Local Data Search
A total of 39 results found. Show Results on Map.
| Rank | Median Household Income ▲ | City / Population |
| 1. | $21,420 | Lometa, TX / 979 |
| 2. | $24,919 | Goldthwaite, TX / 2,400 |
| 3. | $26,250 | Richland Springs, TX / 453 |
| 4. | $27,143 | Blanket, TX / 472 |
| 5. | $27,670 | San Saba, TX / 2,962 |
| 6. | $30,556 | Morgan, TX / 516 |
| 7. | $30,700 | De Leon, TX / 2,454 |
| 8. | $32,132 | Comanche, TX / 4,336 |
| 9. | $32,450 | Hico, TX / 1,633 |
| 10. | $32,542 | Moody, TX / 1,353 |
| 11. | $32,917 | Gustine, TX / 447 |
| 12. | $34,174 | Lampasas, TX / 6,855 |
| 13. | $34,750 | Evant, TX / 678 |
| 14. | $34,786 | Buchanan Lake Village, TX / 756 |
| 15. | $35,586 | Dublin, TX / 3,683 |
| 16. | $35,833 | Meridian, TX / 1,839 |
| 17. | $36,250 | Clifton, TX / 3,489 |
| 18. | $36,326 | Walnut Springs, TX / 1,129 |
| 19. | $36,750 | Iredell, TX / 255 |
| 20. | $37,039 | Buchanan Dam, TX / 1,397 |
| 21. | $37,381 | Florence, TX / 1,144 |
| 22. | $37,431 | Kempner, TX / 997 |
| 23. | $37,500 | Cranfills Gap, TX / 284 |
| 24. | $38,958 | Mcgregor, TX / 4,917 |
| 25. | $39,833 | Fort Hood, TX / 34,453 |
| 26. | $41,276 | Gatesville, TX / 15,544 |
| 27. | $41,823 | Hamilton, TX / 3,099 |
| 28. | $43,438 | Oglesby, TX / 370 |
| 29. | $44,370 | Killeen, TX / 120,052 |
| 30. | $46,058 | Valley Mills, TX / 1,398 |
| 31. | $46,250 | Mullin, TX / 210 |
| 32. | $47,600 | Early, TX / 2,769 |
| 33. | $47,817 | Belton, TX / 17,845 |
| 34. | $48,988 | Nolanville, TX / 3,854 |
| 35. | $49,574 | Crawford, TX / 1,146 |
| 36. | $49,754 | Copperas Cove, TX / 31,595 |
| 37. | $59,491 | Harker Heights, TX / 24,877 |
| 38. | $60,000 | South Mountain, TX / 267 |
| 39. | $67,633 | Morgans Point Resort, TX / 3,908 |
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.