16914 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16914 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,157, 100% | 5,578,393 | 132,741,033 |
1 Room | 14, 1.21%, see rank | 1.73% | 1.95% |
2 Rooms | 9, 0.78%, see rank | 1.73% | 2.48% |
3 Rooms | 47, 4.06%, see rank | 7.21% | 9.13% |
4 Rooms | 198, 17.11%, see rank | 12.40% | 16.60% |
5 Rooms | 195, 16.85%, see rank | 16.40% | 20.41% |
6 Rooms | 223, 19.27%, see rank | 21.82% | 18.06% |
7 Rooms | 181, 15.64%, see rank | 14.82% | 12.27% |
8 Rooms | 143, 12.36%, see rank | 10.70% | 8.48% |
9 Rooms or More | 147, 12.71%, see rank | 13.18% | 10.60% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16914 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,190, 100% | 5,563,832 | 131,642,457 |
1 Room | 17, 1.43%, see rank | 1.68% | 1.95% |
2 Rooms | 21, 1.76%, see rank | 1.69% | 2.36% |
3 Rooms | 80, 6.72%, see rank | 7.15% | 8.97% |
4 Rooms | 132, 11.09%, see rank | 12.46% | 16.57% |
5 Rooms | 217, 18.24%, see rank | 16.43% | 20.41% |
6 Rooms | 251, 21.09%, see rank | 21.86% | 18.25% |
7 Rooms | 146, 12.27%, see rank | 14.93% | 12.38% |
8 Rooms | 146, 12.27%, see rank | 10.77% | 8.59% |
9 Rooms or More | 180, 15.13%, see rank | 13.03% | 10.52% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16914 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,136, 100% | 5,249,750 | 115,904,641 |
1 Room | 7, 0.62%, see rank | 1.19% | 2.20% |
2 Rooms | 23, 2.02%, see rank | 2.73% | 4.81% |
3 Rooms | 39, 3.43%, see rank | 7.69% | 9.84% |
4 Rooms | 179, 15.76%, see rank | 12.73% | 15.97% |
5 Rooms | 241, 21.21%, see rank | 17.61% | 20.89% |
6 Rooms | 217, 19.10%, see rank | 23.25% | 18.45% |
7 Rooms | 163, 14.35%, see rank | 14.62% | 12.06% |
8 Rooms | 112, 9.86%, see rank | 10.69% | 8.06% |
9 Rooms or More | 155, 13.64%, see rank | 9.49% | 7.70% |
Median Rooms | 5.90, 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.