16033 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16033 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,617, 100% | 5,578,393 | 132,741,033 |
1 Room | 70, 2.67%, see rank | 1.73% | 1.95% |
2 Rooms | 31, 1.18%, see rank | 1.73% | 2.48% |
3 Rooms | 57, 2.18%, see rank | 7.21% | 9.13% |
4 Rooms | 326, 12.46%, see rank | 12.40% | 16.60% |
5 Rooms | 525, 20.06%, see rank | 16.40% | 20.41% |
6 Rooms | 546, 20.86%, see rank | 21.82% | 18.06% |
7 Rooms | 410, 15.67%, see rank | 14.82% | 12.27% |
8 Rooms | 288, 11.00%, see rank | 10.70% | 8.48% |
9 Rooms or More | 364, 13.91%, see rank | 13.18% | 10.60% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16033 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,631, 100% | 5,563,832 | 131,642,457 |
1 Room | 91, 3.46%, see rank | 1.68% | 1.95% |
2 Rooms | 24, 0.91%, see rank | 1.69% | 2.36% |
3 Rooms | 57, 2.17%, see rank | 7.15% | 8.97% |
4 Rooms | 285, 10.83%, see rank | 12.46% | 16.57% |
5 Rooms | 552, 20.98%, see rank | 16.43% | 20.41% |
6 Rooms | 508, 19.31%, see rank | 21.86% | 18.25% |
7 Rooms | 446, 16.95%, see rank | 14.93% | 12.38% |
8 Rooms | 290, 11.02%, see rank | 10.77% | 8.59% |
9 Rooms or More | 378, 14.37%, see rank | 13.03% | 10.52% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16033 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,424, 100% | 5,249,750 | 115,904,641 |
1 Room | 21, 0.87%, see rank | 1.19% | 2.20% |
2 Rooms | 37, 1.53%, see rank | 2.73% | 4.81% |
3 Rooms | 133, 5.49%, see rank | 7.69% | 9.84% |
4 Rooms | 362, 14.93%, see rank | 12.73% | 15.97% |
5 Rooms | 506, 20.87%, see rank | 17.61% | 20.89% |
6 Rooms | 666, 27.48%, see rank | 23.25% | 18.45% |
7 Rooms | 270, 11.14%, see rank | 14.62% | 12.06% |
8 Rooms | 182, 7.51%, see rank | 10.69% | 8.06% |
9 Rooms or More | 247, 10.19%, see rank | 9.49% | 7.70% |
Median Rooms | 5.70, 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.