Wauchula Micro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Wauchula Area | Florida | U.S. |
| Total Housing Units | 9,667, 100% | 9,051,851 | 132,741,033 |
| No Bedroom | 79, 0.82%, see rank | 1.80% | 2.17% |
| 1 Bedroom | 1,191, 12.32%, see rank | 10.62% | 11.16% |
| 2 Bedrooms | 3,449, 35.68%, see rank | 33.79% | 26.69% |
| 3 Bedrooms | 3,713, 38.41%, see rank | 38.45% | 39.70% |
| 4 Bedrooms | 1,119, 11.58%, see rank | 12.90% | 16.05% |
| 5 or More Bedrooms | 116, 1.20%, see rank | 2.45% | 4.22% |
ACS 2008-2012 data
| | Wauchula Area | Florida | U.S. |
| Total Housing Units | 9,742, 100% | 8,983,414 | 131,642,457 |
| No Bedroom | 97, 1.00%, see rank | 1.76% | 2.16% |
| 1 Bedroom | 1,241, 12.74%, see rank | 10.74% | 11.12% |
| 2 Bedrooms | 3,337, 34.25%, see rank | 33.72% | 26.85% |
| 3 Bedrooms | 3,848, 39.50%, see rank | 38.50% | 39.76% |
| 4 Bedrooms | 984, 10.10%, see rank | 12.90% | 15.95% |
| 5 or More Bedrooms | 235, 2.41%, see rank | 2.38% | 4.16% |
ACS 2006-2010 data
| | Wauchula Area | Florida | U.S. |
| Total Housing Units | 9,811, 100% | 8,863,057 | 130,038,080 |
| No Bedroom | 73, 0.74%, see rank | 1.41% | 1.84% |
| 1 Bedroom | 1,313, 13.38%, see rank | 10.97% | 11.32% |
| 2 Bedrooms | 2,976, 30.33%, see rank | 34.24% | 27.20% |
| 3 Bedrooms | 4,305, 43.88%, see rank | 38.34% | 39.80% |
| 4 Bedrooms | 1,000, 10.19%, see rank | 12.76% | 15.80% |
| 5 or More Bedrooms | 144, 1.47%, see rank | 2.28% | 4.04% |
ACS 2005-2009 data
| | Wauchula Area | Florida | U.S. |
| Total Housing Units | 10,518, 100% | 8,641,264 | 127,699,712 |
| No Bedroom | 108, 1.03%, see rank | 1.30% | 1.66% |
| 1 Bedroom | 1,352, 12.85%, see rank | 11.22% | 11.48% |
| 2 Bedrooms | 2,873, 27.32%, see rank | 34.68% | 27.48% |
| 3 Bedrooms | 4,957, 47.13%, see rank | 38.08% | 39.79% |
| 4 Bedrooms | 1,022, 9.72%, see rank | 12.50% | 15.64% |
| 5 or More Bedrooms | 206, 1.96%, 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.
