76528 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 76528 Zip Code | Texas | U.S. |
Total Housing Units | 6,828, 100% | 10,187,189 | 132,741,033 |
1 Room | 15, 0.22%, see rank | 1.69% | 1.95% |
2 Rooms | 109, 1.60%, see rank | 2.86% | 2.48% |
3 Rooms | 463, 6.78%, see rank | 10.61% | 9.13% |
4 Rooms | 1,064, 15.58%, see rank | 16.68% | 16.60% |
5 Rooms | 2,027, 29.69%, see rank | 21.74% | 20.41% |
6 Rooms | 1,518, 22.23%, see rank | 18.39% | 18.06% |
7 Rooms | 921, 13.49%, see rank | 11.53% | 12.27% |
8 Rooms | 382, 5.59%, see rank | 7.50% | 8.48% |
9 Rooms or More | 329, 4.82%, see rank | 8.98% | 10.60% |
Median Rooms | 5.40, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 76528 Zip Code | Texas | U.S. |
Total Housing Units | 7,080, 100% | 9,978,137 | 131,642,457 |
1 Room | 1, 0.01%, see rank | 1.66% | 1.95% |
2 Rooms | 59, 0.83%, see rank | 2.67% | 2.36% |
3 Rooms | 474, 6.69%, see rank | 10.39% | 8.97% |
4 Rooms | 1,113, 15.72%, see rank | 16.76% | 16.57% |
5 Rooms | 2,006, 28.33%, see rank | 21.93% | 20.41% |
6 Rooms | 1,689, 23.86%, see rank | 18.70% | 18.25% |
7 Rooms | 1,049, 14.82%, see rank | 11.53% | 12.38% |
8 Rooms | 373, 5.27%, see rank | 7.57% | 8.59% |
9 Rooms or More | 316, 4.46%, see rank | 8.79% | 10.52% |
Median Rooms | 5.40, see rank | 5.30 | 5.50 |
US Census 2000 data
| 76528 Zip Code | Texas | U.S. |
Total Housing Units | 6,077, 100% | 8,157,575 | 115,904,641 |
1 Room | 85, 1.40%, see rank | 2.55% | 2.20% |
2 Rooms | 143, 2.35%, see rank | 6.26% | 4.81% |
3 Rooms | 387, 6.37%, see rank | 12.03% | 9.84% |
4 Rooms | 1,146, 18.86%, see rank | 16.29% | 15.97% |
5 Rooms | 1,728, 28.44%, see rank | 22.48% | 20.89% |
6 Rooms | 1,426, 23.47%, see rank | 18.07% | 18.45% |
7 Rooms | 614, 10.10%, see rank | 10.50% | 12.06% |
8 Rooms | 357, 5.87%, see rank | 6.14% | 8.06% |
9 Rooms or More | 191, 3.14%, see rank | 5.69% | 7.70% |
Median Rooms | 5.20, see rank | 5.10 | 5.30 |
* 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.