78752 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 78752 Zip Code | Texas | U.S. |
Total Housing Units | 8,147, 100% | 10,187,189 | 132,741,033 |
1 Room | 619, 7.60%, see rank | 1.69% | 1.95% |
2 Rooms | 711, 8.73%, see rank | 2.86% | 2.48% |
3 Rooms | 2,164, 26.56%, see rank | 10.61% | 9.13% |
4 Rooms | 2,000, 24.55%, see rank | 16.68% | 16.60% |
5 Rooms | 1,401, 17.20%, see rank | 21.74% | 20.41% |
6 Rooms | 738, 9.06%, see rank | 18.39% | 18.06% |
7 Rooms | 188, 2.31%, see rank | 11.53% | 12.27% |
8 Rooms | 148, 1.82%, see rank | 7.50% | 8.48% |
9 Rooms or More | 178, 2.18%, see rank | 8.98% | 10.60% |
Median Rooms | 3.80, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 78752 Zip Code | Texas | U.S. |
Total Housing Units | 8,077, 100% | 9,978,137 | 131,642,457 |
1 Room | 517, 6.40%, see rank | 1.66% | 1.95% |
2 Rooms | 714, 8.84%, see rank | 2.67% | 2.36% |
3 Rooms | 2,452, 30.36%, see rank | 10.39% | 8.97% |
4 Rooms | 2,015, 24.95%, see rank | 16.76% | 16.57% |
5 Rooms | 1,101, 13.63%, see rank | 21.93% | 20.41% |
6 Rooms | 788, 9.76%, see rank | 18.70% | 18.25% |
7 Rooms | 235, 2.91%, see rank | 11.53% | 12.38% |
8 Rooms | 102, 1.26%, see rank | 7.57% | 8.59% |
9 Rooms or More | 153, 1.89%, see rank | 8.79% | 10.52% |
Median Rooms | 3.70, see rank | 5.30 | 5.50 |
US Census 2000 data
| 78752 Zip Code | Texas | U.S. |
Total Housing Units | 6,994, 100% | 8,157,575 | 115,904,641 |
1 Room | 684, 9.78%, see rank | 2.55% | 2.20% |
2 Rooms | 1,168, 16.70%, see rank | 6.26% | 4.81% |
3 Rooms | 1,670, 23.88%, see rank | 12.03% | 9.84% |
4 Rooms | 1,412, 20.19%, see rank | 16.29% | 15.97% |
5 Rooms | 990, 14.15%, see rank | 22.48% | 20.89% |
6 Rooms | 735, 10.51%, see rank | 18.07% | 18.45% |
7 Rooms | 215, 3.07%, see rank | 10.50% | 12.06% |
8 Rooms | 78, 1.12%, see rank | 6.14% | 8.06% |
9 Rooms or More | 42, 0.60%, see rank | 5.69% | 7.70% |
Median Rooms | 3.50, 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.