18701 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 18701 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,212, 100% | 5,578,393 | 132,741,033 |
1 Room | 125, 10.31%, see rank | 1.73% | 1.95% |
2 Rooms | 216, 17.82%, see rank | 1.73% | 2.48% |
3 Rooms | 278, 22.94%, see rank | 7.21% | 9.13% |
4 Rooms | 265, 21.86%, see rank | 12.40% | 16.60% |
5 Rooms | 75, 6.19%, see rank | 16.40% | 20.41% |
6 Rooms | 165, 13.61%, see rank | 21.82% | 18.06% |
7 Rooms | 50, 4.13%, see rank | 14.82% | 12.27% |
8 Rooms | 6, 0.50%, see rank | 10.70% | 8.48% |
9 Rooms or More | 32, 2.64%, see rank | 13.18% | 10.60% |
Median Rooms | 3.50, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 18701 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,331, 100% | 5,563,832 | 131,642,457 |
1 Room | 193, 14.50%, see rank | 1.68% | 1.95% |
2 Rooms | 226, 16.98%, see rank | 1.69% | 2.36% |
3 Rooms | 284, 21.34%, see rank | 7.15% | 8.97% |
4 Rooms | 305, 22.92%, see rank | 12.46% | 16.57% |
5 Rooms | 64, 4.81%, see rank | 16.43% | 20.41% |
6 Rooms | 162, 12.17%, see rank | 21.86% | 18.25% |
7 Rooms | 40, 3.01%, see rank | 14.93% | 12.38% |
8 Rooms | 20, 1.50%, see rank | 10.77% | 8.59% |
9 Rooms or More | 37, 2.78%, see rank | 13.03% | 10.52% |
Median Rooms | 3.40, see rank | 6.00 | 5.50 |
US Census 2000 data
| 18701 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,694, 100% | 5,249,750 | 115,904,641 |
1 Room | 269, 15.88%, see rank | 1.19% | 2.20% |
2 Rooms | 365, 21.55%, see rank | 2.73% | 4.81% |
3 Rooms | 393, 23.20%, see rank | 7.69% | 9.84% |
4 Rooms | 291, 17.18%, see rank | 12.73% | 15.97% |
5 Rooms | 195, 11.51%, see rank | 17.61% | 20.89% |
6 Rooms | 107, 6.32%, see rank | 23.25% | 18.45% |
7 Rooms | 19, 1.12%, see rank | 14.62% | 12.06% |
8 Rooms | 13, 0.77%, see rank | 10.69% | 8.06% |
9 Rooms or More | 42, 2.48%, see rank | 9.49% | 7.70% |
Median Rooms | 3.00, 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.