16912 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16912 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 841, 100% | 5,578,393 | 132,741,033 |
1 Room | 38, 4.52%, see rank | 1.73% | 1.95% |
2 Rooms | 18, 2.14%, see rank | 1.73% | 2.48% |
3 Rooms | 34, 4.04%, see rank | 7.21% | 9.13% |
4 Rooms | 65, 7.73%, see rank | 12.40% | 16.60% |
5 Rooms | 141, 16.77%, see rank | 16.40% | 20.41% |
6 Rooms | 198, 23.54%, see rank | 21.82% | 18.06% |
7 Rooms | 146, 17.36%, see rank | 14.82% | 12.27% |
8 Rooms | 118, 14.03%, see rank | 10.70% | 8.48% |
9 Rooms or More | 83, 9.87%, see rank | 13.18% | 10.60% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16912 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 899, 100% | 5,563,832 | 131,642,457 |
1 Room | 45, 5.01%, see rank | 1.68% | 1.95% |
2 Rooms | 34, 3.78%, see rank | 1.69% | 2.36% |
3 Rooms | 40, 4.45%, see rank | 7.15% | 8.97% |
4 Rooms | 73, 8.12%, see rank | 12.46% | 16.57% |
5 Rooms | 134, 14.91%, see rank | 16.43% | 20.41% |
6 Rooms | 220, 24.47%, see rank | 21.86% | 18.25% |
7 Rooms | 170, 18.91%, see rank | 14.93% | 12.38% |
8 Rooms | 108, 12.01%, see rank | 10.77% | 8.59% |
9 Rooms or More | 75, 8.34%, see rank | 13.03% | 10.52% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16912 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 796, 100% | 5,249,750 | 115,904,641 |
1 Room | 38, 4.77%, see rank | 1.19% | 2.20% |
2 Rooms | 51, 6.41%, see rank | 2.73% | 4.81% |
3 Rooms | 47, 5.90%, see rank | 7.69% | 9.84% |
4 Rooms | 57, 7.16%, see rank | 12.73% | 15.97% |
5 Rooms | 105, 13.19%, see rank | 17.61% | 20.89% |
6 Rooms | 130, 16.33%, see rank | 23.25% | 18.45% |
7 Rooms | 137, 17.21%, see rank | 14.62% | 12.06% |
8 Rooms | 143, 17.96%, see rank | 10.69% | 8.06% |
9 Rooms or More | 88, 11.06%, see rank | 9.49% | 7.70% |
Median Rooms | 6.30, 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.