15104 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 15104 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 5,074, 100% | 5,578,393 | 132,741,033 |
1 Room | 14, 0.28%, see rank | 1.73% | 1.95% |
2 Rooms | 67, 1.32%, see rank | 1.73% | 2.48% |
3 Rooms | 678, 13.36%, see rank | 7.21% | 9.13% |
4 Rooms | 1,212, 23.89%, see rank | 12.40% | 16.60% |
5 Rooms | 1,143, 22.53%, see rank | 16.40% | 20.41% |
6 Rooms | 1,017, 20.04%, see rank | 21.82% | 18.06% |
7 Rooms | 409, 8.06%, see rank | 14.82% | 12.27% |
8 Rooms | 255, 5.03%, see rank | 10.70% | 8.48% |
9 Rooms or More | 279, 5.50%, see rank | 13.18% | 10.60% |
Median Rooms | 5.00, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 15104 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 5,380, 100% | 5,563,832 | 131,642,457 |
1 Room | 6, 0.11%, see rank | 1.68% | 1.95% |
2 Rooms | 98, 1.82%, see rank | 1.69% | 2.36% |
3 Rooms | 605, 11.25%, see rank | 7.15% | 8.97% |
4 Rooms | 1,168, 21.71%, see rank | 12.46% | 16.57% |
5 Rooms | 1,301, 24.18%, see rank | 16.43% | 20.41% |
6 Rooms | 1,264, 23.49%, see rank | 21.86% | 18.25% |
7 Rooms | 359, 6.67%, see rank | 14.93% | 12.38% |
8 Rooms | 301, 5.59%, see rank | 10.77% | 8.59% |
9 Rooms or More | 278, 5.17%, see rank | 13.03% | 10.52% |
Median Rooms | 5.10, see rank | 6.00 | 5.50 |
US Census 2000 data
| 15104 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 5,907, 100% | 5,249,750 | 115,904,641 |
1 Room | 24, 0.41%, see rank | 1.19% | 2.20% |
2 Rooms | 127, 2.15%, see rank | 2.73% | 4.81% |
3 Rooms | 614, 10.39%, see rank | 7.69% | 9.84% |
4 Rooms | 1,332, 22.55%, see rank | 12.73% | 15.97% |
5 Rooms | 1,381, 23.38%, see rank | 17.61% | 20.89% |
6 Rooms | 1,259, 21.31%, see rank | 23.25% | 18.45% |
7 Rooms | 566, 9.58%, see rank | 14.62% | 12.06% |
8 Rooms | 363, 6.15%, see rank | 10.69% | 8.06% |
9 Rooms or More | 241, 4.08%, see rank | 9.49% | 7.70% |
Median Rooms | 5.10, 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.