18610 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 18610 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,422, 100% | 5,578,393 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.73% | 1.95% |
2 Rooms | 11, 0.45%, see rank | 1.73% | 2.48% |
3 Rooms | 119, 4.91%, see rank | 7.21% | 9.13% |
4 Rooms | 422, 17.42%, see rank | 12.40% | 16.60% |
5 Rooms | 438, 18.08%, see rank | 16.40% | 20.41% |
6 Rooms | 590, 24.36%, see rank | 21.82% | 18.06% |
7 Rooms | 385, 15.90%, see rank | 14.82% | 12.27% |
8 Rooms | 189, 7.80%, see rank | 10.70% | 8.48% |
9 Rooms or More | 268, 11.07%, see rank | 13.18% | 10.60% |
Median Rooms | 5.90, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 18610 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,224, 100% | 5,563,832 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.68% | 1.95% |
2 Rooms | 11, 0.49%, see rank | 1.69% | 2.36% |
3 Rooms | 145, 6.52%, see rank | 7.15% | 8.97% |
4 Rooms | 313, 14.07%, see rank | 12.46% | 16.57% |
5 Rooms | 418, 18.79%, see rank | 16.43% | 20.41% |
6 Rooms | 620, 27.88%, see rank | 21.86% | 18.25% |
7 Rooms | 298, 13.40%, see rank | 14.93% | 12.38% |
8 Rooms | 193, 8.68%, see rank | 10.77% | 8.59% |
9 Rooms or More | 226, 10.16%, see rank | 13.03% | 10.52% |
Median Rooms | 5.90, see rank | 6.00 | 5.50 |
US Census 2000 data
| 18610 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,950, 100% | 5,249,750 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.19% | 2.20% |
2 Rooms | 13, 0.67%, see rank | 2.73% | 4.81% |
3 Rooms | 59, 3.03%, see rank | 7.69% | 9.84% |
4 Rooms | 186, 9.54%, see rank | 12.73% | 15.97% |
5 Rooms | 396, 20.31%, see rank | 17.61% | 20.89% |
6 Rooms | 500, 25.64%, see rank | 23.25% | 18.45% |
7 Rooms | 447, 22.92%, see rank | 14.62% | 12.06% |
8 Rooms | 206, 10.56%, see rank | 10.69% | 8.06% |
9 Rooms or More | 143, 7.33%, 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.