19529 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19529 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,444, 100% | 5,578,393 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.73% | 1.95% |
2 Rooms | 3, 0.21%, see rank | 1.73% | 2.48% |
3 Rooms | 19, 1.32%, see rank | 7.21% | 9.13% |
4 Rooms | 103, 7.13%, see rank | 12.40% | 16.60% |
5 Rooms | 175, 12.12%, see rank | 16.40% | 20.41% |
6 Rooms | 317, 21.95%, see rank | 21.82% | 18.06% |
7 Rooms | 316, 21.88%, see rank | 14.82% | 12.27% |
8 Rooms | 258, 17.87%, see rank | 10.70% | 8.48% |
9 Rooms or More | 253, 17.52%, see rank | 13.18% | 10.60% |
Median Rooms | 6.80, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 19529 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,309, 100% | 5,563,832 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.68% | 1.95% |
2 Rooms | 12, 0.92%, see rank | 1.69% | 2.36% |
3 Rooms | 8, 0.61%, see rank | 7.15% | 8.97% |
4 Rooms | 102, 7.79%, see rank | 12.46% | 16.57% |
5 Rooms | 177, 13.52%, see rank | 16.43% | 20.41% |
6 Rooms | 209, 15.97%, see rank | 21.86% | 18.25% |
7 Rooms | 338, 25.82%, see rank | 14.93% | 12.38% |
8 Rooms | 189, 14.44%, see rank | 10.77% | 8.59% |
9 Rooms or More | 274, 20.93%, see rank | 13.03% | 10.52% |
Median Rooms | 6.90, see rank | 6.00 | 5.50 |
US Census 2000 data
| 19529 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,205, 100% | 5,249,750 | 115,904,641 |
1 Room | 8, 0.66%, see rank | 1.19% | 2.20% |
2 Rooms | 14, 1.16%, see rank | 2.73% | 4.81% |
3 Rooms | 32, 2.66%, see rank | 7.69% | 9.84% |
4 Rooms | 133, 11.04%, see rank | 12.73% | 15.97% |
5 Rooms | 185, 15.35%, see rank | 17.61% | 20.89% |
6 Rooms | 291, 24.15%, see rank | 23.25% | 18.45% |
7 Rooms | 170, 14.11%, see rank | 14.62% | 12.06% |
8 Rooms | 189, 15.68%, see rank | 10.69% | 8.06% |
9 Rooms or More | 183, 15.19%, see rank | 9.49% | 7.70% |
Median Rooms | 6.30, 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.