17094 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17094 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,160, 100% | 5,578,393 | 132,741,033 |
1 Room | 4, 0.34%, see rank | 1.73% | 1.95% |
2 Rooms | 33, 2.84%, see rank | 1.73% | 2.48% |
3 Rooms | 66, 5.69%, see rank | 7.21% | 9.13% |
4 Rooms | 132, 11.38%, see rank | 12.40% | 16.60% |
5 Rooms | 264, 22.76%, see rank | 16.40% | 20.41% |
6 Rooms | 253, 21.81%, see rank | 21.82% | 18.06% |
7 Rooms | 165, 14.22%, see rank | 14.82% | 12.27% |
8 Rooms | 124, 10.69%, see rank | 10.70% | 8.48% |
9 Rooms or More | 119, 10.26%, see rank | 13.18% | 10.60% |
Median Rooms | 5.80, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17094 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,133, 100% | 5,563,832 | 131,642,457 |
1 Room | 5, 0.44%, see rank | 1.68% | 1.95% |
2 Rooms | 27, 2.38%, see rank | 1.69% | 2.36% |
3 Rooms | 66, 5.83%, see rank | 7.15% | 8.97% |
4 Rooms | 179, 15.80%, see rank | 12.46% | 16.57% |
5 Rooms | 210, 18.53%, see rank | 16.43% | 20.41% |
6 Rooms | 245, 21.62%, see rank | 21.86% | 18.25% |
7 Rooms | 191, 16.86%, see rank | 14.93% | 12.38% |
8 Rooms | 94, 8.30%, see rank | 10.77% | 8.59% |
9 Rooms or More | 116, 10.24%, see rank | 13.03% | 10.52% |
Median Rooms | 5.80, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17094 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,009, 100% | 5,249,750 | 115,904,641 |
1 Room | 12, 1.19%, see rank | 1.19% | 2.20% |
2 Rooms | 15, 1.49%, see rank | 2.73% | 4.81% |
3 Rooms | 61, 6.05%, see rank | 7.69% | 9.84% |
4 Rooms | 151, 14.97%, see rank | 12.73% | 15.97% |
5 Rooms | 252, 24.98%, see rank | 17.61% | 20.89% |
6 Rooms | 196, 19.43%, see rank | 23.25% | 18.45% |
7 Rooms | 149, 14.77%, see rank | 14.62% | 12.06% |
8 Rooms | 88, 8.72%, see rank | 10.69% | 8.06% |
9 Rooms or More | 85, 8.42%, 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.