Imperial, PA Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| Imperial, PA | Pennsylvania | U.S. |
Total Housing Units | 1,350, 100% | 5,578,393 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.73% | 1.95% |
2 Rooms | 110, 8.15%, see rank | 1.73% | 2.48% |
3 Rooms | 134, 9.93%, see rank | 7.21% | 9.13% |
4 Rooms | 157, 11.63%, see rank | 12.40% | 16.60% |
5 Rooms | 171, 12.67%, see rank | 16.40% | 20.41% |
6 Rooms | 335, 24.81%, see rank | 21.82% | 18.06% |
7 Rooms | 205, 15.19%, see rank | 14.82% | 12.27% |
8 Rooms | 125, 9.26%, see rank | 10.70% | 8.48% |
9 Rooms or More | 113, 8.37%, see rank | 13.18% | 10.60% |
Median Rooms | 5.80, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| Imperial, PA | Pennsylvania | U.S. |
Total Housing Units | 1,128, 100% | 5,563,832 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.68% | 1.95% |
2 Rooms | 48, 4.26%, see rank | 1.69% | 2.36% |
3 Rooms | 58, 5.14%, see rank | 7.15% | 8.97% |
4 Rooms | 161, 14.27%, see rank | 12.46% | 16.57% |
5 Rooms | 118, 10.46%, see rank | 16.43% | 20.41% |
6 Rooms | 187, 16.58%, see rank | 21.86% | 18.25% |
7 Rooms | 248, 21.99%, see rank | 14.93% | 12.38% |
8 Rooms | 181, 16.05%, see rank | 10.77% | 8.59% |
9 Rooms or More | 127, 11.26%, see rank | 13.03% | 10.52% |
Median Rooms | 6.50, see rank | 6.00 | 5.50 |
ACS 2006-2010 data
| Imperial, PA | Pennsylvania | U.S. |
Total Housing Units | 1,085, 100% | 5,537,308 | 130,038,080 |
1 Room | 0, 0.00%, see rank | 1.30% | 1.59% |
2 Rooms | 45, 4.15%, see rank | 1.97% | 2.62% |
3 Rooms | 41, 3.78%, see rank | 7.16% | 9.02% |
4 Rooms | 219, 20.18%, see rank | 12.72% | 16.85% |
5 Rooms | 79, 7.28%, see rank | 16.95% | 20.93% |
6 Rooms | 134, 12.35%, see rank | 22.45% | 18.56% |
7 Rooms | 224, 20.65%, see rank | 14.86% | 12.38% |
8 Rooms | 173, 15.94%, see rank | 10.72% | 8.39% |
9 Rooms or More | 170, 15.67%, see rank | 11.87% | 9.65% |
Median Rooms | 6.60, see rank | 5.90 | 5.50 |
* 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.