Wilmington Micro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Wilmington Area | Ohio | U.S. |
| Total Housing Units | 18,075, 100% | 5,135,173 | 132,741,033 |
| No Bedroom | 239, 1.32%, see rank | 1.39% | 2.17% |
| 1 Bedroom | 1,100, 6.09%, see rank | 9.42% | 11.16% |
| 2 Bedrooms | 5,292, 29.28%, see rank | 26.51% | 26.69% |
| 3 Bedrooms | 8,570, 47.41%, see rank | 42.46% | 39.70% |
| 4 Bedrooms | 2,334, 12.91%, see rank | 17.04% | 16.05% |
| 5 or More Bedrooms | 540, 2.99%, see rank | 3.18% | 4.22% |
ACS 2008-2012 data
| | Wilmington Area | Ohio | U.S. |
| Total Housing Units | 18,130, 100% | 5,124,503 | 131,642,457 |
| No Bedroom | 279, 1.54%, see rank | 1.37% | 2.16% |
| 1 Bedroom | 1,241, 6.85%, see rank | 9.35% | 11.12% |
| 2 Bedrooms | 4,988, 27.51%, see rank | 26.51% | 26.85% |
| 3 Bedrooms | 9,001, 49.65%, see rank | 42.49% | 39.76% |
| 4 Bedrooms | 2,146, 11.84%, see rank | 17.10% | 15.95% |
| 5 or More Bedrooms | 475, 2.62%, see rank | 3.18% | 4.16% |
ACS 2006-2010 data
| | Wilmington Area | Ohio | U.S. |
| Total Housing Units | 18,090, 100% | 5,107,273 | 130,038,080 |
| No Bedroom | 295, 1.63%, see rank | 1.10% | 1.84% |
| 1 Bedroom | 1,109, 6.13%, see rank | 9.57% | 11.32% |
| 2 Bedrooms | 4,927, 27.24%, see rank | 26.62% | 27.20% |
| 3 Bedrooms | 8,985, 49.67%, see rank | 42.62% | 39.80% |
| 4 Bedrooms | 2,270, 12.55%, see rank | 16.94% | 15.80% |
| 5 or More Bedrooms | 504, 2.79%, see rank | 3.15% | 4.04% |
ACS 2005-2009 data
| | Wilmington Area | Ohio | U.S. |
| Total Housing Units | 18,023, 100% | 5,064,437 | 127,699,712 |
| No Bedroom | 204, 1.13%, see rank | 0.95% | 1.66% |
| 1 Bedroom | 1,327, 7.36%, see rank | 9.71% | 11.48% |
| 2 Bedrooms | 4,614, 25.60%, see rank | 26.73% | 27.48% |
| 3 Bedrooms | 9,070, 50.32%, see rank | 42.80% | 39.79% |
| 4 Bedrooms | 2,321, 12.88%, see rank | 16.73% | 15.64% |
| 5 or More Bedrooms | 487, 2.70%, 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.
