17243 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17243 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,003, 100% | 5,578,393 | 132,741,033 |
1 Room | 21, 2.09%, see rank | 1.73% | 1.95% |
2 Rooms | 23, 2.29%, see rank | 1.73% | 2.48% |
3 Rooms | 65, 6.48%, see rank | 7.21% | 9.13% |
4 Rooms | 189, 18.84%, see rank | 12.40% | 16.60% |
5 Rooms | 205, 20.44%, see rank | 16.40% | 20.41% |
6 Rooms | 175, 17.45%, see rank | 21.82% | 18.06% |
7 Rooms | 106, 10.57%, see rank | 14.82% | 12.27% |
8 Rooms | 110, 10.97%, see rank | 10.70% | 8.48% |
9 Rooms or More | 109, 10.87%, see rank | 13.18% | 10.60% |
Median Rooms | 5.50, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17243 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,025, 100% | 5,563,832 | 131,642,457 |
1 Room | 36, 3.51%, see rank | 1.68% | 1.95% |
2 Rooms | 34, 3.32%, see rank | 1.69% | 2.36% |
3 Rooms | 67, 6.54%, see rank | 7.15% | 8.97% |
4 Rooms | 185, 18.05%, see rank | 12.46% | 16.57% |
5 Rooms | 167, 16.29%, see rank | 16.43% | 20.41% |
6 Rooms | 212, 20.68%, see rank | 21.86% | 18.25% |
7 Rooms | 126, 12.29%, see rank | 14.93% | 12.38% |
8 Rooms | 102, 9.95%, see rank | 10.77% | 8.59% |
9 Rooms or More | 96, 9.37%, see rank | 13.03% | 10.52% |
Median Rooms | 5.60, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17243 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 985, 100% | 5,249,750 | 115,904,641 |
1 Room | 24, 2.44%, see rank | 1.19% | 2.20% |
2 Rooms | 33, 3.35%, see rank | 2.73% | 4.81% |
3 Rooms | 57, 5.79%, see rank | 7.69% | 9.84% |
4 Rooms | 178, 18.07%, see rank | 12.73% | 15.97% |
5 Rooms | 249, 25.28%, see rank | 17.61% | 20.89% |
6 Rooms | 202, 20.51%, see rank | 23.25% | 18.45% |
7 Rooms | 115, 11.68%, see rank | 14.62% | 12.06% |
8 Rooms | 44, 4.47%, see rank | 10.69% | 8.06% |
9 Rooms or More | 83, 8.43%, see rank | 9.49% | 7.70% |
Median Rooms | 5.30, 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.