17764 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17764 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,862, 100% | 5,578,393 | 132,741,033 |
1 Room | 40, 2.15%, see rank | 1.73% | 1.95% |
2 Rooms | 80, 4.30%, see rank | 1.73% | 2.48% |
3 Rooms | 145, 7.79%, see rank | 7.21% | 9.13% |
4 Rooms | 291, 15.63%, see rank | 12.40% | 16.60% |
5 Rooms | 350, 18.80%, see rank | 16.40% | 20.41% |
6 Rooms | 404, 21.70%, see rank | 21.82% | 18.06% |
7 Rooms | 216, 11.60%, see rank | 14.82% | 12.27% |
8 Rooms | 137, 7.36%, see rank | 10.70% | 8.48% |
9 Rooms or More | 199, 10.69%, see rank | 13.18% | 10.60% |
Median Rooms | 5.60, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17764 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,793, 100% | 5,563,832 | 131,642,457 |
1 Room | 47, 2.62%, see rank | 1.68% | 1.95% |
2 Rooms | 56, 3.12%, see rank | 1.69% | 2.36% |
3 Rooms | 95, 5.30%, see rank | 7.15% | 8.97% |
4 Rooms | 205, 11.43%, see rank | 12.46% | 16.57% |
5 Rooms | 378, 21.08%, see rank | 16.43% | 20.41% |
6 Rooms | 421, 23.48%, see rank | 21.86% | 18.25% |
7 Rooms | 251, 14.00%, see rank | 14.93% | 12.38% |
8 Rooms | 136, 7.59%, see rank | 10.77% | 8.59% |
9 Rooms or More | 204, 11.38%, see rank | 13.03% | 10.52% |
Median Rooms | 5.80, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17764 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,996, 100% | 5,249,750 | 115,904,641 |
1 Room | 33, 1.65%, see rank | 1.19% | 2.20% |
2 Rooms | 94, 4.71%, see rank | 2.73% | 4.81% |
3 Rooms | 172, 8.62%, see rank | 7.69% | 9.84% |
4 Rooms | 307, 15.38%, see rank | 12.73% | 15.97% |
5 Rooms | 350, 17.54%, see rank | 17.61% | 20.89% |
6 Rooms | 580, 29.06%, see rank | 23.25% | 18.45% |
7 Rooms | 194, 9.72%, see rank | 14.62% | 12.06% |
8 Rooms | 165, 8.27%, see rank | 10.69% | 8.06% |
9 Rooms or More | 101, 5.06%, 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.