16441 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 16441 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 4,042, 100% | 5,578,393 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.73% | 1.95% |
2 Rooms | 58, 1.43%, see rank | 1.73% | 2.48% |
3 Rooms | 125, 3.09%, see rank | 7.21% | 9.13% |
4 Rooms | 214, 5.29%, see rank | 12.40% | 16.60% |
5 Rooms | 751, 18.58%, see rank | 16.40% | 20.41% |
6 Rooms | 795, 19.67%, see rank | 21.82% | 18.06% |
7 Rooms | 842, 20.83%, see rank | 14.82% | 12.27% |
8 Rooms | 646, 15.98%, see rank | 10.70% | 8.48% |
9 Rooms or More | 611, 15.12%, see rank | 13.18% | 10.60% |
Median Rooms | 6.60, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 16441 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,962, 100% | 5,563,832 | 131,642,457 |
1 Room | 4, 0.10%, see rank | 1.68% | 1.95% |
2 Rooms | 44, 1.11%, see rank | 1.69% | 2.36% |
3 Rooms | 70, 1.77%, see rank | 7.15% | 8.97% |
4 Rooms | 205, 5.17%, see rank | 12.46% | 16.57% |
5 Rooms | 814, 20.55%, see rank | 16.43% | 20.41% |
6 Rooms | 891, 22.49%, see rank | 21.86% | 18.25% |
7 Rooms | 778, 19.64%, see rank | 14.93% | 12.38% |
8 Rooms | 539, 13.60%, see rank | 10.77% | 8.59% |
9 Rooms or More | 617, 15.57%, see rank | 13.03% | 10.52% |
Median Rooms | 6.40, see rank | 6.00 | 5.50 |
US Census 2000 data
| 16441 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 3,416, 100% | 5,249,750 | 115,904,641 |
1 Room | 15, 0.44%, see rank | 1.19% | 2.20% |
2 Rooms | 52, 1.52%, see rank | 2.73% | 4.81% |
3 Rooms | 84, 2.46%, see rank | 7.69% | 9.84% |
4 Rooms | 365, 10.69%, see rank | 12.73% | 15.97% |
5 Rooms | 861, 25.20%, see rank | 17.61% | 20.89% |
6 Rooms | 709, 20.76%, see rank | 23.25% | 18.45% |
7 Rooms | 620, 18.15%, see rank | 14.62% | 12.06% |
8 Rooms | 412, 12.06%, see rank | 10.69% | 8.06% |
9 Rooms or More | 298, 8.72%, 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.