15767 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 15767 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 6,668, 100% | 5,578,393 | 132,741,033 |
1 Room | 94, 1.41%, see rank | 1.73% | 1.95% |
2 Rooms | 87, 1.30%, see rank | 1.73% | 2.48% |
3 Rooms | 361, 5.41%, see rank | 7.21% | 9.13% |
4 Rooms | 731, 10.96%, see rank | 12.40% | 16.60% |
5 Rooms | 1,247, 18.70%, see rank | 16.40% | 20.41% |
6 Rooms | 1,539, 23.08%, see rank | 21.82% | 18.06% |
7 Rooms | 1,158, 17.37%, see rank | 14.82% | 12.27% |
8 Rooms | 764, 11.46%, see rank | 10.70% | 8.48% |
9 Rooms or More | 687, 10.30%, see rank | 13.18% | 10.60% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 15767 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 6,677, 100% | 5,563,832 | 131,642,457 |
1 Room | 49, 0.73%, see rank | 1.68% | 1.95% |
2 Rooms | 71, 1.06%, see rank | 1.69% | 2.36% |
3 Rooms | 366, 5.48%, see rank | 7.15% | 8.97% |
4 Rooms | 750, 11.23%, see rank | 12.46% | 16.57% |
5 Rooms | 1,352, 20.25%, see rank | 16.43% | 20.41% |
6 Rooms | 1,409, 21.10%, see rank | 21.86% | 18.25% |
7 Rooms | 1,201, 17.99%, see rank | 14.93% | 12.38% |
8 Rooms | 773, 11.58%, see rank | 10.77% | 8.59% |
9 Rooms or More | 706, 10.57%, see rank | 13.03% | 10.52% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
US Census 2000 data
| 15767 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 6,438, 100% | 5,249,750 | 115,904,641 |
1 Room | 47, 0.73%, see rank | 1.19% | 2.20% |
2 Rooms | 97, 1.51%, see rank | 2.73% | 4.81% |
3 Rooms | 374, 5.81%, see rank | 7.69% | 9.84% |
4 Rooms | 774, 12.02%, see rank | 12.73% | 15.97% |
5 Rooms | 1,351, 20.98%, see rank | 17.61% | 20.89% |
6 Rooms | 1,569, 24.37%, see rank | 23.25% | 18.45% |
7 Rooms | 1,012, 15.72%, see rank | 14.62% | 12.06% |
8 Rooms | 633, 9.83%, see rank | 10.69% | 8.06% |
9 Rooms or More | 581, 9.02%, 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.