16055 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16055 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,383, 100% | 5,578,393 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.73% | 1.95% |
2 Rooms | 26, 0.77%, see rank | 1.73% | 2.48% |
3 Rooms | 40, 1.18%, see rank | 7.21% | 9.13% |
4 Rooms | 348, 10.29%, see rank | 12.40% | 16.60% |
5 Rooms | 558, 16.49%, see rank | 16.40% | 20.41% |
6 Rooms | 905, 26.75%, see rank | 21.82% | 18.06% |
7 Rooms | 512, 15.13%, see rank | 14.82% | 12.27% |
8 Rooms | 341, 10.08%, see rank | 10.70% | 8.48% |
9 Rooms or More | 653, 19.30%, see rank | 13.18% | 10.60% |
Median Rooms | 6.30, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16055 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,238, 100% | 5,563,832 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.68% | 1.95% |
2 Rooms | 6, 0.19%, see rank | 1.69% | 2.36% |
3 Rooms | 63, 1.95%, see rank | 7.15% | 8.97% |
4 Rooms | 236, 7.29%, see rank | 12.46% | 16.57% |
5 Rooms | 562, 17.36%, see rank | 16.43% | 20.41% |
6 Rooms | 861, 26.59%, see rank | 21.86% | 18.25% |
7 Rooms | 573, 17.70%, see rank | 14.93% | 12.38% |
8 Rooms | 384, 11.86%, see rank | 10.77% | 8.59% |
9 Rooms or More | 553, 17.08%, see rank | 13.03% | 10.52% |
Median Rooms | 6.40, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16055 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,011, 100% | 5,249,750 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.19% | 2.20% |
2 Rooms | 17, 0.56%, see rank | 2.73% | 4.81% |
3 Rooms | 39, 1.30%, see rank | 7.69% | 9.84% |
4 Rooms | 382, 12.69%, see rank | 12.73% | 15.97% |
5 Rooms | 662, 21.99%, see rank | 17.61% | 20.89% |
6 Rooms | 837, 27.80%, see rank | 23.25% | 18.45% |
7 Rooms | 475, 15.78%, see rank | 14.62% | 12.06% |
8 Rooms | 408, 13.55%, see rank | 10.69% | 8.06% |
9 Rooms or More | 191, 6.34%, see rank | 9.49% | 7.70% |
Median Rooms | 6.00, 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.