Watertown Micro Area Historical House Occupancy Status Data
ACS 2010-2014 data
| | Watertown Area | South Dakota | U.S. |
| Total Housing Units | 12,527, see rank, 100% | 369,186 | 132,741,033 |
| Occupied Housing Units | 11,666, 93.13%, see rank | 88.60% | 87.55% |
| Owner Occupied | 8,024, 64.05%, see rank | 60.29% | 56.34% |
| Renter Occupied | 3,642, 29.07%, see rank | 28.31% | 31.21% |
| Vacant Housing Units | 861, 6.87%, see rank | 11.40% | 12.45% |
| For Rent | 63, 0.50%, see rank | 1.80% | 2.34% |
| For Sale Only | 163, 1.30%, see rank | 1.07% | 1.20% |
| Rented or Sold, Not Occupied | 45, 0.36%, see rank | 0.77% | 0.92% |
| For Seasonal, Recreational, or Occasional Use | 332, 2.65%, see rank | 4.05% | 3.97% |
| For Migrant Workers | 0, 0.00%, see rank | 0.03% | 0.03% |
| Other Vacant | 258, 2.06%, see rank | 3.68% | 4.00% |
US Census 2010 data
| | Watertown Area | South Dakota | U.S. |
| Total Housing Units | 15,157, see rank, 100% | 363,438 | 131,704,730 |
| Occupied Housing Units | 13,540, 89.33%, see rank | 88.68% | 88.62% |
| Owner Occupied | 9,516, 62.78%, see rank | 60.41% | 57.69% |
| Renter Occupied | 4,024, 26.55%, see rank | 28.26% | 30.93% |
| Vacant Housing Units | 1,617, 10.67%, see rank | 11.32% | 11.38% |
| For Rent | 363, 2.39%, see rank | 2.85% | 3.14% |
| For Sale Only | 153, 1.01%, see rank | 1.02% | 1.44% |
| Rented or Sold, Not Occupied | 72, 0.48%, see rank | 0.54% | 0.48% |
| For Seasonal, Recreational, or Occasional Use | 718, 4.74%, see rank | 3.65% | 3.53% |
| For Migrant Workers | 2, 0.01%, see rank | 0.02% | 0.02% |
| Other Vacant | 309, 2.04%, see rank | 3.24% | 2.77% |
ACS 2008-2012 data
| | Watertown Area | South Dakota | U.S. |
| Total Housing Units | 15,183, see rank, 100% | 363,793 | 131,642,457 |
| Occupied Housing Units | 13,642, 89.85%, see rank | 88.09% | 87.53% |
| Owner Occupied | 9,912, 65.28%, see rank | 60.44% | 57.34% |
| Renter Occupied | 3,730, 24.57%, see rank | 27.65% | 30.19% |
| Vacant Housing Units | 1,541, 10.15%, see rank | 11.91% | 12.47% |
| For Rent | 94, 0.62%, see rank | 1.89% | 2.50% |
| For Sale Only | 193, 1.27%, see rank | 1.11% | 1.38% |
| Rented or Sold, Not Occupied | 44, 0.29%, see rank | 0.84% | 0.91% |
| For Seasonal, Recreational, or Occasional Use | 697, 4.59%, see rank | 4.05% | 3.81% |
| For Migrant Workers | 0, 0.00%, see rank | 0.03% | 0.03% |
| Other Vacant | 513, 3.38%, see rank | 3.99% | 3.84% |
ACS 2006-2010 data
| | Watertown Area | South Dakota | U.S. |
| Total Housing Units | 15,034, see rank, 100% | 357,725 | 130,038,080 |
| Occupied Housing Units | 13,361, 88.87%, see rank | 88.19% | 87.85% |
| Owner Occupied | 9,573, 63.68%, see rank | 60.73% | 58.51% |
| Renter Occupied | 3,788, 25.20%, see rank | 27.46% | 29.33% |
| Vacant Housing Units | 1,673, 11.13%, see rank | 11.81% | 12.15% |
| For Rent | 142, 0.94%, see rank | 1.90% | 2.53% |
| For Sale Only | 274, 1.82%, see rank | 0.94% | 1.45% |
| Rented or Sold, Not Occupied | 73, 0.49%, see rank | 0.77% | 0.95% |
| For Seasonal, Recreational, or Occasional Use | 755, 5.02%, see rank | 3.97% | 3.60% |
| For Migrant Workers | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Vacant | 429, 2.85%, see rank | 4.21% | 3.59% |
ACS 2005-2009 data
| | Watertown Area | South Dakota | U.S. |
| Total Housing Units | 15,005, see rank, 100% | 356,404 | 127,699,712 |
| Occupied Housing Units | 13,504, 90.00%, see rank | 88.29% | 88.18% |
| Owner Occupied | 9,335, 62.21%, see rank | 60.53% | 58.98% |
| Renter Occupied | 4,169, 27.78%, see rank | 27.77% | 29.20% |
| Vacant Housing Units | 1,501, 10.00%, see rank | 11.71% | 11.82% |
| For Rent | 137, 0.91%, see rank | 1.87% | 2.52% |
| For Sale Only | 189, 1.26%, see rank | 0.87% | 1.39% |
| Rented or Sold, Not Occupied | 57, 0.38%, see rank | 0.79% | 0.99% |
| For Seasonal, Recreational, or Occasional Use | 674, 4.49%, see rank | 3.86% | 3.45% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 444, 2.96%, 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.
