16239 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16239 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,452, 100% | 5,578,393 | 132,741,033 |
1 Room | 87, 3.55%, see rank | 1.73% | 1.95% |
2 Rooms | 226, 9.22%, see rank | 1.73% | 2.48% |
3 Rooms | 374, 15.25%, see rank | 7.21% | 9.13% |
4 Rooms | 588, 23.98%, see rank | 12.40% | 16.60% |
5 Rooms | 394, 16.07%, see rank | 16.40% | 20.41% |
6 Rooms | 406, 16.56%, see rank | 21.82% | 18.06% |
7 Rooms | 189, 7.71%, see rank | 14.82% | 12.27% |
8 Rooms | 106, 4.32%, see rank | 10.70% | 8.48% |
9 Rooms or More | 82, 3.34%, see rank | 13.18% | 10.60% |
Median Rooms | 4.40, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16239 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,456, 100% | 5,563,832 | 131,642,457 |
1 Room | 123, 5.01%, see rank | 1.68% | 1.95% |
2 Rooms | 242, 9.85%, see rank | 1.69% | 2.36% |
3 Rooms | 421, 17.14%, see rank | 7.15% | 8.97% |
4 Rooms | 518, 21.09%, see rank | 12.46% | 16.57% |
5 Rooms | 404, 16.45%, see rank | 16.43% | 20.41% |
6 Rooms | 330, 13.44%, see rank | 21.86% | 18.25% |
7 Rooms | 210, 8.55%, see rank | 14.93% | 12.38% |
8 Rooms | 130, 5.29%, see rank | 10.77% | 8.59% |
9 Rooms or More | 78, 3.18%, see rank | 13.03% | 10.52% |
Median Rooms | 4.40, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16239 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,302, 100% | 5,249,750 | 115,904,641 |
1 Room | 11, 0.48%, see rank | 1.19% | 2.20% |
2 Rooms | 87, 3.78%, see rank | 2.73% | 4.81% |
3 Rooms | 219, 9.51%, see rank | 7.69% | 9.84% |
4 Rooms | 505, 21.94%, see rank | 12.73% | 15.97% |
5 Rooms | 504, 21.89%, see rank | 17.61% | 20.89% |
6 Rooms | 518, 22.50%, see rank | 23.25% | 18.45% |
7 Rooms | 222, 9.64%, see rank | 14.62% | 12.06% |
8 Rooms | 132, 5.73%, see rank | 10.69% | 8.06% |
9 Rooms or More | 104, 4.52%, see rank | 9.49% | 7.70% |
Median Rooms | 5.20, 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.