16049 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16049 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,687, 100% | 5,578,393 | 132,741,033 |
1 Room | 21, 1.24%, see rank | 1.73% | 1.95% |
2 Rooms | 8, 0.47%, see rank | 1.73% | 2.48% |
3 Rooms | 73, 4.33%, see rank | 7.21% | 9.13% |
4 Rooms | 238, 14.11%, see rank | 12.40% | 16.60% |
5 Rooms | 368, 21.81%, see rank | 16.40% | 20.41% |
6 Rooms | 365, 21.64%, see rank | 21.82% | 18.06% |
7 Rooms | 279, 16.54%, see rank | 14.82% | 12.27% |
8 Rooms | 207, 12.27%, see rank | 10.70% | 8.48% |
9 Rooms or More | 128, 7.59%, see rank | 13.18% | 10.60% |
Median Rooms | 5.90, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16049 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,808, 100% | 5,563,832 | 131,642,457 |
1 Room | 23, 1.27%, see rank | 1.68% | 1.95% |
2 Rooms | 12, 0.66%, see rank | 1.69% | 2.36% |
3 Rooms | 67, 3.71%, see rank | 7.15% | 8.97% |
4 Rooms | 229, 12.67%, see rank | 12.46% | 16.57% |
5 Rooms | 419, 23.17%, see rank | 16.43% | 20.41% |
6 Rooms | 421, 23.29%, see rank | 21.86% | 18.25% |
7 Rooms | 281, 15.54%, see rank | 14.93% | 12.38% |
8 Rooms | 189, 10.45%, see rank | 10.77% | 8.59% |
9 Rooms or More | 167, 9.24%, see rank | 13.03% | 10.52% |
Median Rooms | 5.90, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16049 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,697, 100% | 5,249,750 | 115,904,641 |
1 Room | 19, 1.12%, see rank | 1.19% | 2.20% |
2 Rooms | 52, 3.06%, see rank | 2.73% | 4.81% |
3 Rooms | 90, 5.30%, see rank | 7.69% | 9.84% |
4 Rooms | 230, 13.55%, see rank | 12.73% | 15.97% |
5 Rooms | 437, 25.75%, see rank | 17.61% | 20.89% |
6 Rooms | 396, 23.34%, see rank | 23.25% | 18.45% |
7 Rooms | 248, 14.61%, see rank | 14.62% | 12.06% |
8 Rooms | 117, 6.89%, see rank | 10.69% | 8.06% |
9 Rooms or More | 108, 6.36%, see rank | 9.49% | 7.70% |
Median Rooms | 5.60, 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.