Kennett Micro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Kennett Area | Missouri | U.S. |
| Total Housing Units | 14,364, 100% | 2,723,417 | 132,741,033 |
| No Bedroom | 73, 0.51%, see rank | 1.52% | 2.17% |
| 1 Bedroom | 1,057, 7.36%, see rank | 9.59% | 11.16% |
| 2 Bedrooms | 5,209, 36.26%, see rank | 27.72% | 26.69% |
| 3 Bedrooms | 6,501, 45.26%, see rank | 42.00% | 39.70% |
| 4 Bedrooms | 1,389, 9.67%, see rank | 15.22% | 16.05% |
| 5 or More Bedrooms | 135, 0.94%, see rank | 3.94% | 4.22% |
ACS 2008-2012 data
| | Kennett Area | Missouri | U.S. |
| Total Housing Units | 14,450, 100% | 2,710,506 | 131,642,457 |
| No Bedroom | 49, 0.34%, see rank | 1.50% | 2.16% |
| 1 Bedroom | 979, 6.78%, see rank | 9.61% | 11.12% |
| 2 Bedrooms | 5,361, 37.10%, see rank | 27.89% | 26.85% |
| 3 Bedrooms | 6,729, 46.57%, see rank | 41.94% | 39.76% |
| 4 Bedrooms | 1,208, 8.36%, see rank | 15.14% | 15.95% |
| 5 or More Bedrooms | 124, 0.86%, see rank | 3.90% | 4.16% |
ACS 2006-2010 data
| | Kennett Area | Missouri | U.S. |
| Total Housing Units | 14,568, 100% | 2,687,610 | 130,038,080 |
| No Bedroom | 50, 0.34%, see rank | 1.22% | 1.84% |
| 1 Bedroom | 913, 6.27%, see rank | 9.88% | 11.32% |
| 2 Bedrooms | 5,201, 35.70%, see rank | 28.17% | 27.20% |
| 3 Bedrooms | 6,899, 47.36%, see rank | 41.84% | 39.80% |
| 4 Bedrooms | 1,327, 9.11%, see rank | 15.10% | 15.80% |
| 5 or More Bedrooms | 178, 1.22%, see rank | 3.80% | 4.04% |
ACS 2005-2009 data
| | Kennett Area | Missouri | U.S. |
| Total Housing Units | 15,146, 100% | 2,648,248 | 127,699,712 |
| No Bedroom | 31, 0.20%, see rank | 1.08% | 1.66% |
| 1 Bedroom | 1,049, 6.93%, see rank | 9.92% | 11.48% |
| 2 Bedrooms | 5,201, 34.34%, see rank | 28.54% | 27.48% |
| 3 Bedrooms | 7,420, 48.99%, see rank | 41.88% | 39.79% |
| 4 Bedrooms | 1,226, 8.09%, see rank | 14.90% | 15.64% |
| 5 or More Bedrooms | 219, 1.45%, see rank | 3.69% | 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.
