45806 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 45806 Zip Code | Ohio | U.S. |
Total Housing Units | 4,874, 100% | 5,135,173 | 132,741,033 |
1 Room | 13, 0.27%, see rank | 1.26% | 1.95% |
2 Rooms | 83, 1.70%, see rank | 1.48% | 2.48% |
3 Rooms | 117, 2.40%, see rank | 6.77% | 9.13% |
4 Rooms | 437, 8.97%, see rank | 13.78% | 16.60% |
5 Rooms | 1,066, 21.87%, see rank | 19.68% | 20.41% |
6 Rooms | 1,191, 24.44%, see rank | 20.19% | 18.06% |
7 Rooms | 887, 18.20%, see rank | 14.38% | 12.27% |
8 Rooms | 483, 9.91%, see rank | 10.23% | 8.48% |
9 Rooms or More | 597, 12.25%, see rank | 12.22% | 10.60% |
Median Rooms | 6.10, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 45806 Zip Code | Ohio | U.S. |
Total Housing Units | 4,666, 100% | 5,124,503 | 131,642,457 |
1 Room | 22, 0.47%, see rank | 1.24% | 1.95% |
2 Rooms | 29, 0.62%, see rank | 1.40% | 2.36% |
3 Rooms | 132, 2.83%, see rank | 6.70% | 8.97% |
4 Rooms | 486, 10.42%, see rank | 13.67% | 16.57% |
5 Rooms | 987, 21.15%, see rank | 19.64% | 20.41% |
6 Rooms | 1,053, 22.57%, see rank | 20.38% | 18.25% |
7 Rooms | 909, 19.48%, see rank | 14.49% | 12.38% |
8 Rooms | 489, 10.48%, see rank | 10.32% | 8.59% |
9 Rooms or More | 559, 11.98%, see rank | 12.15% | 10.52% |
Median Rooms | 6.10, see rank | 5.90 | 5.50 |
US Census 2000 data
| 45806 Zip Code | Ohio | U.S. |
Total Housing Units | 4,329, 100% | 4,783,051 | 115,904,641 |
1 Room | 6, 0.14%, see rank | 0.91% | 2.20% |
2 Rooms | 63, 1.46%, see rank | 2.39% | 4.81% |
3 Rooms | 95, 2.19%, see rank | 6.98% | 9.84% |
4 Rooms | 439, 10.14%, see rank | 13.73% | 15.97% |
5 Rooms | 929, 21.46%, see rank | 21.28% | 20.89% |
6 Rooms | 1,202, 27.77%, see rank | 20.97% | 18.45% |
7 Rooms | 761, 17.58%, see rank | 14.58% | 12.06% |
8 Rooms | 458, 10.58%, see rank | 10.04% | 8.06% |
9 Rooms or More | 376, 8.69%, see rank | 9.12% | 7.70% |
Median Rooms | 6.00, 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.