17801 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17801 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 7,500, 100% | 5,578,393 | 132,741,033 |
1 Room | 98, 1.31%, see rank | 1.73% | 1.95% |
2 Rooms | 197, 2.63%, see rank | 1.73% | 2.48% |
3 Rooms | 477, 6.36%, see rank | 7.21% | 9.13% |
4 Rooms | 772, 10.29%, see rank | 12.40% | 16.60% |
5 Rooms | 1,215, 16.20%, see rank | 16.40% | 20.41% |
6 Rooms | 2,084, 27.79%, see rank | 21.82% | 18.06% |
7 Rooms | 1,124, 14.99%, see rank | 14.82% | 12.27% |
8 Rooms | 737, 9.83%, see rank | 10.70% | 8.48% |
9 Rooms or More | 796, 10.61%, see rank | 13.18% | 10.60% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17801 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 7,774, 100% | 5,563,832 | 131,642,457 |
1 Room | 154, 1.98%, see rank | 1.68% | 1.95% |
2 Rooms | 215, 2.77%, see rank | 1.69% | 2.36% |
3 Rooms | 567, 7.29%, see rank | 7.15% | 8.97% |
4 Rooms | 896, 11.53%, see rank | 12.46% | 16.57% |
5 Rooms | 1,213, 15.60%, see rank | 16.43% | 20.41% |
6 Rooms | 2,098, 26.99%, see rank | 21.86% | 18.25% |
7 Rooms | 1,144, 14.72%, see rank | 14.93% | 12.38% |
8 Rooms | 686, 8.82%, see rank | 10.77% | 8.59% |
9 Rooms or More | 801, 10.30%, see rank | 13.03% | 10.52% |
Median Rooms | 5.90, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17801 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 7,780, 100% | 5,249,750 | 115,904,641 |
1 Room | 54, 0.69%, see rank | 1.19% | 2.20% |
2 Rooms | 248, 3.19%, see rank | 2.73% | 4.81% |
3 Rooms | 677, 8.70%, see rank | 7.69% | 9.84% |
4 Rooms | 879, 11.30%, see rank | 12.73% | 15.97% |
5 Rooms | 1,402, 18.02%, see rank | 17.61% | 20.89% |
6 Rooms | 2,287, 29.40%, see rank | 23.25% | 18.45% |
7 Rooms | 940, 12.08%, see rank | 14.62% | 12.06% |
8 Rooms | 666, 8.56%, see rank | 10.69% | 8.06% |
9 Rooms or More | 627, 8.06%, see rank | 9.49% | 7.70% |
Median Rooms | 5.80, 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.