25303 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 25303 Zip Code | West Virginia | U.S. |
Total Housing Units | 3,608, 100% | 883,197 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.48% | 1.95% |
2 Rooms | 42, 1.16%, see rank | 1.41% | 2.48% |
3 Rooms | 230, 6.37%, see rank | 5.59% | 9.13% |
4 Rooms | 545, 15.11%, see rank | 15.81% | 16.60% |
5 Rooms | 639, 17.71%, see rank | 22.26% | 20.41% |
6 Rooms | 540, 14.97%, see rank | 20.46% | 18.06% |
7 Rooms | 504, 13.97%, see rank | 13.94% | 12.27% |
8 Rooms | 548, 15.19%, see rank | 9.00% | 8.48% |
9 Rooms or More | 560, 15.52%, see rank | 10.07% | 10.60% |
Median Rooms | 6.10, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 25303 Zip Code | West Virginia | U.S. |
Total Housing Units | 3,479, 100% | 882,240 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.36% | 1.95% |
2 Rooms | 27, 0.78%, see rank | 1.31% | 2.36% |
3 Rooms | 206, 5.92%, see rank | 5.46% | 8.97% |
4 Rooms | 583, 16.76%, see rank | 15.75% | 16.57% |
5 Rooms | 655, 18.83%, see rank | 22.04% | 20.41% |
6 Rooms | 573, 16.47%, see rank | 20.86% | 18.25% |
7 Rooms | 507, 14.57%, see rank | 13.82% | 12.38% |
8 Rooms | 414, 11.90%, see rank | 9.21% | 8.59% |
9 Rooms or More | 514, 14.77%, see rank | 10.19% | 10.52% |
Median Rooms | 6.00, see rank | 5.70 | 5.50 |
US Census 2000 data
| 25303 Zip Code | West Virginia | U.S. |
Total Housing Units | 3,525, 100% | 844,623 | 115,904,641 |
1 Room | 7, 0.20%, see rank | 0.89% | 2.20% |
2 Rooms | 64, 1.82%, see rank | 2.01% | 4.81% |
3 Rooms | 238, 6.75%, see rank | 5.89% | 9.84% |
4 Rooms | 442, 12.54%, see rank | 17.24% | 15.97% |
5 Rooms | 676, 19.18%, see rank | 24.90% | 20.89% |
6 Rooms | 747, 21.19%, see rank | 21.10% | 18.45% |
7 Rooms | 656, 18.61%, see rank | 13.04% | 12.06% |
8 Rooms | 424, 12.03%, see rank | 7.97% | 8.06% |
9 Rooms or More | 271, 7.69%, see rank | 6.97% | 7.70% |
Median Rooms | 5.90, 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.