45714 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 45714 Zip Code | Ohio | U.S. |
Total Housing Units | 4,483, 100% | 5,135,173 | 132,741,033 |
1 Room | 13, 0.29%, see rank | 1.26% | 1.95% |
2 Rooms | 39, 0.87%, see rank | 1.48% | 2.48% |
3 Rooms | 384, 8.57%, see rank | 6.77% | 9.13% |
4 Rooms | 727, 16.22%, see rank | 13.78% | 16.60% |
5 Rooms | 938, 20.92%, see rank | 19.68% | 20.41% |
6 Rooms | 853, 19.03%, see rank | 20.19% | 18.06% |
7 Rooms | 473, 10.55%, see rank | 14.38% | 12.27% |
8 Rooms | 482, 10.75%, see rank | 10.23% | 8.48% |
9 Rooms or More | 574, 12.80%, see rank | 12.22% | 10.60% |
Median Rooms | 5.70, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 45714 Zip Code | Ohio | U.S. |
Total Housing Units | 4,864, 100% | 5,124,503 | 131,642,457 |
1 Room | 24, 0.49%, see rank | 1.24% | 1.95% |
2 Rooms | 55, 1.13%, see rank | 1.40% | 2.36% |
3 Rooms | 324, 6.66%, see rank | 6.70% | 8.97% |
4 Rooms | 704, 14.47%, see rank | 13.67% | 16.57% |
5 Rooms | 1,082, 22.25%, see rank | 19.64% | 20.41% |
6 Rooms | 1,052, 21.63%, see rank | 20.38% | 18.25% |
7 Rooms | 666, 13.69%, see rank | 14.49% | 12.38% |
8 Rooms | 382, 7.85%, see rank | 10.32% | 8.59% |
9 Rooms or More | 575, 11.82%, see rank | 12.15% | 10.52% |
Median Rooms | 5.70, see rank | 5.90 | 5.50 |
US Census 2000 data
| 45714 Zip Code | Ohio | U.S. |
Total Housing Units | 4,751, 100% | 4,783,051 | 115,904,641 |
1 Room | 40, 0.84%, see rank | 0.91% | 2.20% |
2 Rooms | 105, 2.21%, see rank | 2.39% | 4.81% |
3 Rooms | 215, 4.53%, see rank | 6.98% | 9.84% |
4 Rooms | 821, 17.28%, see rank | 13.73% | 15.97% |
5 Rooms | 1,286, 27.07%, see rank | 21.28% | 20.89% |
6 Rooms | 800, 16.84%, see rank | 20.97% | 18.45% |
7 Rooms | 669, 14.08%, see rank | 14.58% | 12.06% |
8 Rooms | 487, 10.25%, see rank | 10.04% | 8.06% |
9 Rooms or More | 328, 6.90%, see rank | 9.12% | 7.70% |
Median Rooms | 5.40, 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.