16749 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16749 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,180, 100% | 5,578,393 | 132,741,033 |
1 Room | 24, 1.10%, see rank | 1.73% | 1.95% |
2 Rooms | 102, 4.68%, see rank | 1.73% | 2.48% |
3 Rooms | 237, 10.87%, see rank | 7.21% | 9.13% |
4 Rooms | 362, 16.61%, see rank | 12.40% | 16.60% |
5 Rooms | 319, 14.63%, see rank | 16.40% | 20.41% |
6 Rooms | 372, 17.06%, see rank | 21.82% | 18.06% |
7 Rooms | 313, 14.36%, see rank | 14.82% | 12.27% |
8 Rooms | 250, 11.47%, see rank | 10.70% | 8.48% |
9 Rooms or More | 201, 9.22%, see rank | 13.18% | 10.60% |
Median Rooms | 5.60, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16749 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,313, 100% | 5,563,832 | 131,642,457 |
1 Room | 39, 1.69%, see rank | 1.68% | 1.95% |
2 Rooms | 83, 3.59%, see rank | 1.69% | 2.36% |
3 Rooms | 211, 9.12%, see rank | 7.15% | 8.97% |
4 Rooms | 329, 14.22%, see rank | 12.46% | 16.57% |
5 Rooms | 366, 15.82%, see rank | 16.43% | 20.41% |
6 Rooms | 444, 19.20%, see rank | 21.86% | 18.25% |
7 Rooms | 309, 13.36%, see rank | 14.93% | 12.38% |
8 Rooms | 228, 9.86%, see rank | 10.77% | 8.59% |
9 Rooms or More | 304, 13.14%, see rank | 13.03% | 10.52% |
Median Rooms | 5.80, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16749 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,133, 100% | 5,249,750 | 115,904,641 |
1 Room | 27, 1.27%, see rank | 1.19% | 2.20% |
2 Rooms | 59, 2.77%, see rank | 2.73% | 4.81% |
3 Rooms | 148, 6.94%, see rank | 7.69% | 9.84% |
4 Rooms | 367, 17.21%, see rank | 12.73% | 15.97% |
5 Rooms | 397, 18.61%, see rank | 17.61% | 20.89% |
6 Rooms | 442, 20.72%, see rank | 23.25% | 18.45% |
7 Rooms | 280, 13.13%, see rank | 14.62% | 12.06% |
8 Rooms | 184, 8.63%, see rank | 10.69% | 8.06% |
9 Rooms or More | 229, 10.74%, 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.