17043 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17043 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,213, 100% | 5,578,393 | 132,741,033 |
1 Room | 130, 4.05%, see rank | 1.73% | 1.95% |
2 Rooms | 174, 5.42%, see rank | 1.73% | 2.48% |
3 Rooms | 268, 8.34%, see rank | 7.21% | 9.13% |
4 Rooms | 527, 16.40%, see rank | 12.40% | 16.60% |
5 Rooms | 523, 16.28%, see rank | 16.40% | 20.41% |
6 Rooms | 664, 20.67%, see rank | 21.82% | 18.06% |
7 Rooms | 427, 13.29%, see rank | 14.82% | 12.27% |
8 Rooms | 218, 6.78%, see rank | 10.70% | 8.48% |
9 Rooms or More | 282, 8.78%, see rank | 13.18% | 10.60% |
Median Rooms | 5.50, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17043 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,254, 100% | 5,563,832 | 131,642,457 |
1 Room | 115, 3.53%, see rank | 1.68% | 1.95% |
2 Rooms | 193, 5.93%, see rank | 1.69% | 2.36% |
3 Rooms | 410, 12.60%, see rank | 7.15% | 8.97% |
4 Rooms | 519, 15.95%, see rank | 12.46% | 16.57% |
5 Rooms | 383, 11.77%, see rank | 16.43% | 20.41% |
6 Rooms | 797, 24.49%, see rank | 21.86% | 18.25% |
7 Rooms | 438, 13.46%, see rank | 14.93% | 12.38% |
8 Rooms | 119, 3.66%, see rank | 10.77% | 8.59% |
9 Rooms or More | 280, 8.60%, see rank | 13.03% | 10.52% |
Median Rooms | 5.50, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17043 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 2,926, 100% | 5,249,750 | 115,904,641 |
1 Room | 29, 0.99%, see rank | 1.19% | 2.20% |
2 Rooms | 72, 2.46%, see rank | 2.73% | 4.81% |
3 Rooms | 291, 9.95%, see rank | 7.69% | 9.84% |
4 Rooms | 489, 16.71%, see rank | 12.73% | 15.97% |
5 Rooms | 564, 19.28%, see rank | 17.61% | 20.89% |
6 Rooms | 683, 23.34%, see rank | 23.25% | 18.45% |
7 Rooms | 321, 10.97%, see rank | 14.62% | 12.06% |
8 Rooms | 248, 8.48%, see rank | 10.69% | 8.06% |
9 Rooms or More | 229, 7.83%, see rank | 9.49% | 7.70% |
Median Rooms | 5.50, 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.