15067 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 15067 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,124, 100% | 5,578,393 | 132,741,033 |
1 Room | 4, 0.36%, see rank | 1.73% | 1.95% |
2 Rooms | 9, 0.80%, see rank | 1.73% | 2.48% |
3 Rooms | 122, 10.85%, see rank | 7.21% | 9.13% |
4 Rooms | 202, 17.97%, see rank | 12.40% | 16.60% |
5 Rooms | 268, 23.84%, see rank | 16.40% | 20.41% |
6 Rooms | 228, 20.28%, see rank | 21.82% | 18.06% |
7 Rooms | 196, 17.44%, see rank | 14.82% | 12.27% |
8 Rooms | 80, 7.12%, see rank | 10.70% | 8.48% |
9 Rooms or More | 15, 1.33%, see rank | 13.18% | 10.60% |
Median Rooms | 5.30, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 15067 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,162, 100% | 5,563,832 | 131,642,457 |
1 Room | 23, 1.98%, see rank | 1.68% | 1.95% |
2 Rooms | 6, 0.52%, see rank | 1.69% | 2.36% |
3 Rooms | 110, 9.47%, see rank | 7.15% | 8.97% |
4 Rooms | 246, 21.17%, see rank | 12.46% | 16.57% |
5 Rooms | 311, 26.76%, see rank | 16.43% | 20.41% |
6 Rooms | 205, 17.64%, see rank | 21.86% | 18.25% |
7 Rooms | 169, 14.54%, see rank | 14.93% | 12.38% |
8 Rooms | 73, 6.28%, see rank | 10.77% | 8.59% |
9 Rooms or More | 19, 1.64%, see rank | 13.03% | 10.52% |
Median Rooms | 5.10, see rank | 6.00 | 5.50 |
US Census 2000 data
| 15067 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,074, 100% | 5,249,750 | 115,904,641 |
1 Room | 12, 1.12%, see rank | 1.19% | 2.20% |
2 Rooms | 4, 0.37%, see rank | 2.73% | 4.81% |
3 Rooms | 47, 4.38%, see rank | 7.69% | 9.84% |
4 Rooms | 231, 21.51%, see rank | 12.73% | 15.97% |
5 Rooms | 354, 32.96%, see rank | 17.61% | 20.89% |
6 Rooms | 242, 22.53%, see rank | 23.25% | 18.45% |
7 Rooms | 84, 7.82%, see rank | 14.62% | 12.06% |
8 Rooms | 63, 5.87%, see rank | 10.69% | 8.06% |
9 Rooms or More | 37, 3.45%, see rank | 9.49% | 7.70% |
Median Rooms | 5.20, 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.