19076 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19076 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,782, 100% | 5,578,393 | 132,741,033 |
1 Room | 25, 0.90%, see rank | 1.73% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.73% | 2.48% |
3 Rooms | 219, 7.87%, see rank | 7.21% | 9.13% |
4 Rooms | 624, 22.43%, see rank | 12.40% | 16.60% |
5 Rooms | 590, 21.21%, see rank | 16.40% | 20.41% |
6 Rooms | 589, 21.17%, see rank | 21.82% | 18.06% |
7 Rooms | 386, 13.87%, see rank | 14.82% | 12.27% |
8 Rooms | 195, 7.01%, see rank | 10.70% | 8.48% |
9 Rooms or More | 154, 5.54%, see rank | 13.18% | 10.60% |
Median Rooms | 5.40, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 19076 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,895, 100% | 5,563,832 | 131,642,457 |
1 Room | 79, 2.73%, see rank | 1.68% | 1.95% |
2 Rooms | 85, 2.94%, see rank | 1.69% | 2.36% |
3 Rooms | 286, 9.88%, see rank | 7.15% | 8.97% |
4 Rooms | 534, 18.45%, see rank | 12.46% | 16.57% |
5 Rooms | 462, 15.96%, see rank | 16.43% | 20.41% |
6 Rooms | 655, 22.63%, see rank | 21.86% | 18.25% |
7 Rooms | 371, 12.82%, see rank | 14.93% | 12.38% |
8 Rooms | 184, 6.36%, see rank | 10.77% | 8.59% |
9 Rooms or More | 239, 8.26%, see rank | 13.03% | 10.52% |
Median Rooms | 5.50, see rank | 6.00 | 5.50 |
US Census 2000 data
| 19076 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,706, 100% | 5,249,750 | 115,904,641 |
1 Room | 7, 0.26%, see rank | 1.19% | 2.20% |
2 Rooms | 142, 5.25%, see rank | 2.73% | 4.81% |
3 Rooms | 315, 11.64%, see rank | 7.69% | 9.84% |
4 Rooms | 361, 13.34%, see rank | 12.73% | 15.97% |
5 Rooms | 444, 16.41%, see rank | 17.61% | 20.89% |
6 Rooms | 728, 26.90%, see rank | 23.25% | 18.45% |
7 Rooms | 404, 14.93%, see rank | 14.62% | 12.06% |
8 Rooms | 121, 4.47%, see rank | 10.69% | 8.06% |
9 Rooms or More | 184, 6.80%, see rank | 9.49% | 7.70% |
Median Rooms | 5.60, 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.