19023 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19023 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 8,542, 100% | 5,578,393 | 132,741,033 |
1 Room | 101, 1.18%, see rank | 1.73% | 1.95% |
2 Rooms | 40, 0.47%, see rank | 1.73% | 2.48% |
3 Rooms | 707, 8.28%, see rank | 7.21% | 9.13% |
4 Rooms | 1,099, 12.87%, see rank | 12.40% | 16.60% |
5 Rooms | 863, 10.10%, see rank | 16.40% | 20.41% |
6 Rooms | 3,314, 38.80%, see rank | 21.82% | 18.06% |
7 Rooms | 1,479, 17.31%, see rank | 14.82% | 12.27% |
8 Rooms | 489, 5.72%, see rank | 10.70% | 8.48% |
9 Rooms or More | 450, 5.27%, see rank | 13.18% | 10.60% |
Median Rooms | 5.90, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 19023 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 8,797, 100% | 5,563,832 | 131,642,457 |
1 Room | 101, 1.15%, see rank | 1.68% | 1.95% |
2 Rooms | 51, 0.58%, see rank | 1.69% | 2.36% |
3 Rooms | 592, 6.73%, see rank | 7.15% | 8.97% |
4 Rooms | 1,150, 13.07%, see rank | 12.46% | 16.57% |
5 Rooms | 1,000, 11.37%, see rank | 16.43% | 20.41% |
6 Rooms | 3,486, 39.63%, see rank | 21.86% | 18.25% |
7 Rooms | 1,377, 15.65%, see rank | 14.93% | 12.38% |
8 Rooms | 571, 6.49%, see rank | 10.77% | 8.59% |
9 Rooms or More | 469, 5.33%, see rank | 13.03% | 10.52% |
Median Rooms | 5.90, see rank | 6.00 | 5.50 |
US Census 2000 data
| 19023 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 8,337, 100% | 5,249,750 | 115,904,641 |
1 Room | 67, 0.80%, see rank | 1.19% | 2.20% |
2 Rooms | 156, 1.87%, see rank | 2.73% | 4.81% |
3 Rooms | 772, 9.26%, see rank | 7.69% | 9.84% |
4 Rooms | 800, 9.60%, see rank | 12.73% | 15.97% |
5 Rooms | 843, 10.11%, see rank | 17.61% | 20.89% |
6 Rooms | 3,485, 41.80%, see rank | 23.25% | 18.45% |
7 Rooms | 1,486, 17.82%, see rank | 14.62% | 12.06% |
8 Rooms | 416, 4.99%, see rank | 10.69% | 8.06% |
9 Rooms or More | 312, 3.74%, 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.