15670 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 15670 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,676, 100% | 5,578,393 | 132,741,033 |
1 Room | 3, 0.18%, see rank | 1.73% | 1.95% |
2 Rooms | 76, 4.53%, see rank | 1.73% | 2.48% |
3 Rooms | 68, 4.06%, see rank | 7.21% | 9.13% |
4 Rooms | 155, 9.25%, see rank | 12.40% | 16.60% |
5 Rooms | 223, 13.31%, see rank | 16.40% | 20.41% |
6 Rooms | 444, 26.49%, see rank | 21.82% | 18.06% |
7 Rooms | 306, 18.26%, see rank | 14.82% | 12.27% |
8 Rooms | 149, 8.89%, see rank | 10.70% | 8.48% |
9 Rooms or More | 252, 15.04%, see rank | 13.18% | 10.60% |
Median Rooms | 6.20, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 15670 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,537, 100% | 5,563,832 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.68% | 1.95% |
2 Rooms | 70, 4.55%, see rank | 1.69% | 2.36% |
3 Rooms | 121, 7.87%, see rank | 7.15% | 8.97% |
4 Rooms | 240, 15.61%, see rank | 12.46% | 16.57% |
5 Rooms | 255, 16.59%, see rank | 16.43% | 20.41% |
6 Rooms | 325, 21.15%, see rank | 21.86% | 18.25% |
7 Rooms | 277, 18.02%, see rank | 14.93% | 12.38% |
8 Rooms | 110, 7.16%, see rank | 10.77% | 8.59% |
9 Rooms or More | 139, 9.04%, see rank | 13.03% | 10.52% |
Median Rooms | 5.80, see rank | 6.00 | 5.50 |
US Census 2000 data
| 15670 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,726, 100% | 5,249,750 | 115,904,641 |
1 Room | 13, 0.75%, see rank | 1.19% | 2.20% |
2 Rooms | 2, 0.12%, see rank | 2.73% | 4.81% |
3 Rooms | 60, 3.48%, see rank | 7.69% | 9.84% |
4 Rooms | 280, 16.22%, see rank | 12.73% | 15.97% |
5 Rooms | 417, 24.16%, see rank | 17.61% | 20.89% |
6 Rooms | 410, 23.75%, see rank | 23.25% | 18.45% |
7 Rooms | 244, 14.14%, see rank | 14.62% | 12.06% |
8 Rooms | 197, 11.41%, see rank | 10.69% | 8.06% |
9 Rooms or More | 103, 5.97%, see rank | 9.49% | 7.70% |
Median Rooms | 5.70, 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.