45404 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 45404 Zip Code | Ohio | U.S. |
Total Housing Units | 5,051, 100% | 5,135,173 | 132,741,033 |
1 Room | 37, 0.73%, see rank | 1.26% | 1.95% |
2 Rooms | 115, 2.28%, see rank | 1.48% | 2.48% |
3 Rooms | 335, 6.63%, see rank | 6.77% | 9.13% |
4 Rooms | 1,001, 19.82%, see rank | 13.78% | 16.60% |
5 Rooms | 1,584, 31.36%, see rank | 19.68% | 20.41% |
6 Rooms | 1,074, 21.26%, see rank | 20.19% | 18.06% |
7 Rooms | 543, 10.75%, see rank | 14.38% | 12.27% |
8 Rooms | 196, 3.88%, see rank | 10.23% | 8.48% |
9 Rooms or More | 166, 3.29%, see rank | 12.22% | 10.60% |
Median Rooms | 5.20, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 45404 Zip Code | Ohio | U.S. |
Total Housing Units | 5,320, 100% | 5,124,503 | 131,642,457 |
1 Room | 121, 2.27%, see rank | 1.24% | 1.95% |
2 Rooms | 109, 2.05%, see rank | 1.40% | 2.36% |
3 Rooms | 325, 6.11%, see rank | 6.70% | 8.97% |
4 Rooms | 961, 18.06%, see rank | 13.67% | 16.57% |
5 Rooms | 1,723, 32.39%, see rank | 19.64% | 20.41% |
6 Rooms | 1,129, 21.22%, see rank | 20.38% | 18.25% |
7 Rooms | 489, 9.19%, see rank | 14.49% | 12.38% |
8 Rooms | 220, 4.14%, see rank | 10.32% | 8.59% |
9 Rooms or More | 243, 4.57%, see rank | 12.15% | 10.52% |
Median Rooms | 5.20, see rank | 5.90 | 5.50 |
US Census 2000 data
| 45404 Zip Code | Ohio | U.S. |
Total Housing Units | 5,945, 100% | 4,783,051 | 115,904,641 |
1 Room | 54, 0.91%, see rank | 0.91% | 2.20% |
2 Rooms | 139, 2.34%, see rank | 2.39% | 4.81% |
3 Rooms | 463, 7.79%, see rank | 6.98% | 9.84% |
4 Rooms | 1,330, 22.37%, see rank | 13.73% | 15.97% |
5 Rooms | 1,656, 27.86%, see rank | 21.28% | 20.89% |
6 Rooms | 1,390, 23.38%, see rank | 20.97% | 18.45% |
7 Rooms | 484, 8.14%, see rank | 14.58% | 12.06% |
8 Rooms | 270, 4.54%, see rank | 10.04% | 8.06% |
9 Rooms or More | 159, 2.67%, 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.