16258 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16258 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,117, 100% | 5,578,393 | 132,741,033 |
1 Room | 7, 0.63%, see rank | 1.73% | 1.95% |
2 Rooms | 25, 2.24%, see rank | 1.73% | 2.48% |
3 Rooms | 103, 9.22%, see rank | 7.21% | 9.13% |
4 Rooms | 93, 8.33%, see rank | 12.40% | 16.60% |
5 Rooms | 381, 34.11%, see rank | 16.40% | 20.41% |
6 Rooms | 221, 19.79%, see rank | 21.82% | 18.06% |
7 Rooms | 128, 11.46%, see rank | 14.82% | 12.27% |
8 Rooms | 109, 9.76%, see rank | 10.70% | 8.48% |
9 Rooms or More | 50, 4.48%, see rank | 13.18% | 10.60% |
Median Rooms | 5.40, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16258 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,134, 100% | 5,563,832 | 131,642,457 |
1 Room | 52, 4.59%, see rank | 1.68% | 1.95% |
2 Rooms | 32, 2.82%, see rank | 1.69% | 2.36% |
3 Rooms | 83, 7.32%, see rank | 7.15% | 8.97% |
4 Rooms | 66, 5.82%, see rank | 12.46% | 16.57% |
5 Rooms | 360, 31.75%, see rank | 16.43% | 20.41% |
6 Rooms | 206, 18.17%, see rank | 21.86% | 18.25% |
7 Rooms | 190, 16.75%, see rank | 14.93% | 12.38% |
8 Rooms | 105, 9.26%, see rank | 10.77% | 8.59% |
9 Rooms or More | 40, 3.53%, see rank | 13.03% | 10.52% |
Median Rooms | 5.40, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16258 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,026, 100% | 5,249,750 | 115,904,641 |
1 Room | 30, 2.92%, see rank | 1.19% | 2.20% |
2 Rooms | 54, 5.26%, see rank | 2.73% | 4.81% |
3 Rooms | 98, 9.55%, see rank | 7.69% | 9.84% |
4 Rooms | 171, 16.67%, see rank | 12.73% | 15.97% |
5 Rooms | 201, 19.59%, see rank | 17.61% | 20.89% |
6 Rooms | 191, 18.62%, see rank | 23.25% | 18.45% |
7 Rooms | 153, 14.91%, see rank | 14.62% | 12.06% |
8 Rooms | 66, 6.43%, see rank | 10.69% | 8.06% |
9 Rooms or More | 62, 6.04%, see rank | 9.49% | 7.70% |
Median Rooms | 5.30, 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.