78076 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 78076 Zip Code | Texas | U.S. |
Total Housing Units | 5,552, 100% | 10,187,189 | 132,741,033 |
1 Room | 122, 2.20%, see rank | 1.69% | 1.95% |
2 Rooms | 318, 5.73%, see rank | 2.86% | 2.48% |
3 Rooms | 1,127, 20.30%, see rank | 10.61% | 9.13% |
4 Rooms | 1,181, 21.27%, see rank | 16.68% | 16.60% |
5 Rooms | 1,069, 19.25%, see rank | 21.74% | 20.41% |
6 Rooms | 894, 16.10%, see rank | 18.39% | 18.06% |
7 Rooms | 620, 11.17%, see rank | 11.53% | 12.27% |
8 Rooms | 123, 2.22%, see rank | 7.50% | 8.48% |
9 Rooms or More | 98, 1.77%, see rank | 8.98% | 10.60% |
Median Rooms | 4.50, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 78076 Zip Code | Texas | U.S. |
Total Housing Units | 5,551, 100% | 9,978,137 | 131,642,457 |
1 Room | 59, 1.06%, see rank | 1.66% | 1.95% |
2 Rooms | 196, 3.53%, see rank | 2.67% | 2.36% |
3 Rooms | 813, 14.65%, see rank | 10.39% | 8.97% |
4 Rooms | 1,654, 29.80%, see rank | 16.76% | 16.57% |
5 Rooms | 1,189, 21.42%, see rank | 21.93% | 20.41% |
6 Rooms | 807, 14.54%, see rank | 18.70% | 18.25% |
7 Rooms | 622, 11.21%, see rank | 11.53% | 12.38% |
8 Rooms | 40, 0.72%, see rank | 7.57% | 8.59% |
9 Rooms or More | 171, 3.08%, see rank | 8.79% | 10.52% |
Median Rooms | 4.50, see rank | 5.30 | 5.50 |
US Census 2000 data
| 78076 Zip Code | Texas | U.S. |
Total Housing Units | 6,123, 100% | 8,157,575 | 115,904,641 |
1 Room | 265, 4.33%, see rank | 2.55% | 2.20% |
2 Rooms | 835, 13.64%, see rank | 6.26% | 4.81% |
3 Rooms | 904, 14.76%, see rank | 12.03% | 9.84% |
4 Rooms | 1,474, 24.07%, see rank | 16.29% | 15.97% |
5 Rooms | 1,427, 23.31%, see rank | 22.48% | 20.89% |
6 Rooms | 768, 12.54%, see rank | 18.07% | 18.45% |
7 Rooms | 264, 4.31%, see rank | 10.50% | 12.06% |
8 Rooms | 88, 1.44%, see rank | 6.14% | 8.06% |
9 Rooms or More | 98, 1.60%, see rank | 5.69% | 7.70% |
Median Rooms | 4.20, 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.