Pandora-Gilboa Local School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Pandora-Gilboa Local School District | Ohio | U.S. |
Total Housing Units | 1,292, 100% | 5,135,173 | 132,741,033 |
No Bedroom | 0, 0.00%, see rank | 1.39% | 2.17% |
1 Bedroom | 24, 1.86%, see rank | 9.42% | 11.16% |
2 Bedrooms | 263, 20.36%, see rank | 26.51% | 26.69% |
3 Bedrooms | 604, 46.75%, see rank | 42.46% | 39.70% |
4 Bedrooms | 340, 26.32%, see rank | 17.04% | 16.05% |
5 or More Bedrooms | 61, 4.72%, see rank | 3.18% | 4.22% |
ACS 2008-2012 data
| Pandora-Gilboa Local School District | Ohio | U.S. |
Total Housing Units | 1,323, 100% | 5,124,503 | 131,642,457 |
No Bedroom | 0, 0.00%, see rank | 1.37% | 2.16% |
1 Bedroom | 18, 1.36%, see rank | 9.35% | 11.12% |
2 Bedrooms | 236, 17.84%, see rank | 26.51% | 26.85% |
3 Bedrooms | 620, 46.86%, see rank | 42.49% | 39.76% |
4 Bedrooms | 373, 28.19%, see rank | 17.10% | 15.95% |
5 or More Bedrooms | 76, 5.74%, see rank | 3.18% | 4.16% |
ACS 2006-2010 data
| Pandora-Gilboa Local School District | Ohio | U.S. |
Total Housing Units | 1,342, 100% | 5,107,273 | 130,038,080 |
No Bedroom | 0, 0.00%, see rank | 1.10% | 1.84% |
1 Bedroom | 22, 1.64%, see rank | 9.57% | 11.32% |
2 Bedrooms | 199, 14.83%, see rank | 26.62% | 27.20% |
3 Bedrooms | 687, 51.19%, see rank | 42.62% | 39.80% |
4 Bedrooms | 332, 24.74%, see rank | 16.94% | 15.80% |
5 or More Bedrooms | 102, 7.60%, see rank | 3.15% | 4.04% |
ACS 2005-2009 data
| Pandora-Gilboa Local School District | Ohio | U.S. |
Total Housing Units | 1,390, 100% | 5,064,437 | 127,699,712 |
No Bedroom | 0, 0.00%, see rank | 0.95% | 1.66% |
1 Bedroom | 30, 2.16%, see rank | 9.71% | 11.48% |
2 Bedrooms | 217, 15.61%, see rank | 26.73% | 27.48% |
3 Bedrooms | 757, 54.46%, see rank | 42.80% | 39.79% |
4 Bedrooms | 302, 21.73%, see rank | 16.73% | 15.64% |
5 or More Bedrooms | 84, 6.04%, see rank | 3.09% | 3.94% |
* 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.