Big Walnut Local School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Big Walnut Local School District | Ohio | U.S. |
Total Housing Units | 7,211, 100% | 5,135,173 | 132,741,033 |
No Bedroom | 26, 0.36%, see rank | 1.39% | 2.17% |
1 Bedroom | 143, 1.98%, see rank | 9.42% | 11.16% |
2 Bedrooms | 956, 13.26%, see rank | 26.51% | 26.69% |
3 Bedrooms | 3,727, 51.68%, see rank | 42.46% | 39.70% |
4 Bedrooms | 1,988, 27.57%, see rank | 17.04% | 16.05% |
5 or More Bedrooms | 371, 5.14%, see rank | 3.18% | 4.22% |
ACS 2008-2012 data
| Big Walnut Local School District | Ohio | U.S. |
Total Housing Units | 7,290, 100% | 5,124,503 | 131,642,457 |
No Bedroom | 32, 0.44%, see rank | 1.37% | 2.16% |
1 Bedroom | 178, 2.44%, see rank | 9.35% | 11.12% |
2 Bedrooms | 1,004, 13.77%, see rank | 26.51% | 26.85% |
3 Bedrooms | 3,825, 52.47%, see rank | 42.49% | 39.76% |
4 Bedrooms | 1,928, 26.45%, see rank | 17.10% | 15.95% |
5 or More Bedrooms | 323, 4.43%, see rank | 3.18% | 4.16% |
ACS 2006-2010 data
| Big Walnut Local School District | Ohio | U.S. |
Total Housing Units | 7,214, 100% | 5,107,273 | 130,038,080 |
No Bedroom | 0, 0.00%, see rank | 1.10% | 1.84% |
1 Bedroom | 201, 2.79%, see rank | 9.57% | 11.32% |
2 Bedrooms | 1,163, 16.12%, see rank | 26.62% | 27.20% |
3 Bedrooms | 3,713, 51.47%, see rank | 42.62% | 39.80% |
4 Bedrooms | 1,787, 24.77%, see rank | 16.94% | 15.80% |
5 or More Bedrooms | 350, 4.85%, see rank | 3.15% | 4.04% |
ACS 2005-2009 data
| Big Walnut Local School District | Ohio | U.S. |
Total Housing Units | 8,235, 100% | 5,064,437 | 127,699,712 |
No Bedroom | 0, 0.00%, see rank | 0.95% | 1.66% |
1 Bedroom | 162, 1.97%, see rank | 9.71% | 11.48% |
2 Bedrooms | 1,224, 14.86%, see rank | 26.73% | 27.48% |
3 Bedrooms | 4,396, 53.38%, see rank | 42.80% | 39.79% |
4 Bedrooms | 2,169, 26.34%, see rank | 16.73% | 15.64% |
5 or More Bedrooms | 284, 3.45%, 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.