Local Data Search
A total of 41 results found. Show Results on Map.
| Rank | House Median Value ▼ | Census Block Group / Population |
| 1. | $325,000 | TX2699501001 / 219 |
| 2. | $151,400 | TX1699501001 / 731 |
| 3. | $129,600 | TX3030107001 / 2,706 |
| 4. | $98,900 | TX3030101022 / 1,951 |
| 5. | $98,100 | TX3030107002 / 1,112 |
| 6. | $93,300 | TX1539506005 / 755 |
| 7. | $93,100 | TX1699501003 / 1,458 |
| 8. | $88,400 | TX3030101012 / 1,032 |
| 9. | $87,600 | TX3030101011 / 531 |
| 10. | $86,000 | TX3030106005 / 824 |
| 11. | $81,400 | TX4159501001 / 2,397 |
| 12. | $76,700 | TX1539506003 / 946 |
| 13. | $70,800 | TX1079501001 / 410 |
| 14. | $69,300 | TX4339503002 / 890 |
| 15. | $68,100 | TX1259503001 / 853 |
| 16. | $63,300 | TX3459501002 / 655 |
| 17. | $60,700 | TX1079503001 / 1,428 |
| 18. | $59,300 | TX1539506002 / 571 |
| 19. | $57,800 | TX3459501001 / 468 |
| 20. | $54,500 | TX3030106004 / 2,192 |
| 21. | $53,100 | TX1699501004 / 618 |
| 22. | $51,700 | TX1079501003 / 1,170 |
| 23. | $50,000 | TX1079502002 / 1,839 |
| 24. | $48,900 | TX2639501001 / 772 |
| 25. | $47,100 | TX3030101021 / 805 |
| 26. | $46,800 | TX3030106001 / 1,401 |
| 27. | $46,400 | TX1899508001 / 749 |
| 28. | $44,200 | TX1699501002 / 2,304 |
| 29. | $43,800 | TX1079502001 / 739 |
| 29. | $43,800 | TX4339503001 / 544 |
| 31. | $41,800 | TX1019501003 / 536 |
| 32. | $39,800 | TX3030106002 / 888 |
| 33. | $39,100 | TX1699501005 / 1,093 |
| 34. | $34,700 | TX1539506001 / 197 |
| 35. | $33,300 | TX1259503002 / 758 |
| 36. | $31,300 | TX3030106003 / 722 |
| 37. | $31,000 | TX1539506004 / 1,608 |
| 38. | $30,900 | TX1519504003 / 728 |
| 39. | $30,300 | TX1019501002 / 597 |
| 40. | $29,200 | TX1079501002 / 621 |
| 41. | $24,500 | TX1259503003 / 830 |
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.