Williston Micro Area Historical House Occupancy Status Data
ACS 2010-2014 data
| | Williston Area | North Dakota | U.S. |
| Total Housing Units | 13,063, see rank, 100% | 332,010 | 132,741,033 |
| Occupied Housing Units | 11,113, 85.07%, see rank | 88.13% | 87.55% |
| Owner Occupied | 7,550, 57.80%, see rank | 57.41% | 56.34% |
| Renter Occupied | 3,563, 27.28%, see rank | 30.72% | 31.21% |
| Vacant Housing Units | 1,950, 14.93%, see rank | 11.87% | 12.45% |
| For Rent | 214, 1.64%, see rank | 1.87% | 2.34% |
| For Sale Only | 86, 0.66%, see rank | 0.78% | 1.20% |
| Rented or Sold, Not Occupied | 259, 1.98%, see rank | 0.84% | 0.92% |
| For Seasonal, Recreational, or Occasional Use | 866, 6.63%, see rank | 4.12% | 3.97% |
| For Migrant Workers | 111, 0.85%, see rank | 0.27% | 0.03% |
| Other Vacant | 414, 3.17%, see rank | 3.98% | 4.00% |
US Census 2010 data
| | Williston Area | North Dakota | U.S. |
| Total Housing Units | 10,464, see rank, 100% | 317,498 | 131,704,730 |
| Occupied Housing Units | 9,293, 88.81%, see rank | 88.56% | 88.62% |
| Owner Occupied | 6,442, 61.56%, see rank | 57.94% | 57.69% |
| Renter Occupied | 2,851, 27.25%, see rank | 30.63% | 30.93% |
| Vacant Housing Units | 1,171, 11.19%, see rank | 11.44% | 11.38% |
| For Rent | 127, 1.21%, see rank | 2.34% | 3.14% |
| For Sale Only | 37, 0.35%, see rank | 0.86% | 1.44% |
| Rented or Sold, Not Occupied | 58, 0.55%, see rank | 0.50% | 0.48% |
| For Seasonal, Recreational, or Occasional Use | 417, 3.99%, see rank | 3.62% | 3.53% |
| For Migrant Workers | 47, 0.45%, see rank | 0.10% | 0.02% |
| Other Vacant | 485, 4.63%, see rank | 4.02% | 2.77% |
ACS 2008-2012 data
| | Williston Area | North Dakota | U.S. |
| Total Housing Units | 10,884, see rank, 100% | 319,468 | 131,642,457 |
| Occupied Housing Units | 9,742, 89.51%, see rank | 88.48% | 87.53% |
| Owner Occupied | 6,872, 63.14%, see rank | 58.71% | 57.34% |
| Renter Occupied | 2,870, 26.37%, see rank | 29.77% | 30.19% |
| Vacant Housing Units | 1,142, 10.49%, see rank | 11.52% | 12.47% |
| For Rent | 35, 0.32%, see rank | 1.88% | 2.50% |
| For Sale Only | 12, 0.11%, see rank | 0.84% | 1.38% |
| Rented or Sold, Not Occupied | 97, 0.89%, see rank | 1.10% | 0.91% |
| For Seasonal, Recreational, or Occasional Use | 751, 6.90%, see rank | 4.09% | 3.81% |
| For Migrant Workers | 0, 0.00%, see rank | 0.14% | 0.03% |
| Other Vacant | 247, 2.27%, see rank | 3.47% | 3.84% |
ACS 2006-2010 data
| | Williston Area | North Dakota | U.S. |
| Total Housing Units | 10,184, see rank, 100% | 312,861 | 130,038,080 |
| Occupied Housing Units | 9,192, 90.26%, see rank | 88.42% | 87.85% |
| Owner Occupied | 6,544, 64.26%, see rank | 58.85% | 58.51% |
| Renter Occupied | 2,648, 26.00%, see rank | 29.57% | 29.33% |
| Vacant Housing Units | 992, 9.74%, see rank | 11.58% | 12.15% |
| For Rent | 45, 0.44%, see rank | 2.08% | 2.53% |
| For Sale Only | 23, 0.23%, see rank | 0.84% | 1.45% |
| Rented or Sold, Not Occupied | 69, 0.68%, see rank | 1.49% | 0.95% |
| For Seasonal, Recreational, or Occasional Use | 535, 5.25%, see rank | 3.94% | 3.60% |
| For Migrant Workers | 0, 0.00%, see rank | 0.10% | 0.03% |
| Other Vacant | 320, 3.14%, see rank | 3.13% | 3.59% |
ACS 2005-2009 data
| | Williston Area | North Dakota | U.S. |
| Total Housing Units | 9,766, see rank, 100% | 309,043 | 127,699,712 |
| Occupied Housing Units | 8,820, 90.31%, see rank | 88.35% | 88.18% |
| Owner Occupied | 6,067, 62.12%, see rank | 58.02% | 58.98% |
| Renter Occupied | 2,753, 28.19%, see rank | 30.32% | 29.20% |
| Vacant Housing Units | 946, 9.69%, see rank | 11.65% | 11.82% |
| For Rent | 59, 0.60%, see rank | 2.15% | 2.52% |
| For Sale Only | 48, 0.49%, see rank | 0.80% | 1.39% |
| Rented or Sold, Not Occupied | 43, 0.44%, see rank | 1.54% | 0.99% |
| For Seasonal, Recreational, or Occasional Use | 502, 5.14%, see rank | 3.94% | 3.45% |
| For Migrant Workers | 0, 0.00%, see rank | 0.05% | 0.03% |
| Other Vacant | 294, 3.01%, see rank | 3.18% | 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.
