Gainesville Metro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Gainesville Area | Florida | U.S. |
Total Housing Units | 120,574, 100% | 9,051,851 | 132,741,033 |
No Bedroom | 2,013, 1.67%, see rank | 1.80% | 2.17% |
1 Bedroom | 13,595, 11.28%, see rank | 10.62% | 11.16% |
2 Bedrooms | 34,617, 28.71%, see rank | 33.79% | 26.69% |
3 Bedrooms | 49,659, 41.19%, see rank | 38.45% | 39.70% |
4 Bedrooms | 17,935, 14.87%, see rank | 12.90% | 16.05% |
5 or More Bedrooms | 2,755, 2.28%, see rank | 2.45% | 4.22% |
ACS 2008-2012 data
| Gainesville Area | Florida | U.S. |
Total Housing Units | 119,837, 100% | 8,983,414 | 131,642,457 |
No Bedroom | 1,670, 1.39%, see rank | 1.76% | 2.16% |
1 Bedroom | 14,031, 11.71%, see rank | 10.74% | 11.12% |
2 Bedrooms | 34,047, 28.41%, see rank | 33.72% | 26.85% |
3 Bedrooms | 49,027, 40.91%, see rank | 38.50% | 39.76% |
4 Bedrooms | 18,409, 15.36%, see rank | 12.90% | 15.95% |
5 or More Bedrooms | 2,653, 2.21%, see rank | 2.38% | 4.16% |
ACS 2006-2010 data
| Gainesville Area | Florida | U.S. |
Total Housing Units | 118,157, 100% | 8,863,057 | 130,038,080 |
No Bedroom | 1,302, 1.10%, see rank | 1.41% | 1.84% |
1 Bedroom | 14,522, 12.29%, see rank | 10.97% | 11.32% |
2 Bedrooms | 35,591, 30.12%, see rank | 34.24% | 27.20% |
3 Bedrooms | 46,744, 39.56%, see rank | 38.34% | 39.80% |
4 Bedrooms | 17,430, 14.75%, see rank | 12.76% | 15.80% |
5 or More Bedrooms | 2,568, 2.17%, see rank | 2.28% | 4.04% |
ACS 2005-2009 data
| Gainesville Area | Florida | U.S. |
Total Housing Units | 114,687, 100% | 8,641,264 | 127,699,712 |
No Bedroom | 923, 0.80%, see rank | 1.30% | 1.66% |
1 Bedroom | 14,081, 12.28%, see rank | 11.22% | 11.48% |
2 Bedrooms | 36,127, 31.50%, see rank | 34.68% | 27.48% |
3 Bedrooms | 44,096, 38.45%, see rank | 38.08% | 39.79% |
4 Bedrooms | 17,093, 14.90%, see rank | 12.50% | 15.64% |
5 or More Bedrooms | 2,367, 2.06%, see rank | 2.21% | 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.