44405 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 44405 Zip Code | Ohio | U.S. |
Total Housing Units | 3,926, 100% | 5,135,173 | 132,741,033 |
1 Room | 28, 0.71%, see rank | 1.26% | 1.95% |
2 Rooms | 16, 0.41%, see rank | 1.48% | 2.48% |
3 Rooms | 199, 5.07%, see rank | 6.77% | 9.13% |
4 Rooms | 633, 16.12%, see rank | 13.78% | 16.60% |
5 Rooms | 1,070, 27.25%, see rank | 19.68% | 20.41% |
6 Rooms | 867, 22.08%, see rank | 20.19% | 18.06% |
7 Rooms | 527, 13.42%, see rank | 14.38% | 12.27% |
8 Rooms | 406, 10.34%, see rank | 10.23% | 8.48% |
9 Rooms or More | 180, 4.58%, see rank | 12.22% | 10.60% |
Median Rooms | 5.50, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 44405 Zip Code | Ohio | U.S. |
Total Housing Units | 4,011, 100% | 5,124,503 | 131,642,457 |
1 Room | 35, 0.87%, see rank | 1.24% | 1.95% |
2 Rooms | 55, 1.37%, see rank | 1.40% | 2.36% |
3 Rooms | 181, 4.51%, see rank | 6.70% | 8.97% |
4 Rooms | 519, 12.94%, see rank | 13.67% | 16.57% |
5 Rooms | 1,060, 26.43%, see rank | 19.64% | 20.41% |
6 Rooms | 1,075, 26.80%, see rank | 20.38% | 18.25% |
7 Rooms | 492, 12.27%, see rank | 14.49% | 12.38% |
8 Rooms | 362, 9.03%, see rank | 10.32% | 8.59% |
9 Rooms or More | 232, 5.78%, see rank | 12.15% | 10.52% |
Median Rooms | 5.60, see rank | 5.90 | 5.50 |
US Census 2000 data
| 44405 Zip Code | Ohio | U.S. |
Total Housing Units | 4,074, 100% | 4,783,051 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 0.91% | 2.20% |
2 Rooms | 52, 1.28%, see rank | 2.39% | 4.81% |
3 Rooms | 261, 6.41%, see rank | 6.98% | 9.84% |
4 Rooms | 521, 12.79%, see rank | 13.73% | 15.97% |
5 Rooms | 1,334, 32.74%, see rank | 21.28% | 20.89% |
6 Rooms | 1,052, 25.82%, see rank | 20.97% | 18.45% |
7 Rooms | 445, 10.92%, see rank | 14.58% | 12.06% |
8 Rooms | 240, 5.89%, see rank | 10.04% | 8.06% |
9 Rooms or More | 169, 4.15%, see rank | 9.12% | 7.70% |
Median Rooms | 5.40, 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.