Logan Elm Local School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Logan Elm Local School District | Ohio | U.S. |
Total Housing Units | 5,356, 100% | 5,135,173 | 132,741,033 |
No Bedroom | 57, 1.06%, see rank | 1.39% | 2.17% |
1 Bedroom | 258, 4.82%, see rank | 9.42% | 11.16% |
2 Bedrooms | 1,157, 21.60%, see rank | 26.51% | 26.69% |
3 Bedrooms | 2,960, 55.27%, see rank | 42.46% | 39.70% |
4 Bedrooms | 802, 14.97%, see rank | 17.04% | 16.05% |
5 or More Bedrooms | 122, 2.28%, see rank | 3.18% | 4.22% |
ACS 2008-2012 data
| Logan Elm Local School District | Ohio | U.S. |
Total Housing Units | 5,477, 100% | 5,124,503 | 131,642,457 |
No Bedroom | 35, 0.64%, see rank | 1.37% | 2.16% |
1 Bedroom | 264, 4.82%, see rank | 9.35% | 11.12% |
2 Bedrooms | 1,262, 23.04%, see rank | 26.51% | 26.85% |
3 Bedrooms | 2,825, 51.58%, see rank | 42.49% | 39.76% |
4 Bedrooms | 863, 15.76%, see rank | 17.10% | 15.95% |
5 or More Bedrooms | 228, 4.16%, see rank | 3.18% | 4.16% |
ACS 2006-2010 data
| Logan Elm Local School District | Ohio | U.S. |
Total Housing Units | 5,539, 100% | 5,107,273 | 130,038,080 |
No Bedroom | 33, 0.60%, see rank | 1.10% | 1.84% |
1 Bedroom | 222, 4.01%, see rank | 9.57% | 11.32% |
2 Bedrooms | 1,217, 21.97%, see rank | 26.62% | 27.20% |
3 Bedrooms | 3,182, 57.45%, see rank | 42.62% | 39.80% |
4 Bedrooms | 653, 11.79%, see rank | 16.94% | 15.80% |
5 or More Bedrooms | 232, 4.19%, see rank | 3.15% | 4.04% |
ACS 2005-2009 data
| Logan Elm Local School District | Ohio | U.S. |
Total Housing Units | 5,477, 100% | 5,064,437 | 127,699,712 |
No Bedroom | 36, 0.66%, see rank | 0.95% | 1.66% |
1 Bedroom | 161, 2.94%, see rank | 9.71% | 11.48% |
2 Bedrooms | 1,231, 22.48%, see rank | 26.73% | 27.48% |
3 Bedrooms | 3,127, 57.09%, see rank | 42.80% | 39.79% |
4 Bedrooms | 709, 12.95%, see rank | 16.73% | 15.64% |
5 or More Bedrooms | 213, 3.89%, 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.