44890 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 44890 Zip Code | Ohio | U.S. |
Total Housing Units | 4,692, 100% | 5,135,173 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.26% | 1.95% |
2 Rooms | 29, 0.62%, see rank | 1.48% | 2.48% |
3 Rooms | 290, 6.18%, see rank | 6.77% | 9.13% |
4 Rooms | 652, 13.90%, see rank | 13.78% | 16.60% |
5 Rooms | 821, 17.50%, see rank | 19.68% | 20.41% |
6 Rooms | 1,004, 21.40%, see rank | 20.19% | 18.06% |
7 Rooms | 939, 20.01%, see rank | 14.38% | 12.27% |
8 Rooms | 460, 9.80%, see rank | 10.23% | 8.48% |
9 Rooms or More | 497, 10.59%, see rank | 12.22% | 10.60% |
Median Rooms | 6.10, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 44890 Zip Code | Ohio | U.S. |
Total Housing Units | 4,856, 100% | 5,124,503 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.24% | 1.95% |
2 Rooms | 32, 0.66%, see rank | 1.40% | 2.36% |
3 Rooms | 363, 7.48%, see rank | 6.70% | 8.97% |
4 Rooms | 692, 14.25%, see rank | 13.67% | 16.57% |
5 Rooms | 802, 16.52%, see rank | 19.64% | 20.41% |
6 Rooms | 911, 18.76%, see rank | 20.38% | 18.25% |
7 Rooms | 1,028, 21.17%, see rank | 14.49% | 12.38% |
8 Rooms | 501, 10.32%, see rank | 10.32% | 8.59% |
9 Rooms or More | 527, 10.85%, see rank | 12.15% | 10.52% |
Median Rooms | 6.10, see rank | 5.90 | 5.50 |
US Census 2000 data
| 44890 Zip Code | Ohio | U.S. |
Total Housing Units | 4,760, 100% | 4,783,051 | 115,904,641 |
1 Room | 33, 0.69%, see rank | 0.91% | 2.20% |
2 Rooms | 138, 2.90%, see rank | 2.39% | 4.81% |
3 Rooms | 308, 6.47%, see rank | 6.98% | 9.84% |
4 Rooms | 704, 14.79%, see rank | 13.73% | 15.97% |
5 Rooms | 888, 18.66%, see rank | 21.28% | 20.89% |
6 Rooms | 1,071, 22.50%, see rank | 20.97% | 18.45% |
7 Rooms | 614, 12.90%, see rank | 14.58% | 12.06% |
8 Rooms | 576, 12.10%, see rank | 10.04% | 8.06% |
9 Rooms or More | 428, 8.99%, 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.