Local Data Search
A total of 41 results found. Show Results on Map.
| Rank | House Median Value ▼ | Census Block Group / Population |
| 1. | $160,900 | ND0719577002 / 937 |
| 2. | $130,200 | ND0719578001 / 1,267 |
| 3. | $121,400 | ND0719576001 / 1,438 |
| 4. | $116,700 | ND0679503001 / 1,080 |
| 5. | $115,000 | ND0719578003 / 1,002 |
| 6. | $89,200 | ND0679502001 / 377 |
| 7. | $86,400 | ND0719576004 / 1,363 |
| 8. | $85,000 | ND0199511002 / 696 |
| 9. | $84,200 | ND0350114001 / 1,176 |
| 10. | $83,500 | ND0350120002 / 2,060 |
| 11. | $83,300 | ND0679504002 / 544 |
| 12. | $80,700 | ND0999582001 / 621 |
| 13. | $77,400 | ND0199509002 / 822 |
| 14. | $75,600 | ND0679503002 / 711 |
| 15. | $72,700 | ND0959515002 / 653 |
| 16. | $72,400 | ND0719577004 / 536 |
| 17. | $72,000 | ND0059402001 / 1,059 |
| 18. | $67,600 | ND0639590001 / 648 |
| 19. | $64,300 | ND0999582002 / 1,008 |
| 20. | $63,400 | ND0719578004 / 854 |
| 21. | $61,900 | ND0719576003 / 749 |
| 22. | $60,300 | ND0679502002 / 1,101 |
| 23. | $59,800 | ND0719577001 / 740 |
| 24. | $58,200 | ND0199511003 / 668 |
| 25. | $55,900 | ND0999583002 / 673 |
| 26. | $55,700 | ND0679504001 / 775 |
| 27. | $55,400 | ND0639590002 / 640 |
| 28. | $47,600 | ND0999581002 / 724 |
| 29. | $47,100 | ND0959515003 / 822 |
| 30. | $47,000 | ND0639590004 / 1,077 |
| 31. | $46,500 | ND0059401001 / 1,315 |
| 32. | $46,300 | ND0999583001 / 692 |
| 33. | $45,900 | ND0199509001 / 932 |
| 34. | $44,800 | ND0199511001 / 928 |
| 35. | $42,000 | ND0059402002 / 922 |
| 36. | $37,200 | ND0639590003 / 820 |
| 37. | $35,900 | ND0719578002 / 1,225 |
| 38. | $34,400 | ND0719577003 / 594 |
| 38. | $34,400 | ND0959515001 / 814 |
| 40. | $27,800 | ND0059401002 / 1,076 |
| 41. | $9,999 | ND0719576002 / 666 |
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.