17233 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17233 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,524, 100% | 5,578,393 | 132,741,033 |
1 Room | 28, 1.11%, see rank | 1.73% | 1.95% |
2 Rooms | 13, 0.52%, see rank | 1.73% | 2.48% |
3 Rooms | 202, 8.00%, see rank | 7.21% | 9.13% |
4 Rooms | 319, 12.64%, see rank | 12.40% | 16.60% |
5 Rooms | 574, 22.74%, see rank | 16.40% | 20.41% |
6 Rooms | 537, 21.28%, see rank | 21.82% | 18.06% |
7 Rooms | 362, 14.34%, see rank | 14.82% | 12.27% |
8 Rooms | 283, 11.21%, see rank | 10.70% | 8.48% |
9 Rooms or More | 206, 8.16%, see rank | 13.18% | 10.60% |
Median Rooms | 5.70, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17233 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,505, 100% | 5,563,832 | 131,642,457 |
1 Room | 38, 1.52%, see rank | 1.68% | 1.95% |
2 Rooms | 12, 0.48%, see rank | 1.69% | 2.36% |
3 Rooms | 111, 4.43%, see rank | 7.15% | 8.97% |
4 Rooms | 398, 15.89%, see rank | 12.46% | 16.57% |
5 Rooms | 656, 26.19%, see rank | 16.43% | 20.41% |
6 Rooms | 519, 20.72%, see rank | 21.86% | 18.25% |
7 Rooms | 324, 12.93%, see rank | 14.93% | 12.38% |
8 Rooms | 210, 8.38%, see rank | 10.77% | 8.59% |
9 Rooms or More | 237, 9.46%, see rank | 13.03% | 10.52% |
Median Rooms | 5.60, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17233 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,310, 100% | 5,249,750 | 115,904,641 |
1 Room | 14, 0.61%, see rank | 1.19% | 2.20% |
2 Rooms | 53, 2.29%, see rank | 2.73% | 4.81% |
3 Rooms | 135, 5.84%, see rank | 7.69% | 9.84% |
4 Rooms | 364, 15.76%, see rank | 12.73% | 15.97% |
5 Rooms | 593, 25.67%, see rank | 17.61% | 20.89% |
6 Rooms | 558, 24.16%, see rank | 23.25% | 18.45% |
7 Rooms | 283, 12.25%, see rank | 14.62% | 12.06% |
8 Rooms | 186, 8.05%, see rank | 10.69% | 8.06% |
9 Rooms or More | 124, 5.37%, see rank | 9.49% | 7.70% |
Median Rooms | 5.50, 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.