16678 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16678 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,349, 100% | 5,578,393 | 132,741,033 |
1 Room | 5, 0.37%, see rank | 1.73% | 1.95% |
2 Rooms | 15, 1.11%, see rank | 1.73% | 2.48% |
3 Rooms | 56, 4.15%, see rank | 7.21% | 9.13% |
4 Rooms | 136, 10.08%, see rank | 12.40% | 16.60% |
5 Rooms | 232, 17.20%, see rank | 16.40% | 20.41% |
6 Rooms | 375, 27.80%, see rank | 21.82% | 18.06% |
7 Rooms | 235, 17.42%, see rank | 14.82% | 12.27% |
8 Rooms | 155, 11.49%, see rank | 10.70% | 8.48% |
9 Rooms or More | 140, 10.38%, see rank | 13.18% | 10.60% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16678 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,425, 100% | 5,563,832 | 131,642,457 |
1 Room | 9, 0.63%, see rank | 1.68% | 1.95% |
2 Rooms | 12, 0.84%, see rank | 1.69% | 2.36% |
3 Rooms | 49, 3.44%, see rank | 7.15% | 8.97% |
4 Rooms | 179, 12.56%, see rank | 12.46% | 16.57% |
5 Rooms | 262, 18.39%, see rank | 16.43% | 20.41% |
6 Rooms | 359, 25.19%, see rank | 21.86% | 18.25% |
7 Rooms | 251, 17.61%, see rank | 14.93% | 12.38% |
8 Rooms | 170, 11.93%, see rank | 10.77% | 8.59% |
9 Rooms or More | 134, 9.40%, see rank | 13.03% | 10.52% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16678 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,507, 100% | 5,249,750 | 115,904,641 |
1 Room | 8, 0.53%, see rank | 1.19% | 2.20% |
2 Rooms | 10, 0.66%, see rank | 2.73% | 4.81% |
3 Rooms | 54, 3.58%, see rank | 7.69% | 9.84% |
4 Rooms | 208, 13.80%, see rank | 12.73% | 15.97% |
5 Rooms | 418, 27.74%, see rank | 17.61% | 20.89% |
6 Rooms | 355, 23.56%, see rank | 23.25% | 18.45% |
7 Rooms | 210, 13.93%, see rank | 14.62% | 12.06% |
8 Rooms | 126, 8.36%, see rank | 10.69% | 8.06% |
9 Rooms or More | 118, 7.83%, 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.