19032 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19032 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,690, 100% | 5,578,393 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.73% | 1.95% |
2 Rooms | 19, 0.71%, see rank | 1.73% | 2.48% |
3 Rooms | 122, 4.54%, see rank | 7.21% | 9.13% |
4 Rooms | 133, 4.94%, see rank | 12.40% | 16.60% |
5 Rooms | 197, 7.32%, see rank | 16.40% | 20.41% |
6 Rooms | 1,372, 51.00%, see rank | 21.82% | 18.06% |
7 Rooms | 594, 22.08%, see rank | 14.82% | 12.27% |
8 Rooms | 186, 6.91%, see rank | 10.70% | 8.48% |
9 Rooms or More | 67, 2.49%, see rank | 13.18% | 10.60% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 19032 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,494, 100% | 5,563,832 | 131,642,457 |
1 Room | 26, 1.04%, see rank | 1.68% | 1.95% |
2 Rooms | 6, 0.24%, see rank | 1.69% | 2.36% |
3 Rooms | 120, 4.81%, see rank | 7.15% | 8.97% |
4 Rooms | 175, 7.02%, see rank | 12.46% | 16.57% |
5 Rooms | 261, 10.47%, see rank | 16.43% | 20.41% |
6 Rooms | 1,084, 43.46%, see rank | 21.86% | 18.25% |
7 Rooms | 502, 20.13%, see rank | 14.93% | 12.38% |
8 Rooms | 223, 8.94%, see rank | 10.77% | 8.59% |
9 Rooms or More | 97, 3.89%, see rank | 13.03% | 10.52% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
US Census 2000 data
| 19032 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,603, 100% | 5,249,750 | 115,904,641 |
1 Room | 13, 0.50%, see rank | 1.19% | 2.20% |
2 Rooms | 0, 0.00%, see rank | 2.73% | 4.81% |
3 Rooms | 165, 6.34%, see rank | 7.69% | 9.84% |
4 Rooms | 157, 6.03%, see rank | 12.73% | 15.97% |
5 Rooms | 289, 11.10%, see rank | 17.61% | 20.89% |
6 Rooms | 1,170, 44.95%, see rank | 23.25% | 18.45% |
7 Rooms | 529, 20.32%, see rank | 14.62% | 12.06% |
8 Rooms | 173, 6.65%, see rank | 10.69% | 8.06% |
9 Rooms or More | 107, 4.11%, see rank | 9.49% | 7.70% |
Median Rooms | 6.10, 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.