16223 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| | 16223 Zip Code | Pennsylvania | U.S. |
| Total Housing Units | 77, 100% | 5,578,393 | 132,741,033 |
| 1 Room | 0, 0.00%, see rank | 1.73% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 1.73% | 2.48% |
| 3 Rooms | 9, 11.69%, see rank | 7.21% | 9.13% |
| 4 Rooms | 4, 5.19%, see rank | 12.40% | 16.60% |
| 5 Rooms | 23, 29.87%, see rank | 16.40% | 20.41% |
| 6 Rooms | 18, 23.38%, see rank | 21.82% | 18.06% |
| 7 Rooms | 6, 7.79%, see rank | 14.82% | 12.27% |
| 8 Rooms | 5, 6.49%, see rank | 10.70% | 8.48% |
| 9 Rooms or More | 12, 15.58%, see rank | 13.18% | 10.60% |
| Median Rooms | 5.60, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| | 16223 Zip Code | Pennsylvania | U.S. |
| Total Housing Units | 48, 100% | 5,563,832 | 131,642,457 |
| 1 Room | 0, 0.00%, see rank | 1.68% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 1.69% | 2.36% |
| 3 Rooms | 0, 0.00%, see rank | 7.15% | 8.97% |
| 4 Rooms | 3, 6.25%, see rank | 12.46% | 16.57% |
| 5 Rooms | 20, 41.67%, see rank | 16.43% | 20.41% |
| 6 Rooms | 13, 27.08%, see rank | 21.86% | 18.25% |
| 7 Rooms | 2, 4.17%, see rank | 14.93% | 12.38% |
| 8 Rooms | 4, 8.33%, see rank | 10.77% | 8.59% |
| 9 Rooms or More | 6, 12.50%, see rank | 13.03% | 10.52% |
| Median Rooms | 5.60, see rank | 6.00 | 5.50 |
US Census 2000 data
| | 16223 Zip Code | Pennsylvania | U.S. |
| Total Housing Units | 45, 100% | 5,249,750 | 115,904,641 |
| 1 Room | 0, 0.00%, see rank | 1.19% | 2.20% |
| 2 Rooms | 0, 0.00%, see rank | 2.73% | 4.81% |
| 3 Rooms | 0, 0.00%, see rank | 7.69% | 9.84% |
| 4 Rooms | 2, 4.44%, see rank | 12.73% | 15.97% |
| 5 Rooms | 13, 28.89%, see rank | 17.61% | 20.89% |
| 6 Rooms | 23, 51.11%, see rank | 23.25% | 18.45% |
| 7 Rooms | 5, 11.11%, see rank | 14.62% | 12.06% |
| 8 Rooms | 0, 0.00%, see rank | 10.69% | 8.06% |
| 9 Rooms or More | 2, 4.44%, see rank | 9.49% | 7.70% |
| Median Rooms | 5.80, 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.
