16652 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16652 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 7,367, 100% | 5,578,393 | 132,741,033 |
1 Room | 145, 1.97%, see rank | 1.73% | 1.95% |
2 Rooms | 75, 1.02%, see rank | 1.73% | 2.48% |
3 Rooms | 624, 8.47%, see rank | 7.21% | 9.13% |
4 Rooms | 1,104, 14.99%, see rank | 12.40% | 16.60% |
5 Rooms | 1,120, 15.20%, see rank | 16.40% | 20.41% |
6 Rooms | 1,655, 22.47%, see rank | 21.82% | 18.06% |
7 Rooms | 1,204, 16.34%, see rank | 14.82% | 12.27% |
8 Rooms | 757, 10.28%, see rank | 10.70% | 8.48% |
9 Rooms or More | 683, 9.27%, see rank | 13.18% | 10.60% |
Median Rooms | 5.90, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16652 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 7,147, 100% | 5,563,832 | 131,642,457 |
1 Room | 94, 1.32%, see rank | 1.68% | 1.95% |
2 Rooms | 83, 1.16%, see rank | 1.69% | 2.36% |
3 Rooms | 664, 9.29%, see rank | 7.15% | 8.97% |
4 Rooms | 1,034, 14.47%, see rank | 12.46% | 16.57% |
5 Rooms | 1,173, 16.41%, see rank | 16.43% | 20.41% |
6 Rooms | 1,631, 22.82%, see rank | 21.86% | 18.25% |
7 Rooms | 1,088, 15.22%, see rank | 14.93% | 12.38% |
8 Rooms | 684, 9.57%, see rank | 10.77% | 8.59% |
9 Rooms or More | 696, 9.74%, see rank | 13.03% | 10.52% |
Median Rooms | 5.80, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16652 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 6,659, 100% | 5,249,750 | 115,904,641 |
1 Room | 53, 0.80%, see rank | 1.19% | 2.20% |
2 Rooms | 94, 1.41%, see rank | 2.73% | 4.81% |
3 Rooms | 562, 8.44%, see rank | 7.69% | 9.84% |
4 Rooms | 921, 13.83%, see rank | 12.73% | 15.97% |
5 Rooms | 1,304, 19.58%, see rank | 17.61% | 20.89% |
6 Rooms | 1,552, 23.31%, see rank | 23.25% | 18.45% |
7 Rooms | 969, 14.55%, see rank | 14.62% | 12.06% |
8 Rooms | 660, 9.91%, see rank | 10.69% | 8.06% |
9 Rooms or More | 544, 8.17%, 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.