19312 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19312 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 4,358, 100% | 5,578,393 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.73% | 1.95% |
2 Rooms | 67, 1.54%, see rank | 1.73% | 2.48% |
3 Rooms | 218, 5.00%, see rank | 7.21% | 9.13% |
4 Rooms | 248, 5.69%, see rank | 12.40% | 16.60% |
5 Rooms | 128, 2.94%, see rank | 16.40% | 20.41% |
6 Rooms | 325, 7.46%, see rank | 21.82% | 18.06% |
7 Rooms | 680, 15.60%, see rank | 14.82% | 12.27% |
8 Rooms | 594, 13.63%, see rank | 10.70% | 8.48% |
9 Rooms or More | 2,098, 48.14%, see rank | 13.18% | 10.60% |
Median Rooms | 8.40, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 19312 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 4,238, 100% | 5,563,832 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.68% | 1.95% |
2 Rooms | 55, 1.30%, see rank | 1.69% | 2.36% |
3 Rooms | 213, 5.03%, see rank | 7.15% | 8.97% |
4 Rooms | 206, 4.86%, see rank | 12.46% | 16.57% |
5 Rooms | 184, 4.34%, see rank | 16.43% | 20.41% |
6 Rooms | 308, 7.27%, see rank | 21.86% | 18.25% |
7 Rooms | 540, 12.74%, see rank | 14.93% | 12.38% |
8 Rooms | 640, 15.10%, see rank | 10.77% | 8.59% |
9 Rooms or More | 2,092, 49.36%, see rank | 13.03% | 10.52% |
Median Rooms | 8.50, see rank | 6.00 | 5.50 |
US Census 2000 data
| 19312 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 4,311, 100% | 5,249,750 | 115,904,641 |
1 Room | 18, 0.42%, see rank | 1.19% | 2.20% |
2 Rooms | 70, 1.62%, see rank | 2.73% | 4.81% |
3 Rooms | 117, 2.71%, see rank | 7.69% | 9.84% |
4 Rooms | 137, 3.18%, see rank | 12.73% | 15.97% |
5 Rooms | 335, 7.77%, see rank | 17.61% | 20.89% |
6 Rooms | 444, 10.30%, see rank | 23.25% | 18.45% |
7 Rooms | 771, 17.88%, see rank | 14.62% | 12.06% |
8 Rooms | 896, 20.78%, see rank | 10.69% | 8.06% |
9 Rooms or More | 1,523, 35.33%, see rank | 9.49% | 7.70% |
Median Rooms | 7.80, 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.