19106 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19106 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 7,103, 100% | 5,578,393 | 132,741,033 |
1 Room | 337, 4.74%, see rank | 1.73% | 1.95% |
2 Rooms | 1,022, 14.39%, see rank | 1.73% | 2.48% |
3 Rooms | 2,160, 30.41%, see rank | 7.21% | 9.13% |
4 Rooms | 1,581, 22.26%, see rank | 12.40% | 16.60% |
5 Rooms | 839, 11.81%, see rank | 16.40% | 20.41% |
6 Rooms | 378, 5.32%, see rank | 21.82% | 18.06% |
7 Rooms | 269, 3.79%, see rank | 14.82% | 12.27% |
8 Rooms | 167, 2.35%, see rank | 10.70% | 8.48% |
9 Rooms or More | 350, 4.93%, see rank | 13.18% | 10.60% |
Median Rooms | 3.50, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 19106 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 7,248, 100% | 5,563,832 | 131,642,457 |
1 Room | 329, 4.54%, see rank | 1.68% | 1.95% |
2 Rooms | 877, 12.10%, see rank | 1.69% | 2.36% |
3 Rooms | 2,525, 34.84%, see rank | 7.15% | 8.97% |
4 Rooms | 1,519, 20.96%, see rank | 12.46% | 16.57% |
5 Rooms | 717, 9.89%, see rank | 16.43% | 20.41% |
6 Rooms | 493, 6.80%, see rank | 21.86% | 18.25% |
7 Rooms | 261, 3.60%, see rank | 14.93% | 12.38% |
8 Rooms | 168, 2.32%, see rank | 10.77% | 8.59% |
9 Rooms or More | 359, 4.95%, see rank | 13.03% | 10.52% |
Median Rooms | 3.50, see rank | 6.00 | 5.50 |
US Census 2000 data
| 19106 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 5,672, 100% | 5,249,750 | 115,904,641 |
1 Room | 338, 5.96%, see rank | 1.19% | 2.20% |
2 Rooms | 1,045, 18.42%, see rank | 2.73% | 4.81% |
3 Rooms | 1,362, 24.01%, see rank | 7.69% | 9.84% |
4 Rooms | 1,224, 21.58%, see rank | 12.73% | 15.97% |
5 Rooms | 626, 11.04%, see rank | 17.61% | 20.89% |
6 Rooms | 461, 8.13%, see rank | 23.25% | 18.45% |
7 Rooms | 148, 2.61%, see rank | 14.62% | 12.06% |
8 Rooms | 193, 3.40%, see rank | 10.69% | 8.06% |
9 Rooms or More | 275, 4.85%, see rank | 9.49% | 7.70% |
Median Rooms | 3.60, 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.