25703 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 25703 Zip Code | West Virginia | U.S. |
Total Housing Units | 2,561, 100% | 883,197 | 132,741,033 |
1 Room | 24, 0.94%, see rank | 1.48% | 1.95% |
2 Rooms | 147, 5.74%, see rank | 1.41% | 2.48% |
3 Rooms | 434, 16.95%, see rank | 5.59% | 9.13% |
4 Rooms | 619, 24.17%, see rank | 15.81% | 16.60% |
5 Rooms | 365, 14.25%, see rank | 22.26% | 20.41% |
6 Rooms | 421, 16.44%, see rank | 20.46% | 18.06% |
7 Rooms | 249, 9.72%, see rank | 13.94% | 12.27% |
8 Rooms | 133, 5.19%, see rank | 9.00% | 8.48% |
9 Rooms or More | 169, 6.60%, see rank | 10.07% | 10.60% |
Median Rooms | 4.70, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 25703 Zip Code | West Virginia | U.S. |
Total Housing Units | 2,570, 100% | 882,240 | 131,642,457 |
1 Room | 55, 2.14%, see rank | 1.36% | 1.95% |
2 Rooms | 136, 5.29%, see rank | 1.31% | 2.36% |
3 Rooms | 433, 16.85%, see rank | 5.46% | 8.97% |
4 Rooms | 512, 19.92%, see rank | 15.75% | 16.57% |
5 Rooms | 465, 18.09%, see rank | 22.04% | 20.41% |
6 Rooms | 413, 16.07%, see rank | 20.86% | 18.25% |
7 Rooms | 222, 8.64%, see rank | 13.82% | 12.38% |
8 Rooms | 174, 6.77%, see rank | 9.21% | 8.59% |
9 Rooms or More | 160, 6.23%, see rank | 10.19% | 10.52% |
Median Rooms | 4.80, see rank | 5.70 | 5.50 |
US Census 2000 data
| 25703 Zip Code | West Virginia | U.S. |
Total Housing Units | 2,688, 100% | 844,623 | 115,904,641 |
1 Room | 13, 0.48%, see rank | 0.89% | 2.20% |
2 Rooms | 92, 3.42%, see rank | 2.01% | 4.81% |
3 Rooms | 425, 15.81%, see rank | 5.89% | 9.84% |
4 Rooms | 575, 21.39%, see rank | 17.24% | 15.97% |
5 Rooms | 540, 20.09%, see rank | 24.90% | 20.89% |
6 Rooms | 436, 16.22%, see rank | 21.10% | 18.45% |
7 Rooms | 322, 11.98%, see rank | 13.04% | 12.06% |
8 Rooms | 131, 4.87%, see rank | 7.97% | 8.06% |
9 Rooms or More | 154, 5.73%, see rank | 6.97% | 7.70% |
Median Rooms | 4.90, 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.