19520 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19520 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,421, 100% | 5,578,393 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.73% | 1.95% |
2 Rooms | 26, 1.07%, see rank | 1.73% | 2.48% |
3 Rooms | 118, 4.87%, see rank | 7.21% | 9.13% |
4 Rooms | 189, 7.81%, see rank | 12.40% | 16.60% |
5 Rooms | 440, 18.17%, see rank | 16.40% | 20.41% |
6 Rooms | 476, 19.66%, see rank | 21.82% | 18.06% |
7 Rooms | 344, 14.21%, see rank | 14.82% | 12.27% |
8 Rooms | 383, 15.82%, see rank | 10.70% | 8.48% |
9 Rooms or More | 445, 18.38%, see rank | 13.18% | 10.60% |
Median Rooms | 6.40, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 19520 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,419, 100% | 5,563,832 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.68% | 1.95% |
2 Rooms | 42, 1.74%, see rank | 1.69% | 2.36% |
3 Rooms | 51, 2.11%, see rank | 7.15% | 8.97% |
4 Rooms | 225, 9.30%, see rank | 12.46% | 16.57% |
5 Rooms | 368, 15.21%, see rank | 16.43% | 20.41% |
6 Rooms | 518, 21.41%, see rank | 21.86% | 18.25% |
7 Rooms | 386, 15.96%, see rank | 14.93% | 12.38% |
8 Rooms | 401, 16.58%, see rank | 10.77% | 8.59% |
9 Rooms or More | 428, 17.69%, see rank | 13.03% | 10.52% |
Median Rooms | 6.50, see rank | 6.00 | 5.50 |
US Census 2000 data
| 19520 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,347, 100% | 5,249,750 | 115,904,641 |
1 Room | 9, 0.38%, see rank | 1.19% | 2.20% |
2 Rooms | 25, 1.07%, see rank | 2.73% | 4.81% |
3 Rooms | 85, 3.62%, see rank | 7.69% | 9.84% |
4 Rooms | 173, 7.37%, see rank | 12.73% | 15.97% |
5 Rooms | 357, 15.21%, see rank | 17.61% | 20.89% |
6 Rooms | 607, 25.86%, see rank | 23.25% | 18.45% |
7 Rooms | 433, 18.45%, see rank | 14.62% | 12.06% |
8 Rooms | 341, 14.53%, see rank | 10.69% | 8.06% |
9 Rooms or More | 317, 13.51%, see rank | 9.49% | 7.70% |
Median Rooms | 6.40, 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.