Douglas Micro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Douglas Area | Georgia | U.S. |
| Total Housing Units | 17,025, 100% | 4,114,496 | 132,741,033 |
| No Bedroom | 137, 0.80%, see rank | 1.26% | 2.17% |
| 1 Bedroom | 598, 3.51%, see rank | 7.39% | 11.16% |
| 2 Bedrooms | 3,746, 22.00%, see rank | 23.13% | 26.69% |
| 3 Bedrooms | 9,701, 56.98%, see rank | 43.93% | 39.70% |
| 4 Bedrooms | 2,449, 14.38%, see rank | 18.08% | 16.05% |
| 5 or More Bedrooms | 394, 2.31%, see rank | 6.22% | 4.22% |
ACS 2008-2012 data
| | Douglas Area | Georgia | U.S. |
| Total Housing Units | 20,572, 100% | 4,086,231 | 131,642,457 |
| No Bedroom | 202, 0.98%, see rank | 1.24% | 2.16% |
| 1 Bedroom | 649, 3.15%, see rank | 7.42% | 11.12% |
| 2 Bedrooms | 5,078, 24.68%, see rank | 23.32% | 26.85% |
| 3 Bedrooms | 11,566, 56.22%, see rank | 44.08% | 39.76% |
| 4 Bedrooms | 2,513, 12.22%, see rank | 17.90% | 15.95% |
| 5 or More Bedrooms | 564, 2.74%, see rank | 6.03% | 4.16% |
ACS 2006-2010 data
| | Douglas Area | Georgia | U.S. |
| Total Housing Units | 20,477, 100% | 4,020,736 | 130,038,080 |
| No Bedroom | 100, 0.49%, see rank | 0.96% | 1.84% |
| 1 Bedroom | 511, 2.50%, see rank | 7.70% | 11.32% |
| 2 Bedrooms | 5,568, 27.19%, see rank | 23.81% | 27.20% |
| 3 Bedrooms | 11,785, 57.55%, see rank | 44.22% | 39.80% |
| 4 Bedrooms | 2,194, 10.71%, see rank | 17.59% | 15.80% |
| 5 or More Bedrooms | 319, 1.56%, see rank | 5.72% | 4.04% |
ACS 2005-2009 data
| | Douglas Area | Georgia | U.S. |
| Total Housing Units | 20,090, 100% | 3,944,621 | 127,699,712 |
| No Bedroom | 98, 0.49%, see rank | 0.80% | 1.66% |
| 1 Bedroom | 614, 3.06%, see rank | 7.73% | 11.48% |
| 2 Bedrooms | 5,453, 27.14%, see rank | 24.35% | 27.48% |
| 3 Bedrooms | 11,424, 56.86%, see rank | 44.28% | 39.79% |
| 4 Bedrooms | 2,173, 10.82%, see rank | 17.44% | 15.64% |
| 5 or More Bedrooms | 328, 1.63%, 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.
