26408 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 26408 Zip Code | West Virginia | U.S. |
Total Housing Units | 1,283, 100% | 883,197 | 132,741,033 |
1 Room | 31, 2.42%, see rank | 1.48% | 1.95% |
2 Rooms | 51, 3.98%, see rank | 1.41% | 2.48% |
3 Rooms | 14, 1.09%, see rank | 5.59% | 9.13% |
4 Rooms | 98, 7.64%, see rank | 15.81% | 16.60% |
5 Rooms | 257, 20.03%, see rank | 22.26% | 20.41% |
6 Rooms | 386, 30.09%, see rank | 20.46% | 18.06% |
7 Rooms | 169, 13.17%, see rank | 13.94% | 12.27% |
8 Rooms | 151, 11.77%, see rank | 9.00% | 8.48% |
9 Rooms or More | 126, 9.82%, see rank | 10.07% | 10.60% |
Median Rooms | 6.00, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 26408 Zip Code | West Virginia | U.S. |
Total Housing Units | 1,076, 100% | 882,240 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.36% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.31% | 2.36% |
3 Rooms | 12, 1.12%, see rank | 5.46% | 8.97% |
4 Rooms | 75, 6.97%, see rank | 15.75% | 16.57% |
5 Rooms | 230, 21.38%, see rank | 22.04% | 20.41% |
6 Rooms | 266, 24.72%, see rank | 20.86% | 18.25% |
7 Rooms | 162, 15.06%, see rank | 13.82% | 12.38% |
8 Rooms | 176, 16.36%, see rank | 9.21% | 8.59% |
9 Rooms or More | 155, 14.41%, see rank | 10.19% | 10.52% |
Median Rooms | 6.30, see rank | 5.70 | 5.50 |
US Census 2000 data
| 26408 Zip Code | West Virginia | U.S. |
Total Housing Units | 1,056, 100% | 844,623 | 115,904,641 |
1 Room | 5, 0.47%, see rank | 0.89% | 2.20% |
2 Rooms | 9, 0.85%, see rank | 2.01% | 4.81% |
3 Rooms | 31, 2.94%, see rank | 5.89% | 9.84% |
4 Rooms | 105, 9.94%, see rank | 17.24% | 15.97% |
5 Rooms | 208, 19.70%, see rank | 24.90% | 20.89% |
6 Rooms | 270, 25.57%, see rank | 21.10% | 18.45% |
7 Rooms | 210, 19.89%, see rank | 13.04% | 12.06% |
8 Rooms | 108, 10.23%, see rank | 7.97% | 8.06% |
9 Rooms or More | 110, 10.42%, see rank | 6.97% | 7.70% |
Median Rooms | 6.10, 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.