19035 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19035 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,652, 100% | 5,578,393 | 132,741,033 |
1 Room | 29, 1.76%, see rank | 1.73% | 1.95% |
2 Rooms | 17, 1.03%, see rank | 1.73% | 2.48% |
3 Rooms | 28, 1.69%, see rank | 7.21% | 9.13% |
4 Rooms | 180, 10.90%, see rank | 12.40% | 16.60% |
5 Rooms | 156, 9.44%, see rank | 16.40% | 20.41% |
6 Rooms | 57, 3.45%, see rank | 21.82% | 18.06% |
7 Rooms | 180, 10.90%, see rank | 14.82% | 12.27% |
8 Rooms | 173, 10.47%, see rank | 10.70% | 8.48% |
9 Rooms or More | 832, 50.36%, see rank | 13.18% | 10.60% |
Median Rooms | 9.00, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 19035 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,551, 100% | 5,563,832 | 131,642,457 |
1 Room | 28, 1.81%, see rank | 1.68% | 1.95% |
2 Rooms | 26, 1.68%, see rank | 1.69% | 2.36% |
3 Rooms | 0, 0.00%, see rank | 7.15% | 8.97% |
4 Rooms | 158, 10.19%, see rank | 12.46% | 16.57% |
5 Rooms | 70, 4.51%, see rank | 16.43% | 20.41% |
6 Rooms | 139, 8.96%, see rank | 21.86% | 18.25% |
7 Rooms | 159, 10.25%, see rank | 14.93% | 12.38% |
8 Rooms | 174, 11.22%, see rank | 10.77% | 8.59% |
9 Rooms or More | 797, 51.39%, see rank | 13.03% | 10.52% |
Median Rooms | 9.00, see rank | 6.00 | 5.50 |
US Census 2000 data
| 19035 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,532, 100% | 5,249,750 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.19% | 2.20% |
2 Rooms | 26, 1.70%, see rank | 2.73% | 4.81% |
3 Rooms | 54, 3.52%, see rank | 7.69% | 9.84% |
4 Rooms | 124, 8.09%, see rank | 12.73% | 15.97% |
5 Rooms | 72, 4.70%, see rank | 17.61% | 20.89% |
6 Rooms | 131, 8.55%, see rank | 23.25% | 18.45% |
7 Rooms | 167, 10.90%, see rank | 14.62% | 12.06% |
8 Rooms | 211, 13.77%, see rank | 10.69% | 8.06% |
9 Rooms or More | 747, 48.76%, see rank | 9.49% | 7.70% |
Median Rooms | 8.40, 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.