44883 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 44883 Zip Code | Ohio | U.S. |
Total Housing Units | 12,425, 100% | 5,135,173 | 132,741,033 |
1 Room | 195, 1.57%, see rank | 1.26% | 1.95% |
2 Rooms | 64, 0.52%, see rank | 1.48% | 2.48% |
3 Rooms | 664, 5.34%, see rank | 6.77% | 9.13% |
4 Rooms | 1,360, 10.95%, see rank | 13.78% | 16.60% |
5 Rooms | 2,789, 22.45%, see rank | 19.68% | 20.41% |
6 Rooms | 2,344, 18.87%, see rank | 20.19% | 18.06% |
7 Rooms | 2,093, 16.85%, see rank | 14.38% | 12.27% |
8 Rooms | 1,449, 11.66%, see rank | 10.23% | 8.48% |
9 Rooms or More | 1,467, 11.81%, see rank | 12.22% | 10.60% |
Median Rooms | 6.00, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 44883 Zip Code | Ohio | U.S. |
Total Housing Units | 12,725, 100% | 5,124,503 | 131,642,457 |
1 Room | 211, 1.66%, see rank | 1.24% | 1.95% |
2 Rooms | 60, 0.47%, see rank | 1.40% | 2.36% |
3 Rooms | 596, 4.68%, see rank | 6.70% | 8.97% |
4 Rooms | 1,422, 11.17%, see rank | 13.67% | 16.57% |
5 Rooms | 2,826, 22.21%, see rank | 19.64% | 20.41% |
6 Rooms | 2,700, 21.22%, see rank | 20.38% | 18.25% |
7 Rooms | 2,070, 16.27%, see rank | 14.49% | 12.38% |
8 Rooms | 1,472, 11.57%, see rank | 10.32% | 8.59% |
9 Rooms or More | 1,368, 10.75%, see rank | 12.15% | 10.52% |
Median Rooms | 6.00, see rank | 5.90 | 5.50 |
US Census 2000 data
| 44883 Zip Code | Ohio | U.S. |
Total Housing Units | 12,183, 100% | 4,783,051 | 115,904,641 |
1 Room | 113, 0.93%, see rank | 0.91% | 2.20% |
2 Rooms | 170, 1.40%, see rank | 2.39% | 4.81% |
3 Rooms | 772, 6.34%, see rank | 6.98% | 9.84% |
4 Rooms | 1,525, 12.52%, see rank | 13.73% | 15.97% |
5 Rooms | 2,751, 22.58%, see rank | 21.28% | 20.89% |
6 Rooms | 2,696, 22.13%, see rank | 20.97% | 18.45% |
7 Rooms | 1,890, 15.51%, see rank | 14.58% | 12.06% |
8 Rooms | 1,204, 9.88%, see rank | 10.04% | 8.06% |
9 Rooms or More | 1,062, 8.72%, see rank | 9.12% | 7.70% |
Median Rooms | 5.80, 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.