Chester School District 39-1 Historical House Occupancy Status Data
ACS 2010-2014 data
| | Chester School District 39-1 | South Dakota | U.S. |
| Total Housing Units | 939, see rank, 100% | 369,186 | 132,741,033 |
| Occupied Housing Units | 690, 73.48%, see rank | 88.60% | 87.55% |
| Owner Occupied | 636, 67.73%, see rank | 60.29% | 56.34% |
| Renter Occupied | 54, 5.75%, see rank | 28.31% | 31.21% |
| Vacant Housing Units | 249, 26.52%, see rank | 11.40% | 12.45% |
| For Rent | 0, 0.00%, see rank | 1.80% | 2.34% |
| For Sale Only | 2, 0.21%, see rank | 1.07% | 1.20% |
| Rented or Sold, Not Occupied | 0, 0.00%, see rank | 0.77% | 0.92% |
| For Seasonal, Recreational, or Occasional Use | 191, 20.34%, see rank | 4.05% | 3.97% |
| For Migrant Workers | 0, 0.00%, see rank | 0.03% | 0.03% |
| Other Vacant | 56, 5.96%, see rank | 3.68% | 4.00% |
US Census 2010 data
| | Chester School District 39-1 | South Dakota | U.S. |
| Total Housing Units | 889, see rank, 100% | 363,438 | 131,704,730 |
| Occupied Housing Units | 648, 72.89%, see rank | 88.68% | 88.62% |
| Owner Occupied | 583, 65.58%, see rank | 60.41% | 57.69% |
| Renter Occupied | 65, 7.31%, see rank | 28.26% | 30.93% |
| Vacant Housing Units | 241, 27.11%, see rank | 11.32% | 11.38% |
| For Rent | 15, 1.69%, see rank | 2.85% | 3.14% |
| For Sale Only | 9, 1.01%, see rank | 1.02% | 1.44% |
| Rented or Sold, Not Occupied | 6, 0.67%, see rank | 0.54% | 0.48% |
| For Seasonal, Recreational, or Occasional Use | 195, 21.93%, see rank | 3.65% | 3.53% |
| For Migrant Workers | 0, 0.00%, see rank | 0.02% | 0.02% |
| Other Vacant | 16, 1.80%, see rank | 3.24% | 2.77% |
ACS 2008-2012 data
| | Chester School District 39-1 | South Dakota | U.S. |
| Total Housing Units | 885, see rank, 100% | 363,793 | 131,642,457 |
| Occupied Housing Units | 693, 78.31%, see rank | 88.09% | 87.53% |
| Owner Occupied | 638, 72.09%, see rank | 60.44% | 57.34% |
| Renter Occupied | 55, 6.21%, see rank | 27.65% | 30.19% |
| Vacant Housing Units | 192, 21.69%, see rank | 11.91% | 12.47% |
| For Rent | 0, 0.00%, see rank | 1.89% | 2.50% |
| For Sale Only | 2, 0.23%, 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 | 138, 15.59%, see rank | 4.05% | 3.81% |
| For Migrant Workers | 0, 0.00%, see rank | 0.03% | 0.03% |
| Other Vacant | 52, 5.88%, see rank | 3.99% | 3.84% |
ACS 2006-2010 data
| | Chester School District 39-1 | South Dakota | U.S. |
| Total Housing Units | 814, see rank, 100% | 357,725 | 130,038,080 |
| Occupied Housing Units | 680, 83.54%, see rank | 88.19% | 87.85% |
| Owner Occupied | 621, 76.29%, see rank | 60.73% | 58.51% |
| Renter Occupied | 59, 7.25%, see rank | 27.46% | 29.33% |
| Vacant Housing Units | 134, 16.46%, 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 | 110, 13.51%, see rank | 3.97% | 3.60% |
| For Migrant Workers | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Vacant | 24, 2.95%, see rank | 4.21% | 3.59% |
ACS 2005-2009 data
| | Chester School District 39-1 | South Dakota | U.S. |
| Total Housing Units | 846, see rank, 100% | 356,404 | 127,699,712 |
| Occupied Housing Units | 727, 85.93%, see rank | 88.29% | 88.18% |
| Owner Occupied | 630, 74.47%, see rank | 60.53% | 58.98% |
| Renter Occupied | 97, 11.47%, see rank | 27.77% | 29.20% |
| Vacant Housing Units | 119, 14.07%, see rank | 11.71% | 11.82% |
| For Rent | 0, 0.00%, see rank | 1.87% | 2.52% |
| For Sale Only | 0, 0.00%, see rank | 0.87% | 1.39% |
| Rented or Sold, Not Occupied | 0, 0.00%, see rank | 0.79% | 0.99% |
| For Seasonal, Recreational, or Occasional Use | 107, 12.65%, see rank | 3.86% | 3.45% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 12, 1.42%, 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.
