19610 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19610 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 6,845, 100% | 5,578,393 | 132,741,033 |
1 Room | 180, 2.63%, see rank | 1.73% | 1.95% |
2 Rooms | 50, 0.73%, see rank | 1.73% | 2.48% |
3 Rooms | 469, 6.85%, see rank | 7.21% | 9.13% |
4 Rooms | 975, 14.24%, see rank | 12.40% | 16.60% |
5 Rooms | 688, 10.05%, see rank | 16.40% | 20.41% |
6 Rooms | 1,094, 15.98%, see rank | 21.82% | 18.06% |
7 Rooms | 915, 13.37%, see rank | 14.82% | 12.27% |
8 Rooms | 901, 13.16%, see rank | 10.70% | 8.48% |
9 Rooms or More | 1,573, 22.98%, see rank | 13.18% | 10.60% |
Median Rooms | 6.50, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 19610 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 6,725, 100% | 5,563,832 | 131,642,457 |
1 Room | 137, 2.04%, see rank | 1.68% | 1.95% |
2 Rooms | 21, 0.31%, see rank | 1.69% | 2.36% |
3 Rooms | 507, 7.54%, see rank | 7.15% | 8.97% |
4 Rooms | 1,068, 15.88%, see rank | 12.46% | 16.57% |
5 Rooms | 678, 10.08%, see rank | 16.43% | 20.41% |
6 Rooms | 894, 13.29%, see rank | 21.86% | 18.25% |
7 Rooms | 907, 13.49%, see rank | 14.93% | 12.38% |
8 Rooms | 1,128, 16.77%, see rank | 10.77% | 8.59% |
9 Rooms or More | 1,385, 20.59%, see rank | 13.03% | 10.52% |
Median Rooms | 6.60, see rank | 6.00 | 5.50 |
US Census 2000 data
| 19610 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 6,265, 100% | 5,249,750 | 115,904,641 |
1 Room | 58, 0.93%, see rank | 1.19% | 2.20% |
2 Rooms | 84, 1.34%, see rank | 2.73% | 4.81% |
3 Rooms | 352, 5.62%, see rank | 7.69% | 9.84% |
4 Rooms | 747, 11.92%, see rank | 12.73% | 15.97% |
5 Rooms | 944, 15.07%, see rank | 17.61% | 20.89% |
6 Rooms | 920, 14.68%, see rank | 23.25% | 18.45% |
7 Rooms | 874, 13.95%, see rank | 14.62% | 12.06% |
8 Rooms | 1,065, 17.00%, see rank | 10.69% | 8.06% |
9 Rooms or More | 1,221, 19.49%, see rank | 9.49% | 7.70% |
Median Rooms | 6.50, 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.