Rolla Micro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Rolla Area | Missouri | U.S. |
| Total Housing Units | 19,662, 100% | 2,723,417 | 132,741,033 |
| No Bedroom | 459, 2.33%, see rank | 1.52% | 2.17% |
| 1 Bedroom | 1,678, 8.53%, see rank | 9.59% | 11.16% |
| 2 Bedrooms | 5,971, 30.37%, see rank | 27.72% | 26.69% |
| 3 Bedrooms | 7,659, 38.95%, see rank | 42.00% | 39.70% |
| 4 Bedrooms | 2,906, 14.78%, see rank | 15.22% | 16.05% |
| 5 or More Bedrooms | 989, 5.03%, see rank | 3.94% | 4.22% |
ACS 2008-2012 data
| | Rolla Area | Missouri | U.S. |
| Total Housing Units | 19,562, 100% | 2,710,506 | 131,642,457 |
| No Bedroom | 449, 2.30%, see rank | 1.50% | 2.16% |
| 1 Bedroom | 1,731, 8.85%, see rank | 9.61% | 11.12% |
| 2 Bedrooms | 5,742, 29.35%, see rank | 27.89% | 26.85% |
| 3 Bedrooms | 8,184, 41.84%, see rank | 41.94% | 39.76% |
| 4 Bedrooms | 2,665, 13.62%, see rank | 15.14% | 15.95% |
| 5 or More Bedrooms | 791, 4.04%, see rank | 3.90% | 4.16% |
ACS 2006-2010 data
| | Rolla Area | Missouri | U.S. |
| Total Housing Units | 19,337, 100% | 2,687,610 | 130,038,080 |
| No Bedroom | 452, 2.34%, see rank | 1.22% | 1.84% |
| 1 Bedroom | 1,412, 7.30%, see rank | 9.88% | 11.32% |
| 2 Bedrooms | 5,536, 28.63%, see rank | 28.17% | 27.20% |
| 3 Bedrooms | 8,494, 43.93%, see rank | 41.84% | 39.80% |
| 4 Bedrooms | 2,673, 13.82%, see rank | 15.10% | 15.80% |
| 5 or More Bedrooms | 770, 3.98%, see rank | 3.80% | 4.04% |
ACS 2005-2009 data
| | Rolla Area | Missouri | U.S. |
| Total Housing Units | 19,137, 100% | 2,648,248 | 127,699,712 |
| No Bedroom | 385, 2.01%, see rank | 1.08% | 1.66% |
| 1 Bedroom | 1,467, 7.67%, see rank | 9.92% | 11.48% |
| 2 Bedrooms | 5,876, 30.70%, see rank | 28.54% | 27.48% |
| 3 Bedrooms | 8,362, 43.70%, see rank | 41.88% | 39.79% |
| 4 Bedrooms | 2,408, 12.58%, see rank | 14.90% | 15.64% |
| 5 or More Bedrooms | 639, 3.34%, 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.
