16627 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16627 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,092, 100% | 5,578,393 | 132,741,033 |
1 Room | 5, 0.46%, see rank | 1.73% | 1.95% |
2 Rooms | 11, 1.01%, see rank | 1.73% | 2.48% |
3 Rooms | 48, 4.40%, see rank | 7.21% | 9.13% |
4 Rooms | 150, 13.74%, see rank | 12.40% | 16.60% |
5 Rooms | 258, 23.63%, see rank | 16.40% | 20.41% |
6 Rooms | 284, 26.01%, see rank | 21.82% | 18.06% |
7 Rooms | 129, 11.81%, see rank | 14.82% | 12.27% |
8 Rooms | 110, 10.07%, see rank | 10.70% | 8.48% |
9 Rooms or More | 97, 8.88%, see rank | 13.18% | 10.60% |
Median Rooms | 5.80, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16627 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,074, 100% | 5,563,832 | 131,642,457 |
1 Room | 10, 0.93%, see rank | 1.68% | 1.95% |
2 Rooms | 4, 0.37%, see rank | 1.69% | 2.36% |
3 Rooms | 42, 3.91%, see rank | 7.15% | 8.97% |
4 Rooms | 171, 15.92%, see rank | 12.46% | 16.57% |
5 Rooms | 242, 22.53%, see rank | 16.43% | 20.41% |
6 Rooms | 279, 25.98%, see rank | 21.86% | 18.25% |
7 Rooms | 182, 16.95%, see rank | 14.93% | 12.38% |
8 Rooms | 84, 7.82%, see rank | 10.77% | 8.59% |
9 Rooms or More | 60, 5.59%, see rank | 13.03% | 10.52% |
Median Rooms | 5.70, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16627 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 979, 100% | 5,249,750 | 115,904,641 |
1 Room | 9, 0.92%, see rank | 1.19% | 2.20% |
2 Rooms | 8, 0.82%, see rank | 2.73% | 4.81% |
3 Rooms | 46, 4.70%, see rank | 7.69% | 9.84% |
4 Rooms | 137, 13.99%, see rank | 12.73% | 15.97% |
5 Rooms | 228, 23.29%, see rank | 17.61% | 20.89% |
6 Rooms | 217, 22.17%, see rank | 23.25% | 18.45% |
7 Rooms | 177, 18.08%, see rank | 14.62% | 12.06% |
8 Rooms | 85, 8.68%, see rank | 10.69% | 8.06% |
9 Rooms or More | 72, 7.35%, 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.