25510 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 25510 Zip Code | West Virginia | U.S. |
Total Housing Units | 2,212, 100% | 883,197 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.48% | 1.95% |
2 Rooms | 22, 0.99%, see rank | 1.41% | 2.48% |
3 Rooms | 56, 2.53%, see rank | 5.59% | 9.13% |
4 Rooms | 302, 13.65%, see rank | 15.81% | 16.60% |
5 Rooms | 501, 22.65%, see rank | 22.26% | 20.41% |
6 Rooms | 513, 23.19%, see rank | 20.46% | 18.06% |
7 Rooms | 180, 8.14%, see rank | 13.94% | 12.27% |
8 Rooms | 290, 13.11%, see rank | 9.00% | 8.48% |
9 Rooms or More | 348, 15.73%, see rank | 10.07% | 10.60% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 25510 Zip Code | West Virginia | U.S. |
Total Housing Units | 2,249, 100% | 882,240 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.36% | 1.95% |
2 Rooms | 22, 0.98%, see rank | 1.31% | 2.36% |
3 Rooms | 130, 5.78%, see rank | 5.46% | 8.97% |
4 Rooms | 272, 12.09%, see rank | 15.75% | 16.57% |
5 Rooms | 494, 21.97%, see rank | 22.04% | 20.41% |
6 Rooms | 490, 21.79%, see rank | 20.86% | 18.25% |
7 Rooms | 357, 15.87%, see rank | 13.82% | 12.38% |
8 Rooms | 290, 12.89%, see rank | 9.21% | 8.59% |
9 Rooms or More | 194, 8.63%, see rank | 10.19% | 10.52% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
US Census 2000 data
| 25510 Zip Code | West Virginia | U.S. |
Total Housing Units | 2,126, 100% | 844,623 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 0.89% | 2.20% |
2 Rooms | 12, 0.56%, see rank | 2.01% | 4.81% |
3 Rooms | 56, 2.63%, see rank | 5.89% | 9.84% |
4 Rooms | 352, 16.56%, see rank | 17.24% | 15.97% |
5 Rooms | 517, 24.32%, see rank | 24.90% | 20.89% |
6 Rooms | 490, 23.05%, see rank | 21.10% | 18.45% |
7 Rooms | 289, 13.59%, see rank | 13.04% | 12.06% |
8 Rooms | 247, 11.62%, see rank | 7.97% | 8.06% |
9 Rooms or More | 163, 7.67%, see rank | 6.97% | 7.70% |
Median Rooms | 5.80, 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.