17028 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17028 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,452, 100% | 5,578,393 | 132,741,033 |
1 Room | 16, 1.10%, see rank | 1.73% | 1.95% |
2 Rooms | 33, 2.27%, see rank | 1.73% | 2.48% |
3 Rooms | 27, 1.86%, see rank | 7.21% | 9.13% |
4 Rooms | 160, 11.02%, see rank | 12.40% | 16.60% |
5 Rooms | 308, 21.21%, see rank | 16.40% | 20.41% |
6 Rooms | 242, 16.67%, see rank | 21.82% | 18.06% |
7 Rooms | 222, 15.29%, see rank | 14.82% | 12.27% |
8 Rooms | 283, 19.49%, see rank | 10.70% | 8.48% |
9 Rooms or More | 161, 11.09%, see rank | 13.18% | 10.60% |
Median Rooms | 6.30, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17028 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,493, 100% | 5,563,832 | 131,642,457 |
1 Room | 16, 1.07%, see rank | 1.68% | 1.95% |
2 Rooms | 27, 1.81%, see rank | 1.69% | 2.36% |
3 Rooms | 84, 5.63%, see rank | 7.15% | 8.97% |
4 Rooms | 163, 10.92%, see rank | 12.46% | 16.57% |
5 Rooms | 240, 16.08%, see rank | 16.43% | 20.41% |
6 Rooms | 373, 24.98%, see rank | 21.86% | 18.25% |
7 Rooms | 211, 14.13%, see rank | 14.93% | 12.38% |
8 Rooms | 236, 15.81%, see rank | 10.77% | 8.59% |
9 Rooms or More | 143, 9.58%, see rank | 13.03% | 10.52% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17028 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,477, 100% | 5,249,750 | 115,904,641 |
1 Room | 24, 1.62%, see rank | 1.19% | 2.20% |
2 Rooms | 23, 1.56%, see rank | 2.73% | 4.81% |
3 Rooms | 60, 4.06%, see rank | 7.69% | 9.84% |
4 Rooms | 179, 12.12%, see rank | 12.73% | 15.97% |
5 Rooms | 280, 18.96%, see rank | 17.61% | 20.89% |
6 Rooms | 369, 24.98%, see rank | 23.25% | 18.45% |
7 Rooms | 261, 17.67%, see rank | 14.62% | 12.06% |
8 Rooms | 185, 12.53%, see rank | 10.69% | 8.06% |
9 Rooms or More | 96, 6.50%, see rank | 9.49% | 7.70% |
Median Rooms | 6.00, 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.