44839 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 44839 Zip Code | Ohio | U.S. |
Total Housing Units | 6,510, 100% | 5,135,173 | 132,741,033 |
1 Room | 98, 1.51%, see rank | 1.26% | 1.95% |
2 Rooms | 64, 0.98%, see rank | 1.48% | 2.48% |
3 Rooms | 147, 2.26%, see rank | 6.77% | 9.13% |
4 Rooms | 936, 14.38%, see rank | 13.78% | 16.60% |
5 Rooms | 1,181, 18.14%, see rank | 19.68% | 20.41% |
6 Rooms | 1,320, 20.28%, see rank | 20.19% | 18.06% |
7 Rooms | 939, 14.42%, see rank | 14.38% | 12.27% |
8 Rooms | 806, 12.38%, see rank | 10.23% | 8.48% |
9 Rooms or More | 1,019, 15.65%, see rank | 12.22% | 10.60% |
Median Rooms | 6.10, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 44839 Zip Code | Ohio | U.S. |
Total Housing Units | 6,552, 100% | 5,124,503 | 131,642,457 |
1 Room | 71, 1.08%, see rank | 1.24% | 1.95% |
2 Rooms | 37, 0.56%, see rank | 1.40% | 2.36% |
3 Rooms | 196, 2.99%, see rank | 6.70% | 8.97% |
4 Rooms | 1,104, 16.85%, see rank | 13.67% | 16.57% |
5 Rooms | 1,293, 19.73%, see rank | 19.64% | 20.41% |
6 Rooms | 1,072, 16.36%, see rank | 20.38% | 18.25% |
7 Rooms | 1,039, 15.86%, see rank | 14.49% | 12.38% |
8 Rooms | 741, 11.31%, see rank | 10.32% | 8.59% |
9 Rooms or More | 999, 15.25%, see rank | 12.15% | 10.52% |
Median Rooms | 6.00, see rank | 5.90 | 5.50 |
US Census 2000 data
| 44839 Zip Code | Ohio | U.S. |
Total Housing Units | 5,948, 100% | 4,783,051 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 0.91% | 2.20% |
2 Rooms | 117, 1.97%, see rank | 2.39% | 4.81% |
3 Rooms | 325, 5.46%, see rank | 6.98% | 9.84% |
4 Rooms | 982, 16.51%, see rank | 13.73% | 15.97% |
5 Rooms | 1,199, 20.16%, see rank | 21.28% | 20.89% |
6 Rooms | 1,153, 19.38%, see rank | 20.97% | 18.45% |
7 Rooms | 762, 12.81%, see rank | 14.58% | 12.06% |
8 Rooms | 789, 13.26%, see rank | 10.04% | 8.06% |
9 Rooms or More | 621, 10.44%, 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.