Rome Metro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Rome Area | Georgia | U.S. |
| Total Housing Units | 40,475, 100% | 4,114,496 | 132,741,033 |
| No Bedroom | 845, 2.09%, see rank | 1.26% | 2.17% |
| 1 Bedroom | 2,771, 6.85%, see rank | 7.39% | 11.16% |
| 2 Bedrooms | 11,330, 27.99%, see rank | 23.13% | 26.69% |
| 3 Bedrooms | 19,140, 47.29%, see rank | 43.93% | 39.70% |
| 4 Bedrooms | 4,876, 12.05%, see rank | 18.08% | 16.05% |
| 5 or More Bedrooms | 1,513, 3.74%, see rank | 6.22% | 4.22% |
ACS 2008-2012 data
| | Rome Area | Georgia | U.S. |
| Total Housing Units | 40,513, 100% | 4,086,231 | 131,642,457 |
| No Bedroom | 532, 1.31%, see rank | 1.24% | 2.16% |
| 1 Bedroom | 2,744, 6.77%, see rank | 7.42% | 11.12% |
| 2 Bedrooms | 11,853, 29.26%, see rank | 23.32% | 26.85% |
| 3 Bedrooms | 19,600, 48.38%, see rank | 44.08% | 39.76% |
| 4 Bedrooms | 4,502, 11.11%, see rank | 17.90% | 15.95% |
| 5 or More Bedrooms | 1,282, 3.16%, see rank | 6.03% | 4.16% |
ACS 2006-2010 data
| | Rome Area | Georgia | U.S. |
| Total Housing Units | 40,307, 100% | 4,020,736 | 130,038,080 |
| No Bedroom | 255, 0.63%, see rank | 0.96% | 1.84% |
| 1 Bedroom | 2,842, 7.05%, see rank | 7.70% | 11.32% |
| 2 Bedrooms | 11,888, 29.49%, see rank | 23.81% | 27.20% |
| 3 Bedrooms | 19,554, 48.51%, see rank | 44.22% | 39.80% |
| 4 Bedrooms | 4,430, 10.99%, see rank | 17.59% | 15.80% |
| 5 or More Bedrooms | 1,338, 3.32%, see rank | 5.72% | 4.04% |
ACS 2005-2009 data
| | Rome Area | Georgia | U.S. |
| Total Housing Units | 39,894, 100% | 3,944,621 | 127,699,712 |
| No Bedroom | 102, 0.26%, see rank | 0.80% | 1.66% |
| 1 Bedroom | 2,837, 7.11%, see rank | 7.73% | 11.48% |
| 2 Bedrooms | 11,869, 29.75%, see rank | 24.35% | 27.48% |
| 3 Bedrooms | 19,222, 48.18%, see rank | 44.28% | 39.79% |
| 4 Bedrooms | 4,597, 11.52%, see rank | 17.44% | 15.64% |
| 5 or More Bedrooms | 1,267, 3.18%, 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.
