17935 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17935 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 871, 100% | 5,578,393 | 132,741,033 |
1 Room | 10, 1.15%, see rank | 1.73% | 1.95% |
2 Rooms | 3, 0.34%, see rank | 1.73% | 2.48% |
3 Rooms | 6, 0.69%, see rank | 7.21% | 9.13% |
4 Rooms | 40, 4.59%, see rank | 12.40% | 16.60% |
5 Rooms | 181, 20.78%, see rank | 16.40% | 20.41% |
6 Rooms | 261, 29.97%, see rank | 21.82% | 18.06% |
7 Rooms | 186, 21.35%, see rank | 14.82% | 12.27% |
8 Rooms | 100, 11.48%, see rank | 10.70% | 8.48% |
9 Rooms or More | 84, 9.64%, see rank | 13.18% | 10.60% |
Median Rooms | 6.20, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17935 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 961, 100% | 5,563,832 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.68% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.69% | 2.36% |
3 Rooms | 4, 0.42%, see rank | 7.15% | 8.97% |
4 Rooms | 86, 8.95%, see rank | 12.46% | 16.57% |
5 Rooms | 214, 22.27%, see rank | 16.43% | 20.41% |
6 Rooms | 223, 23.20%, see rank | 21.86% | 18.25% |
7 Rooms | 203, 21.12%, see rank | 14.93% | 12.38% |
8 Rooms | 121, 12.59%, see rank | 10.77% | 8.59% |
9 Rooms or More | 110, 11.45%, see rank | 13.03% | 10.52% |
Median Rooms | 6.30, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17935 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,035, 100% | 5,249,750 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.19% | 2.20% |
2 Rooms | 37, 3.57%, see rank | 2.73% | 4.81% |
3 Rooms | 21, 2.03%, see rank | 7.69% | 9.84% |
4 Rooms | 63, 6.09%, see rank | 12.73% | 15.97% |
5 Rooms | 174, 16.81%, see rank | 17.61% | 20.89% |
6 Rooms | 254, 24.54%, see rank | 23.25% | 18.45% |
7 Rooms | 215, 20.77%, see rank | 14.62% | 12.06% |
8 Rooms | 116, 11.21%, see rank | 10.69% | 8.06% |
9 Rooms or More | 155, 14.98%, see rank | 9.49% | 7.70% |
Median Rooms | 6.40, 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.