18832 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 18832 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,001, 100% | 5,578,393 | 132,741,033 |
1 Room | 24, 2.40%, see rank | 1.73% | 1.95% |
2 Rooms | 14, 1.40%, see rank | 1.73% | 2.48% |
3 Rooms | 56, 5.59%, see rank | 7.21% | 9.13% |
4 Rooms | 108, 10.79%, see rank | 12.40% | 16.60% |
5 Rooms | 186, 18.58%, see rank | 16.40% | 20.41% |
6 Rooms | 260, 25.97%, see rank | 21.82% | 18.06% |
7 Rooms | 169, 16.88%, see rank | 14.82% | 12.27% |
8 Rooms | 74, 7.39%, see rank | 10.70% | 8.48% |
9 Rooms or More | 110, 10.99%, see rank | 13.18% | 10.60% |
Median Rooms | 5.90, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 18832 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,028, 100% | 5,563,832 | 131,642,457 |
1 Room | 21, 2.04%, see rank | 1.68% | 1.95% |
2 Rooms | 11, 1.07%, see rank | 1.69% | 2.36% |
3 Rooms | 55, 5.35%, see rank | 7.15% | 8.97% |
4 Rooms | 93, 9.05%, see rank | 12.46% | 16.57% |
5 Rooms | 217, 21.11%, see rank | 16.43% | 20.41% |
6 Rooms | 225, 21.89%, see rank | 21.86% | 18.25% |
7 Rooms | 194, 18.87%, see rank | 14.93% | 12.38% |
8 Rooms | 93, 9.05%, see rank | 10.77% | 8.59% |
9 Rooms or More | 119, 11.58%, see rank | 13.03% | 10.52% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
US Census 2000 data
| 18832 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 807, 100% | 5,249,750 | 115,904,641 |
1 Room | 4, 0.50%, see rank | 1.19% | 2.20% |
2 Rooms | 16, 1.98%, see rank | 2.73% | 4.81% |
3 Rooms | 61, 7.56%, see rank | 7.69% | 9.84% |
4 Rooms | 80, 9.91%, see rank | 12.73% | 15.97% |
5 Rooms | 163, 20.20%, see rank | 17.61% | 20.89% |
6 Rooms | 157, 19.45%, see rank | 23.25% | 18.45% |
7 Rooms | 157, 19.45%, see rank | 14.62% | 12.06% |
8 Rooms | 84, 10.41%, see rank | 10.69% | 8.06% |
9 Rooms or More | 85, 10.53%, see rank | 9.49% | 7.70% |
Median Rooms | 6.00, 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.