19034 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19034 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,185, 100% | 5,578,393 | 132,741,033 |
1 Room | 10, 0.46%, see rank | 1.73% | 1.95% |
2 Rooms | 86, 3.94%, see rank | 1.73% | 2.48% |
3 Rooms | 194, 8.88%, see rank | 7.21% | 9.13% |
4 Rooms | 133, 6.09%, see rank | 12.40% | 16.60% |
5 Rooms | 27, 1.24%, see rank | 16.40% | 20.41% |
6 Rooms | 256, 11.72%, see rank | 21.82% | 18.06% |
7 Rooms | 215, 9.84%, see rank | 14.82% | 12.27% |
8 Rooms | 346, 15.84%, see rank | 10.70% | 8.48% |
9 Rooms or More | 918, 42.01%, see rank | 13.18% | 10.60% |
Median Rooms | 8.00, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 19034 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,207, 100% | 5,563,832 | 131,642,457 |
1 Room | 9, 0.41%, see rank | 1.68% | 1.95% |
2 Rooms | 106, 4.80%, see rank | 1.69% | 2.36% |
3 Rooms | 159, 7.20%, see rank | 7.15% | 8.97% |
4 Rooms | 153, 6.93%, see rank | 12.46% | 16.57% |
5 Rooms | 77, 3.49%, see rank | 16.43% | 20.41% |
6 Rooms | 190, 8.61%, see rank | 21.86% | 18.25% |
7 Rooms | 310, 14.05%, see rank | 14.93% | 12.38% |
8 Rooms | 318, 14.41%, see rank | 10.77% | 8.59% |
9 Rooms or More | 885, 40.10%, see rank | 13.03% | 10.52% |
Median Rooms | 7.80, see rank | 6.00 | 5.50 |
US Census 2000 data
| 19034 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,204, 100% | 5,249,750 | 115,904,641 |
1 Room | 83, 3.77%, see rank | 1.19% | 2.20% |
2 Rooms | 78, 3.54%, see rank | 2.73% | 4.81% |
3 Rooms | 142, 6.44%, see rank | 7.69% | 9.84% |
4 Rooms | 158, 7.17%, see rank | 12.73% | 15.97% |
5 Rooms | 102, 4.63%, see rank | 17.61% | 20.89% |
6 Rooms | 181, 8.21%, see rank | 23.25% | 18.45% |
7 Rooms | 267, 12.11%, see rank | 14.62% | 12.06% |
8 Rooms | 481, 21.82%, see rank | 10.69% | 8.06% |
9 Rooms or More | 712, 32.30%, see rank | 9.49% | 7.70% |
Median Rooms | 7.70, 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.