25438 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 25438 Zip Code | West Virginia | U.S. |
Total Housing Units | 2,837, 100% | 883,197 | 132,741,033 |
1 Room | 29, 1.02%, see rank | 1.48% | 1.95% |
2 Rooms | 67, 2.36%, see rank | 1.41% | 2.48% |
3 Rooms | 94, 3.31%, see rank | 5.59% | 9.13% |
4 Rooms | 527, 18.58%, see rank | 15.81% | 16.60% |
5 Rooms | 736, 25.94%, see rank | 22.26% | 20.41% |
6 Rooms | 519, 18.29%, see rank | 20.46% | 18.06% |
7 Rooms | 408, 14.38%, see rank | 13.94% | 12.27% |
8 Rooms | 263, 9.27%, see rank | 9.00% | 8.48% |
9 Rooms or More | 194, 6.84%, see rank | 10.07% | 10.60% |
Median Rooms | 5.50, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 25438 Zip Code | West Virginia | U.S. |
Total Housing Units | 2,813, 100% | 882,240 | 131,642,457 |
1 Room | 77, 2.74%, see rank | 1.36% | 1.95% |
2 Rooms | 15, 0.53%, see rank | 1.31% | 2.36% |
3 Rooms | 59, 2.10%, see rank | 5.46% | 8.97% |
4 Rooms | 601, 21.37%, see rank | 15.75% | 16.57% |
5 Rooms | 596, 21.19%, see rank | 22.04% | 20.41% |
6 Rooms | 437, 15.54%, see rank | 20.86% | 18.25% |
7 Rooms | 472, 16.78%, see rank | 13.82% | 12.38% |
8 Rooms | 235, 8.35%, see rank | 9.21% | 8.59% |
9 Rooms or More | 321, 11.41%, see rank | 10.19% | 10.52% |
Median Rooms | 5.60, see rank | 5.70 | 5.50 |
US Census 2000 data
| 25438 Zip Code | West Virginia | U.S. |
Total Housing Units | 1,348, 100% | 844,623 | 115,904,641 |
1 Room | 16, 1.19%, see rank | 0.89% | 2.20% |
2 Rooms | 42, 3.12%, see rank | 2.01% | 4.81% |
3 Rooms | 128, 9.50%, see rank | 5.89% | 9.84% |
4 Rooms | 229, 16.99%, see rank | 17.24% | 15.97% |
5 Rooms | 466, 34.57%, see rank | 24.90% | 20.89% |
6 Rooms | 289, 21.44%, see rank | 21.10% | 18.45% |
7 Rooms | 77, 5.71%, see rank | 13.04% | 12.06% |
8 Rooms | 63, 4.67%, see rank | 7.97% | 8.06% |
9 Rooms or More | 38, 2.82%, see rank | 6.97% | 7.70% |
Median Rooms | 5.10, 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.