16314 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16314 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,564, 100% | 5,578,393 | 132,741,033 |
1 Room | 50, 1.95%, see rank | 1.73% | 1.95% |
2 Rooms | 47, 1.83%, see rank | 1.73% | 2.48% |
3 Rooms | 86, 3.35%, see rank | 7.21% | 9.13% |
4 Rooms | 320, 12.48%, see rank | 12.40% | 16.60% |
5 Rooms | 537, 20.94%, see rank | 16.40% | 20.41% |
6 Rooms | 561, 21.88%, see rank | 21.82% | 18.06% |
7 Rooms | 395, 15.41%, see rank | 14.82% | 12.27% |
8 Rooms | 203, 7.92%, see rank | 10.70% | 8.48% |
9 Rooms or More | 365, 14.24%, see rank | 13.18% | 10.60% |
Median Rooms | 5.90, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16314 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,614, 100% | 5,563,832 | 131,642,457 |
1 Room | 48, 1.84%, see rank | 1.68% | 1.95% |
2 Rooms | 39, 1.49%, see rank | 1.69% | 2.36% |
3 Rooms | 78, 2.98%, see rank | 7.15% | 8.97% |
4 Rooms | 325, 12.43%, see rank | 12.46% | 16.57% |
5 Rooms | 527, 20.16%, see rank | 16.43% | 20.41% |
6 Rooms | 595, 22.76%, see rank | 21.86% | 18.25% |
7 Rooms | 431, 16.49%, see rank | 14.93% | 12.38% |
8 Rooms | 236, 9.03%, see rank | 10.77% | 8.59% |
9 Rooms or More | 335, 12.82%, see rank | 13.03% | 10.52% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16314 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,513, 100% | 5,249,750 | 115,904,641 |
1 Room | 14, 0.56%, see rank | 1.19% | 2.20% |
2 Rooms | 23, 0.92%, see rank | 2.73% | 4.81% |
3 Rooms | 140, 5.57%, see rank | 7.69% | 9.84% |
4 Rooms | 342, 13.61%, see rank | 12.73% | 15.97% |
5 Rooms | 590, 23.48%, see rank | 17.61% | 20.89% |
6 Rooms | 572, 22.76%, see rank | 23.25% | 18.45% |
7 Rooms | 415, 16.51%, see rank | 14.62% | 12.06% |
8 Rooms | 201, 8.00%, see rank | 10.69% | 8.06% |
9 Rooms or More | 216, 8.60%, 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.