16434 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16434 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,084, 100% | 5,578,393 | 132,741,033 |
1 Room | 23, 2.12%, see rank | 1.73% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.73% | 2.48% |
3 Rooms | 63, 5.81%, see rank | 7.21% | 9.13% |
4 Rooms | 106, 9.78%, see rank | 12.40% | 16.60% |
5 Rooms | 199, 18.36%, see rank | 16.40% | 20.41% |
6 Rooms | 208, 19.19%, see rank | 21.82% | 18.06% |
7 Rooms | 167, 15.41%, see rank | 14.82% | 12.27% |
8 Rooms | 103, 9.50%, see rank | 10.70% | 8.48% |
9 Rooms or More | 215, 19.83%, see rank | 13.18% | 10.60% |
Median Rooms | 6.20, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16434 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,132, 100% | 5,563,832 | 131,642,457 |
1 Room | 21, 1.86%, see rank | 1.68% | 1.95% |
2 Rooms | 13, 1.15%, see rank | 1.69% | 2.36% |
3 Rooms | 67, 5.92%, see rank | 7.15% | 8.97% |
4 Rooms | 135, 11.93%, see rank | 12.46% | 16.57% |
5 Rooms | 206, 18.20%, see rank | 16.43% | 20.41% |
6 Rooms | 193, 17.05%, see rank | 21.86% | 18.25% |
7 Rooms | 165, 14.58%, see rank | 14.93% | 12.38% |
8 Rooms | 128, 11.31%, see rank | 10.77% | 8.59% |
9 Rooms or More | 204, 18.02%, see rank | 13.03% | 10.52% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16434 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,020, 100% | 5,249,750 | 115,904,641 |
1 Room | 4, 0.39%, see rank | 1.19% | 2.20% |
2 Rooms | 22, 2.16%, see rank | 2.73% | 4.81% |
3 Rooms | 75, 7.35%, see rank | 7.69% | 9.84% |
4 Rooms | 158, 15.49%, see rank | 12.73% | 15.97% |
5 Rooms | 202, 19.80%, see rank | 17.61% | 20.89% |
6 Rooms | 150, 14.71%, see rank | 23.25% | 18.45% |
7 Rooms | 180, 17.65%, see rank | 14.62% | 12.06% |
8 Rooms | 117, 11.47%, see rank | 10.69% | 8.06% |
9 Rooms or More | 112, 10.98%, see rank | 9.49% | 7.70% |
Median Rooms | 5.80, 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.