18472 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 18472 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,938, 100% | 5,578,393 | 132,741,033 |
1 Room | 14, 0.72%, see rank | 1.73% | 1.95% |
2 Rooms | 13, 0.67%, see rank | 1.73% | 2.48% |
3 Rooms | 91, 4.70%, see rank | 7.21% | 9.13% |
4 Rooms | 185, 9.55%, see rank | 12.40% | 16.60% |
5 Rooms | 355, 18.32%, see rank | 16.40% | 20.41% |
6 Rooms | 500, 25.80%, see rank | 21.82% | 18.06% |
7 Rooms | 284, 14.65%, see rank | 14.82% | 12.27% |
8 Rooms | 251, 12.95%, see rank | 10.70% | 8.48% |
9 Rooms or More | 245, 12.64%, see rank | 13.18% | 10.60% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 18472 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,030, 100% | 5,563,832 | 131,642,457 |
1 Room | 22, 1.08%, see rank | 1.68% | 1.95% |
2 Rooms | 12, 0.59%, see rank | 1.69% | 2.36% |
3 Rooms | 84, 4.14%, see rank | 7.15% | 8.97% |
4 Rooms | 188, 9.26%, see rank | 12.46% | 16.57% |
5 Rooms | 355, 17.49%, see rank | 16.43% | 20.41% |
6 Rooms | 626, 30.84%, see rank | 21.86% | 18.25% |
7 Rooms | 265, 13.05%, see rank | 14.93% | 12.38% |
8 Rooms | 250, 12.32%, see rank | 10.77% | 8.59% |
9 Rooms or More | 228, 11.23%, see rank | 13.03% | 10.52% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
US Census 2000 data
| 18472 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,753, 100% | 5,249,750 | 115,904,641 |
1 Room | 2, 0.11%, see rank | 1.19% | 2.20% |
2 Rooms | 48, 2.74%, see rank | 2.73% | 4.81% |
3 Rooms | 86, 4.91%, see rank | 7.69% | 9.84% |
4 Rooms | 184, 10.50%, see rank | 12.73% | 15.97% |
5 Rooms | 391, 22.30%, see rank | 17.61% | 20.89% |
6 Rooms | 419, 23.90%, see rank | 23.25% | 18.45% |
7 Rooms | 291, 16.60%, see rank | 14.62% | 12.06% |
8 Rooms | 197, 11.24%, see rank | 10.69% | 8.06% |
9 Rooms or More | 135, 7.70%, see rank | 9.49% | 7.70% |
Median Rooms | 5.90, 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.