45648 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 45648 Zip Code | Ohio | U.S. |
Total Housing Units | 4,917, 100% | 5,135,173 | 132,741,033 |
1 Room | 46, 0.94%, see rank | 1.26% | 1.95% |
2 Rooms | 13, 0.26%, see rank | 1.48% | 2.48% |
3 Rooms | 201, 4.09%, see rank | 6.77% | 9.13% |
4 Rooms | 869, 17.67%, see rank | 13.78% | 16.60% |
5 Rooms | 1,058, 21.52%, see rank | 19.68% | 20.41% |
6 Rooms | 1,088, 22.13%, see rank | 20.19% | 18.06% |
7 Rooms | 737, 14.99%, see rank | 14.38% | 12.27% |
8 Rooms | 511, 10.39%, see rank | 10.23% | 8.48% |
9 Rooms or More | 394, 8.01%, see rank | 12.22% | 10.60% |
Median Rooms | 5.70, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 45648 Zip Code | Ohio | U.S. |
Total Housing Units | 4,675, 100% | 5,124,503 | 131,642,457 |
1 Room | 39, 0.83%, see rank | 1.24% | 1.95% |
2 Rooms | 9, 0.19%, see rank | 1.40% | 2.36% |
3 Rooms | 197, 4.21%, see rank | 6.70% | 8.97% |
4 Rooms | 790, 16.90%, see rank | 13.67% | 16.57% |
5 Rooms | 1,227, 26.25%, see rank | 19.64% | 20.41% |
6 Rooms | 982, 21.01%, see rank | 20.38% | 18.25% |
7 Rooms | 579, 12.39%, see rank | 14.49% | 12.38% |
8 Rooms | 470, 10.05%, see rank | 10.32% | 8.59% |
9 Rooms or More | 382, 8.17%, see rank | 12.15% | 10.52% |
Median Rooms | 5.60, see rank | 5.90 | 5.50 |
US Census 2000 data
| 45648 Zip Code | Ohio | U.S. |
Total Housing Units | 4,908, 100% | 4,783,051 | 115,904,641 |
1 Room | 29, 0.59%, see rank | 0.91% | 2.20% |
2 Rooms | 59, 1.20%, see rank | 2.39% | 4.81% |
3 Rooms | 128, 2.61%, see rank | 6.98% | 9.84% |
4 Rooms | 947, 19.30%, see rank | 13.73% | 15.97% |
5 Rooms | 1,329, 27.08%, see rank | 21.28% | 20.89% |
6 Rooms | 1,094, 22.29%, see rank | 20.97% | 18.45% |
7 Rooms | 613, 12.49%, see rank | 14.58% | 12.06% |
8 Rooms | 362, 7.38%, see rank | 10.04% | 8.06% |
9 Rooms or More | 347, 7.07%, see rank | 9.12% | 7.70% |
Median Rooms | 5.50, see rank | 5.70 | 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.