Sweetwater Micro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Sweetwater Area | Texas | U.S. |
| Total Housing Units | 7,122, 100% | 10,187,189 | 132,741,033 |
| No Bedroom | 122, 1.71%, see rank | 1.85% | 2.17% |
| 1 Bedroom | 669, 9.39%, see rank | 12.69% | 11.16% |
| 2 Bedrooms | 2,336, 32.80%, see rank | 23.33% | 26.69% |
| 3 Bedrooms | 3,249, 45.62%, see rank | 41.71% | 39.70% |
| 4 Bedrooms | 607, 8.52%, see rank | 17.12% | 16.05% |
| 5 or More Bedrooms | 139, 1.95%, see rank | 3.30% | 4.22% |
ACS 2008-2012 data
| | Sweetwater Area | Texas | U.S. |
| Total Housing Units | 7,147, 100% | 9,978,137 | 131,642,457 |
| No Bedroom | 97, 1.36%, see rank | 1.80% | 2.16% |
| 1 Bedroom | 624, 8.73%, see rank | 12.56% | 11.12% |
| 2 Bedrooms | 2,288, 32.01%, see rank | 23.59% | 26.85% |
| 3 Bedrooms | 3,251, 45.49%, see rank | 42.06% | 39.76% |
| 4 Bedrooms | 729, 10.20%, see rank | 16.79% | 15.95% |
| 5 or More Bedrooms | 158, 2.21%, see rank | 3.20% | 4.16% |
ACS 2006-2010 data
| | Sweetwater Area | Texas | U.S. |
| Total Housing Units | 7,155, 100% | 9,718,470 | 130,038,080 |
| No Bedroom | 60, 0.84%, see rank | 1.41% | 1.84% |
| 1 Bedroom | 740, 10.34%, see rank | 12.89% | 11.32% |
| 2 Bedrooms | 2,125, 29.70%, see rank | 24.18% | 27.20% |
| 3 Bedrooms | 3,205, 44.79%, see rank | 42.18% | 39.80% |
| 4 Bedrooms | 860, 12.02%, see rank | 16.35% | 15.80% |
| 5 or More Bedrooms | 165, 2.31%, see rank | 2.99% | 4.04% |
ACS 2005-2009 data
| | Sweetwater Area | Texas | U.S. |
| Total Housing Units | 7,116, 100% | 9,407,692 | 127,699,712 |
| No Bedroom | 59, 0.83%, see rank | 1.25% | 1.66% |
| 1 Bedroom | 938, 13.18%, see rank | 13.31% | 11.48% |
| 2 Bedrooms | 1,964, 27.60%, see rank | 24.82% | 27.48% |
| 3 Bedrooms | 3,252, 45.70%, see rank | 41.94% | 39.79% |
| 4 Bedrooms | 801, 11.26%, see rank | 15.89% | 15.64% |
| 5 or More Bedrooms | 102, 1.43%, see rank | 2.79% | 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.
