 94,552 |
| 35. | 0.2% | Harrison, WV / 68,363 |
| 36. | 0.2% | Mason, WV / 25,536 |
| 37. | 0.2% | Raleigh, WV / 78,686 |
| 38. | 0.2% | Mingo, WV / 26,562 |
| 38. | 0.2% | Preston, WV / 30,178 |
| 38. | 0.2% | Putnam, WV / 54,881 |
| 41. | 0.1% | Wayne, WV / 41,496 |
| 42. | 0.1% | Ohio, WV / 44,365 |
Please note that we only rank locations with 'Percentage of Houses with a Value of $1 Million or More' data. The rank above might not be a complete list. Locations without 'Percentage of Houses with a Value of $1 Million or More' 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.