44615 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 44615 Zip Code | Ohio | U.S. |
Total Housing Units | 5,355, 100% | 5,135,173 | 132,741,033 |
1 Room | 76, 1.42%, see rank | 1.26% | 1.95% |
2 Rooms | 141, 2.63%, see rank | 1.48% | 2.48% |
3 Rooms | 395, 7.38%, see rank | 6.77% | 9.13% |
4 Rooms | 696, 13.00%, see rank | 13.78% | 16.60% |
5 Rooms | 1,103, 20.60%, see rank | 19.68% | 20.41% |
6 Rooms | 982, 18.34%, see rank | 20.19% | 18.06% |
7 Rooms | 808, 15.09%, see rank | 14.38% | 12.27% |
8 Rooms | 568, 10.61%, see rank | 10.23% | 8.48% |
9 Rooms or More | 586, 10.94%, see rank | 12.22% | 10.60% |
Median Rooms | 5.80, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 44615 Zip Code | Ohio | U.S. |
Total Housing Units | 5,235, 100% | 5,124,503 | 131,642,457 |
1 Room | 87, 1.66%, see rank | 1.24% | 1.95% |
2 Rooms | 33, 0.63%, see rank | 1.40% | 2.36% |
3 Rooms | 450, 8.60%, see rank | 6.70% | 8.97% |
4 Rooms | 483, 9.23%, see rank | 13.67% | 16.57% |
5 Rooms | 1,154, 22.04%, see rank | 19.64% | 20.41% |
6 Rooms | 1,164, 22.23%, see rank | 20.38% | 18.25% |
7 Rooms | 757, 14.46%, see rank | 14.49% | 12.38% |
8 Rooms | 511, 9.76%, see rank | 10.32% | 8.59% |
9 Rooms or More | 596, 11.38%, see rank | 12.15% | 10.52% |
Median Rooms | 5.90, see rank | 5.90 | 5.50 |
US Census 2000 data
| 44615 Zip Code | Ohio | U.S. |
Total Housing Units | 4,980, 100% | 4,783,051 | 115,904,641 |
1 Room | 45, 0.90%, see rank | 0.91% | 2.20% |
2 Rooms | 81, 1.63%, see rank | 2.39% | 4.81% |
3 Rooms | 224, 4.50%, see rank | 6.98% | 9.84% |
4 Rooms | 897, 18.01%, see rank | 13.73% | 15.97% |
5 Rooms | 1,194, 23.98%, see rank | 21.28% | 20.89% |
6 Rooms | 1,018, 20.44%, see rank | 20.97% | 18.45% |
7 Rooms | 724, 14.54%, see rank | 14.58% | 12.06% |
8 Rooms | 446, 8.96%, see rank | 10.04% | 8.06% |
9 Rooms or More | 351, 7.05%, 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.