16503 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16503 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 7,109, 100% | 5,578,393 | 132,741,033 |
1 Room | 92, 1.29%, see rank | 1.73% | 1.95% |
2 Rooms | 78, 1.10%, see rank | 1.73% | 2.48% |
3 Rooms | 722, 10.16%, see rank | 7.21% | 9.13% |
4 Rooms | 1,234, 17.36%, see rank | 12.40% | 16.60% |
5 Rooms | 1,706, 24.00%, see rank | 16.40% | 20.41% |
6 Rooms | 1,686, 23.72%, see rank | 21.82% | 18.06% |
7 Rooms | 795, 11.18%, see rank | 14.82% | 12.27% |
8 Rooms | 440, 6.19%, see rank | 10.70% | 8.48% |
9 Rooms or More | 356, 5.01%, see rank | 13.18% | 10.60% |
Median Rooms | 5.30, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16503 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 7,010, 100% | 5,563,832 | 131,642,457 |
1 Room | 95, 1.36%, see rank | 1.68% | 1.95% |
2 Rooms | 30, 0.43%, see rank | 1.69% | 2.36% |
3 Rooms | 529, 7.55%, see rank | 7.15% | 8.97% |
4 Rooms | 1,141, 16.28%, see rank | 12.46% | 16.57% |
5 Rooms | 1,773, 25.29%, see rank | 16.43% | 20.41% |
6 Rooms | 1,653, 23.58%, see rank | 21.86% | 18.25% |
7 Rooms | 899, 12.82%, see rank | 14.93% | 12.38% |
8 Rooms | 498, 7.10%, see rank | 10.77% | 8.59% |
9 Rooms or More | 392, 5.59%, see rank | 13.03% | 10.52% |
Median Rooms | 5.50, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16503 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 7,569, 100% | 5,249,750 | 115,904,641 |
1 Room | 86, 1.14%, see rank | 1.19% | 2.20% |
2 Rooms | 186, 2.46%, see rank | 2.73% | 4.81% |
3 Rooms | 691, 9.13%, see rank | 7.69% | 9.84% |
4 Rooms | 1,208, 15.96%, see rank | 12.73% | 15.97% |
5 Rooms | 1,777, 23.48%, see rank | 17.61% | 20.89% |
6 Rooms | 1,642, 21.69%, see rank | 23.25% | 18.45% |
7 Rooms | 927, 12.25%, see rank | 14.62% | 12.06% |
8 Rooms | 444, 5.87%, see rank | 10.69% | 8.06% |
9 Rooms or More | 608, 8.03%, 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.