19534 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19534 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 834, 100% | 5,578,393 | 132,741,033 |
1 Room | 27, 3.24%, see rank | 1.73% | 1.95% |
2 Rooms | 48, 5.76%, see rank | 1.73% | 2.48% |
3 Rooms | 126, 15.11%, see rank | 7.21% | 9.13% |
4 Rooms | 76, 9.11%, see rank | 12.40% | 16.60% |
5 Rooms | 130, 15.59%, see rank | 16.40% | 20.41% |
6 Rooms | 140, 16.79%, see rank | 21.82% | 18.06% |
7 Rooms | 146, 17.51%, see rank | 14.82% | 12.27% |
8 Rooms | 83, 9.95%, see rank | 10.70% | 8.48% |
9 Rooms or More | 58, 6.95%, see rank | 13.18% | 10.60% |
Median Rooms | 5.60, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 19534 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 919, 100% | 5,563,832 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.68% | 1.95% |
2 Rooms | 9, 0.98%, see rank | 1.69% | 2.36% |
3 Rooms | 107, 11.64%, see rank | 7.15% | 8.97% |
4 Rooms | 105, 11.43%, see rank | 12.46% | 16.57% |
5 Rooms | 89, 9.68%, see rank | 16.43% | 20.41% |
6 Rooms | 210, 22.85%, see rank | 21.86% | 18.25% |
7 Rooms | 161, 17.52%, see rank | 14.93% | 12.38% |
8 Rooms | 86, 9.36%, see rank | 10.77% | 8.59% |
9 Rooms or More | 152, 16.54%, see rank | 13.03% | 10.52% |
Median Rooms | 6.20, see rank | 6.00 | 5.50 |
US Census 2000 data
| 19534 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 879, 100% | 5,249,750 | 115,904,641 |
1 Room | 62, 7.05%, see rank | 1.19% | 2.20% |
2 Rooms | 28, 3.19%, see rank | 2.73% | 4.81% |
3 Rooms | 38, 4.32%, see rank | 7.69% | 9.84% |
4 Rooms | 131, 14.90%, see rank | 12.73% | 15.97% |
5 Rooms | 157, 17.86%, see rank | 17.61% | 20.89% |
6 Rooms | 148, 16.84%, see rank | 23.25% | 18.45% |
7 Rooms | 126, 14.33%, see rank | 14.62% | 12.06% |
8 Rooms | 74, 8.42%, see rank | 10.69% | 8.06% |
9 Rooms or More | 115, 13.08%, see rank | 9.49% | 7.70% |
Median Rooms | 5.70, 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.