78064 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 78064 Zip Code | Texas | U.S. |
Total Housing Units | 5,289, 100% | 10,187,189 | 132,741,033 |
1 Room | 101, 1.91%, see rank | 1.69% | 1.95% |
2 Rooms | 48, 0.91%, see rank | 2.86% | 2.48% |
3 Rooms | 296, 5.60%, see rank | 10.61% | 9.13% |
4 Rooms | 1,337, 25.28%, see rank | 16.68% | 16.60% |
5 Rooms | 1,060, 20.04%, see rank | 21.74% | 20.41% |
6 Rooms | 932, 17.62%, see rank | 18.39% | 18.06% |
7 Rooms | 834, 15.77%, see rank | 11.53% | 12.27% |
8 Rooms | 368, 6.96%, see rank | 7.50% | 8.48% |
9 Rooms or More | 313, 5.92%, see rank | 8.98% | 10.60% |
Median Rooms | 5.30, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 78064 Zip Code | Texas | U.S. |
Total Housing Units | 5,366, 100% | 9,978,137 | 131,642,457 |
1 Room | 114, 2.12%, see rank | 1.66% | 1.95% |
2 Rooms | 122, 2.27%, see rank | 2.67% | 2.36% |
3 Rooms | 281, 5.24%, see rank | 10.39% | 8.97% |
4 Rooms | 1,280, 23.85%, see rank | 16.76% | 16.57% |
5 Rooms | 1,177, 21.93%, see rank | 21.93% | 20.41% |
6 Rooms | 1,006, 18.75%, see rank | 18.70% | 18.25% |
7 Rooms | 682, 12.71%, see rank | 11.53% | 12.38% |
8 Rooms | 428, 7.98%, see rank | 7.57% | 8.59% |
9 Rooms or More | 276, 5.14%, see rank | 8.79% | 10.52% |
Median Rooms | 5.30, see rank | 5.30 | 5.50 |
US Census 2000 data
| 78064 Zip Code | Texas | U.S. |
Total Housing Units | 4,906, 100% | 8,157,575 | 115,904,641 |
1 Room | 72, 1.47%, see rank | 2.55% | 2.20% |
2 Rooms | 271, 5.52%, see rank | 6.26% | 4.81% |
3 Rooms | 338, 6.89%, see rank | 12.03% | 9.84% |
4 Rooms | 869, 17.71%, see rank | 16.29% | 15.97% |
5 Rooms | 1,310, 26.70%, see rank | 22.48% | 20.89% |
6 Rooms | 1,192, 24.30%, see rank | 18.07% | 18.45% |
7 Rooms | 515, 10.50%, see rank | 10.50% | 12.06% |
8 Rooms | 205, 4.18%, see rank | 6.14% | 8.06% |
9 Rooms or More | 134, 2.73%, 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.