16630 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16630 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,042, 100% | 5,578,393 | 132,741,033 |
1 Room | 31, 1.52%, see rank | 1.73% | 1.95% |
2 Rooms | 31, 1.52%, see rank | 1.73% | 2.48% |
3 Rooms | 114, 5.58%, see rank | 7.21% | 9.13% |
4 Rooms | 303, 14.84%, see rank | 12.40% | 16.60% |
5 Rooms | 371, 18.17%, see rank | 16.40% | 20.41% |
6 Rooms | 452, 22.14%, see rank | 21.82% | 18.06% |
7 Rooms | 283, 13.86%, see rank | 14.82% | 12.27% |
8 Rooms | 206, 10.09%, see rank | 10.70% | 8.48% |
9 Rooms or More | 251, 12.29%, see rank | 13.18% | 10.60% |
Median Rooms | 5.90, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16630 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,331, 100% | 5,563,832 | 131,642,457 |
1 Room | 19, 0.82%, see rank | 1.68% | 1.95% |
2 Rooms | 13, 0.56%, see rank | 1.69% | 2.36% |
3 Rooms | 176, 7.55%, see rank | 7.15% | 8.97% |
4 Rooms | 332, 14.24%, see rank | 12.46% | 16.57% |
5 Rooms | 386, 16.56%, see rank | 16.43% | 20.41% |
6 Rooms | 484, 20.76%, see rank | 21.86% | 18.25% |
7 Rooms | 324, 13.90%, see rank | 14.93% | 12.38% |
8 Rooms | 267, 11.45%, see rank | 10.77% | 8.59% |
9 Rooms or More | 330, 14.16%, see rank | 13.03% | 10.52% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16630 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,108, 100% | 5,249,750 | 115,904,641 |
1 Room | 14, 0.66%, see rank | 1.19% | 2.20% |
2 Rooms | 53, 2.51%, see rank | 2.73% | 4.81% |
3 Rooms | 139, 6.59%, see rank | 7.69% | 9.84% |
4 Rooms | 344, 16.32%, see rank | 12.73% | 15.97% |
5 Rooms | 376, 17.84%, see rank | 17.61% | 20.89% |
6 Rooms | 505, 23.96%, see rank | 23.25% | 18.45% |
7 Rooms | 270, 12.81%, see rank | 14.62% | 12.06% |
8 Rooms | 218, 10.34%, see rank | 10.69% | 8.06% |
9 Rooms or More | 189, 8.97%, 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.