45690 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 45690 Zip Code | Ohio | U.S. |
Total Housing Units | 6,497, 100% | 5,135,173 | 132,741,033 |
1 Room | 55, 0.85%, see rank | 1.26% | 1.95% |
2 Rooms | 129, 1.99%, see rank | 1.48% | 2.48% |
3 Rooms | 175, 2.69%, see rank | 6.77% | 9.13% |
4 Rooms | 1,188, 18.29%, see rank | 13.78% | 16.60% |
5 Rooms | 1,769, 27.23%, see rank | 19.68% | 20.41% |
6 Rooms | 1,314, 20.22%, see rank | 20.19% | 18.06% |
7 Rooms | 890, 13.70%, see rank | 14.38% | 12.27% |
8 Rooms | 372, 5.73%, see rank | 10.23% | 8.48% |
9 Rooms or More | 605, 9.31%, see rank | 12.22% | 10.60% |
Median Rooms | 5.50, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 45690 Zip Code | Ohio | U.S. |
Total Housing Units | 6,759, 100% | 5,124,503 | 131,642,457 |
1 Room | 87, 1.29%, see rank | 1.24% | 1.95% |
2 Rooms | 58, 0.86%, see rank | 1.40% | 2.36% |
3 Rooms | 268, 3.97%, see rank | 6.70% | 8.97% |
4 Rooms | 1,295, 19.16%, see rank | 13.67% | 16.57% |
5 Rooms | 1,755, 25.97%, see rank | 19.64% | 20.41% |
6 Rooms | 1,352, 20.00%, see rank | 20.38% | 18.25% |
7 Rooms | 961, 14.22%, see rank | 14.49% | 12.38% |
8 Rooms | 421, 6.23%, see rank | 10.32% | 8.59% |
9 Rooms or More | 562, 8.31%, see rank | 12.15% | 10.52% |
Median Rooms | 5.50, see rank | 5.90 | 5.50 |
US Census 2000 data
| 45690 Zip Code | Ohio | U.S. |
Total Housing Units | 6,204, 100% | 4,783,051 | 115,904,641 |
1 Room | 86, 1.39%, see rank | 0.91% | 2.20% |
2 Rooms | 34, 0.55%, see rank | 2.39% | 4.81% |
3 Rooms | 317, 5.11%, see rank | 6.98% | 9.84% |
4 Rooms | 1,109, 17.88%, see rank | 13.73% | 15.97% |
5 Rooms | 1,966, 31.69%, see rank | 21.28% | 20.89% |
6 Rooms | 1,184, 19.08%, see rank | 20.97% | 18.45% |
7 Rooms | 841, 13.56%, see rank | 14.58% | 12.06% |
8 Rooms | 442, 7.12%, see rank | 10.04% | 8.06% |
9 Rooms or More | 225, 3.63%, see rank | 9.12% | 7.70% |
Median Rooms | 5.30, 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.