44425 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 44425 Zip Code | Ohio | U.S. |
Total Housing Units | 6,815, 100% | 5,135,173 | 132,741,033 |
1 Room | 81, 1.19%, see rank | 1.26% | 1.95% |
2 Rooms | 94, 1.38%, see rank | 1.48% | 2.48% |
3 Rooms | 187, 2.74%, see rank | 6.77% | 9.13% |
4 Rooms | 798, 11.71%, see rank | 13.78% | 16.60% |
5 Rooms | 1,531, 22.47%, see rank | 19.68% | 20.41% |
6 Rooms | 1,773, 26.02%, see rank | 20.19% | 18.06% |
7 Rooms | 1,182, 17.34%, see rank | 14.38% | 12.27% |
8 Rooms | 683, 10.02%, see rank | 10.23% | 8.48% |
9 Rooms or More | 486, 7.13%, see rank | 12.22% | 10.60% |
Median Rooms | 5.90, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 44425 Zip Code | Ohio | U.S. |
Total Housing Units | 6,990, 100% | 5,124,503 | 131,642,457 |
1 Room | 87, 1.24%, see rank | 1.24% | 1.95% |
2 Rooms | 8, 0.11%, see rank | 1.40% | 2.36% |
3 Rooms | 296, 4.23%, see rank | 6.70% | 8.97% |
4 Rooms | 701, 10.03%, see rank | 13.67% | 16.57% |
5 Rooms | 1,661, 23.76%, see rank | 19.64% | 20.41% |
6 Rooms | 1,742, 24.92%, see rank | 20.38% | 18.25% |
7 Rooms | 1,224, 17.51%, see rank | 14.49% | 12.38% |
8 Rooms | 675, 9.66%, see rank | 10.32% | 8.59% |
9 Rooms or More | 596, 8.53%, see rank | 12.15% | 10.52% |
Median Rooms | 5.90, see rank | 5.90 | 5.50 |
US Census 2000 data
| 44425 Zip Code | Ohio | U.S. |
Total Housing Units | 6,689, 100% | 4,783,051 | 115,904,641 |
1 Room | 47, 0.70%, see rank | 0.91% | 2.20% |
2 Rooms | 102, 1.52%, see rank | 2.39% | 4.81% |
3 Rooms | 298, 4.46%, see rank | 6.98% | 9.84% |
4 Rooms | 684, 10.23%, see rank | 13.73% | 15.97% |
5 Rooms | 1,714, 25.62%, see rank | 21.28% | 20.89% |
6 Rooms | 1,799, 26.89%, see rank | 20.97% | 18.45% |
7 Rooms | 1,068, 15.97%, see rank | 14.58% | 12.06% |
8 Rooms | 549, 8.21%, see rank | 10.04% | 8.06% |
9 Rooms or More | 428, 6.40%, 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.