16340 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16340 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,321, 100% | 5,578,393 | 132,741,033 |
1 Room | 38, 2.88%, see rank | 1.73% | 1.95% |
2 Rooms | 54, 4.09%, see rank | 1.73% | 2.48% |
3 Rooms | 122, 9.24%, see rank | 7.21% | 9.13% |
4 Rooms | 184, 13.93%, see rank | 12.40% | 16.60% |
5 Rooms | 233, 17.64%, see rank | 16.40% | 20.41% |
6 Rooms | 241, 18.24%, see rank | 21.82% | 18.06% |
7 Rooms | 186, 14.08%, see rank | 14.82% | 12.27% |
8 Rooms | 91, 6.89%, see rank | 10.70% | 8.48% |
9 Rooms or More | 172, 13.02%, see rank | 13.18% | 10.60% |
Median Rooms | 5.60, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16340 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,210, 100% | 5,563,832 | 131,642,457 |
1 Room | 34, 2.81%, see rank | 1.68% | 1.95% |
2 Rooms | 75, 6.20%, see rank | 1.69% | 2.36% |
3 Rooms | 138, 11.40%, see rank | 7.15% | 8.97% |
4 Rooms | 192, 15.87%, see rank | 12.46% | 16.57% |
5 Rooms | 202, 16.69%, see rank | 16.43% | 20.41% |
6 Rooms | 215, 17.77%, see rank | 21.86% | 18.25% |
7 Rooms | 148, 12.23%, see rank | 14.93% | 12.38% |
8 Rooms | 110, 9.09%, see rank | 10.77% | 8.59% |
9 Rooms or More | 96, 7.93%, see rank | 13.03% | 10.52% |
Median Rooms | 5.30, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16340 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,409, 100% | 5,249,750 | 115,904,641 |
1 Room | 15, 1.06%, see rank | 1.19% | 2.20% |
2 Rooms | 36, 2.56%, see rank | 2.73% | 4.81% |
3 Rooms | 68, 4.83%, see rank | 7.69% | 9.84% |
4 Rooms | 241, 17.10%, see rank | 12.73% | 15.97% |
5 Rooms | 386, 27.40%, see rank | 17.61% | 20.89% |
6 Rooms | 250, 17.74%, see rank | 23.25% | 18.45% |
7 Rooms | 208, 14.76%, see rank | 14.62% | 12.06% |
8 Rooms | 127, 9.01%, see rank | 10.69% | 8.06% |
9 Rooms or More | 78, 5.54%, 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.