Local Data Search
A total of 39 results found. Show Results on Map.
| Rank | House Median Value ▼ | City / Population |
| 1. | $340,000 | Twin Lakes, WA / 95 |
| 2. | $317,200 | Green Bluff, WA / 814 |
| 3. | $234,700 | Fairwood CDP, WA / 7,418 |
| 4. | $212,500 | Country Homes, WA / 5,225 |
| 5. | $199,500 | Mead, WA / 7,069 |
| 6. | $185,700 | Four Lakes, WA / 408 |
| 7. | $184,400 | Loon Lake, WA / 749 |
| 8. | $176,800 | Cheney, WA / 10,283 |
| 9. | $173,500 | Town And Country, WA / 4,885 |
| 10. | $167,600 | Medical Lake, WA / 4,828 |
| 11. | $165,500 | Reardan, WA / 543 |
| 12. | $164,300 | Millwood, WA / 1,658 |
| 13. | $161,200 | Spokane, WA / 206,541 |
| 14. | $153,200 | Electric City, WA / 1,086 |
| 15. | $151,900 | Chewelah, WA / 2,558 |
| 16. | $150,700 | Deer Park, WA / 3,542 |
| 17. | $146,900 | Nespelem Community, WA / 169 |
| 18. | $146,700 | Keller, WA / 348 |
| 19. | $143,900 | Airway Heights, WA / 5,819 |
| 20. | $142,100 | Colville, WA / 4,744 |
| 21. | $137,500 | Cusick, WA / 319 |
| 22. | $135,100 | Davenport, WA / 2,081 |
| 23. | $127,500 | Kettle Falls, WA / 1,642 |
| 24. | $120,000 | Nespelem, WA / 144 |
| 25. | $119,100 | Springdale, WA / 322 |
| 26. | $115,200 | Elmer City, WA / 282 |
| 27. | $109,100 | Wilbur, WA / 890 |
| 28. | $106,700 | Inchelium, WA / 436 |
| 29. | $102,100 | Hartline, WA / 102 |
| 29. | $102,100 | Marcus, WA / 128 |
| 31. | $100,800 | Barney'S Junction, WA / 75 |
| 32. | $99,800 | Grand Coulee, WA / 1,159 |
| 33. | $98,000 | Coulee Dam, WA / 1,224 |
| 34. | $85,000 | Pine Grove, WA / 100 |
| 35. | $81,300 | Almira, WA / 242 |
| 36. | $79,500 | Clayton, WA / 583 |
| 37. | $78,500 | Harrington, WA / 418 |
| 38. | $78,300 | Creston, WA / 268 |
| 39. | $58,500 | Addy, WA / 123 |
Please note that we only rank locations with 'House Median Value' data. The rank above might not be a complete list. Locations without 'House Median Value' 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.