Calhoun Micro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Calhoun Area | Georgia | U.S. |
| Total Housing Units | 22,241, 100% | 4,114,496 | 132,741,033 |
| No Bedroom | 631, 2.84%, see rank | 1.26% | 2.17% |
| 1 Bedroom | 1,242, 5.58%, see rank | 7.39% | 11.16% |
| 2 Bedrooms | 5,911, 26.58%, see rank | 23.13% | 26.69% |
| 3 Bedrooms | 10,518, 47.29%, see rank | 43.93% | 39.70% |
| 4 Bedrooms | 3,379, 15.19%, see rank | 18.08% | 16.05% |
| 5 or More Bedrooms | 560, 2.52%, see rank | 6.22% | 4.22% |
ACS 2008-2012 data
| | Calhoun Area | Georgia | U.S. |
| Total Housing Units | 22,206, 100% | 4,086,231 | 131,642,457 |
| No Bedroom | 614, 2.77%, see rank | 1.24% | 2.16% |
| 1 Bedroom | 1,688, 7.60%, see rank | 7.42% | 11.12% |
| 2 Bedrooms | 6,353, 28.61%, see rank | 23.32% | 26.85% |
| 3 Bedrooms | 9,919, 44.67%, see rank | 44.08% | 39.76% |
| 4 Bedrooms | 3,064, 13.80%, see rank | 17.90% | 15.95% |
| 5 or More Bedrooms | 568, 2.56%, see rank | 6.03% | 4.16% |
ACS 2006-2010 data
| | Calhoun Area | Georgia | U.S. |
| Total Housing Units | 21,813, 100% | 4,020,736 | 130,038,080 |
| No Bedroom | 367, 1.68%, see rank | 0.96% | 1.84% |
| 1 Bedroom | 1,901, 8.71%, see rank | 7.70% | 11.32% |
| 2 Bedrooms | 6,330, 29.02%, see rank | 23.81% | 27.20% |
| 3 Bedrooms | 9,976, 45.73%, see rank | 44.22% | 39.80% |
| 4 Bedrooms | 2,660, 12.19%, see rank | 17.59% | 15.80% |
| 5 or More Bedrooms | 579, 2.65%, see rank | 5.72% | 4.04% |
ACS 2005-2009 data
| | Calhoun Area | Georgia | U.S. |
| Total Housing Units | 20,804, 100% | 3,944,621 | 127,699,712 |
| No Bedroom | 113, 0.54%, see rank | 0.80% | 1.66% |
| 1 Bedroom | 2,174, 10.45%, see rank | 7.73% | 11.48% |
| 2 Bedrooms | 5,929, 28.50%, see rank | 24.35% | 27.48% |
| 3 Bedrooms | 9,680, 46.53%, see rank | 44.28% | 39.79% |
| 4 Bedrooms | 2,368, 11.38%, see rank | 17.44% | 15.64% |
| 5 or More Bedrooms | 540, 2.60%, see rank | 5.41% | 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.
