19150 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19150 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 10,623, 100% | 5,578,393 | 132,741,033 |
1 Room | 157, 1.48%, see rank | 1.73% | 1.95% |
2 Rooms | 58, 0.55%, see rank | 1.73% | 2.48% |
3 Rooms | 885, 8.33%, see rank | 7.21% | 9.13% |
4 Rooms | 951, 8.95%, see rank | 12.40% | 16.60% |
5 Rooms | 685, 6.45%, see rank | 16.40% | 20.41% |
6 Rooms | 5,054, 47.58%, see rank | 21.82% | 18.06% |
7 Rooms | 1,763, 16.60%, see rank | 14.82% | 12.27% |
8 Rooms | 575, 5.41%, see rank | 10.70% | 8.48% |
9 Rooms or More | 495, 4.66%, see rank | 13.18% | 10.60% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 19150 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 10,551, 100% | 5,563,832 | 131,642,457 |
1 Room | 161, 1.53%, see rank | 1.68% | 1.95% |
2 Rooms | 53, 0.50%, see rank | 1.69% | 2.36% |
3 Rooms | 964, 9.14%, see rank | 7.15% | 8.97% |
4 Rooms | 1,210, 11.47%, see rank | 12.46% | 16.57% |
5 Rooms | 783, 7.42%, see rank | 16.43% | 20.41% |
6 Rooms | 4,574, 43.35%, see rank | 21.86% | 18.25% |
7 Rooms | 1,586, 15.03%, see rank | 14.93% | 12.38% |
8 Rooms | 588, 5.57%, see rank | 10.77% | 8.59% |
9 Rooms or More | 632, 5.99%, see rank | 13.03% | 10.52% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
US Census 2000 data
| 19150 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 10,334, 100% | 5,249,750 | 115,904,641 |
1 Room | 51, 0.49%, see rank | 1.19% | 2.20% |
2 Rooms | 243, 2.35%, see rank | 2.73% | 4.81% |
3 Rooms | 779, 7.54%, see rank | 7.69% | 9.84% |
4 Rooms | 1,006, 9.73%, see rank | 12.73% | 15.97% |
5 Rooms | 877, 8.49%, see rank | 17.61% | 20.89% |
6 Rooms | 4,391, 42.49%, see rank | 23.25% | 18.45% |
7 Rooms | 2,106, 20.38%, see rank | 14.62% | 12.06% |
8 Rooms | 695, 6.73%, see rank | 10.69% | 8.06% |
9 Rooms or More | 186, 1.80%, see rank | 9.49% | 7.70% |
Median Rooms | 6.00, 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.