45320 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 45320 Zip Code | Ohio | U.S. |
Total Housing Units | 6,534, 100% | 5,135,173 | 132,741,033 |
1 Room | 75, 1.15%, see rank | 1.26% | 1.95% |
2 Rooms | 61, 0.93%, see rank | 1.48% | 2.48% |
3 Rooms | 334, 5.11%, see rank | 6.77% | 9.13% |
4 Rooms | 704, 10.77%, see rank | 13.78% | 16.60% |
5 Rooms | 1,543, 23.61%, see rank | 19.68% | 20.41% |
6 Rooms | 1,589, 24.32%, see rank | 20.19% | 18.06% |
7 Rooms | 1,072, 16.41%, see rank | 14.38% | 12.27% |
8 Rooms | 416, 6.37%, see rank | 10.23% | 8.48% |
9 Rooms or More | 740, 11.33%, see rank | 12.22% | 10.60% |
Median Rooms | 5.80, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 45320 Zip Code | Ohio | U.S. |
Total Housing Units | 6,644, 100% | 5,124,503 | 131,642,457 |
1 Room | 29, 0.44%, see rank | 1.24% | 1.95% |
2 Rooms | 113, 1.70%, see rank | 1.40% | 2.36% |
3 Rooms | 247, 3.72%, see rank | 6.70% | 8.97% |
4 Rooms | 749, 11.27%, see rank | 13.67% | 16.57% |
5 Rooms | 1,744, 26.25%, see rank | 19.64% | 20.41% |
6 Rooms | 1,581, 23.80%, see rank | 20.38% | 18.25% |
7 Rooms | 913, 13.74%, see rank | 14.49% | 12.38% |
8 Rooms | 503, 7.57%, see rank | 10.32% | 8.59% |
9 Rooms or More | 765, 11.51%, see rank | 12.15% | 10.52% |
Median Rooms | 5.80, see rank | 5.90 | 5.50 |
US Census 2000 data
| 45320 Zip Code | Ohio | U.S. |
Total Housing Units | 6,161, 100% | 4,783,051 | 115,904,641 |
1 Room | 28, 0.45%, see rank | 0.91% | 2.20% |
2 Rooms | 47, 0.76%, see rank | 2.39% | 4.81% |
3 Rooms | 273, 4.43%, see rank | 6.98% | 9.84% |
4 Rooms | 674, 10.94%, see rank | 13.73% | 15.97% |
5 Rooms | 1,699, 27.58%, see rank | 21.28% | 20.89% |
6 Rooms | 1,468, 23.83%, see rank | 20.97% | 18.45% |
7 Rooms | 811, 13.16%, see rank | 14.58% | 12.06% |
8 Rooms | 519, 8.42%, see rank | 10.04% | 8.06% |
9 Rooms or More | 642, 10.42%, see rank | 9.12% | 7.70% |
Median Rooms | 5.70, 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.