Vermillion Micro Area Historical House Occupancy Status Data
ACS 2010-2014 data
| | Vermillion Area | South Dakota | U.S. |
| Total Housing Units | 5,703, see rank, 100% | 369,186 | 132,741,033 |
| Occupied Housing Units | 5,185, 90.92%, see rank | 88.60% | 87.55% |
| Owner Occupied | 2,697, 47.29%, see rank | 60.29% | 56.34% |
| Renter Occupied | 2,488, 43.63%, see rank | 28.31% | 31.21% |
| Vacant Housing Units | 518, 9.08%, see rank | 11.40% | 12.45% |
| For Rent | 88, 1.54%, see rank | 1.80% | 2.34% |
| For Sale Only | 109, 1.91%, see rank | 1.07% | 1.20% |
| Rented or Sold, Not Occupied | 75, 1.32%, see rank | 0.77% | 0.92% |
| For Seasonal, Recreational, or Occasional Use | 98, 1.72%, see rank | 4.05% | 3.97% |
| For Migrant Workers | 0, 0.00%, see rank | 0.03% | 0.03% |
| Other Vacant | 148, 2.60%, see rank | 3.68% | 4.00% |
US Census 2010 data
| | Vermillion Area | South Dakota | U.S. |
| Total Housing Units | 5,639, see rank, 100% | 363,438 | 131,704,730 |
| Occupied Housing Units | 5,110, 90.62%, see rank | 88.68% | 88.62% |
| Owner Occupied | 2,709, 48.04%, see rank | 60.41% | 57.69% |
| Renter Occupied | 2,401, 42.58%, see rank | 28.26% | 30.93% |
| Vacant Housing Units | 529, 9.38%, see rank | 11.32% | 11.38% |
| For Rent | 153, 2.71%, see rank | 2.85% | 3.14% |
| For Sale Only | 46, 0.82%, see rank | 1.02% | 1.44% |
| Rented or Sold, Not Occupied | 24, 0.43%, see rank | 0.54% | 0.48% |
| For Seasonal, Recreational, or Occasional Use | 181, 3.21%, see rank | 3.65% | 3.53% |
| For Migrant Workers | 2, 0.04%, see rank | 0.02% | 0.02% |
| Other Vacant | 123, 2.18%, see rank | 3.24% | 2.77% |
ACS 2008-2012 data
| | Vermillion Area | South Dakota | U.S. |
| Total Housing Units | 5,649, see rank, 100% | 363,793 | 131,642,457 |
| Occupied Housing Units | 5,142, 91.02%, see rank | 88.09% | 87.53% |
| Owner Occupied | 2,870, 50.81%, see rank | 60.44% | 57.34% |
| Renter Occupied | 2,272, 40.22%, see rank | 27.65% | 30.19% |
| Vacant Housing Units | 507, 8.98%, see rank | 11.91% | 12.47% |
| For Rent | 45, 0.80%, see rank | 1.89% | 2.50% |
| For Sale Only | 106, 1.88%, see rank | 1.11% | 1.38% |
| Rented or Sold, Not Occupied | 129, 2.28%, see rank | 0.84% | 0.91% |
| For Seasonal, Recreational, or Occasional Use | 63, 1.12%, see rank | 4.05% | 3.81% |
| For Migrant Workers | 0, 0.00%, see rank | 0.03% | 0.03% |
| Other Vacant | 164, 2.90%, see rank | 3.99% | 3.84% |
ACS 2006-2010 data
| | Vermillion Area | South Dakota | U.S. |
| Total Housing Units | 5,617, see rank, 100% | 357,725 | 130,038,080 |
| Occupied Housing Units | 4,936, 87.88%, see rank | 88.19% | 87.85% |
| Owner Occupied | 2,890, 51.45%, see rank | 60.73% | 58.51% |
| Renter Occupied | 2,046, 36.43%, see rank | 27.46% | 29.33% |
| Vacant Housing Units | 681, 12.12%, see rank | 11.81% | 12.15% |
| For Rent | 95, 1.69%, see rank | 1.90% | 2.53% |
| For Sale Only | 35, 0.62%, see rank | 0.94% | 1.45% |
| Rented or Sold, Not Occupied | 214, 3.81%, see rank | 0.77% | 0.95% |
| For Seasonal, Recreational, or Occasional Use | 103, 1.83%, see rank | 3.97% | 3.60% |
| For Migrant Workers | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Vacant | 234, 4.17%, see rank | 4.21% | 3.59% |
ACS 2005-2009 data
| | Vermillion Area | South Dakota | U.S. |
| Total Housing Units | 5,750, see rank, 100% | 356,404 | 127,699,712 |
| Occupied Housing Units | 5,295, 92.09%, see rank | 88.29% | 88.18% |
| Owner Occupied | 2,725, 47.39%, see rank | 60.53% | 58.98% |
| Renter Occupied | 2,570, 44.70%, see rank | 27.77% | 29.20% |
| Vacant Housing Units | 455, 7.91%, see rank | 11.71% | 11.82% |
| For Rent | 36, 0.63%, see rank | 1.87% | 2.52% |
| For Sale Only | 49, 0.85%, see rank | 0.87% | 1.39% |
| Rented or Sold, Not Occupied | 103, 1.79%, see rank | 0.79% | 0.99% |
| For Seasonal, Recreational, or Occasional Use | 84, 1.46%, see rank | 3.86% | 3.45% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 183, 3.18%, 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.
