18837 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 18837 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,453, 100% | 5,578,393 | 132,741,033 |
1 Room | 21, 1.45%, see rank | 1.73% | 1.95% |
2 Rooms | 3, 0.21%, see rank | 1.73% | 2.48% |
3 Rooms | 38, 2.62%, see rank | 7.21% | 9.13% |
4 Rooms | 218, 15.00%, see rank | 12.40% | 16.60% |
5 Rooms | 254, 17.48%, see rank | 16.40% | 20.41% |
6 Rooms | 271, 18.65%, see rank | 21.82% | 18.06% |
7 Rooms | 279, 19.20%, see rank | 14.82% | 12.27% |
8 Rooms | 202, 13.90%, see rank | 10.70% | 8.48% |
9 Rooms or More | 167, 11.49%, see rank | 13.18% | 10.60% |
Median Rooms | 6.20, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 18837 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,507, 100% | 5,563,832 | 131,642,457 |
1 Room | 12, 0.80%, see rank | 1.68% | 1.95% |
2 Rooms | 6, 0.40%, see rank | 1.69% | 2.36% |
3 Rooms | 41, 2.72%, see rank | 7.15% | 8.97% |
4 Rooms | 200, 13.27%, see rank | 12.46% | 16.57% |
5 Rooms | 267, 17.72%, see rank | 16.43% | 20.41% |
6 Rooms | 255, 16.92%, see rank | 21.86% | 18.25% |
7 Rooms | 281, 18.65%, see rank | 14.93% | 12.38% |
8 Rooms | 231, 15.33%, see rank | 10.77% | 8.59% |
9 Rooms or More | 214, 14.20%, see rank | 13.03% | 10.52% |
Median Rooms | 6.40, see rank | 6.00 | 5.50 |
US Census 2000 data
| 18837 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,468, 100% | 5,249,750 | 115,904,641 |
1 Room | 9, 0.61%, see rank | 1.19% | 2.20% |
2 Rooms | 21, 1.43%, see rank | 2.73% | 4.81% |
3 Rooms | 19, 1.29%, see rank | 7.69% | 9.84% |
4 Rooms | 192, 13.08%, see rank | 12.73% | 15.97% |
5 Rooms | 340, 23.16%, see rank | 17.61% | 20.89% |
6 Rooms | 305, 20.78%, see rank | 23.25% | 18.45% |
7 Rooms | 259, 17.64%, see rank | 14.62% | 12.06% |
8 Rooms | 160, 10.90%, see rank | 10.69% | 8.06% |
9 Rooms or More | 163, 11.10%, see rank | 9.49% | 7.70% |
Median Rooms | 6.00, 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.