17068 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17068 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,728, 100% | 5,578,393 | 132,741,033 |
1 Room | 22, 1.27%, see rank | 1.73% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.73% | 2.48% |
3 Rooms | 133, 7.70%, see rank | 7.21% | 9.13% |
4 Rooms | 103, 5.96%, see rank | 12.40% | 16.60% |
5 Rooms | 434, 25.12%, see rank | 16.40% | 20.41% |
6 Rooms | 350, 20.25%, see rank | 21.82% | 18.06% |
7 Rooms | 327, 18.92%, see rank | 14.82% | 12.27% |
8 Rooms | 212, 12.27%, see rank | 10.70% | 8.48% |
9 Rooms or More | 147, 8.51%, see rank | 13.18% | 10.60% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17068 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,773, 100% | 5,563,832 | 131,642,457 |
1 Room | 8, 0.45%, see rank | 1.68% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.69% | 2.36% |
3 Rooms | 107, 6.03%, see rank | 7.15% | 8.97% |
4 Rooms | 234, 13.20%, see rank | 12.46% | 16.57% |
5 Rooms | 475, 26.79%, see rank | 16.43% | 20.41% |
6 Rooms | 436, 24.59%, see rank | 21.86% | 18.25% |
7 Rooms | 225, 12.69%, see rank | 14.93% | 12.38% |
8 Rooms | 143, 8.07%, see rank | 10.77% | 8.59% |
9 Rooms or More | 145, 8.18%, see rank | 13.03% | 10.52% |
Median Rooms | 5.60, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17068 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,553, 100% | 5,249,750 | 115,904,641 |
1 Room | 9, 0.58%, see rank | 1.19% | 2.20% |
2 Rooms | 23, 1.48%, see rank | 2.73% | 4.81% |
3 Rooms | 63, 4.06%, see rank | 7.69% | 9.84% |
4 Rooms | 236, 15.20%, see rank | 12.73% | 15.97% |
5 Rooms | 414, 26.66%, see rank | 17.61% | 20.89% |
6 Rooms | 314, 20.22%, see rank | 23.25% | 18.45% |
7 Rooms | 228, 14.68%, see rank | 14.62% | 12.06% |
8 Rooms | 152, 9.79%, see rank | 10.69% | 8.06% |
9 Rooms or More | 114, 7.34%, see rank | 9.49% | 7.70% |
Median Rooms | 5.60, 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.