19001 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19001 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 6,588, 100% | 5,578,393 | 132,741,033 |
1 Room | 102, 1.55%, see rank | 1.73% | 1.95% |
2 Rooms | 47, 0.71%, see rank | 1.73% | 2.48% |
3 Rooms | 231, 3.51%, see rank | 7.21% | 9.13% |
4 Rooms | 530, 8.04%, see rank | 12.40% | 16.60% |
5 Rooms | 679, 10.31%, see rank | 16.40% | 20.41% |
6 Rooms | 1,695, 25.73%, see rank | 21.82% | 18.06% |
7 Rooms | 1,589, 24.12%, see rank | 14.82% | 12.27% |
8 Rooms | 819, 12.43%, see rank | 10.70% | 8.48% |
9 Rooms or More | 896, 13.60%, see rank | 13.18% | 10.60% |
Median Rooms | 6.50, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 19001 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 6,431, 100% | 5,563,832 | 131,642,457 |
1 Room | 90, 1.40%, see rank | 1.68% | 1.95% |
2 Rooms | 31, 0.48%, see rank | 1.69% | 2.36% |
3 Rooms | 264, 4.11%, see rank | 7.15% | 8.97% |
4 Rooms | 404, 6.28%, see rank | 12.46% | 16.57% |
5 Rooms | 676, 10.51%, see rank | 16.43% | 20.41% |
6 Rooms | 1,627, 25.30%, see rank | 21.86% | 18.25% |
7 Rooms | 1,503, 23.37%, see rank | 14.93% | 12.38% |
8 Rooms | 814, 12.66%, see rank | 10.77% | 8.59% |
9 Rooms or More | 1,022, 15.89%, see rank | 13.03% | 10.52% |
Median Rooms | 6.60, see rank | 6.00 | 5.50 |
US Census 2000 data
| 19001 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 6,448, 100% | 5,249,750 | 115,904,641 |
1 Room | 13, 0.20%, see rank | 1.19% | 2.20% |
2 Rooms | 115, 1.78%, see rank | 2.73% | 4.81% |
3 Rooms | 284, 4.40%, see rank | 7.69% | 9.84% |
4 Rooms | 419, 6.50%, see rank | 12.73% | 15.97% |
5 Rooms | 686, 10.64%, see rank | 17.61% | 20.89% |
6 Rooms | 1,584, 24.57%, see rank | 23.25% | 18.45% |
7 Rooms | 1,712, 26.55%, see rank | 14.62% | 12.06% |
8 Rooms | 1,065, 16.52%, see rank | 10.69% | 8.06% |
9 Rooms or More | 570, 8.84%, see rank | 9.49% | 7.70% |
Median Rooms | 6.60, 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.