17752 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17752 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,946, 100% | 5,578,393 | 132,741,033 |
1 Room | 25, 1.28%, see rank | 1.73% | 1.95% |
2 Rooms | 11, 0.57%, see rank | 1.73% | 2.48% |
3 Rooms | 76, 3.91%, see rank | 7.21% | 9.13% |
4 Rooms | 217, 11.15%, see rank | 12.40% | 16.60% |
5 Rooms | 287, 14.75%, see rank | 16.40% | 20.41% |
6 Rooms | 531, 27.29%, see rank | 21.82% | 18.06% |
7 Rooms | 343, 17.63%, see rank | 14.82% | 12.27% |
8 Rooms | 219, 11.25%, see rank | 10.70% | 8.48% |
9 Rooms or More | 237, 12.18%, see rank | 13.18% | 10.60% |
Median Rooms | 6.20, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17752 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,958, 100% | 5,563,832 | 131,642,457 |
1 Room | 8, 0.41%, see rank | 1.68% | 1.95% |
2 Rooms | 7, 0.36%, see rank | 1.69% | 2.36% |
3 Rooms | 92, 4.70%, see rank | 7.15% | 8.97% |
4 Rooms | 238, 12.16%, see rank | 12.46% | 16.57% |
5 Rooms | 361, 18.44%, see rank | 16.43% | 20.41% |
6 Rooms | 539, 27.53%, see rank | 21.86% | 18.25% |
7 Rooms | 275, 14.04%, see rank | 14.93% | 12.38% |
8 Rooms | 189, 9.65%, see rank | 10.77% | 8.59% |
9 Rooms or More | 249, 12.72%, see rank | 13.03% | 10.52% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17752 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,005, 100% | 5,249,750 | 115,904,641 |
1 Room | 2, 0.10%, see rank | 1.19% | 2.20% |
2 Rooms | 16, 0.80%, see rank | 2.73% | 4.81% |
3 Rooms | 100, 4.99%, see rank | 7.69% | 9.84% |
4 Rooms | 230, 11.47%, see rank | 12.73% | 15.97% |
5 Rooms | 506, 25.24%, see rank | 17.61% | 20.89% |
6 Rooms | 525, 26.18%, see rank | 23.25% | 18.45% |
7 Rooms | 321, 16.01%, see rank | 14.62% | 12.06% |
8 Rooms | 172, 8.58%, see rank | 10.69% | 8.06% |
9 Rooms or More | 133, 6.63%, 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.