16123 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16123 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,171, 100% | 5,578,393 | 132,741,033 |
1 Room | 15, 1.28%, see rank | 1.73% | 1.95% |
2 Rooms | 17, 1.45%, see rank | 1.73% | 2.48% |
3 Rooms | 2, 0.17%, see rank | 7.21% | 9.13% |
4 Rooms | 131, 11.19%, see rank | 12.40% | 16.60% |
5 Rooms | 206, 17.59%, see rank | 16.40% | 20.41% |
6 Rooms | 316, 26.99%, see rank | 21.82% | 18.06% |
7 Rooms | 140, 11.96%, see rank | 14.82% | 12.27% |
8 Rooms | 120, 10.25%, see rank | 10.70% | 8.48% |
9 Rooms or More | 224, 19.13%, see rank | 13.18% | 10.60% |
Median Rooms | 6.20, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16123 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 993, 100% | 5,563,832 | 131,642,457 |
1 Room | 16, 1.61%, see rank | 1.68% | 1.95% |
2 Rooms | 14, 1.41%, see rank | 1.69% | 2.36% |
3 Rooms | 0, 0.00%, see rank | 7.15% | 8.97% |
4 Rooms | 114, 11.48%, see rank | 12.46% | 16.57% |
5 Rooms | 174, 17.52%, see rank | 16.43% | 20.41% |
6 Rooms | 271, 27.29%, see rank | 21.86% | 18.25% |
7 Rooms | 128, 12.89%, see rank | 14.93% | 12.38% |
8 Rooms | 119, 11.98%, see rank | 10.77% | 8.59% |
9 Rooms or More | 157, 15.81%, see rank | 13.03% | 10.52% |
Median Rooms | 6.20, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16123 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 956, 100% | 5,249,750 | 115,904,641 |
1 Room | 4, 0.42%, see rank | 1.19% | 2.20% |
2 Rooms | 6, 0.63%, see rank | 2.73% | 4.81% |
3 Rooms | 51, 5.33%, see rank | 7.69% | 9.84% |
4 Rooms | 142, 14.85%, see rank | 12.73% | 15.97% |
5 Rooms | 185, 19.35%, see rank | 17.61% | 20.89% |
6 Rooms | 272, 28.45%, see rank | 23.25% | 18.45% |
7 Rooms | 118, 12.34%, see rank | 14.62% | 12.06% |
8 Rooms | 122, 12.76%, see rank | 10.69% | 8.06% |
9 Rooms or More | 56, 5.86%, see rank | 9.49% | 7.70% |
Median Rooms | 5.80, 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.