17074 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17074 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,327, 100% | 5,578,393 | 132,741,033 |
1 Room | 47, 1.41%, see rank | 1.73% | 1.95% |
2 Rooms | 63, 1.89%, see rank | 1.73% | 2.48% |
3 Rooms | 202, 6.07%, see rank | 7.21% | 9.13% |
4 Rooms | 500, 15.03%, see rank | 12.40% | 16.60% |
5 Rooms | 709, 21.31%, see rank | 16.40% | 20.41% |
6 Rooms | 713, 21.43%, see rank | 21.82% | 18.06% |
7 Rooms | 429, 12.89%, see rank | 14.82% | 12.27% |
8 Rooms | 310, 9.32%, see rank | 10.70% | 8.48% |
9 Rooms or More | 354, 10.64%, see rank | 13.18% | 10.60% |
Median Rooms | 5.70, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17074 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,351, 100% | 5,563,832 | 131,642,457 |
1 Room | 32, 0.95%, see rank | 1.68% | 1.95% |
2 Rooms | 64, 1.91%, see rank | 1.69% | 2.36% |
3 Rooms | 191, 5.70%, see rank | 7.15% | 8.97% |
4 Rooms | 533, 15.91%, see rank | 12.46% | 16.57% |
5 Rooms | 756, 22.56%, see rank | 16.43% | 20.41% |
6 Rooms | 695, 20.74%, see rank | 21.86% | 18.25% |
7 Rooms | 427, 12.74%, see rank | 14.93% | 12.38% |
8 Rooms | 381, 11.37%, see rank | 10.77% | 8.59% |
9 Rooms or More | 272, 8.12%, see rank | 13.03% | 10.52% |
Median Rooms | 5.60, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17074 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,125, 100% | 5,249,750 | 115,904,641 |
1 Room | 21, 0.67%, see rank | 1.19% | 2.20% |
2 Rooms | 61, 1.95%, see rank | 2.73% | 4.81% |
3 Rooms | 187, 5.98%, see rank | 7.69% | 9.84% |
4 Rooms | 527, 16.86%, see rank | 12.73% | 15.97% |
5 Rooms | 640, 20.48%, see rank | 17.61% | 20.89% |
6 Rooms | 824, 26.37%, see rank | 23.25% | 18.45% |
7 Rooms | 456, 14.59%, see rank | 14.62% | 12.06% |
8 Rooms | 224, 7.17%, see rank | 10.69% | 8.06% |
9 Rooms or More | 185, 5.92%, 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.