77045 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 77045 Zip Code | Texas | U.S. |
Total Housing Units | 10,272, 100% | 10,187,189 | 132,741,033 |
1 Room | 38, 0.37%, see rank | 1.69% | 1.95% |
2 Rooms | 34, 0.33%, see rank | 2.86% | 2.48% |
3 Rooms | 388, 3.78%, see rank | 10.61% | 9.13% |
4 Rooms | 1,012, 9.85%, see rank | 16.68% | 16.60% |
5 Rooms | 2,832, 27.57%, see rank | 21.74% | 20.41% |
6 Rooms | 3,368, 32.79%, see rank | 18.39% | 18.06% |
7 Rooms | 1,762, 17.15%, see rank | 11.53% | 12.27% |
8 Rooms | 541, 5.27%, see rank | 7.50% | 8.48% |
9 Rooms or More | 297, 2.89%, see rank | 8.98% | 10.60% |
Median Rooms | 5.70, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 77045 Zip Code | Texas | U.S. |
Total Housing Units | 10,110, 100% | 9,978,137 | 131,642,457 |
1 Room | 59, 0.58%, see rank | 1.66% | 1.95% |
2 Rooms | 44, 0.44%, see rank | 2.67% | 2.36% |
3 Rooms | 484, 4.79%, see rank | 10.39% | 8.97% |
4 Rooms | 849, 8.40%, see rank | 16.76% | 16.57% |
5 Rooms | 2,819, 27.88%, see rank | 21.93% | 20.41% |
6 Rooms | 3,688, 36.48%, see rank | 18.70% | 18.25% |
7 Rooms | 1,536, 15.19%, see rank | 11.53% | 12.38% |
8 Rooms | 407, 4.03%, see rank | 7.57% | 8.59% |
9 Rooms or More | 224, 2.22%, see rank | 8.79% | 10.52% |
Median Rooms | 5.70, see rank | 5.30 | 5.50 |
US Census 2000 data
| 77045 Zip Code | Texas | U.S. |
Total Housing Units | 7,684, 100% | 8,157,575 | 115,904,641 |
1 Room | 40, 0.52%, see rank | 2.55% | 2.20% |
2 Rooms | 148, 1.93%, see rank | 6.26% | 4.81% |
3 Rooms | 1,271, 16.54%, see rank | 12.03% | 9.84% |
4 Rooms | 567, 7.38%, see rank | 16.29% | 15.97% |
5 Rooms | 1,870, 24.34%, see rank | 22.48% | 20.89% |
6 Rooms | 2,444, 31.81%, see rank | 18.07% | 18.45% |
7 Rooms | 847, 11.02%, see rank | 10.50% | 12.06% |
8 Rooms | 302, 3.93%, see rank | 6.14% | 8.06% |
9 Rooms or More | 195, 2.54%, see rank | 5.69% | 7.70% |
Median Rooms | 5.50, 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.