15431 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 15431 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,016, 100% | 5,578,393 | 132,741,033 |
1 Room | 19, 0.94%, see rank | 1.73% | 1.95% |
2 Rooms | 18, 0.89%, see rank | 1.73% | 2.48% |
3 Rooms | 105, 5.21%, see rank | 7.21% | 9.13% |
4 Rooms | 434, 21.53%, see rank | 12.40% | 16.60% |
5 Rooms | 430, 21.33%, see rank | 16.40% | 20.41% |
6 Rooms | 393, 19.49%, see rank | 21.82% | 18.06% |
7 Rooms | 220, 10.91%, see rank | 14.82% | 12.27% |
8 Rooms | 256, 12.70%, see rank | 10.70% | 8.48% |
9 Rooms or More | 141, 6.99%, see rank | 13.18% | 10.60% |
Median Rooms | 5.50, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 15431 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,064, 100% | 5,563,832 | 131,642,457 |
1 Room | 11, 0.53%, see rank | 1.68% | 1.95% |
2 Rooms | 26, 1.26%, see rank | 1.69% | 2.36% |
3 Rooms | 71, 3.44%, see rank | 7.15% | 8.97% |
4 Rooms | 393, 19.04%, see rank | 12.46% | 16.57% |
5 Rooms | 470, 22.77%, see rank | 16.43% | 20.41% |
6 Rooms | 564, 27.33%, see rank | 21.86% | 18.25% |
7 Rooms | 238, 11.53%, see rank | 14.93% | 12.38% |
8 Rooms | 200, 9.69%, see rank | 10.77% | 8.59% |
9 Rooms or More | 91, 4.41%, see rank | 13.03% | 10.52% |
Median Rooms | 5.60, see rank | 6.00 | 5.50 |
US Census 2000 data
| 15431 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,322, 100% | 5,249,750 | 115,904,641 |
1 Room | 15, 0.65%, see rank | 1.19% | 2.20% |
2 Rooms | 70, 3.01%, see rank | 2.73% | 4.81% |
3 Rooms | 111, 4.78%, see rank | 7.69% | 9.84% |
4 Rooms | 478, 20.59%, see rank | 12.73% | 15.97% |
5 Rooms | 568, 24.46%, see rank | 17.61% | 20.89% |
6 Rooms | 524, 22.57%, see rank | 23.25% | 18.45% |
7 Rooms | 307, 13.22%, see rank | 14.62% | 12.06% |
8 Rooms | 149, 6.42%, see rank | 10.69% | 8.06% |
9 Rooms or More | 100, 4.31%, 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.