Howland Local School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Howland Local School District | Ohio | U.S. |
Total Housing Units | 10,824, 100% | 5,135,173 | 132,741,033 |
No Bedroom | 180, 1.66%, see rank | 1.39% | 2.17% |
1 Bedroom | 890, 8.22%, see rank | 9.42% | 11.16% |
2 Bedrooms | 2,932, 27.09%, see rank | 26.51% | 26.69% |
3 Bedrooms | 4,562, 42.15%, see rank | 42.46% | 39.70% |
4 Bedrooms | 1,853, 17.12%, see rank | 17.04% | 16.05% |
5 or More Bedrooms | 407, 3.76%, see rank | 3.18% | 4.22% |
ACS 2008-2012 data
| Howland Local School District | Ohio | U.S. |
Total Housing Units | 10,922, 100% | 5,124,503 | 131,642,457 |
No Bedroom | 205, 1.88%, see rank | 1.37% | 2.16% |
1 Bedroom | 922, 8.44%, see rank | 9.35% | 11.12% |
2 Bedrooms | 2,798, 25.62%, see rank | 26.51% | 26.85% |
3 Bedrooms | 4,823, 44.16%, see rank | 42.49% | 39.76% |
4 Bedrooms | 1,834, 16.79%, see rank | 17.10% | 15.95% |
5 or More Bedrooms | 340, 3.11%, see rank | 3.18% | 4.16% |
ACS 2006-2010 data
| Howland Local School District | Ohio | U.S. |
Total Housing Units | 10,526, 100% | 5,107,273 | 130,038,080 |
No Bedroom | 158, 1.50%, see rank | 1.10% | 1.84% |
1 Bedroom | 1,074, 10.20%, see rank | 9.57% | 11.32% |
2 Bedrooms | 2,854, 27.11%, see rank | 26.62% | 27.20% |
3 Bedrooms | 4,321, 41.05%, see rank | 42.62% | 39.80% |
4 Bedrooms | 1,816, 17.25%, see rank | 16.94% | 15.80% |
5 or More Bedrooms | 303, 2.88%, see rank | 3.15% | 4.04% |
ACS 2005-2009 data
| Howland Local School District | Ohio | U.S. |
Total Housing Units | 9,922, 100% | 5,064,437 | 127,699,712 |
No Bedroom | 106, 1.07%, see rank | 0.95% | 1.66% |
1 Bedroom | 892, 8.99%, see rank | 9.71% | 11.48% |
2 Bedrooms | 2,708, 27.29%, see rank | 26.73% | 27.48% |
3 Bedrooms | 4,042, 40.74%, see rank | 42.80% | 39.79% |
4 Bedrooms | 1,867, 18.82%, see rank | 16.73% | 15.64% |
5 or More Bedrooms | 307, 3.09%, 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.