Rolette Public School District 29 Historical House Occupancy Status Data
ACS 2010-2014 data
| | Rolette Public School District 29 | North Dakota | U.S. |
| Total Housing Units | 589, see rank, 100% | 332,010 | 132,741,033 |
| Occupied Housing Units | 515, 87.44%, see rank | 88.13% | 87.55% |
| Owner Occupied | 341, 57.89%, see rank | 57.41% | 56.34% |
| Renter Occupied | 174, 29.54%, see rank | 30.72% | 31.21% |
| Vacant Housing Units | 74, 12.56%, see rank | 11.87% | 12.45% |
| For Rent | 9, 1.53%, see rank | 1.87% | 2.34% |
| For Sale Only | 0, 0.00%, see rank | 0.78% | 1.20% |
| Rented or Sold, Not Occupied | 0, 0.00%, see rank | 0.84% | 0.92% |
| For Seasonal, Recreational, or Occasional Use | 2, 0.34%, see rank | 4.12% | 3.97% |
| For Migrant Workers | 0, 0.00%, see rank | 0.27% | 0.03% |
| Other Vacant | 63, 10.70%, see rank | 3.98% | 4.00% |
US Census 2010 data
| | Rolette Public School District 29 | North Dakota | U.S. |
| Total Housing Units | 571, see rank, 100% | 317,498 | 131,704,730 |
| Occupied Housing Units | 514, 90.02%, see rank | 88.56% | 88.62% |
| Owner Occupied | 343, 60.07%, see rank | 57.94% | 57.69% |
| Renter Occupied | 171, 29.95%, see rank | 30.63% | 30.93% |
| Vacant Housing Units | 57, 9.98%, see rank | 11.44% | 11.38% |
| For Rent | 13, 2.28%, see rank | 2.34% | 3.14% |
| For Sale Only | 5, 0.88%, see rank | 0.86% | 1.44% |
| Rented or Sold, Not Occupied | 3, 0.53%, see rank | 0.50% | 0.48% |
| For Seasonal, Recreational, or Occasional Use | 9, 1.58%, see rank | 3.62% | 3.53% |
| For Migrant Workers | 0, 0.00%, see rank | 0.10% | 0.02% |
| Other Vacant | 27, 4.73%, see rank | 4.02% | 2.77% |
ACS 2008-2012 data
| | Rolette Public School District 29 | North Dakota | U.S. |
| Total Housing Units | 513, see rank, 100% | 319,468 | 131,642,457 |
| Occupied Housing Units | 467, 91.03%, see rank | 88.48% | 87.53% |
| Owner Occupied | 300, 58.48%, see rank | 58.71% | 57.34% |
| Renter Occupied | 167, 32.55%, see rank | 29.77% | 30.19% |
| Vacant Housing Units | 46, 8.97%, see rank | 11.52% | 12.47% |
| For Rent | 13, 2.53%, see rank | 1.88% | 2.50% |
| For Sale Only | 0, 0.00%, see rank | 0.84% | 1.38% |
| Rented or Sold, Not Occupied | 0, 0.00%, see rank | 1.10% | 0.91% |
| For Seasonal, Recreational, or Occasional Use | 3, 0.58%, see rank | 4.09% | 3.81% |
| For Migrant Workers | 0, 0.00%, see rank | 0.14% | 0.03% |
| Other Vacant | 30, 5.85%, see rank | 3.47% | 3.84% |
ACS 2006-2010 data
| | Rolette Public School District 29 | North Dakota | U.S. |
| Total Housing Units | 532, see rank, 100% | 312,861 | 130,038,080 |
| Occupied Housing Units | 491, 92.29%, see rank | 88.42% | 87.85% |
| Owner Occupied | 311, 58.46%, see rank | 58.85% | 58.51% |
| Renter Occupied | 180, 33.83%, see rank | 29.57% | 29.33% |
| Vacant Housing Units | 41, 7.71%, see rank | 11.58% | 12.15% |
| For Rent | 13, 2.44%, see rank | 2.08% | 2.53% |
| For Sale Only | 0, 0.00%, see rank | 0.84% | 1.45% |
| Rented or Sold, Not Occupied | 0, 0.00%, see rank | 1.49% | 0.95% |
| For Seasonal, Recreational, or Occasional Use | 11, 2.07%, see rank | 3.94% | 3.60% |
| For Migrant Workers | 0, 0.00%, see rank | 0.10% | 0.03% |
| Other Vacant | 17, 3.20%, see rank | 3.13% | 3.59% |
ACS 2005-2009 data
| | Rolette Public School District 29 | North Dakota | U.S. |
| Total Housing Units | 568, see rank, 100% | 309,043 | 127,699,712 |
| Occupied Housing Units | 547, 96.30%, see rank | 88.35% | 88.18% |
| Owner Occupied | 370, 65.14%, see rank | 58.02% | 58.98% |
| Renter Occupied | 177, 31.16%, see rank | 30.32% | 29.20% |
| Vacant Housing Units | 21, 3.70%, see rank | 11.65% | 11.82% |
| For Rent | 10, 1.76%, see rank | 2.15% | 2.52% |
| For Sale Only | 0, 0.00%, see rank | 0.80% | 1.39% |
| Rented or Sold, Not Occupied | 0, 0.00%, see rank | 1.54% | 0.99% |
| For Seasonal, Recreational, or Occasional Use | 11, 1.94%, see rank | 3.94% | 3.45% |
| For Migrant Workers | 0, 0.00%, see rank | 0.05% | 0.03% |
| Other Vacant | 0, 0.00%, 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.
