Canistota School District 43-1 Historical House Occupancy Status Data
ACS 2010-2014 data
| | Canistota School District 43-1 | South Dakota | U.S. |
| Total Housing Units | 515, see rank, 100% | 369,186 | 132,741,033 |
| Occupied Housing Units | 441, 85.63%, see rank | 88.60% | 87.55% |
| Owner Occupied | 358, 69.51%, see rank | 60.29% | 56.34% |
| Renter Occupied | 83, 16.12%, see rank | 28.31% | 31.21% |
| Vacant Housing Units | 74, 14.37%, see rank | 11.40% | 12.45% |
| For Rent | 8, 1.55%, see rank | 1.80% | 2.34% |
| For Sale Only | 0, 0.00%, see rank | 1.07% | 1.20% |
| Rented or Sold, Not Occupied | 8, 1.55%, see rank | 0.77% | 0.92% |
| For Seasonal, Recreational, or Occasional Use | 10, 1.94%, see rank | 4.05% | 3.97% |
| For Migrant Workers | 0, 0.00%, see rank | 0.03% | 0.03% |
| Other Vacant | 48, 9.32%, see rank | 3.68% | 4.00% |
US Census 2010 data
| | Canistota School District 43-1 | South Dakota | U.S. |
| Total Housing Units | 520, see rank, 100% | 363,438 | 131,704,730 |
| Occupied Housing Units | 463, 89.04%, see rank | 88.68% | 88.62% |
| Owner Occupied | 367, 70.58%, see rank | 60.41% | 57.69% |
| Renter Occupied | 96, 18.46%, see rank | 28.26% | 30.93% |
| Vacant Housing Units | 57, 10.96%, see rank | 11.32% | 11.38% |
| For Rent | 10, 1.92%, see rank | 2.85% | 3.14% |
| For Sale Only | 6, 1.15%, see rank | 1.02% | 1.44% |
| Rented or Sold, Not Occupied | 6, 1.15%, see rank | 0.54% | 0.48% |
| For Seasonal, Recreational, or Occasional Use | 7, 1.35%, see rank | 3.65% | 3.53% |
| For Migrant Workers | 0, 0.00%, see rank | 0.02% | 0.02% |
| Other Vacant | 28, 5.38%, see rank | 3.24% | 2.77% |
ACS 2008-2012 data
| | Canistota School District 43-1 | South Dakota | U.S. |
| Total Housing Units | 469, see rank, 100% | 363,793 | 131,642,457 |
| Occupied Housing Units | 416, 88.70%, see rank | 88.09% | 87.53% |
| Owner Occupied | 349, 74.41%, see rank | 60.44% | 57.34% |
| Renter Occupied | 67, 14.29%, see rank | 27.65% | 30.19% |
| Vacant Housing Units | 53, 11.30%, see rank | 11.91% | 12.47% |
| For Rent | 0, 0.00%, see rank | 1.89% | 2.50% |
| For Sale Only | 0, 0.00%, see rank | 1.11% | 1.38% |
| Rented or Sold, Not Occupied | 0, 0.00%, see rank | 0.84% | 0.91% |
| For Seasonal, Recreational, or Occasional Use | 10, 2.13%, see rank | 4.05% | 3.81% |
| For Migrant Workers | 0, 0.00%, see rank | 0.03% | 0.03% |
| Other Vacant | 43, 9.17%, see rank | 3.99% | 3.84% |
ACS 2006-2010 data
| | Canistota School District 43-1 | South Dakota | U.S. |
| Total Housing Units | 455, see rank, 100% | 357,725 | 130,038,080 |
| Occupied Housing Units | 412, 90.55%, see rank | 88.19% | 87.85% |
| Owner Occupied | 339, 74.51%, see rank | 60.73% | 58.51% |
| Renter Occupied | 73, 16.04%, see rank | 27.46% | 29.33% |
| Vacant Housing Units | 43, 9.45%, see rank | 11.81% | 12.15% |
| For Rent | 0, 0.00%, see rank | 1.90% | 2.53% |
| For Sale Only | 0, 0.00%, see rank | 0.94% | 1.45% |
| Rented or Sold, Not Occupied | 0, 0.00%, see rank | 0.77% | 0.95% |
| For Seasonal, Recreational, or Occasional Use | 0, 0.00%, see rank | 3.97% | 3.60% |
| For Migrant Workers | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Vacant | 43, 9.45%, see rank | 4.21% | 3.59% |
ACS 2005-2009 data
| | Canistota School District 43-1 | South Dakota | U.S. |
| Total Housing Units | 481, see rank, 100% | 356,404 | 127,699,712 |
| Occupied Housing Units | 418, 86.90%, see rank | 88.29% | 88.18% |
| Owner Occupied | 342, 71.10%, see rank | 60.53% | 58.98% |
| Renter Occupied | 76, 15.80%, see rank | 27.77% | 29.20% |
| Vacant Housing Units | 63, 13.10%, see rank | 11.71% | 11.82% |
| For Rent | 13, 2.70%, see rank | 1.87% | 2.52% |
| For Sale Only | 0, 0.00%, see rank | 0.87% | 1.39% |
| Rented or Sold, Not Occupied | 10, 2.08%, see rank | 0.79% | 0.99% |
| For Seasonal, Recreational, or Occasional Use | 0, 0.00%, see rank | 3.86% | 3.45% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 40, 8.32%, see rank | 4.30% | 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.
