16025 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16025 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,252, 100% | 5,578,393 | 132,741,033 |
1 Room | 4, 0.18%, see rank | 1.73% | 1.95% |
2 Rooms | 3, 0.13%, see rank | 1.73% | 2.48% |
3 Rooms | 63, 2.80%, see rank | 7.21% | 9.13% |
4 Rooms | 260, 11.55%, see rank | 12.40% | 16.60% |
5 Rooms | 397, 17.63%, see rank | 16.40% | 20.41% |
6 Rooms | 594, 26.38%, see rank | 21.82% | 18.06% |
7 Rooms | 390, 17.32%, see rank | 14.82% | 12.27% |
8 Rooms | 311, 13.81%, see rank | 10.70% | 8.48% |
9 Rooms or More | 230, 10.21%, see rank | 13.18% | 10.60% |
Median Rooms | 6.20, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16025 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,274, 100% | 5,563,832 | 131,642,457 |
1 Room | 10, 0.44%, see rank | 1.68% | 1.95% |
2 Rooms | 3, 0.13%, see rank | 1.69% | 2.36% |
3 Rooms | 79, 3.47%, see rank | 7.15% | 8.97% |
4 Rooms | 177, 7.78%, see rank | 12.46% | 16.57% |
5 Rooms | 527, 23.18%, see rank | 16.43% | 20.41% |
6 Rooms | 576, 25.33%, see rank | 21.86% | 18.25% |
7 Rooms | 388, 17.06%, see rank | 14.93% | 12.38% |
8 Rooms | 252, 11.08%, see rank | 10.77% | 8.59% |
9 Rooms or More | 262, 11.52%, see rank | 13.03% | 10.52% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16025 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,200, 100% | 5,249,750 | 115,904,641 |
1 Room | 2, 0.09%, see rank | 1.19% | 2.20% |
2 Rooms | 23, 1.05%, see rank | 2.73% | 4.81% |
3 Rooms | 102, 4.64%, see rank | 7.69% | 9.84% |
4 Rooms | 259, 11.77%, see rank | 12.73% | 15.97% |
5 Rooms | 511, 23.23%, see rank | 17.61% | 20.89% |
6 Rooms | 591, 26.86%, see rank | 23.25% | 18.45% |
7 Rooms | 307, 13.95%, see rank | 14.62% | 12.06% |
8 Rooms | 224, 10.18%, see rank | 10.69% | 8.06% |
9 Rooms or More | 181, 8.23%, 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.