45015 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 45015 Zip Code | Ohio | U.S. |
Total Housing Units | 5,279, 100% | 5,135,173 | 132,741,033 |
1 Room | 109, 2.06%, see rank | 1.26% | 1.95% |
2 Rooms | 42, 0.80%, see rank | 1.48% | 2.48% |
3 Rooms | 375, 7.10%, see rank | 6.77% | 9.13% |
4 Rooms | 1,177, 22.30%, see rank | 13.78% | 16.60% |
5 Rooms | 1,609, 30.48%, see rank | 19.68% | 20.41% |
6 Rooms | 975, 18.47%, see rank | 20.19% | 18.06% |
7 Rooms | 486, 9.21%, see rank | 14.38% | 12.27% |
8 Rooms | 302, 5.72%, see rank | 10.23% | 8.48% |
9 Rooms or More | 204, 3.86%, see rank | 12.22% | 10.60% |
Median Rooms | 5.10, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 45015 Zip Code | Ohio | U.S. |
Total Housing Units | 5,110, 100% | 5,124,503 | 131,642,457 |
1 Room | 119, 2.33%, see rank | 1.24% | 1.95% |
2 Rooms | 48, 0.94%, see rank | 1.40% | 2.36% |
3 Rooms | 400, 7.83%, see rank | 6.70% | 8.97% |
4 Rooms | 999, 19.55%, see rank | 13.67% | 16.57% |
5 Rooms | 1,708, 33.42%, see rank | 19.64% | 20.41% |
6 Rooms | 1,178, 23.05%, see rank | 20.38% | 18.25% |
7 Rooms | 282, 5.52%, see rank | 14.49% | 12.38% |
8 Rooms | 205, 4.01%, see rank | 10.32% | 8.59% |
9 Rooms or More | 171, 3.35%, see rank | 12.15% | 10.52% |
Median Rooms | 5.10, see rank | 5.90 | 5.50 |
US Census 2000 data
| 45015 Zip Code | Ohio | U.S. |
Total Housing Units | 5,329, 100% | 4,783,051 | 115,904,641 |
1 Room | 32, 0.60%, see rank | 0.91% | 2.20% |
2 Rooms | 74, 1.39%, see rank | 2.39% | 4.81% |
3 Rooms | 450, 8.44%, see rank | 6.98% | 9.84% |
4 Rooms | 961, 18.03%, see rank | 13.73% | 15.97% |
5 Rooms | 1,866, 35.02%, see rank | 21.28% | 20.89% |
6 Rooms | 1,237, 23.21%, see rank | 20.97% | 18.45% |
7 Rooms | 351, 6.59%, see rank | 14.58% | 12.06% |
8 Rooms | 172, 3.23%, see rank | 10.04% | 8.06% |
9 Rooms or More | 186, 3.49%, see rank | 9.12% | 7.70% |
Median Rooms | 5.10, 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.