17372 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17372 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,702, 100% | 5,578,393 | 132,741,033 |
1 Room | 10, 0.59%, see rank | 1.73% | 1.95% |
2 Rooms | 15, 0.88%, see rank | 1.73% | 2.48% |
3 Rooms | 53, 3.11%, see rank | 7.21% | 9.13% |
4 Rooms | 185, 10.87%, see rank | 12.40% | 16.60% |
5 Rooms | 324, 19.04%, see rank | 16.40% | 20.41% |
6 Rooms | 476, 27.97%, see rank | 21.82% | 18.06% |
7 Rooms | 219, 12.87%, see rank | 14.82% | 12.27% |
8 Rooms | 196, 11.52%, see rank | 10.70% | 8.48% |
9 Rooms or More | 224, 13.16%, see rank | 13.18% | 10.60% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17372 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,676, 100% | 5,563,832 | 131,642,457 |
1 Room | 13, 0.78%, see rank | 1.68% | 1.95% |
2 Rooms | 3, 0.18%, see rank | 1.69% | 2.36% |
3 Rooms | 50, 2.98%, see rank | 7.15% | 8.97% |
4 Rooms | 183, 10.92%, see rank | 12.46% | 16.57% |
5 Rooms | 345, 20.58%, see rank | 16.43% | 20.41% |
6 Rooms | 392, 23.39%, see rank | 21.86% | 18.25% |
7 Rooms | 302, 18.02%, see rank | 14.93% | 12.38% |
8 Rooms | 158, 9.43%, see rank | 10.77% | 8.59% |
9 Rooms or More | 230, 13.72%, see rank | 13.03% | 10.52% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17372 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,418, 100% | 5,249,750 | 115,904,641 |
1 Room | 5, 0.35%, see rank | 1.19% | 2.20% |
2 Rooms | 7, 0.49%, see rank | 2.73% | 4.81% |
3 Rooms | 71, 5.01%, see rank | 7.69% | 9.84% |
4 Rooms | 148, 10.44%, see rank | 12.73% | 15.97% |
5 Rooms | 339, 23.91%, see rank | 17.61% | 20.89% |
6 Rooms | 362, 25.53%, see rank | 23.25% | 18.45% |
7 Rooms | 209, 14.74%, see rank | 14.62% | 12.06% |
8 Rooms | 146, 10.30%, see rank | 10.69% | 8.06% |
9 Rooms or More | 131, 9.24%, 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.