45885 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 45885 Zip Code | Ohio | U.S. |
Total Housing Units | 5,830, 100% | 5,135,173 | 132,741,033 |
1 Room | 59, 1.01%, see rank | 1.26% | 1.95% |
2 Rooms | 130, 2.23%, see rank | 1.48% | 2.48% |
3 Rooms | 343, 5.88%, see rank | 6.77% | 9.13% |
4 Rooms | 737, 12.64%, see rank | 13.78% | 16.60% |
5 Rooms | 1,083, 18.58%, see rank | 19.68% | 20.41% |
6 Rooms | 1,706, 29.26%, see rank | 20.19% | 18.06% |
7 Rooms | 706, 12.11%, see rank | 14.38% | 12.27% |
8 Rooms | 501, 8.59%, see rank | 10.23% | 8.48% |
9 Rooms or More | 565, 9.69%, see rank | 12.22% | 10.60% |
Median Rooms | 5.80, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 45885 Zip Code | Ohio | U.S. |
Total Housing Units | 5,731, 100% | 5,124,503 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.24% | 1.95% |
2 Rooms | 138, 2.41%, see rank | 1.40% | 2.36% |
3 Rooms | 430, 7.50%, see rank | 6.70% | 8.97% |
4 Rooms | 757, 13.21%, see rank | 13.67% | 16.57% |
5 Rooms | 980, 17.10%, see rank | 19.64% | 20.41% |
6 Rooms | 1,414, 24.67%, see rank | 20.38% | 18.25% |
7 Rooms | 882, 15.39%, see rank | 14.49% | 12.38% |
8 Rooms | 598, 10.43%, see rank | 10.32% | 8.59% |
9 Rooms or More | 532, 9.28%, see rank | 12.15% | 10.52% |
Median Rooms | 5.90, see rank | 5.90 | 5.50 |
US Census 2000 data
| 45885 Zip Code | Ohio | U.S. |
Total Housing Units | 5,482, 100% | 4,783,051 | 115,904,641 |
1 Room | 39, 0.71%, see rank | 0.91% | 2.20% |
2 Rooms | 151, 2.75%, see rank | 2.39% | 4.81% |
3 Rooms | 274, 5.00%, see rank | 6.98% | 9.84% |
4 Rooms | 661, 12.06%, see rank | 13.73% | 15.97% |
5 Rooms | 1,264, 23.06%, see rank | 21.28% | 20.89% |
6 Rooms | 1,271, 23.18%, see rank | 20.97% | 18.45% |
7 Rooms | 906, 16.53%, see rank | 14.58% | 12.06% |
8 Rooms | 456, 8.32%, see rank | 10.04% | 8.06% |
9 Rooms or More | 460, 8.39%, see rank | 9.12% | 7.70% |
Median Rooms | 5.80, 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.