Bloom-Vernon Local School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Bloom-Vernon Local School District | Ohio | U.S. |
Total Housing Units | 2,226, 100% | 5,135,173 | 132,741,033 |
No Bedroom | 27, 1.21%, see rank | 1.39% | 2.17% |
1 Bedroom | 70, 3.14%, see rank | 9.42% | 11.16% |
2 Bedrooms | 632, 28.39%, see rank | 26.51% | 26.69% |
3 Bedrooms | 1,150, 51.66%, see rank | 42.46% | 39.70% |
4 Bedrooms | 277, 12.44%, see rank | 17.04% | 16.05% |
5 or More Bedrooms | 70, 3.14%, see rank | 3.18% | 4.22% |
ACS 2008-2012 data
| Bloom-Vernon Local School District | Ohio | U.S. |
Total Housing Units | 2,254, 100% | 5,124,503 | 131,642,457 |
No Bedroom | 26, 1.15%, see rank | 1.37% | 2.16% |
1 Bedroom | 104, 4.61%, see rank | 9.35% | 11.12% |
2 Bedrooms | 660, 29.28%, see rank | 26.51% | 26.85% |
3 Bedrooms | 1,182, 52.44%, see rank | 42.49% | 39.76% |
4 Bedrooms | 215, 9.54%, see rank | 17.10% | 15.95% |
5 or More Bedrooms | 67, 2.97%, see rank | 3.18% | 4.16% |
ACS 2006-2010 data
| Bloom-Vernon Local School District | Ohio | U.S. |
Total Housing Units | 2,220, 100% | 5,107,273 | 130,038,080 |
No Bedroom | 24, 1.08%, see rank | 1.10% | 1.84% |
1 Bedroom | 119, 5.36%, see rank | 9.57% | 11.32% |
2 Bedrooms | 604, 27.21%, see rank | 26.62% | 27.20% |
3 Bedrooms | 1,181, 53.20%, see rank | 42.62% | 39.80% |
4 Bedrooms | 252, 11.35%, see rank | 16.94% | 15.80% |
5 or More Bedrooms | 40, 1.80%, see rank | 3.15% | 4.04% |
ACS 2005-2009 data
| Bloom-Vernon Local School District | Ohio | U.S. |
Total Housing Units | 2,076, 100% | 5,064,437 | 127,699,712 |
No Bedroom | 23, 1.11%, see rank | 0.95% | 1.66% |
1 Bedroom | 116, 5.59%, see rank | 9.71% | 11.48% |
2 Bedrooms | 613, 29.53%, see rank | 26.73% | 27.48% |
3 Bedrooms | 1,047, 50.43%, see rank | 42.80% | 39.79% |
4 Bedrooms | 213, 10.26%, see rank | 16.73% | 15.64% |
5 or More Bedrooms | 64, 3.08%, 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.