16134 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16134 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,816, 100% | 5,578,393 | 132,741,033 |
1 Room | 5, 0.18%, see rank | 1.73% | 1.95% |
2 Rooms | 29, 1.03%, see rank | 1.73% | 2.48% |
3 Rooms | 108, 3.84%, see rank | 7.21% | 9.13% |
4 Rooms | 427, 15.16%, see rank | 12.40% | 16.60% |
5 Rooms | 622, 22.09%, see rank | 16.40% | 20.41% |
6 Rooms | 572, 20.31%, see rank | 21.82% | 18.06% |
7 Rooms | 536, 19.03%, see rank | 14.82% | 12.27% |
8 Rooms | 219, 7.78%, see rank | 10.70% | 8.48% |
9 Rooms or More | 298, 10.58%, see rank | 13.18% | 10.60% |
Median Rooms | 5.90, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16134 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,794, 100% | 5,563,832 | 131,642,457 |
1 Room | 2, 0.07%, see rank | 1.68% | 1.95% |
2 Rooms | 12, 0.43%, see rank | 1.69% | 2.36% |
3 Rooms | 172, 6.16%, see rank | 7.15% | 8.97% |
4 Rooms | 427, 15.28%, see rank | 12.46% | 16.57% |
5 Rooms | 668, 23.91%, see rank | 16.43% | 20.41% |
6 Rooms | 474, 16.96%, see rank | 21.86% | 18.25% |
7 Rooms | 554, 19.83%, see rank | 14.93% | 12.38% |
8 Rooms | 178, 6.37%, see rank | 10.77% | 8.59% |
9 Rooms or More | 307, 10.99%, see rank | 13.03% | 10.52% |
Median Rooms | 5.70, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16134 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,533, 100% | 5,249,750 | 115,904,641 |
1 Room | 5, 0.20%, see rank | 1.19% | 2.20% |
2 Rooms | 18, 0.71%, see rank | 2.73% | 4.81% |
3 Rooms | 142, 5.61%, see rank | 7.69% | 9.84% |
4 Rooms | 564, 22.27%, see rank | 12.73% | 15.97% |
5 Rooms | 639, 25.23%, see rank | 17.61% | 20.89% |
6 Rooms | 540, 21.32%, see rank | 23.25% | 18.45% |
7 Rooms | 288, 11.37%, see rank | 14.62% | 12.06% |
8 Rooms | 190, 7.50%, see rank | 10.69% | 8.06% |
9 Rooms or More | 147, 5.80%, see rank | 9.49% | 7.70% |
Median Rooms | 5.30, 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.