17857 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17857 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,558, 100% | 5,578,393 | 132,741,033 |
1 Room | 5, 0.14%, see rank | 1.73% | 1.95% |
2 Rooms | 53, 1.49%, see rank | 1.73% | 2.48% |
3 Rooms | 209, 5.87%, see rank | 7.21% | 9.13% |
4 Rooms | 496, 13.94%, see rank | 12.40% | 16.60% |
5 Rooms | 620, 17.43%, see rank | 16.40% | 20.41% |
6 Rooms | 831, 23.36%, see rank | 21.82% | 18.06% |
7 Rooms | 656, 18.44%, see rank | 14.82% | 12.27% |
8 Rooms | 341, 9.58%, see rank | 10.70% | 8.48% |
9 Rooms or More | 347, 9.75%, see rank | 13.18% | 10.60% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17857 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,580, 100% | 5,563,832 | 131,642,457 |
1 Room | 6, 0.17%, see rank | 1.68% | 1.95% |
2 Rooms | 26, 0.73%, see rank | 1.69% | 2.36% |
3 Rooms | 246, 6.87%, see rank | 7.15% | 8.97% |
4 Rooms | 480, 13.41%, see rank | 12.46% | 16.57% |
5 Rooms | 651, 18.18%, see rank | 16.43% | 20.41% |
6 Rooms | 810, 22.63%, see rank | 21.86% | 18.25% |
7 Rooms | 705, 19.69%, see rank | 14.93% | 12.38% |
8 Rooms | 286, 7.99%, see rank | 10.77% | 8.59% |
9 Rooms or More | 370, 10.34%, see rank | 13.03% | 10.52% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17857 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,295, 100% | 5,249,750 | 115,904,641 |
1 Room | 12, 0.36%, see rank | 1.19% | 2.20% |
2 Rooms | 57, 1.73%, see rank | 2.73% | 4.81% |
3 Rooms | 189, 5.74%, see rank | 7.69% | 9.84% |
4 Rooms | 441, 13.38%, see rank | 12.73% | 15.97% |
5 Rooms | 688, 20.88%, see rank | 17.61% | 20.89% |
6 Rooms | 832, 25.25%, see rank | 23.25% | 18.45% |
7 Rooms | 501, 15.20%, see rank | 14.62% | 12.06% |
8 Rooms | 328, 9.95%, see rank | 10.69% | 8.06% |
9 Rooms or More | 247, 7.50%, see rank | 9.49% | 7.70% |
Median Rooms | 5.80, 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.