16313 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16313 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,372, 100% | 5,578,393 | 132,741,033 |
1 Room | 68, 4.96%, see rank | 1.73% | 1.95% |
2 Rooms | 153, 11.15%, see rank | 1.73% | 2.48% |
3 Rooms | 165, 12.03%, see rank | 7.21% | 9.13% |
4 Rooms | 205, 14.94%, see rank | 12.40% | 16.60% |
5 Rooms | 171, 12.46%, see rank | 16.40% | 20.41% |
6 Rooms | 200, 14.58%, see rank | 21.82% | 18.06% |
7 Rooms | 169, 12.32%, see rank | 14.82% | 12.27% |
8 Rooms | 138, 10.06%, see rank | 10.70% | 8.48% |
9 Rooms or More | 103, 7.51%, see rank | 13.18% | 10.60% |
Median Rooms | 5.10, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16313 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,508, 100% | 5,563,832 | 131,642,457 |
1 Room | 76, 5.04%, see rank | 1.68% | 1.95% |
2 Rooms | 137, 9.08%, see rank | 1.69% | 2.36% |
3 Rooms | 225, 14.92%, see rank | 7.15% | 8.97% |
4 Rooms | 196, 13.00%, see rank | 12.46% | 16.57% |
5 Rooms | 277, 18.37%, see rank | 16.43% | 20.41% |
6 Rooms | 248, 16.45%, see rank | 21.86% | 18.25% |
7 Rooms | 158, 10.48%, see rank | 14.93% | 12.38% |
8 Rooms | 97, 6.43%, see rank | 10.77% | 8.59% |
9 Rooms or More | 94, 6.23%, see rank | 13.03% | 10.52% |
Median Rooms | 4.90, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16313 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,263, 100% | 5,249,750 | 115,904,641 |
1 Room | 14, 1.11%, see rank | 1.19% | 2.20% |
2 Rooms | 47, 3.72%, see rank | 2.73% | 4.81% |
3 Rooms | 62, 4.91%, see rank | 7.69% | 9.84% |
4 Rooms | 240, 19.00%, see rank | 12.73% | 15.97% |
5 Rooms | 304, 24.07%, see rank | 17.61% | 20.89% |
6 Rooms | 264, 20.90%, see rank | 23.25% | 18.45% |
7 Rooms | 184, 14.57%, see rank | 14.62% | 12.06% |
8 Rooms | 76, 6.02%, see rank | 10.69% | 8.06% |
9 Rooms or More | 72, 5.70%, see rank | 9.49% | 7.70% |
Median Rooms | 5.40, 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.