19057 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19057 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 6,703, 100% | 5,578,393 | 132,741,033 |
1 Room | 121, 1.81%, see rank | 1.73% | 1.95% |
2 Rooms | 48, 0.72%, see rank | 1.73% | 2.48% |
3 Rooms | 309, 4.61%, see rank | 7.21% | 9.13% |
4 Rooms | 321, 4.79%, see rank | 12.40% | 16.60% |
5 Rooms | 1,010, 15.07%, see rank | 16.40% | 20.41% |
6 Rooms | 2,486, 37.09%, see rank | 21.82% | 18.06% |
7 Rooms | 1,310, 19.54%, see rank | 14.82% | 12.27% |
8 Rooms | 402, 6.00%, see rank | 10.70% | 8.48% |
9 Rooms or More | 696, 10.38%, see rank | 13.18% | 10.60% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 19057 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 6,456, 100% | 5,563,832 | 131,642,457 |
1 Room | 69, 1.07%, see rank | 1.68% | 1.95% |
2 Rooms | 26, 0.40%, see rank | 1.69% | 2.36% |
3 Rooms | 271, 4.20%, see rank | 7.15% | 8.97% |
4 Rooms | 492, 7.62%, see rank | 12.46% | 16.57% |
5 Rooms | 1,142, 17.69%, see rank | 16.43% | 20.41% |
6 Rooms | 2,010, 31.13%, see rank | 21.86% | 18.25% |
7 Rooms | 1,376, 21.31%, see rank | 14.93% | 12.38% |
8 Rooms | 573, 8.88%, see rank | 10.77% | 8.59% |
9 Rooms or More | 497, 7.70%, see rank | 13.03% | 10.52% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
US Census 2000 data
| 19057 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 6,379, 100% | 5,249,750 | 115,904,641 |
1 Room | 40, 0.63%, see rank | 1.19% | 2.20% |
2 Rooms | 115, 1.80%, see rank | 2.73% | 4.81% |
3 Rooms | 390, 6.11%, see rank | 7.69% | 9.84% |
4 Rooms | 503, 7.89%, see rank | 12.73% | 15.97% |
5 Rooms | 1,277, 20.02%, see rank | 17.61% | 20.89% |
6 Rooms | 1,714, 26.87%, see rank | 23.25% | 18.45% |
7 Rooms | 1,408, 22.07%, see rank | 14.62% | 12.06% |
8 Rooms | 573, 8.98%, see rank | 10.69% | 8.06% |
9 Rooms or More | 359, 5.63%, 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.