15222 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 15222 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,147, 100% | 5,578,393 | 132,741,033 |
1 Room | 177, 8.24%, see rank | 1.73% | 1.95% |
2 Rooms | 470, 21.89%, see rank | 1.73% | 2.48% |
3 Rooms | 646, 30.09%, see rank | 7.21% | 9.13% |
4 Rooms | 464, 21.61%, see rank | 12.40% | 16.60% |
5 Rooms | 228, 10.62%, see rank | 16.40% | 20.41% |
6 Rooms | 101, 4.70%, see rank | 21.82% | 18.06% |
7 Rooms | 32, 1.49%, see rank | 14.82% | 12.27% |
8 Rooms | 0, 0.00%, see rank | 10.70% | 8.48% |
9 Rooms or More | 29, 1.35%, see rank | 13.18% | 10.60% |
Median Rooms | 3.20, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 15222 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,867, 100% | 5,563,832 | 131,642,457 |
1 Room | 248, 13.28%, see rank | 1.68% | 1.95% |
2 Rooms | 255, 13.66%, see rank | 1.69% | 2.36% |
3 Rooms | 595, 31.87%, see rank | 7.15% | 8.97% |
4 Rooms | 347, 18.59%, see rank | 12.46% | 16.57% |
5 Rooms | 234, 12.53%, see rank | 16.43% | 20.41% |
6 Rooms | 103, 5.52%, see rank | 21.86% | 18.25% |
7 Rooms | 41, 2.20%, see rank | 14.93% | 12.38% |
8 Rooms | 33, 1.77%, see rank | 10.77% | 8.59% |
9 Rooms or More | 11, 0.59%, see rank | 13.03% | 10.52% |
Median Rooms | 3.20, see rank | 6.00 | 5.50 |
US Census 2000 data
| 15222 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,053, 100% | 5,249,750 | 115,904,641 |
1 Room | 149, 14.15%, see rank | 1.19% | 2.20% |
2 Rooms | 173, 16.43%, see rank | 2.73% | 4.81% |
3 Rooms | 355, 33.71%, see rank | 7.69% | 9.84% |
4 Rooms | 205, 19.47%, see rank | 12.73% | 15.97% |
5 Rooms | 102, 9.69%, see rank | 17.61% | 20.89% |
6 Rooms | 53, 5.03%, see rank | 23.25% | 18.45% |
7 Rooms | 0, 0.00%, see rank | 14.62% | 12.06% |
8 Rooms | 11, 1.04%, see rank | 10.69% | 8.06% |
9 Rooms or More | 5, 0.47%, see rank | 9.49% | 7.70% |
Median Rooms | 3.10, 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.