16327 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16327 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,350, 100% | 5,578,393 | 132,741,033 |
1 Room | 7, 0.52%, see rank | 1.73% | 1.95% |
2 Rooms | 13, 0.96%, see rank | 1.73% | 2.48% |
3 Rooms | 40, 2.96%, see rank | 7.21% | 9.13% |
4 Rooms | 159, 11.78%, see rank | 12.40% | 16.60% |
5 Rooms | 244, 18.07%, see rank | 16.40% | 20.41% |
6 Rooms | 323, 23.93%, see rank | 21.82% | 18.06% |
7 Rooms | 245, 18.15%, see rank | 14.82% | 12.27% |
8 Rooms | 140, 10.37%, see rank | 10.70% | 8.48% |
9 Rooms or More | 179, 13.26%, see rank | 13.18% | 10.60% |
Median Rooms | 6.20, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16327 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,266, 100% | 5,563,832 | 131,642,457 |
1 Room | 12, 0.95%, see rank | 1.68% | 1.95% |
2 Rooms | 15, 1.18%, see rank | 1.69% | 2.36% |
3 Rooms | 43, 3.40%, see rank | 7.15% | 8.97% |
4 Rooms | 137, 10.82%, see rank | 12.46% | 16.57% |
5 Rooms | 245, 19.35%, see rank | 16.43% | 20.41% |
6 Rooms | 281, 22.20%, see rank | 21.86% | 18.25% |
7 Rooms | 240, 18.96%, see rank | 14.93% | 12.38% |
8 Rooms | 136, 10.74%, see rank | 10.77% | 8.59% |
9 Rooms or More | 157, 12.40%, see rank | 13.03% | 10.52% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16327 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,264, 100% | 5,249,750 | 115,904,641 |
1 Room | 17, 1.34%, see rank | 1.19% | 2.20% |
2 Rooms | 9, 0.71%, see rank | 2.73% | 4.81% |
3 Rooms | 38, 3.01%, see rank | 7.69% | 9.84% |
4 Rooms | 160, 12.66%, see rank | 12.73% | 15.97% |
5 Rooms | 287, 22.71%, see rank | 17.61% | 20.89% |
6 Rooms | 306, 24.21%, see rank | 23.25% | 18.45% |
7 Rooms | 241, 19.07%, see rank | 14.62% | 12.06% |
8 Rooms | 111, 8.78%, see rank | 10.69% | 8.06% |
9 Rooms or More | 95, 7.52%, see rank | 9.49% | 7.70% |
Median Rooms | 5.90, 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.