Moultrie Micro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Moultrie Area | Georgia | U.S. |
| Total Housing Units | 18,308, 100% | 4,114,496 | 132,741,033 |
| No Bedroom | 157, 0.86%, see rank | 1.26% | 2.17% |
| 1 Bedroom | 1,388, 7.58%, see rank | 7.39% | 11.16% |
| 2 Bedrooms | 4,875, 26.63%, see rank | 23.13% | 26.69% |
| 3 Bedrooms | 9,113, 49.78%, see rank | 43.93% | 39.70% |
| 4 Bedrooms | 2,300, 12.56%, see rank | 18.08% | 16.05% |
| 5 or More Bedrooms | 475, 2.59%, see rank | 6.22% | 4.22% |
ACS 2008-2012 data
| | Moultrie Area | Georgia | U.S. |
| Total Housing Units | 18,300, 100% | 4,086,231 | 131,642,457 |
| No Bedroom | 147, 0.80%, see rank | 1.24% | 2.16% |
| 1 Bedroom | 1,175, 6.42%, see rank | 7.42% | 11.12% |
| 2 Bedrooms | 4,988, 27.26%, see rank | 23.32% | 26.85% |
| 3 Bedrooms | 8,914, 48.71%, see rank | 44.08% | 39.76% |
| 4 Bedrooms | 2,567, 14.03%, see rank | 17.90% | 15.95% |
| 5 or More Bedrooms | 509, 2.78%, see rank | 6.03% | 4.16% |
ACS 2006-2010 data
| | Moultrie Area | Georgia | U.S. |
| Total Housing Units | 18,204, 100% | 4,020,736 | 130,038,080 |
| No Bedroom | 76, 0.42%, see rank | 0.96% | 1.84% |
| 1 Bedroom | 948, 5.21%, see rank | 7.70% | 11.32% |
| 2 Bedrooms | 5,150, 28.29%, see rank | 23.81% | 27.20% |
| 3 Bedrooms | 9,373, 51.49%, see rank | 44.22% | 39.80% |
| 4 Bedrooms | 2,234, 12.27%, see rank | 17.59% | 15.80% |
| 5 or More Bedrooms | 423, 2.32%, see rank | 5.72% | 4.04% |
ACS 2005-2009 data
| | Moultrie Area | Georgia | U.S. |
| Total Housing Units | 18,414, 100% | 3,944,621 | 127,699,712 |
| No Bedroom | 57, 0.31%, see rank | 0.80% | 1.66% |
| 1 Bedroom | 845, 4.59%, see rank | 7.73% | 11.48% |
| 2 Bedrooms | 5,095, 27.67%, see rank | 24.35% | 27.48% |
| 3 Bedrooms | 9,662, 52.47%, see rank | 44.28% | 39.79% |
| 4 Bedrooms | 2,304, 12.51%, see rank | 17.44% | 15.64% |
| 5 or More Bedrooms | 451, 2.45%, 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.
