Local Data Search
A total of 41 results found. Show Results on Map.
| Rank | House Median Value ▼ | Census Block Group / Population |
| 1. | $160,100 | NE0899740001 / 497 |
| 2. | $113,600 | NE0039796001 / 565 |
| 3. | $103,100 | NE0899743001 / 715 |
| 3. | $103,100 | NE0899741002 / 766 |
| 5. | $101,900 | NE0899743002 / 1,128 |
| 6. | $93,400 | NE0899742002 / 714 |
| 7. | $86,700 | SD0099677002 / 2,232 |
| 8. | $83,300 | NE0899740002 / 1,024 |
| 9. | $82,400 | NE0899742001 / 1,187 |
| 10. | $78,500 | NE0039797001 / 790 |
| 11. | $76,200 | NE0039796002 / 611 |
| 12. | $75,700 | SD0099677001 / 1,325 |
| 13. | $75,000 | SD0239402002 / 785 |
| 13. | $75,000 | NE0899743004 / 572 |
| 15. | $74,600 | SD0099676003 / 908 |
| 16. | $74,200 | NE0899743003 / 952 |
| 17. | $72,100 | NE1499746001 / 871 |
| 18. | $71,700 | SD0239403002 / 1,780 |
| 19. | $70,400 | SD0239403001 / 1,096 |
| 20. | $70,000 | NE0039796003 / 884 |
| 21. | $69,500 | NE1079764002 / 1,414 |
| 22. | $68,100 | NE1399792001 / 868 |
| 23. | $67,900 | NE1079762001 / 1,380 |
| 24. | $66,100 | NE1839736001 / 751 |
| 25. | $63,900 | SD0239402003 / 675 |
| 26. | $61,700 | NE1399792003 / 1,353 |
| 27. | $60,000 | SD0539712002 / 1,337 |
| 28. | $59,400 | SD0239403003 / 1,004 |
| 29. | $59,200 | NE0039797002 / 1,070 |
| 30. | $58,900 | NE0159758001 / 1,149 |
| 31. | $58,300 | NE0899741003 / 740 |
| 32. | $56,100 | NE0039798001 / 829 |
| 33. | $54,900 | SD0099676002 / 1,526 |
| 34. | $54,600 | NE0899741001 / 1,297 |
| 35. | $54,200 | NE1079762002 / 1,903 |
| 36. | $52,800 | NE1079763001 / 1,187 |
| 37. | $50,300 | SD0439696003 / 618 |
| 38. | $46,900 | SD0539712001 / 867 |
| 39. | $43,300 | SD0239402001 / 1,164 |
| 40. | $41,400 | NE0899743005 / 887 |
| 41. | $31,500 | NE0159758002 / 958 |
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.