Vidalia Micro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Vidalia Area | Georgia | U.S. |
| Total Housing Units | 16,019, 100% | 4,114,496 | 132,741,033 |
| No Bedroom | 210, 1.31%, see rank | 1.26% | 2.17% |
| 1 Bedroom | 738, 4.61%, see rank | 7.39% | 11.16% |
| 2 Bedrooms | 4,122, 25.73%, see rank | 23.13% | 26.69% |
| 3 Bedrooms | 8,368, 52.24%, see rank | 43.93% | 39.70% |
| 4 Bedrooms | 2,252, 14.06%, see rank | 18.08% | 16.05% |
| 5 or More Bedrooms | 329, 2.05%, see rank | 6.22% | 4.22% |
ACS 2008-2012 data
| | Vidalia Area | Georgia | U.S. |
| Total Housing Units | 16,023, 100% | 4,086,231 | 131,642,457 |
| No Bedroom | 194, 1.21%, see rank | 1.24% | 2.16% |
| 1 Bedroom | 584, 3.64%, see rank | 7.42% | 11.12% |
| 2 Bedrooms | 3,970, 24.78%, see rank | 23.32% | 26.85% |
| 3 Bedrooms | 8,804, 54.95%, see rank | 44.08% | 39.76% |
| 4 Bedrooms | 2,141, 13.36%, see rank | 17.90% | 15.95% |
| 5 or More Bedrooms | 330, 2.06%, see rank | 6.03% | 4.16% |
ACS 2006-2010 data
| | Vidalia Area | Georgia | U.S. |
| Total Housing Units | 16,000, 100% | 4,020,736 | 130,038,080 |
| No Bedroom | 107, 0.67%, see rank | 0.96% | 1.84% |
| 1 Bedroom | 618, 3.86%, see rank | 7.70% | 11.32% |
| 2 Bedrooms | 4,285, 26.78%, see rank | 23.81% | 27.20% |
| 3 Bedrooms | 8,787, 54.92%, see rank | 44.22% | 39.80% |
| 4 Bedrooms | 1,835, 11.47%, see rank | 17.59% | 15.80% |
| 5 or More Bedrooms | 368, 2.30%, see rank | 5.72% | 4.04% |
ACS 2005-2009 data
| | Vidalia Area | Georgia | U.S. |
| Total Housing Units | 15,699, 100% | 3,944,621 | 127,699,712 |
| No Bedroom | 104, 0.66%, see rank | 0.80% | 1.66% |
| 1 Bedroom | 594, 3.78%, see rank | 7.73% | 11.48% |
| 2 Bedrooms | 4,275, 27.23%, see rank | 24.35% | 27.48% |
| 3 Bedrooms | 8,788, 55.98%, see rank | 44.28% | 39.79% |
| 4 Bedrooms | 1,606, 10.23%, see rank | 17.44% | 15.64% |
| 5 or More Bedrooms | 332, 2.11%, 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.
