Sedalia Micro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Sedalia Area | Missouri | U.S. |
| Total Housing Units | 18,222, 100% | 2,723,417 | 132,741,033 |
| No Bedroom | 193, 1.06%, see rank | 1.52% | 2.17% |
| 1 Bedroom | 1,582, 8.68%, see rank | 9.59% | 11.16% |
| 2 Bedrooms | 5,111, 28.05%, see rank | 27.72% | 26.69% |
| 3 Bedrooms | 8,060, 44.23%, see rank | 42.00% | 39.70% |
| 4 Bedrooms | 2,348, 12.89%, see rank | 15.22% | 16.05% |
| 5 or More Bedrooms | 928, 5.09%, see rank | 3.94% | 4.22% |
ACS 2008-2012 data
| | Sedalia Area | Missouri | U.S. |
| Total Housing Units | 18,216, 100% | 2,710,506 | 131,642,457 |
| No Bedroom | 90, 0.49%, see rank | 1.50% | 2.16% |
| 1 Bedroom | 1,680, 9.22%, see rank | 9.61% | 11.12% |
| 2 Bedrooms | 5,412, 29.71%, see rank | 27.89% | 26.85% |
| 3 Bedrooms | 7,908, 43.41%, see rank | 41.94% | 39.76% |
| 4 Bedrooms | 2,319, 12.73%, see rank | 15.14% | 15.95% |
| 5 or More Bedrooms | 807, 4.43%, see rank | 3.90% | 4.16% |
ACS 2006-2010 data
| | Sedalia Area | Missouri | U.S. |
| Total Housing Units | 18,093, 100% | 2,687,610 | 130,038,080 |
| No Bedroom | 121, 0.67%, see rank | 1.22% | 1.84% |
| 1 Bedroom | 1,396, 7.72%, see rank | 9.88% | 11.32% |
| 2 Bedrooms | 5,674, 31.36%, see rank | 28.17% | 27.20% |
| 3 Bedrooms | 7,916, 43.75%, see rank | 41.84% | 39.80% |
| 4 Bedrooms | 2,197, 12.14%, see rank | 15.10% | 15.80% |
| 5 or More Bedrooms | 789, 4.36%, see rank | 3.80% | 4.04% |
ACS 2005-2009 data
| | Sedalia Area | Missouri | U.S. |
| Total Housing Units | 17,418, 100% | 2,648,248 | 127,699,712 |
| No Bedroom | 89, 0.51%, see rank | 1.08% | 1.66% |
| 1 Bedroom | 1,236, 7.10%, see rank | 9.92% | 11.48% |
| 2 Bedrooms | 5,562, 31.93%, see rank | 28.54% | 27.48% |
| 3 Bedrooms | 7,771, 44.61%, see rank | 41.88% | 39.79% |
| 4 Bedrooms | 2,150, 12.34%, see rank | 14.90% | 15.64% |
| 5 or More Bedrooms | 610, 3.50%, 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.
