15748 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 15748 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,855, 100% | 5,578,393 | 132,741,033 |
1 Room | 23, 0.81%, see rank | 1.73% | 1.95% |
2 Rooms | 3, 0.11%, see rank | 1.73% | 2.48% |
3 Rooms | 110, 3.85%, see rank | 7.21% | 9.13% |
4 Rooms | 325, 11.38%, see rank | 12.40% | 16.60% |
5 Rooms | 602, 21.09%, see rank | 16.40% | 20.41% |
6 Rooms | 729, 25.53%, see rank | 21.82% | 18.06% |
7 Rooms | 445, 15.59%, see rank | 14.82% | 12.27% |
8 Rooms | 318, 11.14%, see rank | 10.70% | 8.48% |
9 Rooms or More | 300, 10.51%, see rank | 13.18% | 10.60% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 15748 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,078, 100% | 5,563,832 | 131,642,457 |
1 Room | 48, 1.56%, see rank | 1.68% | 1.95% |
2 Rooms | 27, 0.88%, see rank | 1.69% | 2.36% |
3 Rooms | 117, 3.80%, see rank | 7.15% | 8.97% |
4 Rooms | 378, 12.28%, see rank | 12.46% | 16.57% |
5 Rooms | 576, 18.71%, see rank | 16.43% | 20.41% |
6 Rooms | 730, 23.72%, see rank | 21.86% | 18.25% |
7 Rooms | 533, 17.32%, see rank | 14.93% | 12.38% |
8 Rooms | 404, 13.13%, see rank | 10.77% | 8.59% |
9 Rooms or More | 265, 8.61%, see rank | 13.03% | 10.52% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
US Census 2000 data
| 15748 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,113, 100% | 5,249,750 | 115,904,641 |
1 Room | 4, 0.13%, see rank | 1.19% | 2.20% |
2 Rooms | 51, 1.64%, see rank | 2.73% | 4.81% |
3 Rooms | 128, 4.11%, see rank | 7.69% | 9.84% |
4 Rooms | 426, 13.68%, see rank | 12.73% | 15.97% |
5 Rooms | 710, 22.81%, see rank | 17.61% | 20.89% |
6 Rooms | 879, 28.24%, see rank | 23.25% | 18.45% |
7 Rooms | 507, 16.29%, see rank | 14.62% | 12.06% |
8 Rooms | 247, 7.93%, see rank | 10.69% | 8.06% |
9 Rooms or More | 161, 5.17%, see rank | 9.49% | 7.70% |
Median Rooms | 5.80, see rank | 5.80 | 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.