19041 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19041 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,548, 100% | 5,578,393 | 132,741,033 |
1 Room | 91, 3.57%, see rank | 1.73% | 1.95% |
2 Rooms | 43, 1.69%, see rank | 1.73% | 2.48% |
3 Rooms | 248, 9.73%, see rank | 7.21% | 9.13% |
4 Rooms | 402, 15.78%, see rank | 12.40% | 16.60% |
5 Rooms | 217, 8.52%, see rank | 16.40% | 20.41% |
6 Rooms | 179, 7.03%, see rank | 21.82% | 18.06% |
7 Rooms | 151, 5.93%, see rank | 14.82% | 12.27% |
8 Rooms | 397, 15.58%, see rank | 10.70% | 8.48% |
9 Rooms or More | 820, 32.18%, see rank | 13.18% | 10.60% |
Median Rooms | 7.10, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 19041 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,536, 100% | 5,563,832 | 131,642,457 |
1 Room | 72, 2.84%, see rank | 1.68% | 1.95% |
2 Rooms | 66, 2.60%, see rank | 1.69% | 2.36% |
3 Rooms | 308, 12.15%, see rank | 7.15% | 8.97% |
4 Rooms | 337, 13.29%, see rank | 12.46% | 16.57% |
5 Rooms | 237, 9.35%, see rank | 16.43% | 20.41% |
6 Rooms | 210, 8.28%, see rank | 21.86% | 18.25% |
7 Rooms | 174, 6.86%, see rank | 14.93% | 12.38% |
8 Rooms | 268, 10.57%, see rank | 10.77% | 8.59% |
9 Rooms or More | 864, 34.07%, see rank | 13.03% | 10.52% |
Median Rooms | 6.70, see rank | 6.00 | 5.50 |
US Census 2000 data
| 19041 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,608, 100% | 5,249,750 | 115,904,641 |
1 Room | 118, 4.52%, see rank | 1.19% | 2.20% |
2 Rooms | 102, 3.91%, see rank | 2.73% | 4.81% |
3 Rooms | 311, 11.92%, see rank | 7.69% | 9.84% |
4 Rooms | 327, 12.54%, see rank | 12.73% | 15.97% |
5 Rooms | 253, 9.70%, see rank | 17.61% | 20.89% |
6 Rooms | 263, 10.08%, see rank | 23.25% | 18.45% |
7 Rooms | 185, 7.09%, see rank | 14.62% | 12.06% |
8 Rooms | 326, 12.50%, see rank | 10.69% | 8.06% |
9 Rooms or More | 723, 27.72%, see rank | 9.49% | 7.70% |
Median Rooms | 6.20, 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.