45405 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 45405 Zip Code | Ohio | U.S. |
Total Housing Units | 12,075, 100% | 5,135,173 | 132,741,033 |
1 Room | 168, 1.39%, see rank | 1.26% | 1.95% |
2 Rooms | 220, 1.82%, see rank | 1.48% | 2.48% |
3 Rooms | 2,331, 19.30%, see rank | 6.77% | 9.13% |
4 Rooms | 1,826, 15.12%, see rank | 13.78% | 16.60% |
5 Rooms | 2,254, 18.67%, see rank | 19.68% | 20.41% |
6 Rooms | 2,787, 23.08%, see rank | 20.19% | 18.06% |
7 Rooms | 1,358, 11.25%, see rank | 14.38% | 12.27% |
8 Rooms | 537, 4.45%, see rank | 10.23% | 8.48% |
9 Rooms or More | 594, 4.92%, see rank | 12.22% | 10.60% |
Median Rooms | 5.20, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 45405 Zip Code | Ohio | U.S. |
Total Housing Units | 12,148, 100% | 5,124,503 | 131,642,457 |
1 Room | 255, 2.10%, see rank | 1.24% | 1.95% |
2 Rooms | 173, 1.42%, see rank | 1.40% | 2.36% |
3 Rooms | 2,270, 18.69%, see rank | 6.70% | 8.97% |
4 Rooms | 1,842, 15.16%, see rank | 13.67% | 16.57% |
5 Rooms | 2,254, 18.55%, see rank | 19.64% | 20.41% |
6 Rooms | 2,693, 22.17%, see rank | 20.38% | 18.25% |
7 Rooms | 1,445, 11.89%, see rank | 14.49% | 12.38% |
8 Rooms | 597, 4.91%, see rank | 10.32% | 8.59% |
9 Rooms or More | 619, 5.10%, see rank | 12.15% | 10.52% |
Median Rooms | 5.20, see rank | 5.90 | 5.50 |
US Census 2000 data
| 45405 Zip Code | Ohio | U.S. |
Total Housing Units | 12,167, 100% | 4,783,051 | 115,904,641 |
1 Room | 228, 1.87%, see rank | 0.91% | 2.20% |
2 Rooms | 501, 4.12%, see rank | 2.39% | 4.81% |
3 Rooms | 1,964, 16.14%, see rank | 6.98% | 9.84% |
4 Rooms | 2,225, 18.29%, see rank | 13.73% | 15.97% |
5 Rooms | 2,068, 17.00%, see rank | 21.28% | 20.89% |
6 Rooms | 2,313, 19.01%, see rank | 20.97% | 18.45% |
7 Rooms | 1,499, 12.32%, see rank | 14.58% | 12.06% |
8 Rooms | 725, 5.96%, see rank | 10.04% | 8.06% |
9 Rooms or More | 644, 5.29%, 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.