Ashland Micro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Ashland Area | Ohio | U.S. |
| Total Housing Units | 22,112, 100% | 5,135,173 | 132,741,033 |
| No Bedroom | 167, 0.76%, see rank | 1.39% | 2.17% |
| 1 Bedroom | 1,536, 6.95%, see rank | 9.42% | 11.16% |
| 2 Bedrooms | 5,934, 26.84%, see rank | 26.51% | 26.69% |
| 3 Bedrooms | 10,140, 45.86%, see rank | 42.46% | 39.70% |
| 4 Bedrooms | 3,214, 14.54%, see rank | 17.04% | 16.05% |
| 5 or More Bedrooms | 1,121, 5.07%, see rank | 3.18% | 4.22% |
ACS 2008-2012 data
| | Ashland Area | Ohio | U.S. |
| Total Housing Units | 22,128, 100% | 5,124,503 | 131,642,457 |
| No Bedroom | 241, 1.09%, see rank | 1.37% | 2.16% |
| 1 Bedroom | 1,390, 6.28%, see rank | 9.35% | 11.12% |
| 2 Bedrooms | 5,506, 24.88%, see rank | 26.51% | 26.85% |
| 3 Bedrooms | 10,483, 47.37%, see rank | 42.49% | 39.76% |
| 4 Bedrooms | 3,516, 15.89%, see rank | 17.10% | 15.95% |
| 5 or More Bedrooms | 992, 4.48%, see rank | 3.18% | 4.16% |
ACS 2006-2010 data
| | Ashland Area | Ohio | U.S. |
| Total Housing Units | 22,100, 100% | 5,107,273 | 130,038,080 |
| No Bedroom | 164, 0.74%, see rank | 1.10% | 1.84% |
| 1 Bedroom | 1,229, 5.56%, see rank | 9.57% | 11.32% |
| 2 Bedrooms | 5,561, 25.16%, see rank | 26.62% | 27.20% |
| 3 Bedrooms | 10,895, 49.30%, see rank | 42.62% | 39.80% |
| 4 Bedrooms | 3,329, 15.06%, see rank | 16.94% | 15.80% |
| 5 or More Bedrooms | 922, 4.17%, see rank | 3.15% | 4.04% |
ACS 2005-2009 data
| | Ashland Area | Ohio | U.S. |
| Total Housing Units | 21,974, 100% | 5,064,437 | 127,699,712 |
| No Bedroom | 124, 0.56%, see rank | 0.95% | 1.66% |
| 1 Bedroom | 1,296, 5.90%, see rank | 9.71% | 11.48% |
| 2 Bedrooms | 5,573, 25.36%, see rank | 26.73% | 27.48% |
| 3 Bedrooms | 10,576, 48.13%, see rank | 42.80% | 39.79% |
| 4 Bedrooms | 3,524, 16.04%, see rank | 16.73% | 15.64% |
| 5 or More Bedrooms | 881, 4.01%, 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.
