16423 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16423 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,832, 100% | 5,578,393 | 132,741,033 |
1 Room | 36, 1.97%, see rank | 1.73% | 1.95% |
2 Rooms | 31, 1.69%, see rank | 1.73% | 2.48% |
3 Rooms | 47, 2.57%, see rank | 7.21% | 9.13% |
4 Rooms | 189, 10.32%, see rank | 12.40% | 16.60% |
5 Rooms | 469, 25.60%, see rank | 16.40% | 20.41% |
6 Rooms | 301, 16.43%, see rank | 21.82% | 18.06% |
7 Rooms | 299, 16.32%, see rank | 14.82% | 12.27% |
8 Rooms | 257, 14.03%, see rank | 10.70% | 8.48% |
9 Rooms or More | 203, 11.08%, see rank | 13.18% | 10.60% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16423 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,894, 100% | 5,563,832 | 131,642,457 |
1 Room | 49, 2.59%, see rank | 1.68% | 1.95% |
2 Rooms | 38, 2.01%, see rank | 1.69% | 2.36% |
3 Rooms | 62, 3.27%, see rank | 7.15% | 8.97% |
4 Rooms | 178, 9.40%, see rank | 12.46% | 16.57% |
5 Rooms | 463, 24.45%, see rank | 16.43% | 20.41% |
6 Rooms | 353, 18.64%, see rank | 21.86% | 18.25% |
7 Rooms | 284, 14.99%, see rank | 14.93% | 12.38% |
8 Rooms | 264, 13.94%, see rank | 10.77% | 8.59% |
9 Rooms or More | 203, 10.72%, see rank | 13.03% | 10.52% |
Median Rooms | 5.90, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16423 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,663, 100% | 5,249,750 | 115,904,641 |
1 Room | 11, 0.66%, see rank | 1.19% | 2.20% |
2 Rooms | 54, 3.25%, see rank | 2.73% | 4.81% |
3 Rooms | 72, 4.33%, see rank | 7.69% | 9.84% |
4 Rooms | 255, 15.33%, see rank | 12.73% | 15.97% |
5 Rooms | 382, 22.97%, see rank | 17.61% | 20.89% |
6 Rooms | 360, 21.65%, see rank | 23.25% | 18.45% |
7 Rooms | 219, 13.17%, see rank | 14.62% | 12.06% |
8 Rooms | 172, 10.34%, see rank | 10.69% | 8.06% |
9 Rooms or More | 138, 8.30%, 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.