15025 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 15025 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 7,971, 100% | 5,578,393 | 132,741,033 |
1 Room | 65, 0.82%, see rank | 1.73% | 1.95% |
2 Rooms | 36, 0.45%, see rank | 1.73% | 2.48% |
3 Rooms | 355, 4.45%, see rank | 7.21% | 9.13% |
4 Rooms | 1,400, 17.56%, see rank | 12.40% | 16.60% |
5 Rooms | 1,704, 21.38%, see rank | 16.40% | 20.41% |
6 Rooms | 1,831, 22.97%, see rank | 21.82% | 18.06% |
7 Rooms | 951, 11.93%, see rank | 14.82% | 12.27% |
8 Rooms | 738, 9.26%, see rank | 10.70% | 8.48% |
9 Rooms or More | 891, 11.18%, see rank | 13.18% | 10.60% |
Median Rooms | 5.70, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 15025 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 7,974, 100% | 5,563,832 | 131,642,457 |
1 Room | 29, 0.36%, see rank | 1.68% | 1.95% |
2 Rooms | 34, 0.43%, see rank | 1.69% | 2.36% |
3 Rooms | 412, 5.17%, see rank | 7.15% | 8.97% |
4 Rooms | 1,305, 16.37%, see rank | 12.46% | 16.57% |
5 Rooms | 1,742, 21.85%, see rank | 16.43% | 20.41% |
6 Rooms | 2,007, 25.17%, see rank | 21.86% | 18.25% |
7 Rooms | 976, 12.24%, see rank | 14.93% | 12.38% |
8 Rooms | 752, 9.43%, see rank | 10.77% | 8.59% |
9 Rooms or More | 717, 8.99%, see rank | 13.03% | 10.52% |
Median Rooms | 5.70, see rank | 6.00 | 5.50 |
US Census 2000 data
| 15025 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 8,009, 100% | 5,249,750 | 115,904,641 |
1 Room | 17, 0.21%, see rank | 1.19% | 2.20% |
2 Rooms | 145, 1.81%, see rank | 2.73% | 4.81% |
3 Rooms | 558, 6.97%, see rank | 7.69% | 9.84% |
4 Rooms | 1,445, 18.04%, see rank | 12.73% | 15.97% |
5 Rooms | 2,034, 25.40%, see rank | 17.61% | 20.89% |
6 Rooms | 2,087, 26.06%, see rank | 23.25% | 18.45% |
7 Rooms | 701, 8.75%, see rank | 14.62% | 12.06% |
8 Rooms | 666, 8.32%, see rank | 10.69% | 8.06% |
9 Rooms or More | 356, 4.44%, see rank | 9.49% | 7.70% |
Median Rooms | 5.40, 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.