77384 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 77384 Zip Code | Texas | U.S. |
Total Housing Units | 5,912, 100% | 10,187,189 | 132,741,033 |
1 Room | 37, 0.63%, see rank | 1.69% | 1.95% |
2 Rooms | 277, 4.69%, see rank | 2.86% | 2.48% |
3 Rooms | 971, 16.42%, see rank | 10.61% | 9.13% |
4 Rooms | 707, 11.96%, see rank | 16.68% | 16.60% |
5 Rooms | 856, 14.48%, see rank | 21.74% | 20.41% |
6 Rooms | 1,013, 17.13%, see rank | 18.39% | 18.06% |
7 Rooms | 725, 12.26%, see rank | 11.53% | 12.27% |
8 Rooms | 514, 8.69%, see rank | 7.50% | 8.48% |
9 Rooms or More | 812, 13.73%, see rank | 8.98% | 10.60% |
Median Rooms | 5.60, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 77384 Zip Code | Texas | U.S. |
Total Housing Units | 5,481, 100% | 9,978,137 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.66% | 1.95% |
2 Rooms | 158, 2.88%, see rank | 2.67% | 2.36% |
3 Rooms | 754, 13.76%, see rank | 10.39% | 8.97% |
4 Rooms | 705, 12.86%, see rank | 16.76% | 16.57% |
5 Rooms | 857, 15.64%, see rank | 21.93% | 20.41% |
6 Rooms | 1,091, 19.91%, see rank | 18.70% | 18.25% |
7 Rooms | 766, 13.98%, see rank | 11.53% | 12.38% |
8 Rooms | 537, 9.80%, see rank | 7.57% | 8.59% |
9 Rooms or More | 613, 11.18%, see rank | 8.79% | 10.52% |
Median Rooms | 5.70, see rank | 5.30 | 5.50 |
US Census 2000 data
| 77384 Zip Code | Texas | U.S. |
Total Housing Units | 1,436, 100% | 8,157,575 | 115,904,641 |
1 Room | 12, 0.84%, see rank | 2.55% | 2.20% |
2 Rooms | 7, 0.49%, see rank | 6.26% | 4.81% |
3 Rooms | 119, 8.29%, see rank | 12.03% | 9.84% |
4 Rooms | 121, 8.43%, see rank | 16.29% | 15.97% |
5 Rooms | 171, 11.91%, see rank | 22.48% | 20.89% |
6 Rooms | 300, 20.89%, see rank | 18.07% | 18.45% |
7 Rooms | 313, 21.80%, see rank | 10.50% | 12.06% |
8 Rooms | 193, 13.44%, see rank | 6.14% | 8.06% |
9 Rooms or More | 200, 13.93%, see rank | 5.69% | 7.70% |
Median Rooms | 6.50, 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.