17236 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17236 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,631, 100% | 5,578,393 | 132,741,033 |
1 Room | 59, 1.62%, see rank | 1.73% | 1.95% |
2 Rooms | 4, 0.11%, see rank | 1.73% | 2.48% |
3 Rooms | 196, 5.40%, see rank | 7.21% | 9.13% |
4 Rooms | 307, 8.45%, see rank | 12.40% | 16.60% |
5 Rooms | 665, 18.31%, see rank | 16.40% | 20.41% |
6 Rooms | 705, 19.42%, see rank | 21.82% | 18.06% |
7 Rooms | 656, 18.07%, see rank | 14.82% | 12.27% |
8 Rooms | 319, 8.79%, see rank | 10.70% | 8.48% |
9 Rooms or More | 720, 19.83%, see rank | 13.18% | 10.60% |
Median Rooms | 6.30, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17236 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,610, 100% | 5,563,832 | 131,642,457 |
1 Room | 47, 1.30%, see rank | 1.68% | 1.95% |
2 Rooms | 3, 0.08%, see rank | 1.69% | 2.36% |
3 Rooms | 173, 4.79%, see rank | 7.15% | 8.97% |
4 Rooms | 352, 9.75%, see rank | 12.46% | 16.57% |
5 Rooms | 645, 17.87%, see rank | 16.43% | 20.41% |
6 Rooms | 766, 21.22%, see rank | 21.86% | 18.25% |
7 Rooms | 510, 14.13%, see rank | 14.93% | 12.38% |
8 Rooms | 389, 10.78%, see rank | 10.77% | 8.59% |
9 Rooms or More | 725, 20.08%, see rank | 13.03% | 10.52% |
Median Rooms | 6.30, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17236 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,307, 100% | 5,249,750 | 115,904,641 |
1 Room | 10, 0.30%, see rank | 1.19% | 2.20% |
2 Rooms | 37, 1.12%, see rank | 2.73% | 4.81% |
3 Rooms | 146, 4.41%, see rank | 7.69% | 9.84% |
4 Rooms | 337, 10.19%, see rank | 12.73% | 15.97% |
5 Rooms | 546, 16.51%, see rank | 17.61% | 20.89% |
6 Rooms | 1,047, 31.66%, see rank | 23.25% | 18.45% |
7 Rooms | 500, 15.12%, see rank | 14.62% | 12.06% |
8 Rooms | 304, 9.19%, see rank | 10.69% | 8.06% |
9 Rooms or More | 380, 11.49%, 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.