18706 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 18706 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 7,841, 100% | 5,578,393 | 132,741,033 |
1 Room | 86, 1.10%, see rank | 1.73% | 1.95% |
2 Rooms | 105, 1.34%, see rank | 1.73% | 2.48% |
3 Rooms | 501, 6.39%, see rank | 7.21% | 9.13% |
4 Rooms | 1,097, 13.99%, see rank | 12.40% | 16.60% |
5 Rooms | 1,548, 19.74%, see rank | 16.40% | 20.41% |
6 Rooms | 2,263, 28.86%, see rank | 21.82% | 18.06% |
7 Rooms | 882, 11.25%, see rank | 14.82% | 12.27% |
8 Rooms | 668, 8.52%, see rank | 10.70% | 8.48% |
9 Rooms or More | 691, 8.81%, see rank | 13.18% | 10.60% |
Median Rooms | 5.80, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 18706 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 7,935, 100% | 5,563,832 | 131,642,457 |
1 Room | 89, 1.12%, see rank | 1.68% | 1.95% |
2 Rooms | 133, 1.68%, see rank | 1.69% | 2.36% |
3 Rooms | 425, 5.36%, see rank | 7.15% | 8.97% |
4 Rooms | 1,094, 13.79%, see rank | 12.46% | 16.57% |
5 Rooms | 1,449, 18.26%, see rank | 16.43% | 20.41% |
6 Rooms | 2,430, 30.62%, see rank | 21.86% | 18.25% |
7 Rooms | 1,019, 12.84%, see rank | 14.93% | 12.38% |
8 Rooms | 654, 8.24%, see rank | 10.77% | 8.59% |
9 Rooms or More | 642, 8.09%, see rank | 13.03% | 10.52% |
Median Rooms | 5.80, see rank | 6.00 | 5.50 |
US Census 2000 data
| 18706 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,596, 100% | 5,249,750 | 115,904,641 |
1 Room | 12, 0.33%, see rank | 1.19% | 2.20% |
2 Rooms | 16, 0.44%, see rank | 2.73% | 4.81% |
3 Rooms | 163, 4.53%, see rank | 7.69% | 9.84% |
4 Rooms | 464, 12.90%, see rank | 12.73% | 15.97% |
5 Rooms | 779, 21.66%, see rank | 17.61% | 20.89% |
6 Rooms | 1,308, 36.37%, see rank | 23.25% | 18.45% |
7 Rooms | 360, 10.01%, see rank | 14.62% | 12.06% |
8 Rooms | 281, 7.81%, see rank | 10.69% | 8.06% |
9 Rooms or More | 213, 5.92%, 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.