16946 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16946 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,143, 100% | 5,578,393 | 132,741,033 |
1 Room | 24, 2.10%, see rank | 1.73% | 1.95% |
2 Rooms | 8, 0.70%, see rank | 1.73% | 2.48% |
3 Rooms | 61, 5.34%, see rank | 7.21% | 9.13% |
4 Rooms | 158, 13.82%, see rank | 12.40% | 16.60% |
5 Rooms | 342, 29.92%, see rank | 16.40% | 20.41% |
6 Rooms | 228, 19.95%, see rank | 21.82% | 18.06% |
7 Rooms | 121, 10.59%, see rank | 14.82% | 12.27% |
8 Rooms | 100, 8.75%, see rank | 10.70% | 8.48% |
9 Rooms or More | 101, 8.84%, see rank | 13.18% | 10.60% |
Median Rooms | 5.40, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16946 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,146, 100% | 5,563,832 | 131,642,457 |
1 Room | 20, 1.75%, see rank | 1.68% | 1.95% |
2 Rooms | 21, 1.83%, see rank | 1.69% | 2.36% |
3 Rooms | 83, 7.24%, see rank | 7.15% | 8.97% |
4 Rooms | 144, 12.57%, see rank | 12.46% | 16.57% |
5 Rooms | 320, 27.92%, see rank | 16.43% | 20.41% |
6 Rooms | 253, 22.08%, see rank | 21.86% | 18.25% |
7 Rooms | 98, 8.55%, see rank | 14.93% | 12.38% |
8 Rooms | 78, 6.81%, see rank | 10.77% | 8.59% |
9 Rooms or More | 129, 11.26%, see rank | 13.03% | 10.52% |
Median Rooms | 5.50, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16946 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,130, 100% | 5,249,750 | 115,904,641 |
1 Room | 5, 0.44%, see rank | 1.19% | 2.20% |
2 Rooms | 24, 2.12%, see rank | 2.73% | 4.81% |
3 Rooms | 35, 3.10%, see rank | 7.69% | 9.84% |
4 Rooms | 175, 15.49%, see rank | 12.73% | 15.97% |
5 Rooms | 275, 24.34%, see rank | 17.61% | 20.89% |
6 Rooms | 257, 22.74%, see rank | 23.25% | 18.45% |
7 Rooms | 169, 14.96%, see rank | 14.62% | 12.06% |
8 Rooms | 93, 8.23%, see rank | 10.69% | 8.06% |
9 Rooms or More | 97, 8.58%, see rank | 9.49% | 7.70% |
Median Rooms | 5.70, 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.