19539 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19539 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,691, 100% | 5,578,393 | 132,741,033 |
1 Room | 42, 2.48%, see rank | 1.73% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.73% | 2.48% |
3 Rooms | 12, 0.71%, see rank | 7.21% | 9.13% |
4 Rooms | 133, 7.87%, see rank | 12.40% | 16.60% |
5 Rooms | 320, 18.92%, see rank | 16.40% | 20.41% |
6 Rooms | 365, 21.58%, see rank | 21.82% | 18.06% |
7 Rooms | 259, 15.32%, see rank | 14.82% | 12.27% |
8 Rooms | 257, 15.20%, see rank | 10.70% | 8.48% |
9 Rooms or More | 303, 17.92%, see rank | 13.18% | 10.60% |
Median Rooms | 6.40, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 19539 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,808, 100% | 5,563,832 | 131,642,457 |
1 Room | 39, 2.16%, see rank | 1.68% | 1.95% |
2 Rooms | 15, 0.83%, see rank | 1.69% | 2.36% |
3 Rooms | 12, 0.66%, see rank | 7.15% | 8.97% |
4 Rooms | 178, 9.85%, see rank | 12.46% | 16.57% |
5 Rooms | 368, 20.35%, see rank | 16.43% | 20.41% |
6 Rooms | 378, 20.91%, see rank | 21.86% | 18.25% |
7 Rooms | 230, 12.72%, see rank | 14.93% | 12.38% |
8 Rooms | 278, 15.38%, see rank | 10.77% | 8.59% |
9 Rooms or More | 310, 17.15%, see rank | 13.03% | 10.52% |
Median Rooms | 6.30, see rank | 6.00 | 5.50 |
US Census 2000 data
| 19539 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,658, 100% | 5,249,750 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.19% | 2.20% |
2 Rooms | 4, 0.24%, see rank | 2.73% | 4.81% |
3 Rooms | 75, 4.52%, see rank | 7.69% | 9.84% |
4 Rooms | 197, 11.88%, see rank | 12.73% | 15.97% |
5 Rooms | 331, 19.96%, see rank | 17.61% | 20.89% |
6 Rooms | 351, 21.17%, see rank | 23.25% | 18.45% |
7 Rooms | 271, 16.34%, see rank | 14.62% | 12.06% |
8 Rooms | 270, 16.28%, see rank | 10.69% | 8.06% |
9 Rooms or More | 159, 9.59%, 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.