16412 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16412 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 5,037, 100% | 5,578,393 | 132,741,033 |
1 Room | 193, 3.83%, see rank | 1.73% | 1.95% |
2 Rooms | 203, 4.03%, see rank | 1.73% | 2.48% |
3 Rooms | 458, 9.09%, see rank | 7.21% | 9.13% |
4 Rooms | 643, 12.77%, see rank | 12.40% | 16.60% |
5 Rooms | 996, 19.77%, see rank | 16.40% | 20.41% |
6 Rooms | 841, 16.70%, see rank | 21.82% | 18.06% |
7 Rooms | 729, 14.47%, see rank | 14.82% | 12.27% |
8 Rooms | 391, 7.76%, see rank | 10.70% | 8.48% |
9 Rooms or More | 583, 11.57%, see rank | 13.18% | 10.60% |
Median Rooms | 5.50, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16412 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 5,367, 100% | 5,563,832 | 131,642,457 |
1 Room | 224, 4.17%, see rank | 1.68% | 1.95% |
2 Rooms | 213, 3.97%, see rank | 1.69% | 2.36% |
3 Rooms | 493, 9.19%, see rank | 7.15% | 8.97% |
4 Rooms | 814, 15.17%, see rank | 12.46% | 16.57% |
5 Rooms | 1,022, 19.04%, see rank | 16.43% | 20.41% |
6 Rooms | 840, 15.65%, see rank | 21.86% | 18.25% |
7 Rooms | 733, 13.66%, see rank | 14.93% | 12.38% |
8 Rooms | 460, 8.57%, see rank | 10.77% | 8.59% |
9 Rooms or More | 568, 10.58%, see rank | 13.03% | 10.52% |
Median Rooms | 5.40, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16412 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 4,426, 100% | 5,249,750 | 115,904,641 |
1 Room | 107, 2.42%, see rank | 1.19% | 2.20% |
2 Rooms | 120, 2.71%, see rank | 2.73% | 4.81% |
3 Rooms | 378, 8.54%, see rank | 7.69% | 9.84% |
4 Rooms | 742, 16.76%, see rank | 12.73% | 15.97% |
5 Rooms | 769, 17.37%, see rank | 17.61% | 20.89% |
6 Rooms | 754, 17.04%, see rank | 23.25% | 18.45% |
7 Rooms | 727, 16.43%, see rank | 14.62% | 12.06% |
8 Rooms | 477, 10.78%, see rank | 10.69% | 8.06% |
9 Rooms or More | 352, 7.95%, see rank | 9.49% | 7.70% |
Median Rooms | 5.60, 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.