19025 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19025 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,106, 100% | 5,578,393 | 132,741,033 |
1 Room | 48, 2.28%, see rank | 1.73% | 1.95% |
2 Rooms | 82, 3.89%, see rank | 1.73% | 2.48% |
3 Rooms | 66, 3.13%, see rank | 7.21% | 9.13% |
4 Rooms | 91, 4.32%, see rank | 12.40% | 16.60% |
5 Rooms | 81, 3.85%, see rank | 16.40% | 20.41% |
6 Rooms | 236, 11.21%, see rank | 21.82% | 18.06% |
7 Rooms | 226, 10.73%, see rank | 14.82% | 12.27% |
8 Rooms | 366, 17.38%, see rank | 10.70% | 8.48% |
9 Rooms or More | 910, 43.21%, see rank | 13.18% | 10.60% |
Median Rooms | 8.10, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 19025 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,029, 100% | 5,563,832 | 131,642,457 |
1 Room | 24, 1.18%, see rank | 1.68% | 1.95% |
2 Rooms | 57, 2.81%, see rank | 1.69% | 2.36% |
3 Rooms | 28, 1.38%, see rank | 7.15% | 8.97% |
4 Rooms | 77, 3.79%, see rank | 12.46% | 16.57% |
5 Rooms | 76, 3.75%, see rank | 16.43% | 20.41% |
6 Rooms | 240, 11.83%, see rank | 21.86% | 18.25% |
7 Rooms | 286, 14.10%, see rank | 14.93% | 12.38% |
8 Rooms | 363, 17.89%, see rank | 10.77% | 8.59% |
9 Rooms or More | 878, 43.27%, see rank | 13.03% | 10.52% |
Median Rooms | 8.10, see rank | 6.00 | 5.50 |
US Census 2000 data
| 19025 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,819, 100% | 5,249,750 | 115,904,641 |
1 Room | 7, 0.38%, see rank | 1.19% | 2.20% |
2 Rooms | 0, 0.00%, see rank | 2.73% | 4.81% |
3 Rooms | 21, 1.15%, see rank | 7.69% | 9.84% |
4 Rooms | 36, 1.98%, see rank | 12.73% | 15.97% |
5 Rooms | 58, 3.19%, see rank | 17.61% | 20.89% |
6 Rooms | 114, 6.27%, see rank | 23.25% | 18.45% |
7 Rooms | 247, 13.58%, see rank | 14.62% | 12.06% |
8 Rooms | 513, 28.20%, see rank | 10.69% | 8.06% |
9 Rooms or More | 823, 45.24%, see rank | 9.49% | 7.70% |
Median Rooms | 8.30, 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.