15902 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 15902 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 6,557, 100% | 5,578,393 | 132,741,033 |
1 Room | 24, 0.37%, see rank | 1.73% | 1.95% |
2 Rooms | 42, 0.64%, see rank | 1.73% | 2.48% |
3 Rooms | 270, 4.12%, see rank | 7.21% | 9.13% |
4 Rooms | 861, 13.13%, see rank | 12.40% | 16.60% |
5 Rooms | 1,225, 18.68%, see rank | 16.40% | 20.41% |
6 Rooms | 1,728, 26.35%, see rank | 21.82% | 18.06% |
7 Rooms | 1,118, 17.05%, see rank | 14.82% | 12.27% |
8 Rooms | 470, 7.17%, see rank | 10.70% | 8.48% |
9 Rooms or More | 819, 12.49%, see rank | 13.18% | 10.60% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 15902 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 6,500, 100% | 5,563,832 | 131,642,457 |
1 Room | 62, 0.95%, see rank | 1.68% | 1.95% |
2 Rooms | 36, 0.55%, see rank | 1.69% | 2.36% |
3 Rooms | 353, 5.43%, see rank | 7.15% | 8.97% |
4 Rooms | 885, 13.62%, see rank | 12.46% | 16.57% |
5 Rooms | 1,272, 19.57%, see rank | 16.43% | 20.41% |
6 Rooms | 1,773, 27.28%, see rank | 21.86% | 18.25% |
7 Rooms | 900, 13.85%, see rank | 14.93% | 12.38% |
8 Rooms | 572, 8.80%, see rank | 10.77% | 8.59% |
9 Rooms or More | 647, 9.95%, see rank | 13.03% | 10.52% |
Median Rooms | 5.90, see rank | 6.00 | 5.50 |
US Census 2000 data
| 15902 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 6,537, 100% | 5,249,750 | 115,904,641 |
1 Room | 35, 0.54%, see rank | 1.19% | 2.20% |
2 Rooms | 39, 0.60%, see rank | 2.73% | 4.81% |
3 Rooms | 405, 6.20%, see rank | 7.69% | 9.84% |
4 Rooms | 1,051, 16.08%, see rank | 12.73% | 15.97% |
5 Rooms | 1,229, 18.80%, see rank | 17.61% | 20.89% |
6 Rooms | 2,133, 32.63%, see rank | 23.25% | 18.45% |
7 Rooms | 768, 11.75%, see rank | 14.62% | 12.06% |
8 Rooms | 454, 6.95%, see rank | 10.69% | 8.06% |
9 Rooms or More | 423, 6.47%, 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.