17970 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17970 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,566, 100% | 5,578,393 | 132,741,033 |
1 Room | 12, 0.77%, see rank | 1.73% | 1.95% |
2 Rooms | 10, 0.64%, see rank | 1.73% | 2.48% |
3 Rooms | 89, 5.68%, see rank | 7.21% | 9.13% |
4 Rooms | 70, 4.47%, see rank | 12.40% | 16.60% |
5 Rooms | 294, 18.77%, see rank | 16.40% | 20.41% |
6 Rooms | 541, 34.55%, see rank | 21.82% | 18.06% |
7 Rooms | 273, 17.43%, see rank | 14.82% | 12.27% |
8 Rooms | 94, 6.00%, see rank | 10.70% | 8.48% |
9 Rooms or More | 183, 11.69%, see rank | 13.18% | 10.60% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17970 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,636, 100% | 5,563,832 | 131,642,457 |
1 Room | 10, 0.61%, see rank | 1.68% | 1.95% |
2 Rooms | 19, 1.16%, see rank | 1.69% | 2.36% |
3 Rooms | 93, 5.68%, see rank | 7.15% | 8.97% |
4 Rooms | 68, 4.16%, see rank | 12.46% | 16.57% |
5 Rooms | 366, 22.37%, see rank | 16.43% | 20.41% |
6 Rooms | 513, 31.36%, see rank | 21.86% | 18.25% |
7 Rooms | 294, 17.97%, see rank | 14.93% | 12.38% |
8 Rooms | 118, 7.21%, see rank | 10.77% | 8.59% |
9 Rooms or More | 155, 9.47%, see rank | 13.03% | 10.52% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17970 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,794, 100% | 5,249,750 | 115,904,641 |
1 Room | 21, 1.17%, see rank | 1.19% | 2.20% |
2 Rooms | 35, 1.95%, see rank | 2.73% | 4.81% |
3 Rooms | 65, 3.62%, see rank | 7.69% | 9.84% |
4 Rooms | 157, 8.75%, see rank | 12.73% | 15.97% |
5 Rooms | 299, 16.67%, see rank | 17.61% | 20.89% |
6 Rooms | 694, 38.68%, see rank | 23.25% | 18.45% |
7 Rooms | 228, 12.71%, see rank | 14.62% | 12.06% |
8 Rooms | 176, 9.81%, see rank | 10.69% | 8.06% |
9 Rooms or More | 119, 6.63%, see rank | 9.49% | 7.70% |
Median Rooms | 6.00, 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.