18326 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 18326 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,163, 100% | 5,578,393 | 132,741,033 |
1 Room | 75, 3.47%, see rank | 1.73% | 1.95% |
2 Rooms | 10, 0.46%, see rank | 1.73% | 2.48% |
3 Rooms | 181, 8.37%, see rank | 7.21% | 9.13% |
4 Rooms | 176, 8.14%, see rank | 12.40% | 16.60% |
5 Rooms | 360, 16.64%, see rank | 16.40% | 20.41% |
6 Rooms | 502, 23.21%, see rank | 21.82% | 18.06% |
7 Rooms | 181, 8.37%, see rank | 14.82% | 12.27% |
8 Rooms | 282, 13.04%, see rank | 10.70% | 8.48% |
9 Rooms or More | 396, 18.31%, see rank | 13.18% | 10.60% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 18326 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,201, 100% | 5,563,832 | 131,642,457 |
1 Room | 28, 1.27%, see rank | 1.68% | 1.95% |
2 Rooms | 30, 1.36%, see rank | 1.69% | 2.36% |
3 Rooms | 265, 12.04%, see rank | 7.15% | 8.97% |
4 Rooms | 186, 8.45%, see rank | 12.46% | 16.57% |
5 Rooms | 303, 13.77%, see rank | 16.43% | 20.41% |
6 Rooms | 584, 26.53%, see rank | 21.86% | 18.25% |
7 Rooms | 187, 8.50%, see rank | 14.93% | 12.38% |
8 Rooms | 205, 9.31%, see rank | 10.77% | 8.59% |
9 Rooms or More | 413, 18.76%, see rank | 13.03% | 10.52% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
US Census 2000 data
| 18326 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,161, 100% | 5,249,750 | 115,904,641 |
1 Room | 9, 0.42%, see rank | 1.19% | 2.20% |
2 Rooms | 35, 1.62%, see rank | 2.73% | 4.81% |
3 Rooms | 85, 3.93%, see rank | 7.69% | 9.84% |
4 Rooms | 286, 13.23%, see rank | 12.73% | 15.97% |
5 Rooms | 328, 15.18%, see rank | 17.61% | 20.89% |
6 Rooms | 476, 22.03%, see rank | 23.25% | 18.45% |
7 Rooms | 425, 19.67%, see rank | 14.62% | 12.06% |
8 Rooms | 243, 11.24%, see rank | 10.69% | 8.06% |
9 Rooms or More | 274, 12.68%, see rank | 9.49% | 7.70% |
Median Rooms | 6.20, 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.