26812 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 26812 Zip Code | West Virginia | U.S. |
Total Housing Units | 1,101, 100% | 883,197 | 132,741,033 |
1 Room | 27, 2.45%, see rank | 1.48% | 1.95% |
2 Rooms | 48, 4.36%, see rank | 1.41% | 2.48% |
3 Rooms | 131, 11.90%, see rank | 5.59% | 9.13% |
4 Rooms | 164, 14.90%, see rank | 15.81% | 16.60% |
5 Rooms | 304, 27.61%, see rank | 22.26% | 20.41% |
6 Rooms | 209, 18.98%, see rank | 20.46% | 18.06% |
7 Rooms | 96, 8.72%, see rank | 13.94% | 12.27% |
8 Rooms | 21, 1.91%, see rank | 9.00% | 8.48% |
9 Rooms or More | 101, 9.17%, see rank | 10.07% | 10.60% |
Median Rooms | 5.10, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 26812 Zip Code | West Virginia | U.S. |
Total Housing Units | 1,223, 100% | 882,240 | 131,642,457 |
1 Room | 15, 1.23%, see rank | 1.36% | 1.95% |
2 Rooms | 42, 3.43%, see rank | 1.31% | 2.36% |
3 Rooms | 90, 7.36%, see rank | 5.46% | 8.97% |
4 Rooms | 233, 19.05%, see rank | 15.75% | 16.57% |
5 Rooms | 293, 23.96%, see rank | 22.04% | 20.41% |
6 Rooms | 246, 20.11%, see rank | 20.86% | 18.25% |
7 Rooms | 127, 10.38%, see rank | 13.82% | 12.38% |
8 Rooms | 39, 3.19%, see rank | 9.21% | 8.59% |
9 Rooms or More | 138, 11.28%, see rank | 10.19% | 10.52% |
Median Rooms | 5.30, see rank | 5.70 | 5.50 |
US Census 2000 data
| 26812 Zip Code | West Virginia | U.S. |
Total Housing Units | 1,081, 100% | 844,623 | 115,904,641 |
1 Room | 9, 0.83%, see rank | 0.89% | 2.20% |
2 Rooms | 65, 6.01%, see rank | 2.01% | 4.81% |
3 Rooms | 85, 7.86%, see rank | 5.89% | 9.84% |
4 Rooms | 166, 15.36%, see rank | 17.24% | 15.97% |
5 Rooms | 271, 25.07%, see rank | 24.90% | 20.89% |
6 Rooms | 250, 23.13%, see rank | 21.10% | 18.45% |
7 Rooms | 103, 9.53%, see rank | 13.04% | 12.06% |
8 Rooms | 81, 7.49%, see rank | 7.97% | 8.06% |
9 Rooms or More | 51, 4.72%, see rank | 6.97% | 7.70% |
Median Rooms | 5.30, 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.