19003 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19003 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 5,636, 100% | 5,578,393 | 132,741,033 |
1 Room | 102, 1.81%, see rank | 1.73% | 1.95% |
2 Rooms | 119, 2.11%, see rank | 1.73% | 2.48% |
3 Rooms | 542, 9.62%, see rank | 7.21% | 9.13% |
4 Rooms | 626, 11.11%, see rank | 12.40% | 16.60% |
5 Rooms | 579, 10.27%, see rank | 16.40% | 20.41% |
6 Rooms | 1,317, 23.37%, see rank | 21.82% | 18.06% |
7 Rooms | 847, 15.03%, see rank | 14.82% | 12.27% |
8 Rooms | 714, 12.67%, see rank | 10.70% | 8.48% |
9 Rooms or More | 790, 14.02%, see rank | 13.18% | 10.60% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 19003 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 5,740, 100% | 5,563,832 | 131,642,457 |
1 Room | 153, 2.67%, see rank | 1.68% | 1.95% |
2 Rooms | 128, 2.23%, see rank | 1.69% | 2.36% |
3 Rooms | 472, 8.22%, see rank | 7.15% | 8.97% |
4 Rooms | 730, 12.72%, see rank | 12.46% | 16.57% |
5 Rooms | 522, 9.09%, see rank | 16.43% | 20.41% |
6 Rooms | 1,144, 19.93%, see rank | 21.86% | 18.25% |
7 Rooms | 857, 14.93%, see rank | 14.93% | 12.38% |
8 Rooms | 705, 12.28%, see rank | 10.77% | 8.59% |
9 Rooms or More | 1,029, 17.93%, see rank | 13.03% | 10.52% |
Median Rooms | 6.30, see rank | 6.00 | 5.50 |
US Census 2000 data
| 19003 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 5,757, 100% | 5,249,750 | 115,904,641 |
1 Room | 127, 2.21%, see rank | 1.19% | 2.20% |
2 Rooms | 173, 3.01%, see rank | 2.73% | 4.81% |
3 Rooms | 503, 8.74%, see rank | 7.69% | 9.84% |
4 Rooms | 668, 11.60%, see rank | 12.73% | 15.97% |
5 Rooms | 706, 12.26%, see rank | 17.61% | 20.89% |
6 Rooms | 1,260, 21.89%, see rank | 23.25% | 18.45% |
7 Rooms | 905, 15.72%, see rank | 14.62% | 12.06% |
8 Rooms | 677, 11.76%, see rank | 10.69% | 8.06% |
9 Rooms or More | 738, 12.82%, 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.