16830 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16830 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 6,751, 100% | 5,578,393 | 132,741,033 |
1 Room | 94, 1.39%, see rank | 1.73% | 1.95% |
2 Rooms | 162, 2.40%, see rank | 1.73% | 2.48% |
3 Rooms | 485, 7.18%, see rank | 7.21% | 9.13% |
4 Rooms | 884, 13.09%, see rank | 12.40% | 16.60% |
5 Rooms | 1,147, 16.99%, see rank | 16.40% | 20.41% |
6 Rooms | 1,619, 23.98%, see rank | 21.82% | 18.06% |
7 Rooms | 970, 14.37%, see rank | 14.82% | 12.27% |
8 Rooms | 624, 9.24%, see rank | 10.70% | 8.48% |
9 Rooms or More | 766, 11.35%, see rank | 13.18% | 10.60% |
Median Rooms | 5.90, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16830 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 6,629, 100% | 5,563,832 | 131,642,457 |
1 Room | 86, 1.30%, see rank | 1.68% | 1.95% |
2 Rooms | 134, 2.02%, see rank | 1.69% | 2.36% |
3 Rooms | 425, 6.41%, see rank | 7.15% | 8.97% |
4 Rooms | 1,021, 15.40%, see rank | 12.46% | 16.57% |
5 Rooms | 1,274, 19.22%, see rank | 16.43% | 20.41% |
6 Rooms | 1,512, 22.81%, see rank | 21.86% | 18.25% |
7 Rooms | 870, 13.12%, see rank | 14.93% | 12.38% |
8 Rooms | 513, 7.74%, see rank | 10.77% | 8.59% |
9 Rooms or More | 794, 11.98%, see rank | 13.03% | 10.52% |
Median Rooms | 5.70, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16830 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 6,641, 100% | 5,249,750 | 115,904,641 |
1 Room | 64, 0.96%, see rank | 1.19% | 2.20% |
2 Rooms | 135, 2.03%, see rank | 2.73% | 4.81% |
3 Rooms | 498, 7.50%, see rank | 7.69% | 9.84% |
4 Rooms | 905, 13.63%, see rank | 12.73% | 15.97% |
5 Rooms | 1,333, 20.07%, see rank | 17.61% | 20.89% |
6 Rooms | 1,646, 24.79%, see rank | 23.25% | 18.45% |
7 Rooms | 1,015, 15.28%, see rank | 14.62% | 12.06% |
8 Rooms | 562, 8.46%, see rank | 10.69% | 8.06% |
9 Rooms or More | 483, 7.27%, see rank | 9.49% | 7.70% |
Median Rooms | 5.70, 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.