45106 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 45106 Zip Code | Ohio | U.S. |
Total Housing Units | 4,951, 100% | 5,135,173 | 132,741,033 |
1 Room | 39, 0.79%, see rank | 1.26% | 1.95% |
2 Rooms | 11, 0.22%, see rank | 1.48% | 2.48% |
3 Rooms | 178, 3.60%, see rank | 6.77% | 9.13% |
4 Rooms | 564, 11.39%, see rank | 13.78% | 16.60% |
5 Rooms | 1,181, 23.85%, see rank | 19.68% | 20.41% |
6 Rooms | 1,259, 25.43%, see rank | 20.19% | 18.06% |
7 Rooms | 857, 17.31%, see rank | 14.38% | 12.27% |
8 Rooms | 258, 5.21%, see rank | 10.23% | 8.48% |
9 Rooms or More | 604, 12.20%, see rank | 12.22% | 10.60% |
Median Rooms | 5.90, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 45106 Zip Code | Ohio | U.S. |
Total Housing Units | 4,983, 100% | 5,124,503 | 131,642,457 |
1 Room | 43, 0.86%, see rank | 1.24% | 1.95% |
2 Rooms | 6, 0.12%, see rank | 1.40% | 2.36% |
3 Rooms | 205, 4.11%, see rank | 6.70% | 8.97% |
4 Rooms | 636, 12.76%, see rank | 13.67% | 16.57% |
5 Rooms | 1,200, 24.08%, see rank | 19.64% | 20.41% |
6 Rooms | 1,129, 22.66%, see rank | 20.38% | 18.25% |
7 Rooms | 977, 19.61%, see rank | 14.49% | 12.38% |
8 Rooms | 276, 5.54%, see rank | 10.32% | 8.59% |
9 Rooms or More | 511, 10.25%, see rank | 12.15% | 10.52% |
Median Rooms | 5.90, see rank | 5.90 | 5.50 |
US Census 2000 data
| 45106 Zip Code | Ohio | U.S. |
Total Housing Units | 4,438, 100% | 4,783,051 | 115,904,641 |
1 Room | 57, 1.28%, see rank | 0.91% | 2.20% |
2 Rooms | 49, 1.10%, see rank | 2.39% | 4.81% |
3 Rooms | 160, 3.61%, see rank | 6.98% | 9.84% |
4 Rooms | 428, 9.64%, see rank | 13.73% | 15.97% |
5 Rooms | 1,089, 24.54%, see rank | 21.28% | 20.89% |
6 Rooms | 1,228, 27.67%, see rank | 20.97% | 18.45% |
7 Rooms | 739, 16.65%, see rank | 14.58% | 12.06% |
8 Rooms | 424, 9.55%, see rank | 10.04% | 8.06% |
9 Rooms or More | 264, 5.95%, see rank | 9.12% | 7.70% |
Median Rooms | 5.90, 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.