17102 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17102 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 5,169, 100% | 5,578,393 | 132,741,033 |
1 Room | 662, 12.81%, see rank | 1.73% | 1.95% |
2 Rooms | 274, 5.30%, see rank | 1.73% | 2.48% |
3 Rooms | 1,024, 19.81%, see rank | 7.21% | 9.13% |
4 Rooms | 936, 18.11%, see rank | 12.40% | 16.60% |
5 Rooms | 865, 16.73%, see rank | 16.40% | 20.41% |
6 Rooms | 473, 9.15%, see rank | 21.82% | 18.06% |
7 Rooms | 380, 7.35%, see rank | 14.82% | 12.27% |
8 Rooms | 388, 7.51%, see rank | 10.70% | 8.48% |
9 Rooms or More | 167, 3.23%, see rank | 13.18% | 10.60% |
Median Rooms | 4.20, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17102 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 5,315, 100% | 5,563,832 | 131,642,457 |
1 Room | 793, 14.92%, see rank | 1.68% | 1.95% |
2 Rooms | 259, 4.87%, see rank | 1.69% | 2.36% |
3 Rooms | 982, 18.48%, see rank | 7.15% | 8.97% |
4 Rooms | 972, 18.29%, see rank | 12.46% | 16.57% |
5 Rooms | 749, 14.09%, see rank | 16.43% | 20.41% |
6 Rooms | 576, 10.84%, see rank | 21.86% | 18.25% |
7 Rooms | 436, 8.20%, see rank | 14.93% | 12.38% |
8 Rooms | 389, 7.32%, see rank | 10.77% | 8.59% |
9 Rooms or More | 159, 2.99%, see rank | 13.03% | 10.52% |
Median Rooms | 4.10, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17102 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 4,974, 100% | 5,249,750 | 115,904,641 |
1 Room | 371, 7.46%, see rank | 1.19% | 2.20% |
2 Rooms | 477, 9.59%, see rank | 2.73% | 4.81% |
3 Rooms | 1,049, 21.09%, see rank | 7.69% | 9.84% |
4 Rooms | 781, 15.70%, see rank | 12.73% | 15.97% |
5 Rooms | 530, 10.66%, see rank | 17.61% | 20.89% |
6 Rooms | 614, 12.34%, see rank | 23.25% | 18.45% |
7 Rooms | 469, 9.43%, see rank | 14.62% | 12.06% |
8 Rooms | 394, 7.92%, see rank | 10.69% | 8.06% |
9 Rooms or More | 289, 5.81%, see rank | 9.49% | 7.70% |
Median Rooms | 4.30, 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.