44485 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 44485 Zip Code | Ohio | U.S. |
Total Housing Units | 8,284, 100% | 5,135,173 | 132,741,033 |
1 Room | 217, 2.62%, see rank | 1.26% | 1.95% |
2 Rooms | 58, 0.70%, see rank | 1.48% | 2.48% |
3 Rooms | 284, 3.43%, see rank | 6.77% | 9.13% |
4 Rooms | 1,251, 15.10%, see rank | 13.78% | 16.60% |
5 Rooms | 2,689, 32.46%, see rank | 19.68% | 20.41% |
6 Rooms | 2,074, 25.04%, see rank | 20.19% | 18.06% |
7 Rooms | 949, 11.46%, see rank | 14.38% | 12.27% |
8 Rooms | 393, 4.74%, see rank | 10.23% | 8.48% |
9 Rooms or More | 369, 4.45%, see rank | 12.22% | 10.60% |
Median Rooms | 5.40, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 44485 Zip Code | Ohio | U.S. |
Total Housing Units | 8,453, 100% | 5,124,503 | 131,642,457 |
1 Room | 234, 2.77%, see rank | 1.24% | 1.95% |
2 Rooms | 60, 0.71%, see rank | 1.40% | 2.36% |
3 Rooms | 303, 3.58%, see rank | 6.70% | 8.97% |
4 Rooms | 1,118, 13.23%, see rank | 13.67% | 16.57% |
5 Rooms | 2,744, 32.46%, see rank | 19.64% | 20.41% |
6 Rooms | 2,211, 26.16%, see rank | 20.38% | 18.25% |
7 Rooms | 929, 10.99%, see rank | 14.49% | 12.38% |
8 Rooms | 425, 5.03%, see rank | 10.32% | 8.59% |
9 Rooms or More | 429, 5.08%, see rank | 12.15% | 10.52% |
Median Rooms | 5.40, see rank | 5.90 | 5.50 |
US Census 2000 data
| 44485 Zip Code | Ohio | U.S. |
Total Housing Units | 8,752, 100% | 4,783,051 | 115,904,641 |
1 Room | 35, 0.40%, see rank | 0.91% | 2.20% |
2 Rooms | 177, 2.02%, see rank | 2.39% | 4.81% |
3 Rooms | 477, 5.45%, see rank | 6.98% | 9.84% |
4 Rooms | 1,572, 17.96%, see rank | 13.73% | 15.97% |
5 Rooms | 2,545, 29.08%, see rank | 21.28% | 20.89% |
6 Rooms | 2,036, 23.26%, see rank | 20.97% | 18.45% |
7 Rooms | 1,024, 11.70%, see rank | 14.58% | 12.06% |
8 Rooms | 560, 6.40%, see rank | 10.04% | 8.06% |
9 Rooms or More | 326, 3.72%, see rank | 9.12% | 7.70% |
Median Rooms | 5.30, 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.