17324 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17324 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,925, 100% | 5,578,393 | 132,741,033 |
1 Room | 4, 0.21%, see rank | 1.73% | 1.95% |
2 Rooms | 14, 0.73%, see rank | 1.73% | 2.48% |
3 Rooms | 145, 7.53%, see rank | 7.21% | 9.13% |
4 Rooms | 260, 13.51%, see rank | 12.40% | 16.60% |
5 Rooms | 412, 21.40%, see rank | 16.40% | 20.41% |
6 Rooms | 474, 24.62%, see rank | 21.82% | 18.06% |
7 Rooms | 273, 14.18%, see rank | 14.82% | 12.27% |
8 Rooms | 206, 10.70%, see rank | 10.70% | 8.48% |
9 Rooms or More | 137, 7.12%, see rank | 13.18% | 10.60% |
Median Rooms | 5.80, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17324 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,846, 100% | 5,563,832 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.68% | 1.95% |
2 Rooms | 9, 0.49%, see rank | 1.69% | 2.36% |
3 Rooms | 119, 6.45%, see rank | 7.15% | 8.97% |
4 Rooms | 217, 11.76%, see rank | 12.46% | 16.57% |
5 Rooms | 326, 17.66%, see rank | 16.43% | 20.41% |
6 Rooms | 528, 28.60%, see rank | 21.86% | 18.25% |
7 Rooms | 329, 17.82%, see rank | 14.93% | 12.38% |
8 Rooms | 210, 11.38%, see rank | 10.77% | 8.59% |
9 Rooms or More | 108, 5.85%, see rank | 13.03% | 10.52% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17324 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,702, 100% | 5,249,750 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.19% | 2.20% |
2 Rooms | 6, 0.35%, see rank | 2.73% | 4.81% |
3 Rooms | 12, 0.71%, see rank | 7.69% | 9.84% |
4 Rooms | 261, 15.33%, see rank | 12.73% | 15.97% |
5 Rooms | 441, 25.91%, see rank | 17.61% | 20.89% |
6 Rooms | 430, 25.26%, see rank | 23.25% | 18.45% |
7 Rooms | 297, 17.45%, see rank | 14.62% | 12.06% |
8 Rooms | 186, 10.93%, see rank | 10.69% | 8.06% |
9 Rooms or More | 69, 4.05%, 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.