19102 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19102 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,178, 100% | 5,578,393 | 132,741,033 |
1 Room | 208, 6.54%, see rank | 1.73% | 1.95% |
2 Rooms | 598, 18.82%, see rank | 1.73% | 2.48% |
3 Rooms | 1,280, 40.28%, see rank | 7.21% | 9.13% |
4 Rooms | 620, 19.51%, see rank | 12.40% | 16.60% |
5 Rooms | 214, 6.73%, see rank | 16.40% | 20.41% |
6 Rooms | 61, 1.92%, see rank | 21.82% | 18.06% |
7 Rooms | 99, 3.12%, see rank | 14.82% | 12.27% |
8 Rooms | 23, 0.72%, see rank | 10.70% | 8.48% |
9 Rooms or More | 75, 2.36%, see rank | 13.18% | 10.60% |
Median Rooms | 3.10, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 19102 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,989, 100% | 5,563,832 | 131,642,457 |
1 Room | 170, 5.69%, see rank | 1.68% | 1.95% |
2 Rooms | 391, 13.08%, see rank | 1.69% | 2.36% |
3 Rooms | 1,448, 48.44%, see rank | 7.15% | 8.97% |
4 Rooms | 571, 19.10%, see rank | 12.46% | 16.57% |
5 Rooms | 164, 5.49%, see rank | 16.43% | 20.41% |
6 Rooms | 67, 2.24%, see rank | 21.86% | 18.25% |
7 Rooms | 85, 2.84%, see rank | 14.93% | 12.38% |
8 Rooms | 34, 1.14%, see rank | 10.77% | 8.59% |
9 Rooms or More | 59, 1.97%, see rank | 13.03% | 10.52% |
Median Rooms | 3.10, see rank | 6.00 | 5.50 |
US Census 2000 data
| 19102 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,958, 100% | 5,249,750 | 115,904,641 |
1 Room | 330, 11.16%, see rank | 1.19% | 2.20% |
2 Rooms | 852, 28.80%, see rank | 2.73% | 4.81% |
3 Rooms | 949, 32.08%, see rank | 7.69% | 9.84% |
4 Rooms | 473, 15.99%, see rank | 12.73% | 15.97% |
5 Rooms | 198, 6.69%, see rank | 17.61% | 20.89% |
6 Rooms | 99, 3.35%, see rank | 23.25% | 18.45% |
7 Rooms | 39, 1.32%, see rank | 14.62% | 12.06% |
8 Rooms | 0, 0.00%, see rank | 10.69% | 8.06% |
9 Rooms or More | 18, 0.61%, see rank | 9.49% | 7.70% |
Median Rooms | 2.80, 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.