Thomaston Micro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Thomaston Area | Georgia | U.S. |
| Total Housing Units | 12,151, 100% | 4,114,496 | 132,741,033 |
| No Bedroom | 187, 1.54%, see rank | 1.26% | 2.17% |
| 1 Bedroom | 777, 6.39%, see rank | 7.39% | 11.16% |
| 2 Bedrooms | 3,717, 30.59%, see rank | 23.13% | 26.69% |
| 3 Bedrooms | 5,897, 48.53%, see rank | 43.93% | 39.70% |
| 4 Bedrooms | 1,322, 10.88%, see rank | 18.08% | 16.05% |
| 5 or More Bedrooms | 251, 2.07%, see rank | 6.22% | 4.22% |
ACS 2008-2012 data
| | Thomaston Area | Georgia | U.S. |
| Total Housing Units | 12,178, 100% | 4,086,231 | 131,642,457 |
| No Bedroom | 93, 0.76%, see rank | 1.24% | 2.16% |
| 1 Bedroom | 784, 6.44%, see rank | 7.42% | 11.12% |
| 2 Bedrooms | 4,259, 34.97%, see rank | 23.32% | 26.85% |
| 3 Bedrooms | 5,807, 47.68%, see rank | 44.08% | 39.76% |
| 4 Bedrooms | 1,050, 8.62%, see rank | 17.90% | 15.95% |
| 5 or More Bedrooms | 185, 1.52%, see rank | 6.03% | 4.16% |
ACS 2006-2010 data
| | Thomaston Area | Georgia | U.S. |
| Total Housing Units | 12,188, 100% | 4,020,736 | 130,038,080 |
| No Bedroom | 77, 0.63%, see rank | 0.96% | 1.84% |
| 1 Bedroom | 923, 7.57%, see rank | 7.70% | 11.32% |
| 2 Bedrooms | 4,063, 33.34%, see rank | 23.81% | 27.20% |
| 3 Bedrooms | 5,886, 48.29%, see rank | 44.22% | 39.80% |
| 4 Bedrooms | 999, 8.20%, see rank | 17.59% | 15.80% |
| 5 or More Bedrooms | 240, 1.97%, see rank | 5.72% | 4.04% |
ACS 2005-2009 data
| | Thomaston Area | Georgia | U.S. |
| Total Housing Units | 12,341, 100% | 3,944,621 | 127,699,712 |
| No Bedroom | 75, 0.61%, see rank | 0.80% | 1.66% |
| 1 Bedroom | 896, 7.26%, see rank | 7.73% | 11.48% |
| 2 Bedrooms | 4,187, 33.93%, see rank | 24.35% | 27.48% |
| 3 Bedrooms | 5,912, 47.91%, see rank | 44.28% | 39.79% |
| 4 Bedrooms | 1,032, 8.36%, see rank | 17.44% | 15.64% |
| 5 or More Bedrooms | 239, 1.94%, 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.
