17538 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17538 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,525, 100% | 5,578,393 | 132,741,033 |
1 Room | 50, 1.98%, see rank | 1.73% | 1.95% |
2 Rooms | 64, 2.53%, see rank | 1.73% | 2.48% |
3 Rooms | 49, 1.94%, see rank | 7.21% | 9.13% |
4 Rooms | 30, 1.19%, see rank | 12.40% | 16.60% |
5 Rooms | 161, 6.38%, see rank | 16.40% | 20.41% |
6 Rooms | 306, 12.12%, see rank | 21.82% | 18.06% |
7 Rooms | 606, 24.00%, see rank | 14.82% | 12.27% |
8 Rooms | 444, 17.58%, see rank | 10.70% | 8.48% |
9 Rooms or More | 815, 32.28%, see rank | 13.18% | 10.60% |
Median Rooms | 7.50, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17538 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,498, 100% | 5,563,832 | 131,642,457 |
1 Room | 37, 1.48%, see rank | 1.68% | 1.95% |
2 Rooms | 40, 1.60%, see rank | 1.69% | 2.36% |
3 Rooms | 21, 0.84%, see rank | 7.15% | 8.97% |
4 Rooms | 37, 1.48%, see rank | 12.46% | 16.57% |
5 Rooms | 205, 8.21%, see rank | 16.43% | 20.41% |
6 Rooms | 341, 13.65%, see rank | 21.86% | 18.25% |
7 Rooms | 577, 23.10%, see rank | 14.93% | 12.38% |
8 Rooms | 442, 17.69%, see rank | 10.77% | 8.59% |
9 Rooms or More | 798, 31.95%, see rank | 13.03% | 10.52% |
Median Rooms | 7.50, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17538 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,264, 100% | 5,249,750 | 115,904,641 |
1 Room | 8, 0.35%, see rank | 1.19% | 2.20% |
2 Rooms | 14, 0.62%, see rank | 2.73% | 4.81% |
3 Rooms | 92, 4.06%, see rank | 7.69% | 9.84% |
4 Rooms | 149, 6.58%, see rank | 12.73% | 15.97% |
5 Rooms | 195, 8.61%, see rank | 17.61% | 20.89% |
6 Rooms | 414, 18.29%, see rank | 23.25% | 18.45% |
7 Rooms | 465, 20.54%, see rank | 14.62% | 12.06% |
8 Rooms | 608, 26.86%, see rank | 10.69% | 8.06% |
9 Rooms or More | 319, 14.09%, see rank | 9.49% | 7.70% |
Median Rooms | 7.10, 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.