26456 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 26456 Zip Code | West Virginia | U.S. |
Total Housing Units | 1,940, 100% | 883,197 | 132,741,033 |
1 Room | 35, 1.80%, see rank | 1.48% | 1.95% |
2 Rooms | 15, 0.77%, see rank | 1.41% | 2.48% |
3 Rooms | 107, 5.52%, see rank | 5.59% | 9.13% |
4 Rooms | 289, 14.90%, see rank | 15.81% | 16.60% |
5 Rooms | 370, 19.07%, see rank | 22.26% | 20.41% |
6 Rooms | 395, 20.36%, see rank | 20.46% | 18.06% |
7 Rooms | 270, 13.92%, see rank | 13.94% | 12.27% |
8 Rooms | 236, 12.16%, see rank | 9.00% | 8.48% |
9 Rooms or More | 223, 11.49%, see rank | 10.07% | 10.60% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 26456 Zip Code | West Virginia | U.S. |
Total Housing Units | 2,148, 100% | 882,240 | 131,642,457 |
1 Room | 59, 2.75%, see rank | 1.36% | 1.95% |
2 Rooms | 34, 1.58%, see rank | 1.31% | 2.36% |
3 Rooms | 88, 4.10%, see rank | 5.46% | 8.97% |
4 Rooms | 242, 11.27%, see rank | 15.75% | 16.57% |
5 Rooms | 392, 18.25%, see rank | 22.04% | 20.41% |
6 Rooms | 453, 21.09%, see rank | 20.86% | 18.25% |
7 Rooms | 403, 18.76%, see rank | 13.82% | 12.38% |
8 Rooms | 270, 12.57%, see rank | 9.21% | 8.59% |
9 Rooms or More | 207, 9.64%, see rank | 10.19% | 10.52% |
Median Rooms | 6.10, see rank | 5.70 | 5.50 |
US Census 2000 data
| 26456 Zip Code | West Virginia | U.S. |
Total Housing Units | 2,163, 100% | 844,623 | 115,904,641 |
1 Room | 60, 2.77%, see rank | 0.89% | 2.20% |
2 Rooms | 78, 3.61%, see rank | 2.01% | 4.81% |
3 Rooms | 104, 4.81%, see rank | 5.89% | 9.84% |
4 Rooms | 387, 17.89%, see rank | 17.24% | 15.97% |
5 Rooms | 513, 23.72%, see rank | 24.90% | 20.89% |
6 Rooms | 444, 20.53%, see rank | 21.10% | 18.45% |
7 Rooms | 257, 11.88%, see rank | 13.04% | 12.06% |
8 Rooms | 128, 5.92%, see rank | 7.97% | 8.06% |
9 Rooms or More | 192, 8.88%, see rank | 6.97% | 7.70% |
Median Rooms | 5.40, see rank | 5.50 | 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.