Geneva County School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Geneva County School District | Alabama | U.S. |
Total Housing Units | 9,838, 100% | 2,190,638 | 132,741,033 |
No Bedroom | 76, 0.77%, see rank | 1.21% | 2.17% |
1 Bedroom | 447, 4.54%, see rank | 6.20% | 11.16% |
2 Bedrooms | 2,391, 24.30%, see rank | 23.92% | 26.69% |
3 Bedrooms | 5,473, 55.63%, see rank | 49.95% | 39.70% |
4 Bedrooms | 1,192, 12.12%, see rank | 15.40% | 16.05% |
5 or More Bedrooms | 259, 2.63%, see rank | 3.33% | 4.22% |
ACS 2008-2012 data
| Geneva County School District | Alabama | U.S. |
Total Housing Units | 9,689, 100% | 2,172,647 | 131,642,457 |
No Bedroom | 54, 0.56%, see rank | 1.13% | 2.16% |
1 Bedroom | 420, 4.33%, see rank | 6.24% | 11.12% |
2 Bedrooms | 1,989, 20.53%, see rank | 24.11% | 26.85% |
3 Bedrooms | 5,831, 60.18%, see rank | 50.35% | 39.76% |
4 Bedrooms | 1,243, 12.83%, see rank | 15.04% | 15.95% |
5 or More Bedrooms | 152, 1.57%, see rank | 3.13% | 4.16% |
ACS 2006-2010 data
| Geneva County School District | Alabama | U.S. |
Total Housing Units | 9,665, 100% | 2,146,513 | 130,038,080 |
No Bedroom | 33, 0.34%, see rank | 0.77% | 1.84% |
1 Bedroom | 353, 3.65%, see rank | 6.45% | 11.32% |
2 Bedrooms | 2,256, 23.34%, see rank | 24.90% | 27.20% |
3 Bedrooms | 5,768, 59.68%, see rank | 50.32% | 39.80% |
4 Bedrooms | 1,147, 11.87%, see rank | 14.53% | 15.80% |
5 or More Bedrooms | 108, 1.12%, see rank | 3.04% | 4.04% |
ACS 2005-2009 data
| Geneva County School District | Alabama | U.S. |
Total Housing Units | 9,447, 100% | 2,139,970 | 127,699,712 |
No Bedroom | 29, 0.31%, see rank | 0.63% | 1.66% |
1 Bedroom | 292, 3.09%, see rank | 6.71% | 11.48% |
2 Bedrooms | 2,117, 22.41%, see rank | 25.76% | 27.48% |
3 Bedrooms | 5,648, 59.79%, see rank | 49.79% | 39.79% |
4 Bedrooms | 1,179, 12.48%, see rank | 14.22% | 15.64% |
5 or More Bedrooms | 182, 1.93%, 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.