15473 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 15473 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,949, 100% | 5,578,393 | 132,741,033 |
1 Room | 30, 1.54%, see rank | 1.73% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.73% | 2.48% |
3 Rooms | 53, 2.72%, see rank | 7.21% | 9.13% |
4 Rooms | 315, 16.16%, see rank | 12.40% | 16.60% |
5 Rooms | 403, 20.68%, see rank | 16.40% | 20.41% |
6 Rooms | 428, 21.96%, see rank | 21.82% | 18.06% |
7 Rooms | 311, 15.96%, see rank | 14.82% | 12.27% |
8 Rooms | 212, 10.88%, see rank | 10.70% | 8.48% |
9 Rooms or More | 197, 10.11%, see rank | 13.18% | 10.60% |
Median Rooms | 5.90, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 15473 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,859, 100% | 5,563,832 | 131,642,457 |
1 Room | 13, 0.70%, see rank | 1.68% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.69% | 2.36% |
3 Rooms | 75, 4.03%, see rank | 7.15% | 8.97% |
4 Rooms | 333, 17.91%, see rank | 12.46% | 16.57% |
5 Rooms | 402, 21.62%, see rank | 16.43% | 20.41% |
6 Rooms | 337, 18.13%, see rank | 21.86% | 18.25% |
7 Rooms | 343, 18.45%, see rank | 14.93% | 12.38% |
8 Rooms | 196, 10.54%, see rank | 10.77% | 8.59% |
9 Rooms or More | 160, 8.61%, see rank | 13.03% | 10.52% |
Median Rooms | 5.80, see rank | 6.00 | 5.50 |
US Census 2000 data
| 15473 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,608, 100% | 5,249,750 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.19% | 2.20% |
2 Rooms | 7, 0.44%, see rank | 2.73% | 4.81% |
3 Rooms | 51, 3.17%, see rank | 7.69% | 9.84% |
4 Rooms | 285, 17.72%, see rank | 12.73% | 15.97% |
5 Rooms | 373, 23.20%, see rank | 17.61% | 20.89% |
6 Rooms | 405, 25.19%, see rank | 23.25% | 18.45% |
7 Rooms | 251, 15.61%, see rank | 14.62% | 12.06% |
8 Rooms | 116, 7.21%, see rank | 10.69% | 8.06% |
9 Rooms or More | 120, 7.46%, 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.