17948 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17948 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,746, 100% | 5,578,393 | 132,741,033 |
1 Room | 9, 0.33%, see rank | 1.73% | 1.95% |
2 Rooms | 7, 0.25%, see rank | 1.73% | 2.48% |
3 Rooms | 113, 4.12%, see rank | 7.21% | 9.13% |
4 Rooms | 344, 12.53%, see rank | 12.40% | 16.60% |
5 Rooms | 258, 9.40%, see rank | 16.40% | 20.41% |
6 Rooms | 712, 25.93%, see rank | 21.82% | 18.06% |
7 Rooms | 462, 16.82%, see rank | 14.82% | 12.27% |
8 Rooms | 342, 12.45%, see rank | 10.70% | 8.48% |
9 Rooms or More | 499, 18.17%, see rank | 13.18% | 10.60% |
Median Rooms | 6.40, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17948 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,870, 100% | 5,563,832 | 131,642,457 |
1 Room | 41, 1.43%, see rank | 1.68% | 1.95% |
2 Rooms | 7, 0.24%, see rank | 1.69% | 2.36% |
3 Rooms | 165, 5.75%, see rank | 7.15% | 8.97% |
4 Rooms | 325, 11.32%, see rank | 12.46% | 16.57% |
5 Rooms | 269, 9.37%, see rank | 16.43% | 20.41% |
6 Rooms | 872, 30.38%, see rank | 21.86% | 18.25% |
7 Rooms | 415, 14.46%, see rank | 14.93% | 12.38% |
8 Rooms | 355, 12.37%, see rank | 10.77% | 8.59% |
9 Rooms or More | 421, 14.67%, see rank | 13.03% | 10.52% |
Median Rooms | 6.20, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17948 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,066, 100% | 5,249,750 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.19% | 2.20% |
2 Rooms | 16, 0.52%, see rank | 2.73% | 4.81% |
3 Rooms | 201, 6.56%, see rank | 7.69% | 9.84% |
4 Rooms | 214, 6.98%, see rank | 12.73% | 15.97% |
5 Rooms | 623, 20.32%, see rank | 17.61% | 20.89% |
6 Rooms | 764, 24.92%, see rank | 23.25% | 18.45% |
7 Rooms | 423, 13.80%, see rank | 14.62% | 12.06% |
8 Rooms | 419, 13.67%, see rank | 10.69% | 8.06% |
9 Rooms or More | 406, 13.24%, see rank | 9.49% | 7.70% |
Median Rooms | 6.10, 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.