18618 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 18618 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,276, 100% | 5,578,393 | 132,741,033 |
1 Room | 29, 1.27%, see rank | 1.73% | 1.95% |
2 Rooms | 43, 1.89%, see rank | 1.73% | 2.48% |
3 Rooms | 205, 9.01%, see rank | 7.21% | 9.13% |
4 Rooms | 224, 9.84%, see rank | 12.40% | 16.60% |
5 Rooms | 388, 17.05%, see rank | 16.40% | 20.41% |
6 Rooms | 557, 24.47%, see rank | 21.82% | 18.06% |
7 Rooms | 416, 18.28%, see rank | 14.82% | 12.27% |
8 Rooms | 239, 10.50%, see rank | 10.70% | 8.48% |
9 Rooms or More | 175, 7.69%, see rank | 13.18% | 10.60% |
Median Rooms | 5.90, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 18618 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,116, 100% | 5,563,832 | 131,642,457 |
1 Room | 4, 0.19%, see rank | 1.68% | 1.95% |
2 Rooms | 27, 1.28%, see rank | 1.69% | 2.36% |
3 Rooms | 155, 7.33%, see rank | 7.15% | 8.97% |
4 Rooms | 235, 11.11%, see rank | 12.46% | 16.57% |
5 Rooms | 288, 13.61%, see rank | 16.43% | 20.41% |
6 Rooms | 612, 28.92%, see rank | 21.86% | 18.25% |
7 Rooms | 319, 15.08%, see rank | 14.93% | 12.38% |
8 Rooms | 288, 13.61%, see rank | 10.77% | 8.59% |
9 Rooms or More | 188, 8.88%, see rank | 13.03% | 10.52% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
US Census 2000 data
| 18618 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,144, 100% | 5,249,750 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.19% | 2.20% |
2 Rooms | 34, 1.59%, see rank | 2.73% | 4.81% |
3 Rooms | 116, 5.41%, see rank | 7.69% | 9.84% |
4 Rooms | 265, 12.36%, see rank | 12.73% | 15.97% |
5 Rooms | 510, 23.79%, see rank | 17.61% | 20.89% |
6 Rooms | 489, 22.81%, see rank | 23.25% | 18.45% |
7 Rooms | 324, 15.11%, see rank | 14.62% | 12.06% |
8 Rooms | 221, 10.31%, see rank | 10.69% | 8.06% |
9 Rooms or More | 185, 8.63%, 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.