Wauchula Micro Area Historical House Occupancy Status Data
ACS 2010-2014 data
| | Wauchula Area | Florida | U.S. |
| Total Housing Units | 9,667, see rank, 100% | 9,051,851 | 132,741,033 |
| Occupied Housing Units | 7,534, 77.94%, see rank | 79.74% | 87.55% |
| Owner Occupied | 5,402, 55.88%, see rank | 52.73% | 56.34% |
| Renter Occupied | 2,132, 22.05%, see rank | 27.01% | 31.21% |
| Vacant Housing Units | 2,133, 22.06%, see rank | 20.26% | 12.45% |
| For Rent | 310, 3.21%, see rank | 2.97% | 2.34% |
| For Sale Only | 199, 2.06%, see rank | 1.66% | 1.20% |
| Rented or Sold, Not Occupied | 146, 1.51%, see rank | 1.21% | 0.92% |
| For Seasonal, Recreational, or Occasional Use | 845, 8.74%, see rank | 9.84% | 3.97% |
| For Migrant Workers | 90, 0.93%, see rank | 0.04% | 0.03% |
| Other Vacant | 543, 5.62%, see rank | 4.54% | 4.00% |
US Census 2010 data
| | Wauchula Area | Florida | U.S. |
| Total Housing Units | 9,722, see rank, 100% | 8,989,580 | 131,704,730 |
| Occupied Housing Units | 8,245, 84.81%, see rank | 82.55% | 88.62% |
| Owner Occupied | 5,733, 58.97%, see rank | 55.61% | 57.69% |
| Renter Occupied | 2,512, 25.84%, see rank | 26.94% | 30.93% |
| Vacant Housing Units | 1,477, 15.19%, see rank | 17.45% | 11.38% |
| For Rent | 270, 2.78%, see rank | 4.13% | 3.14% |
| For Sale Only | 147, 1.51%, see rank | 2.21% | 1.44% |
| Rented or Sold, Not Occupied | 37, 0.38%, see rank | 0.53% | 0.48% |
| For Seasonal, Recreational, or Occasional Use | 601, 6.18%, see rank | 7.31% | 3.53% |
| For Migrant Workers | 66, 0.68%, see rank | 0.02% | 0.02% |
| Other Vacant | 356, 3.66%, see rank | 3.26% | 2.77% |
ACS 2008-2012 data
| | Wauchula Area | Florida | U.S. |
| Total Housing Units | 9,742, see rank, 100% | 8,983,414 | 131,642,457 |
| Occupied Housing Units | 7,494, 76.92%, see rank | 79.56% | 87.53% |
| Owner Occupied | 5,449, 55.93%, see rank | 54.16% | 57.34% |
| Renter Occupied | 2,045, 20.99%, see rank | 25.40% | 30.19% |
| Vacant Housing Units | 2,248, 23.08%, see rank | 20.44% | 12.47% |
| For Rent | 124, 1.27%, see rank | 3.35% | 2.50% |
| For Sale Only | 152, 1.56%, see rank | 2.07% | 1.38% |
| Rented or Sold, Not Occupied | 152, 1.56%, see rank | 1.20% | 0.91% |
| For Seasonal, Recreational, or Occasional Use | 1,002, 10.29%, see rank | 9.43% | 3.81% |
| For Migrant Workers | 219, 2.25%, see rank | 0.06% | 0.03% |
| Other Vacant | 599, 6.15%, see rank | 4.35% | 3.84% |
ACS 2006-2010 data
| | Wauchula Area | Florida | U.S. |
| Total Housing Units | 9,811, see rank, 100% | 8,863,057 | 130,038,080 |
| Occupied Housing Units | 7,694, 78.42%, see rank | 80.70% | 87.85% |
| Owner Occupied | 5,748, 58.59%, see rank | 56.26% | 58.51% |
| Renter Occupied | 1,946, 19.83%, see rank | 24.44% | 29.33% |
| Vacant Housing Units | 2,117, 21.58%, see rank | 19.30% | 12.15% |
| For Rent | 142, 1.45%, see rank | 3.22% | 2.53% |
| For Sale Only | 18, 0.18%, see rank | 2.38% | 1.45% |
| Rented or Sold, Not Occupied | 121, 1.23%, see rank | 1.23% | 0.95% |
| For Seasonal, Recreational, or Occasional Use | 1,034, 10.54%, see rank | 8.71% | 3.60% |
| For Migrant Workers | 249, 2.54%, see rank | 0.06% | 0.03% |
| Other Vacant | 553, 5.64%, see rank | 3.69% | 3.59% |
ACS 2005-2009 data
| | Wauchula Area | Florida | U.S. |
| Total Housing Units | 10,518, see rank, 100% | 8,641,264 | 127,699,712 |
| Occupied Housing Units | 8,418, 80.03%, see rank | 81.89% | 88.18% |
| Owner Occupied | 6,088, 57.88%, see rank | 57.09% | 58.98% |
| Renter Occupied | 2,330, 22.15%, see rank | 24.80% | 29.20% |
| Vacant Housing Units | 2,100, 19.97%, see rank | 18.11% | 11.82% |
| For Rent | 182, 1.73%, see rank | 3.01% | 2.52% |
| For Sale Only | 9, 0.09%, see rank | 2.17% | 1.39% |
| Rented or Sold, Not Occupied | 124, 1.18%, see rank | 1.30% | 0.99% |
| For Seasonal, Recreational, or Occasional Use | 944, 8.98%, see rank | 8.28% | 3.45% |
| For Migrant Workers | 240, 2.28%, see rank | 0.07% | 0.03% |
| Other Vacant | 601, 5.71%, see rank | 3.28% | 3.44% |
* 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.
