15126 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 15126 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,090, 100% | 5,578,393 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.73% | 1.95% |
2 Rooms | 107, 3.46%, see rank | 1.73% | 2.48% |
3 Rooms | 163, 5.28%, see rank | 7.21% | 9.13% |
4 Rooms | 381, 12.33%, see rank | 12.40% | 16.60% |
5 Rooms | 571, 18.48%, see rank | 16.40% | 20.41% |
6 Rooms | 803, 25.99%, see rank | 21.82% | 18.06% |
7 Rooms | 540, 17.48%, see rank | 14.82% | 12.27% |
8 Rooms | 236, 7.64%, see rank | 10.70% | 8.48% |
9 Rooms or More | 289, 9.35%, see rank | 13.18% | 10.60% |
Median Rooms | 5.90, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 15126 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,127, 100% | 5,563,832 | 131,642,457 |
1 Room | 14, 0.45%, see rank | 1.68% | 1.95% |
2 Rooms | 68, 2.17%, see rank | 1.69% | 2.36% |
3 Rooms | 84, 2.69%, see rank | 7.15% | 8.97% |
4 Rooms | 456, 14.58%, see rank | 12.46% | 16.57% |
5 Rooms | 473, 15.13%, see rank | 16.43% | 20.41% |
6 Rooms | 628, 20.08%, see rank | 21.86% | 18.25% |
7 Rooms | 656, 20.98%, see rank | 14.93% | 12.38% |
8 Rooms | 483, 15.45%, see rank | 10.77% | 8.59% |
9 Rooms or More | 265, 8.47%, see rank | 13.03% | 10.52% |
Median Rooms | 6.20, see rank | 6.00 | 5.50 |
US Census 2000 data
| 15126 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,766, 100% | 5,249,750 | 115,904,641 |
1 Room | 7, 0.25%, see rank | 1.19% | 2.20% |
2 Rooms | 21, 0.76%, see rank | 2.73% | 4.81% |
3 Rooms | 121, 4.37%, see rank | 7.69% | 9.84% |
4 Rooms | 487, 17.61%, see rank | 12.73% | 15.97% |
5 Rooms | 620, 22.42%, see rank | 17.61% | 20.89% |
6 Rooms | 623, 22.52%, see rank | 23.25% | 18.45% |
7 Rooms | 372, 13.45%, see rank | 14.62% | 12.06% |
8 Rooms | 279, 10.09%, see rank | 10.69% | 8.06% |
9 Rooms or More | 236, 8.53%, see rank | 9.49% | 7.70% |
Median Rooms | 5.70, 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.