18032 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 18032 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 4,063, 100% | 5,578,393 | 132,741,033 |
1 Room | 98, 2.41%, see rank | 1.73% | 1.95% |
2 Rooms | 82, 2.02%, see rank | 1.73% | 2.48% |
3 Rooms | 596, 14.67%, see rank | 7.21% | 9.13% |
4 Rooms | 436, 10.73%, see rank | 12.40% | 16.60% |
5 Rooms | 861, 21.19%, see rank | 16.40% | 20.41% |
6 Rooms | 781, 19.22%, see rank | 21.82% | 18.06% |
7 Rooms | 610, 15.01%, see rank | 14.82% | 12.27% |
8 Rooms | 315, 7.75%, see rank | 10.70% | 8.48% |
9 Rooms or More | 284, 6.99%, see rank | 13.18% | 10.60% |
Median Rooms | 5.50, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 18032 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 4,019, 100% | 5,563,832 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.68% | 1.95% |
2 Rooms | 62, 1.54%, see rank | 1.69% | 2.36% |
3 Rooms | 466, 11.59%, see rank | 7.15% | 8.97% |
4 Rooms | 306, 7.61%, see rank | 12.46% | 16.57% |
5 Rooms | 842, 20.95%, see rank | 16.43% | 20.41% |
6 Rooms | 988, 24.58%, see rank | 21.86% | 18.25% |
7 Rooms | 685, 17.04%, see rank | 14.93% | 12.38% |
8 Rooms | 309, 7.69%, see rank | 10.77% | 8.59% |
9 Rooms or More | 361, 8.98%, see rank | 13.03% | 10.52% |
Median Rooms | 5.80, see rank | 6.00 | 5.50 |
US Census 2000 data
| 18032 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,904, 100% | 5,249,750 | 115,904,641 |
1 Room | 49, 1.26%, see rank | 1.19% | 2.20% |
2 Rooms | 98, 2.51%, see rank | 2.73% | 4.81% |
3 Rooms | 326, 8.35%, see rank | 7.69% | 9.84% |
4 Rooms | 318, 8.15%, see rank | 12.73% | 15.97% |
5 Rooms | 645, 16.52%, see rank | 17.61% | 20.89% |
6 Rooms | 994, 25.46%, see rank | 23.25% | 18.45% |
7 Rooms | 771, 19.75%, see rank | 14.62% | 12.06% |
8 Rooms | 350, 8.97%, see rank | 10.69% | 8.06% |
9 Rooms or More | 353, 9.04%, see rank | 9.49% | 7.70% |
Median Rooms | 6.00, 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.