Local Data Search
A total of 41 results found. Show Results on Map.
| Rank | Median Household Income ▼ | Census Block Group / Population |
| 1. | $70,833 | TX1699501001 / 731 |
| 2. | $67,679 | TX3030107001 / 2,706 |
| 3. | $61,563 | TX2699501001 / 219 |
| 4. | $60,486 | TX1539506005 / 755 |
| 5. | $57,697 | TX3030101022 / 1,951 |
| 6. | $57,009 | TX3030101012 / 1,032 |
| 7. | $53,947 | TX4339503002 / 890 |
| 8. | $50,473 | TX3030107002 / 1,112 |
| 9. | $48,676 | TX1699501002 / 2,304 |
| 10. | $47,750 | TX2639501001 / 772 |
| 11. | $46,818 | TX3030101011 / 531 |
| 12. | $46,283 | TX4159501001 / 2,397 |
| 13. | $45,500 | TX1079501003 / 1,170 |
| 14. | $44,688 | TX1259503001 / 853 |
| 15. | $44,402 | TX1539506003 / 946 |
| 16. | $42,727 | TX1079503001 / 1,428 |
| 17. | $42,125 | TX1079501001 / 410 |
| 18. | $40,625 | TX4339503001 / 544 |
| 19. | $39,960 | TX3030106005 / 824 |
| 20. | $38,750 | TX1019501003 / 536 |
| 21. | $36,750 | TX1699501005 / 1,093 |
| 22. | $35,521 | TX3459501002 / 655 |
| 23. | $33,611 | TX3459501001 / 468 |
| 24. | $32,552 | TX1899508001 / 749 |
| 25. | $32,423 | TX3030106001 / 1,401 |
| 26. | $32,353 | TX3030106004 / 2,192 |
| 27. | $32,177 | TX1539506002 / 571 |
| 28. | $31,827 | TX3030101021 / 805 |
| 29. | $31,172 | TX1259503002 / 758 |
| 30. | $30,938 | TX1079502002 / 1,839 |
| 31. | $30,000 | TX1519504003 / 728 |
| 32. | $29,167 | TX3030106002 / 888 |
| 33. | $28,929 | TX1079502001 / 739 |
| 34. | $28,333 | TX1019501002 / 597 |
| 35. | $27,752 | TX1539506004 / 1,608 |
| 36. | $27,333 | TX1079501002 / 621 |
| 37. | $23,218 | TX1699501003 / 1,458 |
| 38. | $22,031 | TX1259503003 / 830 |
| 39. | $19,500 | TX3030106003 / 722 |
| 40. | $18,727 | TX1699501004 / 618 |
| 41. | $18,542 | TX1539506001 / 197 |
Please note that we only rank locations with 'Median Household Income' data. The rank above might not be a complete list. Locations without 'Median Household Income' 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.