44509 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 44509 Zip Code | Ohio | U.S. |
Total Housing Units | 6,001, 100% | 5,135,173 | 132,741,033 |
1 Room | 147, 2.45%, see rank | 1.26% | 1.95% |
2 Rooms | 37, 0.62%, see rank | 1.48% | 2.48% |
3 Rooms | 214, 3.57%, see rank | 6.77% | 9.13% |
4 Rooms | 754, 12.56%, see rank | 13.78% | 16.60% |
5 Rooms | 1,774, 29.56%, see rank | 19.68% | 20.41% |
6 Rooms | 1,635, 27.25%, see rank | 20.19% | 18.06% |
7 Rooms | 771, 12.85%, see rank | 14.38% | 12.27% |
8 Rooms | 379, 6.32%, see rank | 10.23% | 8.48% |
9 Rooms or More | 290, 4.83%, see rank | 12.22% | 10.60% |
Median Rooms | 5.50, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 44509 Zip Code | Ohio | U.S. |
Total Housing Units | 5,848, 100% | 5,124,503 | 131,642,457 |
1 Room | 211, 3.61%, see rank | 1.24% | 1.95% |
2 Rooms | 43, 0.74%, see rank | 1.40% | 2.36% |
3 Rooms | 169, 2.89%, see rank | 6.70% | 8.97% |
4 Rooms | 770, 13.17%, see rank | 13.67% | 16.57% |
5 Rooms | 1,619, 27.68%, see rank | 19.64% | 20.41% |
6 Rooms | 1,685, 28.81%, see rank | 20.38% | 18.25% |
7 Rooms | 737, 12.60%, see rank | 14.49% | 12.38% |
8 Rooms | 426, 7.28%, see rank | 10.32% | 8.59% |
9 Rooms or More | 188, 3.21%, see rank | 12.15% | 10.52% |
Median Rooms | 5.60, see rank | 5.90 | 5.50 |
US Census 2000 data
| 44509 Zip Code | Ohio | U.S. |
Total Housing Units | 6,118, 100% | 4,783,051 | 115,904,641 |
1 Room | 172, 2.81%, see rank | 0.91% | 2.20% |
2 Rooms | 78, 1.27%, see rank | 2.39% | 4.81% |
3 Rooms | 203, 3.32%, see rank | 6.98% | 9.84% |
4 Rooms | 815, 13.32%, see rank | 13.73% | 15.97% |
5 Rooms | 1,817, 29.70%, see rank | 21.28% | 20.89% |
6 Rooms | 1,701, 27.80%, see rank | 20.97% | 18.45% |
7 Rooms | 924, 15.10%, see rank | 14.58% | 12.06% |
8 Rooms | 287, 4.69%, see rank | 10.04% | 8.06% |
9 Rooms or More | 121, 1.98%, see rank | 9.12% | 7.70% |
Median Rooms | 5.50, 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.