18853 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 18853 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,106, 100% | 5,578,393 | 132,741,033 |
1 Room | 118, 5.60%, see rank | 1.73% | 1.95% |
2 Rooms | 9, 0.43%, see rank | 1.73% | 2.48% |
3 Rooms | 66, 3.13%, see rank | 7.21% | 9.13% |
4 Rooms | 191, 9.07%, see rank | 12.40% | 16.60% |
5 Rooms | 339, 16.10%, see rank | 16.40% | 20.41% |
6 Rooms | 367, 17.43%, see rank | 21.82% | 18.06% |
7 Rooms | 353, 16.76%, see rank | 14.82% | 12.27% |
8 Rooms | 257, 12.20%, see rank | 10.70% | 8.48% |
9 Rooms or More | 406, 19.28%, see rank | 13.18% | 10.60% |
Median Rooms | 6.40, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 18853 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,146, 100% | 5,563,832 | 131,642,457 |
1 Room | 137, 6.38%, see rank | 1.68% | 1.95% |
2 Rooms | 8, 0.37%, see rank | 1.69% | 2.36% |
3 Rooms | 23, 1.07%, see rank | 7.15% | 8.97% |
4 Rooms | 134, 6.24%, see rank | 12.46% | 16.57% |
5 Rooms | 297, 13.84%, see rank | 16.43% | 20.41% |
6 Rooms | 426, 19.85%, see rank | 21.86% | 18.25% |
7 Rooms | 374, 17.43%, see rank | 14.93% | 12.38% |
8 Rooms | 307, 14.31%, see rank | 10.77% | 8.59% |
9 Rooms or More | 440, 20.50%, see rank | 13.03% | 10.52% |
Median Rooms | 6.60, see rank | 6.00 | 5.50 |
US Census 2000 data
| 18853 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,927, 100% | 5,249,750 | 115,904,641 |
1 Room | 12, 0.62%, see rank | 1.19% | 2.20% |
2 Rooms | 37, 1.92%, see rank | 2.73% | 4.81% |
3 Rooms | 114, 5.92%, see rank | 7.69% | 9.84% |
4 Rooms | 243, 12.61%, see rank | 12.73% | 15.97% |
5 Rooms | 375, 19.46%, see rank | 17.61% | 20.89% |
6 Rooms | 408, 21.17%, see rank | 23.25% | 18.45% |
7 Rooms | 314, 16.29%, see rank | 14.62% | 12.06% |
8 Rooms | 197, 10.22%, see rank | 10.69% | 8.06% |
9 Rooms or More | 227, 11.78%, see rank | 9.49% | 7.70% |
Median Rooms | 5.90, 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.