45067 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 45067 Zip Code | Ohio | U.S. |
Total Housing Units | 5,328, 100% | 5,135,173 | 132,741,033 |
1 Room | 12, 0.23%, see rank | 1.26% | 1.95% |
2 Rooms | 13, 0.24%, see rank | 1.48% | 2.48% |
3 Rooms | 122, 2.29%, see rank | 6.77% | 9.13% |
4 Rooms | 1,008, 18.92%, see rank | 13.78% | 16.60% |
5 Rooms | 1,384, 25.98%, see rank | 19.68% | 20.41% |
6 Rooms | 1,081, 20.29%, see rank | 20.19% | 18.06% |
7 Rooms | 924, 17.34%, see rank | 14.38% | 12.27% |
8 Rooms | 470, 8.82%, see rank | 10.23% | 8.48% |
9 Rooms or More | 314, 5.89%, see rank | 12.22% | 10.60% |
Median Rooms | 5.60, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 45067 Zip Code | Ohio | U.S. |
Total Housing Units | 5,211, 100% | 5,124,503 | 131,642,457 |
1 Room | 14, 0.27%, see rank | 1.24% | 1.95% |
2 Rooms | 15, 0.29%, see rank | 1.40% | 2.36% |
3 Rooms | 102, 1.96%, see rank | 6.70% | 8.97% |
4 Rooms | 802, 15.39%, see rank | 13.67% | 16.57% |
5 Rooms | 1,137, 21.82%, see rank | 19.64% | 20.41% |
6 Rooms | 1,222, 23.45%, see rank | 20.38% | 18.25% |
7 Rooms | 1,106, 21.22%, see rank | 14.49% | 12.38% |
8 Rooms | 545, 10.46%, see rank | 10.32% | 8.59% |
9 Rooms or More | 268, 5.14%, see rank | 12.15% | 10.52% |
Median Rooms | 5.90, see rank | 5.90 | 5.50 |
US Census 2000 data
| 45067 Zip Code | Ohio | U.S. |
Total Housing Units | 4,008, 100% | 4,783,051 | 115,904,641 |
1 Room | 7, 0.17%, see rank | 0.91% | 2.20% |
2 Rooms | 22, 0.55%, see rank | 2.39% | 4.81% |
3 Rooms | 90, 2.25%, see rank | 6.98% | 9.84% |
4 Rooms | 550, 13.72%, see rank | 13.73% | 15.97% |
5 Rooms | 1,179, 29.42%, see rank | 21.28% | 20.89% |
6 Rooms | 1,007, 25.12%, see rank | 20.97% | 18.45% |
7 Rooms | 654, 16.32%, see rank | 14.58% | 12.06% |
8 Rooms | 292, 7.29%, see rank | 10.04% | 8.06% |
9 Rooms or More | 207, 5.16%, 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.