16948 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16948 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,130, 100% | 5,578,393 | 132,741,033 |
1 Room | 34, 3.01%, see rank | 1.73% | 1.95% |
2 Rooms | 37, 3.27%, see rank | 1.73% | 2.48% |
3 Rooms | 155, 13.72%, see rank | 7.21% | 9.13% |
4 Rooms | 124, 10.97%, see rank | 12.40% | 16.60% |
5 Rooms | 211, 18.67%, see rank | 16.40% | 20.41% |
6 Rooms | 193, 17.08%, see rank | 21.82% | 18.06% |
7 Rooms | 151, 13.36%, see rank | 14.82% | 12.27% |
8 Rooms | 88, 7.79%, see rank | 10.70% | 8.48% |
9 Rooms or More | 137, 12.12%, see rank | 13.18% | 10.60% |
Median Rooms | 5.50, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16948 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,120, 100% | 5,563,832 | 131,642,457 |
1 Room | 41, 3.66%, see rank | 1.68% | 1.95% |
2 Rooms | 51, 4.55%, see rank | 1.69% | 2.36% |
3 Rooms | 148, 13.21%, see rank | 7.15% | 8.97% |
4 Rooms | 184, 16.43%, see rank | 12.46% | 16.57% |
5 Rooms | 200, 17.86%, see rank | 16.43% | 20.41% |
6 Rooms | 182, 16.25%, see rank | 21.86% | 18.25% |
7 Rooms | 120, 10.71%, see rank | 14.93% | 12.38% |
8 Rooms | 88, 7.86%, see rank | 10.77% | 8.59% |
9 Rooms or More | 106, 9.46%, see rank | 13.03% | 10.52% |
Median Rooms | 5.20, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16948 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,162, 100% | 5,249,750 | 115,904,641 |
1 Room | 20, 1.72%, see rank | 1.19% | 2.20% |
2 Rooms | 32, 2.75%, see rank | 2.73% | 4.81% |
3 Rooms | 94, 8.09%, see rank | 7.69% | 9.84% |
4 Rooms | 176, 15.15%, see rank | 12.73% | 15.97% |
5 Rooms | 217, 18.67%, see rank | 17.61% | 20.89% |
6 Rooms | 245, 21.08%, see rank | 23.25% | 18.45% |
7 Rooms | 130, 11.19%, see rank | 14.62% | 12.06% |
8 Rooms | 131, 11.27%, see rank | 10.69% | 8.06% |
9 Rooms or More | 117, 10.07%, 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.