19094 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19094 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,866, 100% | 5,578,393 | 132,741,033 |
1 Room | 15, 0.80%, see rank | 1.73% | 1.95% |
2 Rooms | 49, 2.63%, see rank | 1.73% | 2.48% |
3 Rooms | 205, 10.99%, see rank | 7.21% | 9.13% |
4 Rooms | 372, 19.94%, see rank | 12.40% | 16.60% |
5 Rooms | 322, 17.26%, see rank | 16.40% | 20.41% |
6 Rooms | 373, 19.99%, see rank | 21.82% | 18.06% |
7 Rooms | 265, 14.20%, see rank | 14.82% | 12.27% |
8 Rooms | 142, 7.61%, see rank | 10.70% | 8.48% |
9 Rooms or More | 123, 6.59%, see rank | 13.18% | 10.60% |
Median Rooms | 5.40, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 19094 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,547, 100% | 5,563,832 | 131,642,457 |
1 Room | 15, 0.97%, see rank | 1.68% | 1.95% |
2 Rooms | 37, 2.39%, see rank | 1.69% | 2.36% |
3 Rooms | 176, 11.38%, see rank | 7.15% | 8.97% |
4 Rooms | 201, 12.99%, see rank | 12.46% | 16.57% |
5 Rooms | 226, 14.61%, see rank | 16.43% | 20.41% |
6 Rooms | 354, 22.88%, see rank | 21.86% | 18.25% |
7 Rooms | 278, 17.97%, see rank | 14.93% | 12.38% |
8 Rooms | 129, 8.34%, see rank | 10.77% | 8.59% |
9 Rooms or More | 131, 8.47%, see rank | 13.03% | 10.52% |
Median Rooms | 5.80, see rank | 6.00 | 5.50 |
US Census 2000 data
| 19094 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,795, 100% | 5,249,750 | 115,904,641 |
1 Room | 8, 0.45%, see rank | 1.19% | 2.20% |
2 Rooms | 47, 2.62%, see rank | 2.73% | 4.81% |
3 Rooms | 254, 14.15%, see rank | 7.69% | 9.84% |
4 Rooms | 235, 13.09%, see rank | 12.73% | 15.97% |
5 Rooms | 238, 13.26%, see rank | 17.61% | 20.89% |
6 Rooms | 556, 30.97%, see rank | 23.25% | 18.45% |
7 Rooms | 238, 13.26%, see rank | 14.62% | 12.06% |
8 Rooms | 156, 8.69%, see rank | 10.69% | 8.06% |
9 Rooms or More | 63, 3.51%, see rank | 9.49% | 7.70% |
Median Rooms | 5.70, 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.