Spearfish Micro Area Historical House Occupancy Status Data
ACS 2010-2014 data
| | Spearfish Area | South Dakota | U.S. |
| Total Housing Units | 13,047, see rank, 100% | 369,186 | 132,741,033 |
| Occupied Housing Units | 10,483, 80.35%, see rank | 88.60% | 87.55% |
| Owner Occupied | 6,969, 53.41%, see rank | 60.29% | 56.34% |
| Renter Occupied | 3,514, 26.93%, see rank | 28.31% | 31.21% |
| Vacant Housing Units | 2,564, 19.65%, see rank | 11.40% | 12.45% |
| For Rent | 357, 2.74%, see rank | 1.80% | 2.34% |
| For Sale Only | 128, 0.98%, see rank | 1.07% | 1.20% |
| Rented or Sold, Not Occupied | 69, 0.53%, see rank | 0.77% | 0.92% |
| For Seasonal, Recreational, or Occasional Use | 1,810, 13.87%, see rank | 4.05% | 3.97% |
| For Migrant Workers | 0, 0.00%, see rank | 0.03% | 0.03% |
| Other Vacant | 200, 1.53%, see rank | 3.68% | 4.00% |
US Census 2010 data
| | Spearfish Area | South Dakota | U.S. |
| Total Housing Units | 12,756, see rank, 100% | 363,438 | 131,704,730 |
| Occupied Housing Units | 10,536, 82.60%, see rank | 88.68% | 88.62% |
| Owner Occupied | 6,772, 53.09%, see rank | 60.41% | 57.69% |
| Renter Occupied | 3,764, 29.51%, see rank | 28.26% | 30.93% |
| Vacant Housing Units | 2,220, 17.40%, see rank | 11.32% | 11.38% |
| For Rent | 358, 2.81%, see rank | 2.85% | 3.14% |
| For Sale Only | 171, 1.34%, see rank | 1.02% | 1.44% |
| Rented or Sold, Not Occupied | 71, 0.56%, see rank | 0.54% | 0.48% |
| For Seasonal, Recreational, or Occasional Use | 1,382, 10.83%, see rank | 3.65% | 3.53% |
| For Migrant Workers | 2, 0.02%, see rank | 0.02% | 0.02% |
| Other Vacant | 236, 1.85%, see rank | 3.24% | 2.77% |
ACS 2008-2012 data
| | Spearfish Area | South Dakota | U.S. |
| Total Housing Units | 12,745, see rank, 100% | 363,793 | 131,642,457 |
| Occupied Housing Units | 10,743, 84.29%, see rank | 88.09% | 87.53% |
| Owner Occupied | 6,988, 54.83%, see rank | 60.44% | 57.34% |
| Renter Occupied | 3,755, 29.46%, see rank | 27.65% | 30.19% |
| Vacant Housing Units | 2,002, 15.71%, see rank | 11.91% | 12.47% |
| For Rent | 337, 2.64%, see rank | 1.89% | 2.50% |
| For Sale Only | 89, 0.70%, see rank | 1.11% | 1.38% |
| Rented or Sold, Not Occupied | 49, 0.38%, see rank | 0.84% | 0.91% |
| For Seasonal, Recreational, or Occasional Use | 1,330, 10.44%, see rank | 4.05% | 3.81% |
| For Migrant Workers | 0, 0.00%, see rank | 0.03% | 0.03% |
| Other Vacant | 197, 1.55%, see rank | 3.99% | 3.84% |
ACS 2006-2010 data
| | Spearfish Area | South Dakota | U.S. |
| Total Housing Units | 12,423, see rank, 100% | 357,725 | 130,038,080 |
| Occupied Housing Units | 10,651, 85.74%, see rank | 88.19% | 87.85% |
| Owner Occupied | 6,889, 55.45%, see rank | 60.73% | 58.51% |
| Renter Occupied | 3,762, 30.28%, see rank | 27.46% | 29.33% |
| Vacant Housing Units | 1,772, 14.26%, see rank | 11.81% | 12.15% |
| For Rent | 238, 1.92%, see rank | 1.90% | 2.53% |
| For Sale Only | 33, 0.27%, see rank | 0.94% | 1.45% |
| Rented or Sold, Not Occupied | 78, 0.63%, see rank | 0.77% | 0.95% |
| For Seasonal, Recreational, or Occasional Use | 1,142, 9.19%, see rank | 3.97% | 3.60% |
| For Migrant Workers | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Vacant | 281, 2.26%, see rank | 4.21% | 3.59% |
ACS 2005-2009 data
| | Spearfish Area | South Dakota | U.S. |
| Total Housing Units | 11,937, see rank, 100% | 356,404 | 127,699,712 |
| Occupied Housing Units | 10,400, 87.12%, see rank | 88.29% | 88.18% |
| Owner Occupied | 6,543, 54.81%, see rank | 60.53% | 58.98% |
| Renter Occupied | 3,857, 32.31%, see rank | 27.77% | 29.20% |
| Vacant Housing Units | 1,537, 12.88%, see rank | 11.71% | 11.82% |
| For Rent | 248, 2.08%, see rank | 1.87% | 2.52% |
| For Sale Only | 63, 0.53%, see rank | 0.87% | 1.39% |
| Rented or Sold, Not Occupied | 75, 0.63%, see rank | 0.79% | 0.99% |
| For Seasonal, Recreational, or Occasional Use | 815, 6.83%, see rank | 3.86% | 3.45% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 336, 2.81%, 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.
