17562 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17562 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,388, 100% | 5,578,393 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.73% | 1.95% |
2 Rooms | 17, 1.22%, see rank | 1.73% | 2.48% |
3 Rooms | 76, 5.48%, see rank | 7.21% | 9.13% |
4 Rooms | 89, 6.41%, see rank | 12.40% | 16.60% |
5 Rooms | 227, 16.35%, see rank | 16.40% | 20.41% |
6 Rooms | 316, 22.77%, see rank | 21.82% | 18.06% |
7 Rooms | 247, 17.80%, see rank | 14.82% | 12.27% |
8 Rooms | 214, 15.42%, see rank | 10.70% | 8.48% |
9 Rooms or More | 202, 14.55%, see rank | 13.18% | 10.60% |
Median Rooms | 6.40, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17562 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,519, 100% | 5,563,832 | 131,642,457 |
1 Room | 36, 2.37%, see rank | 1.68% | 1.95% |
2 Rooms | 8, 0.53%, see rank | 1.69% | 2.36% |
3 Rooms | 49, 3.23%, see rank | 7.15% | 8.97% |
4 Rooms | 110, 7.24%, see rank | 12.46% | 16.57% |
5 Rooms | 281, 18.50%, see rank | 16.43% | 20.41% |
6 Rooms | 302, 19.88%, see rank | 21.86% | 18.25% |
7 Rooms | 276, 18.17%, see rank | 14.93% | 12.38% |
8 Rooms | 186, 12.24%, see rank | 10.77% | 8.59% |
9 Rooms or More | 271, 17.84%, see rank | 13.03% | 10.52% |
Median Rooms | 6.40, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17562 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,159, 100% | 5,249,750 | 115,904,641 |
1 Room | 5, 0.43%, see rank | 1.19% | 2.20% |
2 Rooms | 12, 1.04%, see rank | 2.73% | 4.81% |
3 Rooms | 37, 3.19%, see rank | 7.69% | 9.84% |
4 Rooms | 125, 10.79%, see rank | 12.73% | 15.97% |
5 Rooms | 190, 16.39%, see rank | 17.61% | 20.89% |
6 Rooms | 173, 14.93%, see rank | 23.25% | 18.45% |
7 Rooms | 241, 20.79%, see rank | 14.62% | 12.06% |
8 Rooms | 179, 15.44%, see rank | 10.69% | 8.06% |
9 Rooms or More | 197, 17.00%, see rank | 9.49% | 7.70% |
Median Rooms | 6.70, 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.