Selma Micro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Selma Area | Alabama | U.S. |
| Total Housing Units | 20,216, 100% | 2,190,638 | 132,741,033 |
| No Bedroom | 1,279, 6.33%, see rank | 1.21% | 2.17% |
| 1 Bedroom | 748, 3.70%, see rank | 6.20% | 11.16% |
| 2 Bedrooms | 4,189, 20.72%, see rank | 23.92% | 26.69% |
| 3 Bedrooms | 10,133, 50.12%, see rank | 49.95% | 39.70% |
| 4 Bedrooms | 3,163, 15.65%, see rank | 15.40% | 16.05% |
| 5 or More Bedrooms | 704, 3.48%, see rank | 3.33% | 4.22% |
ACS 2008-2012 data
| | Selma Area | Alabama | U.S. |
| Total Housing Units | 20,248, 100% | 2,172,647 | 131,642,457 |
| No Bedroom | 1,224, 6.05%, see rank | 1.13% | 2.16% |
| 1 Bedroom | 686, 3.39%, see rank | 6.24% | 11.12% |
| 2 Bedrooms | 4,123, 20.36%, see rank | 24.11% | 26.85% |
| 3 Bedrooms | 10,871, 53.69%, see rank | 50.35% | 39.76% |
| 4 Bedrooms | 2,680, 13.24%, see rank | 15.04% | 15.95% |
| 5 or More Bedrooms | 664, 3.28%, see rank | 3.13% | 4.16% |
ACS 2006-2010 data
| | Selma Area | Alabama | U.S. |
| Total Housing Units | 20,345, 100% | 2,146,513 | 130,038,080 |
| No Bedroom | 630, 3.10%, see rank | 0.77% | 1.84% |
| 1 Bedroom | 912, 4.48%, see rank | 6.45% | 11.32% |
| 2 Bedrooms | 4,403, 21.64%, see rank | 24.90% | 27.20% |
| 3 Bedrooms | 11,346, 55.77%, see rank | 50.32% | 39.80% |
| 4 Bedrooms | 2,527, 12.42%, see rank | 14.53% | 15.80% |
| 5 or More Bedrooms | 527, 2.59%, see rank | 3.04% | 4.04% |
ACS 2005-2009 data
| | Selma Area | Alabama | U.S. |
| Total Housing Units | 20,990, 100% | 2,139,970 | 127,699,712 |
| No Bedroom | 500, 2.38%, see rank | 0.63% | 1.66% |
| 1 Bedroom | 1,000, 4.76%, see rank | 6.71% | 11.48% |
| 2 Bedrooms | 4,820, 22.96%, see rank | 25.76% | 27.48% |
| 3 Bedrooms | 11,385, 54.24%, see rank | 49.79% | 39.79% |
| 4 Bedrooms | 2,792, 13.30%, see rank | 14.22% | 15.64% |
| 5 or More Bedrooms | 493, 2.35%, see rank | 2.89% | 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.
