15233 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 15233 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,635, 100% | 5,578,393 | 132,741,033 |
1 Room | 86, 5.26%, see rank | 1.73% | 1.95% |
2 Rooms | 66, 4.04%, see rank | 1.73% | 2.48% |
3 Rooms | 149, 9.11%, see rank | 7.21% | 9.13% |
4 Rooms | 261, 15.96%, see rank | 12.40% | 16.60% |
5 Rooms | 189, 11.56%, see rank | 16.40% | 20.41% |
6 Rooms | 300, 18.35%, see rank | 21.82% | 18.06% |
7 Rooms | 286, 17.49%, see rank | 14.82% | 12.27% |
8 Rooms | 87, 5.32%, see rank | 10.70% | 8.48% |
9 Rooms or More | 211, 12.91%, see rank | 13.18% | 10.60% |
Median Rooms | 5.70, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 15233 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,640, 100% | 5,563,832 | 131,642,457 |
1 Room | 57, 3.48%, see rank | 1.68% | 1.95% |
2 Rooms | 51, 3.11%, see rank | 1.69% | 2.36% |
3 Rooms | 182, 11.10%, see rank | 7.15% | 8.97% |
4 Rooms | 320, 19.51%, see rank | 12.46% | 16.57% |
5 Rooms | 287, 17.50%, see rank | 16.43% | 20.41% |
6 Rooms | 323, 19.70%, see rank | 21.86% | 18.25% |
7 Rooms | 209, 12.74%, see rank | 14.93% | 12.38% |
8 Rooms | 56, 3.41%, see rank | 10.77% | 8.59% |
9 Rooms or More | 155, 9.45%, see rank | 13.03% | 10.52% |
Median Rooms | 5.20, see rank | 6.00 | 5.50 |
US Census 2000 data
| 15233 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,751, 100% | 5,249,750 | 115,904,641 |
1 Room | 53, 3.03%, see rank | 1.19% | 2.20% |
2 Rooms | 48, 2.74%, see rank | 2.73% | 4.81% |
3 Rooms | 409, 23.36%, see rank | 7.69% | 9.84% |
4 Rooms | 327, 18.68%, see rank | 12.73% | 15.97% |
5 Rooms | 337, 19.25%, see rank | 17.61% | 20.89% |
6 Rooms | 118, 6.74%, see rank | 23.25% | 18.45% |
7 Rooms | 156, 8.91%, see rank | 14.62% | 12.06% |
8 Rooms | 157, 8.97%, see rank | 10.69% | 8.06% |
9 Rooms or More | 146, 8.34%, see rank | 9.49% | 7.70% |
Median Rooms | 4.60, 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.