Sidney City School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Sidney City School District | Ohio | U.S. |
Total Housing Units | 11,220, 100% | 5,135,173 | 132,741,033 |
No Bedroom | 104, 0.93%, see rank | 1.39% | 2.17% |
1 Bedroom | 1,059, 9.44%, see rank | 9.42% | 11.16% |
2 Bedrooms | 3,292, 29.34%, see rank | 26.51% | 26.69% |
3 Bedrooms | 5,121, 45.64%, see rank | 42.46% | 39.70% |
4 Bedrooms | 1,460, 13.01%, see rank | 17.04% | 16.05% |
5 or More Bedrooms | 184, 1.64%, see rank | 3.18% | 4.22% |
ACS 2008-2012 data
| Sidney City School District | Ohio | U.S. |
Total Housing Units | 11,238, 100% | 5,124,503 | 131,642,457 |
No Bedroom | 73, 0.65%, see rank | 1.37% | 2.16% |
1 Bedroom | 1,007, 8.96%, see rank | 9.35% | 11.12% |
2 Bedrooms | 3,213, 28.59%, see rank | 26.51% | 26.85% |
3 Bedrooms | 5,291, 47.08%, see rank | 42.49% | 39.76% |
4 Bedrooms | 1,328, 11.82%, see rank | 17.10% | 15.95% |
5 or More Bedrooms | 326, 2.90%, see rank | 3.18% | 4.16% |
ACS 2006-2010 data
| Sidney City School District | Ohio | U.S. |
Total Housing Units | 10,982, 100% | 5,107,273 | 130,038,080 |
No Bedroom | 46, 0.42%, see rank | 1.10% | 1.84% |
1 Bedroom | 1,042, 9.49%, see rank | 9.57% | 11.32% |
2 Bedrooms | 3,142, 28.61%, see rank | 26.62% | 27.20% |
3 Bedrooms | 5,185, 47.21%, see rank | 42.62% | 39.80% |
4 Bedrooms | 1,263, 11.50%, see rank | 16.94% | 15.80% |
5 or More Bedrooms | 304, 2.77%, see rank | 3.15% | 4.04% |
ACS 2005-2009 data
| Sidney City School District | Ohio | U.S. |
Total Housing Units | 10,890, 100% | 5,064,437 | 127,699,712 |
No Bedroom | 23, 0.21%, see rank | 0.95% | 1.66% |
1 Bedroom | 1,027, 9.43%, see rank | 9.71% | 11.48% |
2 Bedrooms | 3,163, 29.04%, see rank | 26.73% | 27.48% |
3 Bedrooms | 5,008, 45.99%, see rank | 42.80% | 39.79% |
4 Bedrooms | 1,424, 13.08%, see rank | 16.73% | 15.64% |
5 or More Bedrooms | 245, 2.25%, 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.