19365 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19365 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,679, 100% | 5,578,393 | 132,741,033 |
1 Room | 74, 2.76%, see rank | 1.73% | 1.95% |
2 Rooms | 32, 1.19%, see rank | 1.73% | 2.48% |
3 Rooms | 122, 4.55%, see rank | 7.21% | 9.13% |
4 Rooms | 223, 8.32%, see rank | 12.40% | 16.60% |
5 Rooms | 380, 14.18%, see rank | 16.40% | 20.41% |
6 Rooms | 514, 19.19%, see rank | 21.82% | 18.06% |
7 Rooms | 489, 18.25%, see rank | 14.82% | 12.27% |
8 Rooms | 364, 13.59%, see rank | 10.70% | 8.48% |
9 Rooms or More | 481, 17.95%, see rank | 13.18% | 10.60% |
Median Rooms | 6.50, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 19365 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,582, 100% | 5,563,832 | 131,642,457 |
1 Room | 55, 2.13%, see rank | 1.68% | 1.95% |
2 Rooms | 35, 1.36%, see rank | 1.69% | 2.36% |
3 Rooms | 129, 5.00%, see rank | 7.15% | 8.97% |
4 Rooms | 166, 6.43%, see rank | 12.46% | 16.57% |
5 Rooms | 327, 12.66%, see rank | 16.43% | 20.41% |
6 Rooms | 571, 22.11%, see rank | 21.86% | 18.25% |
7 Rooms | 485, 18.78%, see rank | 14.93% | 12.38% |
8 Rooms | 318, 12.32%, see rank | 10.77% | 8.59% |
9 Rooms or More | 496, 19.21%, see rank | 13.03% | 10.52% |
Median Rooms | 6.50, see rank | 6.00 | 5.50 |
US Census 2000 data
| 19365 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,369, 100% | 5,249,750 | 115,904,641 |
1 Room | 3, 0.13%, see rank | 1.19% | 2.20% |
2 Rooms | 48, 2.03%, see rank | 2.73% | 4.81% |
3 Rooms | 160, 6.75%, see rank | 7.69% | 9.84% |
4 Rooms | 170, 7.18%, see rank | 12.73% | 15.97% |
5 Rooms | 444, 18.74%, see rank | 17.61% | 20.89% |
6 Rooms | 551, 23.26%, see rank | 23.25% | 18.45% |
7 Rooms | 521, 21.99%, see rank | 14.62% | 12.06% |
8 Rooms | 236, 9.96%, see rank | 10.69% | 8.06% |
9 Rooms or More | 236, 9.96%, see rank | 9.49% | 7.70% |
Median Rooms | 6.20, 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.