15946 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 15946 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,039, 100% | 5,578,393 | 132,741,033 |
1 Room | 4, 0.13%, see rank | 1.73% | 1.95% |
2 Rooms | 46, 1.51%, see rank | 1.73% | 2.48% |
3 Rooms | 75, 2.47%, see rank | 7.21% | 9.13% |
4 Rooms | 293, 9.64%, see rank | 12.40% | 16.60% |
5 Rooms | 559, 18.39%, see rank | 16.40% | 20.41% |
6 Rooms | 851, 28.00%, see rank | 21.82% | 18.06% |
7 Rooms | 584, 19.22%, see rank | 14.82% | 12.27% |
8 Rooms | 301, 9.90%, see rank | 10.70% | 8.48% |
9 Rooms or More | 326, 10.73%, see rank | 13.18% | 10.60% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 15946 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,062, 100% | 5,563,832 | 131,642,457 |
1 Room | 4, 0.13%, see rank | 1.68% | 1.95% |
2 Rooms | 22, 0.72%, see rank | 1.69% | 2.36% |
3 Rooms | 86, 2.81%, see rank | 7.15% | 8.97% |
4 Rooms | 229, 7.48%, see rank | 12.46% | 16.57% |
5 Rooms | 642, 20.97%, see rank | 16.43% | 20.41% |
6 Rooms | 984, 32.14%, see rank | 21.86% | 18.25% |
7 Rooms | 532, 17.37%, see rank | 14.93% | 12.38% |
8 Rooms | 269, 8.79%, see rank | 10.77% | 8.59% |
9 Rooms or More | 294, 9.60%, see rank | 13.03% | 10.52% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
US Census 2000 data
| 15946 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,096, 100% | 5,249,750 | 115,904,641 |
1 Room | 6, 0.19%, see rank | 1.19% | 2.20% |
2 Rooms | 22, 0.71%, see rank | 2.73% | 4.81% |
3 Rooms | 114, 3.68%, see rank | 7.69% | 9.84% |
4 Rooms | 388, 12.53%, see rank | 12.73% | 15.97% |
5 Rooms | 627, 20.25%, see rank | 17.61% | 20.89% |
6 Rooms | 1,029, 33.24%, see rank | 23.25% | 18.45% |
7 Rooms | 420, 13.57%, see rank | 14.62% | 12.06% |
8 Rooms | 299, 9.66%, see rank | 10.69% | 8.06% |
9 Rooms or More | 191, 6.17%, see rank | 9.49% | 7.70% |
Median Rooms | 5.90, 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.