26206 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 26206 Zip Code | West Virginia | U.S. |
Total Housing Units | 1,733, 100% | 883,197 | 132,741,033 |
1 Room | 9, 0.52%, see rank | 1.48% | 1.95% |
2 Rooms | 26, 1.50%, see rank | 1.41% | 2.48% |
3 Rooms | 78, 4.50%, see rank | 5.59% | 9.13% |
4 Rooms | 478, 27.58%, see rank | 15.81% | 16.60% |
5 Rooms | 364, 21.00%, see rank | 22.26% | 20.41% |
6 Rooms | 336, 19.39%, see rank | 20.46% | 18.06% |
7 Rooms | 194, 11.19%, see rank | 13.94% | 12.27% |
8 Rooms | 150, 8.66%, see rank | 9.00% | 8.48% |
9 Rooms or More | 98, 5.65%, see rank | 10.07% | 10.60% |
Median Rooms | 5.30, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 26206 Zip Code | West Virginia | U.S. |
Total Housing Units | 1,627, 100% | 882,240 | 131,642,457 |
1 Room | 28, 1.72%, see rank | 1.36% | 1.95% |
2 Rooms | 11, 0.68%, see rank | 1.31% | 2.36% |
3 Rooms | 110, 6.76%, see rank | 5.46% | 8.97% |
4 Rooms | 346, 21.27%, see rank | 15.75% | 16.57% |
5 Rooms | 374, 22.99%, see rank | 22.04% | 20.41% |
6 Rooms | 394, 24.22%, see rank | 20.86% | 18.25% |
7 Rooms | 99, 6.08%, see rank | 13.82% | 12.38% |
8 Rooms | 163, 10.02%, see rank | 9.21% | 8.59% |
9 Rooms or More | 102, 6.27%, see rank | 10.19% | 10.52% |
Median Rooms | 5.40, see rank | 5.70 | 5.50 |
US Census 2000 data
| 26206 Zip Code | West Virginia | U.S. |
Total Housing Units | 1,485, 100% | 844,623 | 115,904,641 |
1 Room | 42, 2.83%, see rank | 0.89% | 2.20% |
2 Rooms | 47, 3.16%, see rank | 2.01% | 4.81% |
3 Rooms | 71, 4.78%, see rank | 5.89% | 9.84% |
4 Rooms | 353, 23.77%, see rank | 17.24% | 15.97% |
5 Rooms | 378, 25.45%, see rank | 24.90% | 20.89% |
6 Rooms | 284, 19.12%, see rank | 21.10% | 18.45% |
7 Rooms | 159, 10.71%, see rank | 13.04% | 12.06% |
8 Rooms | 68, 4.58%, see rank | 7.97% | 8.06% |
9 Rooms or More | 83, 5.59%, see rank | 6.97% | 7.70% |
Median Rooms | 5.10, 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.