16836 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16836 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,059, 100% | 5,578,393 | 132,741,033 |
1 Room | 45, 4.25%, see rank | 1.73% | 1.95% |
2 Rooms | 80, 7.55%, see rank | 1.73% | 2.48% |
3 Rooms | 139, 13.13%, see rank | 7.21% | 9.13% |
4 Rooms | 182, 17.19%, see rank | 12.40% | 16.60% |
5 Rooms | 207, 19.55%, see rank | 16.40% | 20.41% |
6 Rooms | 145, 13.69%, see rank | 21.82% | 18.06% |
7 Rooms | 108, 10.20%, see rank | 14.82% | 12.27% |
8 Rooms | 66, 6.23%, see rank | 10.70% | 8.48% |
9 Rooms or More | 87, 8.22%, see rank | 13.18% | 10.60% |
Median Rooms | 4.90, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16836 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,065, 100% | 5,563,832 | 131,642,457 |
1 Room | 26, 2.44%, see rank | 1.68% | 1.95% |
2 Rooms | 33, 3.10%, see rank | 1.69% | 2.36% |
3 Rooms | 63, 5.92%, see rank | 7.15% | 8.97% |
4 Rooms | 167, 15.68%, see rank | 12.46% | 16.57% |
5 Rooms | 220, 20.66%, see rank | 16.43% | 20.41% |
6 Rooms | 255, 23.94%, see rank | 21.86% | 18.25% |
7 Rooms | 158, 14.84%, see rank | 14.93% | 12.38% |
8 Rooms | 80, 7.51%, see rank | 10.77% | 8.59% |
9 Rooms or More | 63, 5.92%, see rank | 13.03% | 10.52% |
Median Rooms | 5.60, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16836 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 956, 100% | 5,249,750 | 115,904,641 |
1 Room | 48, 5.02%, see rank | 1.19% | 2.20% |
2 Rooms | 71, 7.43%, see rank | 2.73% | 4.81% |
3 Rooms | 65, 6.80%, see rank | 7.69% | 9.84% |
4 Rooms | 119, 12.45%, see rank | 12.73% | 15.97% |
5 Rooms | 212, 22.18%, see rank | 17.61% | 20.89% |
6 Rooms | 170, 17.78%, see rank | 23.25% | 18.45% |
7 Rooms | 128, 13.39%, see rank | 14.62% | 12.06% |
8 Rooms | 83, 8.68%, see rank | 10.69% | 8.06% |
9 Rooms or More | 60, 6.28%, see rank | 9.49% | 7.70% |
Median Rooms | 5.30, 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.