Dublin Micro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Dublin Area | Georgia | U.S. |
| Total Housing Units | 25,424, 100% | 4,114,496 | 132,741,033 |
| No Bedroom | 191, 0.75%, see rank | 1.26% | 2.17% |
| 1 Bedroom | 1,236, 4.86%, see rank | 7.39% | 11.16% |
| 2 Bedrooms | 6,250, 24.58%, see rank | 23.13% | 26.69% |
| 3 Bedrooms | 14,312, 56.29%, see rank | 43.93% | 39.70% |
| 4 Bedrooms | 2,980, 11.72%, see rank | 18.08% | 16.05% |
| 5 or More Bedrooms | 455, 1.79%, see rank | 6.22% | 4.22% |
ACS 2008-2012 data
| | Dublin Area | Georgia | U.S. |
| Total Housing Units | 25,402, 100% | 4,086,231 | 131,642,457 |
| No Bedroom | 80, 0.31%, see rank | 1.24% | 2.16% |
| 1 Bedroom | 1,525, 6.00%, see rank | 7.42% | 11.12% |
| 2 Bedrooms | 6,431, 25.32%, see rank | 23.32% | 26.85% |
| 3 Bedrooms | 13,686, 53.88%, see rank | 44.08% | 39.76% |
| 4 Bedrooms | 3,266, 12.86%, see rank | 17.90% | 15.95% |
| 5 or More Bedrooms | 414, 1.63%, see rank | 6.03% | 4.16% |
ACS 2006-2010 data
| | Dublin Area | Georgia | U.S. |
| Total Housing Units | 25,200, 100% | 4,020,736 | 130,038,080 |
| No Bedroom | 76, 0.30%, see rank | 0.96% | 1.84% |
| 1 Bedroom | 1,576, 6.25%, see rank | 7.70% | 11.32% |
| 2 Bedrooms | 5,972, 23.70%, see rank | 23.81% | 27.20% |
| 3 Bedrooms | 13,498, 53.56%, see rank | 44.22% | 39.80% |
| 4 Bedrooms | 3,590, 14.25%, see rank | 17.59% | 15.80% |
| 5 or More Bedrooms | 488, 1.94%, see rank | 5.72% | 4.04% |
ACS 2005-2009 data
| | Dublin Area | Georgia | U.S. |
| Total Housing Units | 24,050, 100% | 3,944,621 | 127,699,712 |
| No Bedroom | 33, 0.14%, see rank | 0.80% | 1.66% |
| 1 Bedroom | 1,446, 6.01%, see rank | 7.73% | 11.48% |
| 2 Bedrooms | 5,708, 23.73%, see rank | 24.35% | 27.48% |
| 3 Bedrooms | 13,165, 54.74%, see rank | 44.28% | 39.79% |
| 4 Bedrooms | 3,220, 13.39%, see rank | 17.44% | 15.64% |
| 5 or More Bedrooms | 478, 1.99%, 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.
