15419 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 15419 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,249, 100% | 5,578,393 | 132,741,033 |
1 Room | 84, 3.73%, see rank | 1.73% | 1.95% |
2 Rooms | 21, 0.93%, see rank | 1.73% | 2.48% |
3 Rooms | 365, 16.23%, see rank | 7.21% | 9.13% |
4 Rooms | 492, 21.88%, see rank | 12.40% | 16.60% |
5 Rooms | 487, 21.65%, see rank | 16.40% | 20.41% |
6 Rooms | 290, 12.89%, see rank | 21.82% | 18.06% |
7 Rooms | 162, 7.20%, see rank | 14.82% | 12.27% |
8 Rooms | 172, 7.65%, see rank | 10.70% | 8.48% |
9 Rooms or More | 176, 7.83%, see rank | 13.18% | 10.60% |
Median Rooms | 4.80, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 15419 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,013, 100% | 5,563,832 | 131,642,457 |
1 Room | 100, 4.97%, see rank | 1.68% | 1.95% |
2 Rooms | 31, 1.54%, see rank | 1.69% | 2.36% |
3 Rooms | 242, 12.02%, see rank | 7.15% | 8.97% |
4 Rooms | 364, 18.08%, see rank | 12.46% | 16.57% |
5 Rooms | 420, 20.86%, see rank | 16.43% | 20.41% |
6 Rooms | 343, 17.04%, see rank | 21.86% | 18.25% |
7 Rooms | 153, 7.60%, see rank | 14.93% | 12.38% |
8 Rooms | 184, 9.14%, see rank | 10.77% | 8.59% |
9 Rooms or More | 176, 8.74%, see rank | 13.03% | 10.52% |
Median Rooms | 5.10, see rank | 6.00 | 5.50 |
US Census 2000 data
| 15419 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,727, 100% | 5,249,750 | 115,904,641 |
1 Room | 11, 0.64%, see rank | 1.19% | 2.20% |
2 Rooms | 197, 11.41%, see rank | 2.73% | 4.81% |
3 Rooms | 326, 18.88%, see rank | 7.69% | 9.84% |
4 Rooms | 373, 21.60%, see rank | 12.73% | 15.97% |
5 Rooms | 281, 16.27%, see rank | 17.61% | 20.89% |
6 Rooms | 298, 17.26%, see rank | 23.25% | 18.45% |
7 Rooms | 93, 5.39%, see rank | 14.62% | 12.06% |
8 Rooms | 70, 4.05%, see rank | 10.69% | 8.06% |
9 Rooms or More | 78, 4.52%, see rank | 9.49% | 7.70% |
Median Rooms | 4.40, 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.