17066 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17066 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,551, 100% | 5,578,393 | 132,741,033 |
1 Room | 17, 0.67%, see rank | 1.73% | 1.95% |
2 Rooms | 21, 0.82%, see rank | 1.73% | 2.48% |
3 Rooms | 196, 7.68%, see rank | 7.21% | 9.13% |
4 Rooms | 421, 16.50%, see rank | 12.40% | 16.60% |
5 Rooms | 551, 21.60%, see rank | 16.40% | 20.41% |
6 Rooms | 564, 22.11%, see rank | 21.82% | 18.06% |
7 Rooms | 415, 16.27%, see rank | 14.82% | 12.27% |
8 Rooms | 229, 8.98%, see rank | 10.70% | 8.48% |
9 Rooms or More | 137, 5.37%, see rank | 13.18% | 10.60% |
Median Rooms | 5.60, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17066 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,824, 100% | 5,563,832 | 131,642,457 |
1 Room | 41, 1.45%, see rank | 1.68% | 1.95% |
2 Rooms | 20, 0.71%, see rank | 1.69% | 2.36% |
3 Rooms | 183, 6.48%, see rank | 7.15% | 8.97% |
4 Rooms | 392, 13.88%, see rank | 12.46% | 16.57% |
5 Rooms | 750, 26.56%, see rank | 16.43% | 20.41% |
6 Rooms | 602, 21.32%, see rank | 21.86% | 18.25% |
7 Rooms | 422, 14.94%, see rank | 14.93% | 12.38% |
8 Rooms | 219, 7.75%, see rank | 10.77% | 8.59% |
9 Rooms or More | 195, 6.91%, see rank | 13.03% | 10.52% |
Median Rooms | 5.50, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17066 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,739, 100% | 5,249,750 | 115,904,641 |
1 Room | 29, 1.06%, see rank | 1.19% | 2.20% |
2 Rooms | 47, 1.72%, see rank | 2.73% | 4.81% |
3 Rooms | 117, 4.27%, see rank | 7.69% | 9.84% |
4 Rooms | 388, 14.17%, see rank | 12.73% | 15.97% |
5 Rooms | 856, 31.25%, see rank | 17.61% | 20.89% |
6 Rooms | 597, 21.80%, see rank | 23.25% | 18.45% |
7 Rooms | 377, 13.76%, see rank | 14.62% | 12.06% |
8 Rooms | 151, 5.51%, see rank | 10.69% | 8.06% |
9 Rooms or More | 177, 6.46%, see rank | 9.49% | 7.70% |
Median Rooms | 5.40, 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.