17517 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17517 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 5,869, 100% | 5,578,393 | 132,741,033 |
1 Room | 12, 0.20%, see rank | 1.73% | 1.95% |
2 Rooms | 55, 0.94%, see rank | 1.73% | 2.48% |
3 Rooms | 176, 3.00%, see rank | 7.21% | 9.13% |
4 Rooms | 551, 9.39%, see rank | 12.40% | 16.60% |
5 Rooms | 891, 15.18%, see rank | 16.40% | 20.41% |
6 Rooms | 1,296, 22.08%, see rank | 21.82% | 18.06% |
7 Rooms | 1,161, 19.78%, see rank | 14.82% | 12.27% |
8 Rooms | 740, 12.61%, see rank | 10.70% | 8.48% |
9 Rooms or More | 987, 16.82%, see rank | 13.18% | 10.60% |
Median Rooms | 6.50, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17517 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 5,761, 100% | 5,563,832 | 131,642,457 |
1 Room | 43, 0.75%, see rank | 1.68% | 1.95% |
2 Rooms | 15, 0.26%, see rank | 1.69% | 2.36% |
3 Rooms | 136, 2.36%, see rank | 7.15% | 8.97% |
4 Rooms | 537, 9.32%, see rank | 12.46% | 16.57% |
5 Rooms | 1,013, 17.58%, see rank | 16.43% | 20.41% |
6 Rooms | 1,129, 19.60%, see rank | 21.86% | 18.25% |
7 Rooms | 1,169, 20.29%, see rank | 14.93% | 12.38% |
8 Rooms | 631, 10.95%, see rank | 10.77% | 8.59% |
9 Rooms or More | 1,088, 18.89%, see rank | 13.03% | 10.52% |
Median Rooms | 6.50, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17517 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 5,035, 100% | 5,249,750 | 115,904,641 |
1 Room | 6, 0.12%, see rank | 1.19% | 2.20% |
2 Rooms | 99, 1.97%, see rank | 2.73% | 4.81% |
3 Rooms | 137, 2.72%, see rank | 7.69% | 9.84% |
4 Rooms | 389, 7.73%, see rank | 12.73% | 15.97% |
5 Rooms | 925, 18.37%, see rank | 17.61% | 20.89% |
6 Rooms | 1,220, 24.23%, see rank | 23.25% | 18.45% |
7 Rooms | 1,059, 21.03%, see rank | 14.62% | 12.06% |
8 Rooms | 650, 12.91%, see rank | 10.69% | 8.06% |
9 Rooms or More | 550, 10.92%, see rank | 9.49% | 7.70% |
Median Rooms | 6.30, 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.