77701 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 77701 Zip Code | Texas | U.S. |
Total Housing Units | 6,382, 100% | 10,187,189 | 132,741,033 |
1 Room | 236, 3.70%, see rank | 1.69% | 1.95% |
2 Rooms | 163, 2.55%, see rank | 2.86% | 2.48% |
3 Rooms | 495, 7.76%, see rank | 10.61% | 9.13% |
4 Rooms | 1,133, 17.75%, see rank | 16.68% | 16.60% |
5 Rooms | 1,699, 26.62%, see rank | 21.74% | 20.41% |
6 Rooms | 1,532, 24.01%, see rank | 18.39% | 18.06% |
7 Rooms | 637, 9.98%, see rank | 11.53% | 12.27% |
8 Rooms | 258, 4.04%, see rank | 7.50% | 8.48% |
9 Rooms or More | 229, 3.59%, see rank | 8.98% | 10.60% |
Median Rooms | 5.20, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 77701 Zip Code | Texas | U.S. |
Total Housing Units | 6,410, 100% | 9,978,137 | 131,642,457 |
1 Room | 207, 3.23%, see rank | 1.66% | 1.95% |
2 Rooms | 122, 1.90%, see rank | 2.67% | 2.36% |
3 Rooms | 463, 7.22%, see rank | 10.39% | 8.97% |
4 Rooms | 1,129, 17.61%, see rank | 16.76% | 16.57% |
5 Rooms | 1,907, 29.75%, see rank | 21.93% | 20.41% |
6 Rooms | 1,448, 22.59%, see rank | 18.70% | 18.25% |
7 Rooms | 444, 6.93%, see rank | 11.53% | 12.38% |
8 Rooms | 307, 4.79%, see rank | 7.57% | 8.59% |
9 Rooms or More | 383, 5.98%, see rank | 8.79% | 10.52% |
Median Rooms | 5.20, see rank | 5.30 | 5.50 |
US Census 2000 data
| 77701 Zip Code | Texas | U.S. |
Total Housing Units | 6,761, 100% | 8,157,575 | 115,904,641 |
1 Room | 164, 2.43%, see rank | 2.55% | 2.20% |
2 Rooms | 419, 6.20%, see rank | 6.26% | 4.81% |
3 Rooms | 893, 13.21%, see rank | 12.03% | 9.84% |
4 Rooms | 971, 14.36%, see rank | 16.29% | 15.97% |
5 Rooms | 1,785, 26.40%, see rank | 22.48% | 20.89% |
6 Rooms | 1,300, 19.23%, see rank | 18.07% | 18.45% |
7 Rooms | 710, 10.50%, see rank | 10.50% | 12.06% |
8 Rooms | 280, 4.14%, see rank | 6.14% | 8.06% |
9 Rooms or More | 239, 3.53%, see rank | 5.69% | 7.70% |
Median Rooms | 5.00, 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.