16345 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16345 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,802, 100% | 5,578,393 | 132,741,033 |
1 Room | 36, 2.00%, see rank | 1.73% | 1.95% |
2 Rooms | 23, 1.28%, see rank | 1.73% | 2.48% |
3 Rooms | 69, 3.83%, see rank | 7.21% | 9.13% |
4 Rooms | 145, 8.05%, see rank | 12.40% | 16.60% |
5 Rooms | 239, 13.26%, see rank | 16.40% | 20.41% |
6 Rooms | 383, 21.25%, see rank | 21.82% | 18.06% |
7 Rooms | 369, 20.48%, see rank | 14.82% | 12.27% |
8 Rooms | 254, 14.10%, see rank | 10.70% | 8.48% |
9 Rooms or More | 284, 15.76%, see rank | 13.18% | 10.60% |
Median Rooms | 6.50, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16345 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,732, 100% | 5,563,832 | 131,642,457 |
1 Room | 27, 1.56%, see rank | 1.68% | 1.95% |
2 Rooms | 4, 0.23%, see rank | 1.69% | 2.36% |
3 Rooms | 52, 3.00%, see rank | 7.15% | 8.97% |
4 Rooms | 154, 8.89%, see rank | 12.46% | 16.57% |
5 Rooms | 285, 16.45%, see rank | 16.43% | 20.41% |
6 Rooms | 356, 20.55%, see rank | 21.86% | 18.25% |
7 Rooms | 353, 20.38%, see rank | 14.93% | 12.38% |
8 Rooms | 221, 12.76%, see rank | 10.77% | 8.59% |
9 Rooms or More | 280, 16.17%, see rank | 13.03% | 10.52% |
Median Rooms | 6.50, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16345 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,732, 100% | 5,249,750 | 115,904,641 |
1 Room | 24, 1.39%, see rank | 1.19% | 2.20% |
2 Rooms | 48, 2.77%, see rank | 2.73% | 4.81% |
3 Rooms | 63, 3.64%, see rank | 7.69% | 9.84% |
4 Rooms | 183, 10.57%, see rank | 12.73% | 15.97% |
5 Rooms | 312, 18.01%, see rank | 17.61% | 20.89% |
6 Rooms | 419, 24.19%, see rank | 23.25% | 18.45% |
7 Rooms | 310, 17.90%, see rank | 14.62% | 12.06% |
8 Rooms | 206, 11.89%, see rank | 10.69% | 8.06% |
9 Rooms or More | 167, 9.64%, see rank | 9.49% | 7.70% |
Median Rooms | 6.10, 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.