19054 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19054 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 6,789, 100% | 5,578,393 | 132,741,033 |
1 Room | 167, 2.46%, see rank | 1.73% | 1.95% |
2 Rooms | 70, 1.03%, see rank | 1.73% | 2.48% |
3 Rooms | 238, 3.51%, see rank | 7.21% | 9.13% |
4 Rooms | 547, 8.06%, see rank | 12.40% | 16.60% |
5 Rooms | 1,426, 21.00%, see rank | 16.40% | 20.41% |
6 Rooms | 1,842, 27.13%, see rank | 21.82% | 18.06% |
7 Rooms | 1,177, 17.34%, see rank | 14.82% | 12.27% |
8 Rooms | 611, 9.00%, see rank | 10.70% | 8.48% |
9 Rooms or More | 711, 10.47%, see rank | 13.18% | 10.60% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 19054 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 6,816, 100% | 5,563,832 | 131,642,457 |
1 Room | 158, 2.32%, see rank | 1.68% | 1.95% |
2 Rooms | 44, 0.65%, see rank | 1.69% | 2.36% |
3 Rooms | 190, 2.79%, see rank | 7.15% | 8.97% |
4 Rooms | 522, 7.66%, see rank | 12.46% | 16.57% |
5 Rooms | 1,502, 22.04%, see rank | 16.43% | 20.41% |
6 Rooms | 1,758, 25.79%, see rank | 21.86% | 18.25% |
7 Rooms | 1,421, 20.85%, see rank | 14.93% | 12.38% |
8 Rooms | 533, 7.82%, see rank | 10.77% | 8.59% |
9 Rooms or More | 688, 10.09%, see rank | 13.03% | 10.52% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
US Census 2000 data
| 19054 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 6,470, 100% | 5,249,750 | 115,904,641 |
1 Room | 44, 0.68%, see rank | 1.19% | 2.20% |
2 Rooms | 180, 2.78%, see rank | 2.73% | 4.81% |
3 Rooms | 386, 5.97%, see rank | 7.69% | 9.84% |
4 Rooms | 583, 9.01%, see rank | 12.73% | 15.97% |
5 Rooms | 1,505, 23.26%, see rank | 17.61% | 20.89% |
6 Rooms | 1,636, 25.29%, see rank | 23.25% | 18.45% |
7 Rooms | 1,129, 17.45%, see rank | 14.62% | 12.06% |
8 Rooms | 667, 10.31%, see rank | 10.69% | 8.06% |
9 Rooms or More | 340, 5.26%, see rank | 9.49% | 7.70% |
Median Rooms | 5.80, 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.