15243 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 15243 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 5,762, 100% | 5,578,393 | 132,741,033 |
1 Room | 69, 1.20%, see rank | 1.73% | 1.95% |
2 Rooms | 109, 1.89%, see rank | 1.73% | 2.48% |
3 Rooms | 255, 4.43%, see rank | 7.21% | 9.13% |
4 Rooms | 434, 7.53%, see rank | 12.40% | 16.60% |
5 Rooms | 774, 13.43%, see rank | 16.40% | 20.41% |
6 Rooms | 1,034, 17.95%, see rank | 21.82% | 18.06% |
7 Rooms | 1,179, 20.46%, see rank | 14.82% | 12.27% |
8 Rooms | 977, 16.96%, see rank | 10.70% | 8.48% |
9 Rooms or More | 931, 16.16%, see rank | 13.18% | 10.60% |
Median Rooms | 6.70, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 15243 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 5,713, 100% | 5,563,832 | 131,642,457 |
1 Room | 59, 1.03%, see rank | 1.68% | 1.95% |
2 Rooms | 65, 1.14%, see rank | 1.69% | 2.36% |
3 Rooms | 239, 4.18%, see rank | 7.15% | 8.97% |
4 Rooms | 413, 7.23%, see rank | 12.46% | 16.57% |
5 Rooms | 776, 13.58%, see rank | 16.43% | 20.41% |
6 Rooms | 1,099, 19.24%, see rank | 21.86% | 18.25% |
7 Rooms | 1,121, 19.62%, see rank | 14.93% | 12.38% |
8 Rooms | 1,081, 18.92%, see rank | 10.77% | 8.59% |
9 Rooms or More | 860, 15.05%, see rank | 13.03% | 10.52% |
Median Rooms | 6.70, see rank | 6.00 | 5.50 |
US Census 2000 data
| 15243 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 5,395, 100% | 5,249,750 | 115,904,641 |
1 Room | 24, 0.44%, see rank | 1.19% | 2.20% |
2 Rooms | 45, 0.83%, see rank | 2.73% | 4.81% |
3 Rooms | 114, 2.11%, see rank | 7.69% | 9.84% |
4 Rooms | 269, 4.99%, see rank | 12.73% | 15.97% |
5 Rooms | 651, 12.07%, see rank | 17.61% | 20.89% |
6 Rooms | 1,450, 26.88%, see rank | 23.25% | 18.45% |
7 Rooms | 1,108, 20.54%, see rank | 14.62% | 12.06% |
8 Rooms | 935, 17.33%, see rank | 10.69% | 8.06% |
9 Rooms or More | 799, 14.81%, see rank | 9.49% | 7.70% |
Median Rooms | 6.60, 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.