16401 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16401 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,979, 100% | 5,578,393 | 132,741,033 |
1 Room | 5, 0.25%, see rank | 1.73% | 1.95% |
2 Rooms | 15, 0.76%, see rank | 1.73% | 2.48% |
3 Rooms | 73, 3.69%, see rank | 7.21% | 9.13% |
4 Rooms | 233, 11.77%, see rank | 12.40% | 16.60% |
5 Rooms | 427, 21.58%, see rank | 16.40% | 20.41% |
6 Rooms | 371, 18.75%, see rank | 21.82% | 18.06% |
7 Rooms | 344, 17.38%, see rank | 14.82% | 12.27% |
8 Rooms | 208, 10.51%, see rank | 10.70% | 8.48% |
9 Rooms or More | 303, 15.31%, see rank | 13.18% | 10.60% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16401 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,930, 100% | 5,563,832 | 131,642,457 |
1 Room | 12, 0.62%, see rank | 1.68% | 1.95% |
2 Rooms | 21, 1.09%, see rank | 1.69% | 2.36% |
3 Rooms | 73, 3.78%, see rank | 7.15% | 8.97% |
4 Rooms | 238, 12.33%, see rank | 12.46% | 16.57% |
5 Rooms | 341, 17.67%, see rank | 16.43% | 20.41% |
6 Rooms | 461, 23.89%, see rank | 21.86% | 18.25% |
7 Rooms | 322, 16.68%, see rank | 14.93% | 12.38% |
8 Rooms | 205, 10.62%, see rank | 10.77% | 8.59% |
9 Rooms or More | 257, 13.32%, see rank | 13.03% | 10.52% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16401 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,790, 100% | 5,249,750 | 115,904,641 |
1 Room | 3, 0.17%, see rank | 1.19% | 2.20% |
2 Rooms | 25, 1.40%, see rank | 2.73% | 4.81% |
3 Rooms | 128, 7.15%, see rank | 7.69% | 9.84% |
4 Rooms | 242, 13.52%, see rank | 12.73% | 15.97% |
5 Rooms | 384, 21.45%, see rank | 17.61% | 20.89% |
6 Rooms | 427, 23.85%, see rank | 23.25% | 18.45% |
7 Rooms | 312, 17.43%, see rank | 14.62% | 12.06% |
8 Rooms | 132, 7.37%, see rank | 10.69% | 8.06% |
9 Rooms or More | 137, 7.65%, 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.