Woodland Public Schools Historical House Occupancy Status Data
ACS 2010-2014 data
| | Woodland Public Schools | Oklahoma | U.S. |
| Total Housing Units | 1,459, see rank, 100% | 1,680,457 | 132,741,033 |
| Occupied Housing Units | 1,081, 74.09%, see rank | 86.29% | 87.55% |
| Owner Occupied | 837, 57.37%, see rank | 57.40% | 56.34% |
| Renter Occupied | 244, 16.72%, see rank | 28.89% | 31.21% |
| Vacant Housing Units | 378, 25.91%, see rank | 13.71% | 12.45% |
| For Rent | 16, 1.10%, see rank | 2.61% | 2.34% |
| For Sale Only | 19, 1.30%, see rank | 1.34% | 1.20% |
| Rented or Sold, Not Occupied | 5, 0.34%, see rank | 1.05% | 0.92% |
| For Seasonal, Recreational, or Occasional Use | 69, 4.73%, see rank | 2.34% | 3.97% |
| For Migrant Workers | 0, 0.00%, see rank | 0.05% | 0.03% |
| Other Vacant | 269, 18.44%, see rank | 6.33% | 4.00% |
US Census 2010 data
| | Woodland Public Schools | Oklahoma | U.S. |
| Total Housing Units | 1,469, see rank, 100% | 1,664,378 | 131,704,730 |
| Occupied Housing Units | 1,103, 75.09%, see rank | 87.75% | 88.62% |
| Owner Occupied | 847, 57.66%, see rank | 58.99% | 57.69% |
| Renter Occupied | 256, 17.43%, see rank | 28.76% | 30.93% |
| Vacant Housing Units | 366, 24.91%, see rank | 12.25% | 11.38% |
| For Rent | 50, 3.40%, see rank | 3.56% | 3.14% |
| For Sale Only | 24, 1.63%, see rank | 1.36% | 1.44% |
| Rented or Sold, Not Occupied | 28, 1.91%, see rank | 0.67% | 0.48% |
| For Seasonal, Recreational, or Occasional Use | 44, 3.00%, see rank | 2.11% | 3.53% |
| For Migrant Workers | 1, 0.07%, see rank | 0.02% | 0.02% |
| Other Vacant | 219, 14.91%, see rank | 4.53% | 2.77% |
ACS 2008-2012 data
| | Woodland Public Schools | Oklahoma | U.S. |
| Total Housing Units | 1,565, see rank, 100% | 1,664,404 | 131,642,457 |
| Occupied Housing Units | 1,183, 75.59%, see rank | 86.47% | 87.53% |
| Owner Occupied | 879, 56.17%, see rank | 58.34% | 57.34% |
| Renter Occupied | 304, 19.42%, see rank | 28.13% | 30.19% |
| Vacant Housing Units | 382, 24.41%, see rank | 13.53% | 12.47% |
| For Rent | 15, 0.96%, see rank | 2.61% | 2.50% |
| For Sale Only | 69, 4.41%, see rank | 1.40% | 1.38% |
| Rented or Sold, Not Occupied | 11, 0.70%, see rank | 1.08% | 0.91% |
| For Seasonal, Recreational, or Occasional Use | 67, 4.28%, see rank | 2.41% | 3.81% |
| For Migrant Workers | 0, 0.00%, see rank | 0.03% | 0.03% |
| Other Vacant | 220, 14.06%, see rank | 6.00% | 3.84% |
ACS 2006-2010 data
| | Woodland Public Schools | Oklahoma | U.S. |
| Total Housing Units | 1,577, see rank, 100% | 1,644,228 | 130,038,080 |
| Occupied Housing Units | 1,211, 76.79%, see rank | 86.47% | 87.85% |
| Owner Occupied | 876, 55.55%, see rank | 58.99% | 58.51% |
| Renter Occupied | 335, 21.24%, see rank | 27.47% | 29.33% |
| Vacant Housing Units | 366, 23.21%, see rank | 13.53% | 12.15% |
| For Rent | 3, 0.19%, see rank | 2.70% | 2.53% |
| For Sale Only | 57, 3.61%, see rank | 1.42% | 1.45% |
| Rented or Sold, Not Occupied | 20, 1.27%, see rank | 1.09% | 0.95% |
| For Seasonal, Recreational, or Occasional Use | 94, 5.96%, see rank | 2.38% | 3.60% |
| For Migrant Workers | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Vacant | 192, 12.18%, see rank | 5.92% | 3.59% |
ACS 2005-2009 data
| | Woodland Public Schools | Oklahoma | U.S. |
| Total Housing Units | 1,537, see rank, 100% | 1,624,039 | 127,699,712 |
| Occupied Housing Units | 1,207, 78.53%, see rank | 86.51% | 88.18% |
| Owner Occupied | 857, 55.76%, see rank | 58.76% | 58.98% |
| Renter Occupied | 350, 22.77%, see rank | 27.76% | 29.20% |
| Vacant Housing Units | 330, 21.47%, see rank | 13.49% | 11.82% |
| For Rent | 3, 0.20%, see rank | 2.85% | 2.52% |
| For Sale Only | 55, 3.58%, see rank | 1.44% | 1.39% |
| Rented or Sold, Not Occupied | 22, 1.43%, see rank | 1.12% | 0.99% |
| For Seasonal, Recreational, or Occasional Use | 77, 5.01%, see rank | 2.24% | 3.45% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 173, 11.26%, see rank | 5.83% | 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.
