Wilmington Micro Area Historical House Occupancy Status Data
ACS 2010-2014 data
| | Wilmington Area | Ohio | U.S. |
| Total Housing Units | 18,075, see rank, 100% | 5,135,173 | 132,741,033 |
| Occupied Housing Units | 16,052, 88.81%, see rank | 88.99% | 87.55% |
| Owner Occupied | 10,464, 57.89%, see rank | 59.52% | 56.34% |
| Renter Occupied | 5,588, 30.92%, see rank | 29.48% | 31.21% |
| Vacant Housing Units | 2,023, 11.19%, see rank | 11.01% | 12.45% |
| For Rent | 462, 2.56%, see rank | 2.34% | 2.34% |
| For Sale Only | 289, 1.60%, see rank | 1.24% | 1.20% |
| Rented or Sold, Not Occupied | 171, 0.95%, see rank | 0.88% | 0.92% |
| For Seasonal, Recreational, or Occasional Use | 175, 0.97%, see rank | 1.09% | 3.97% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 926, 5.12%, see rank | 5.44% | 4.00% |
US Census 2010 data
| | Wilmington Area | Ohio | U.S. |
| Total Housing Units | 18,133, see rank, 100% | 5,127,508 | 131,704,730 |
| Occupied Housing Units | 16,210, 89.40%, see rank | 89.78% | 88.62% |
| Owner Occupied | 10,890, 60.06%, see rank | 60.67% | 57.69% |
| Renter Occupied | 5,320, 29.34%, see rank | 29.11% | 30.93% |
| Vacant Housing Units | 1,923, 10.60%, see rank | 10.22% | 11.38% |
| For Rent | 712, 3.93%, see rank | 3.59% | 3.14% |
| For Sale Only | 327, 1.80%, see rank | 1.52% | 1.44% |
| Rented or Sold, Not Occupied | 99, 0.55%, see rank | 0.53% | 0.48% |
| For Seasonal, Recreational, or Occasional Use | 102, 0.56%, see rank | 1.14% | 3.53% |
| For Migrant Workers | 1, 0.01%, see rank | 0.01% | 0.02% |
| Other Vacant | 682, 3.76%, see rank | 3.42% | 2.77% |
ACS 2008-2012 data
| | Wilmington Area | Ohio | U.S. |
| Total Housing Units | 18,130, see rank, 100% | 5,124,503 | 131,642,457 |
| Occupied Housing Units | 16,018, 88.35%, see rank | 88.90% | 87.53% |
| Owner Occupied | 10,806, 59.60%, see rank | 60.46% | 57.34% |
| Renter Occupied | 5,212, 28.75%, see rank | 28.44% | 30.19% |
| Vacant Housing Units | 2,112, 11.65%, see rank | 11.10% | 12.47% |
| For Rent | 604, 3.33%, see rank | 2.67% | 2.50% |
| For Sale Only | 240, 1.32%, see rank | 1.45% | 1.38% |
| Rented or Sold, Not Occupied | 225, 1.24%, see rank | 0.83% | 0.91% |
| For Seasonal, Recreational, or Occasional Use | 388, 2.14%, see rank | 1.07% | 3.81% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 655, 3.61%, see rank | 5.05% | 3.84% |
ACS 2006-2010 data
| | Wilmington Area | Ohio | U.S. |
| Total Housing Units | 18,090, see rank, 100% | 5,107,273 | 130,038,080 |
| Occupied Housing Units | 16,323, 90.23%, see rank | 89.13% | 87.85% |
| Owner Occupied | 11,459, 63.34%, see rank | 61.66% | 58.51% |
| Renter Occupied | 4,864, 26.89%, see rank | 27.47% | 29.33% |
| Vacant Housing Units | 1,767, 9.77%, see rank | 10.87% | 12.15% |
| For Rent | 491, 2.71%, see rank | 2.93% | 2.53% |
| For Sale Only | 279, 1.54%, see rank | 1.64% | 1.45% |
| Rented or Sold, Not Occupied | 173, 0.96%, see rank | 0.88% | 0.95% |
| For Seasonal, Recreational, or Occasional Use | 477, 2.64%, see rank | 1.04% | 3.60% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 347, 1.92%, see rank | 4.37% | 3.59% |
ACS 2005-2009 data
| | Wilmington Area | Ohio | U.S. |
| Total Housing Units | 18,023, see rank, 100% | 5,064,437 | 127,699,712 |
| Occupied Housing Units | 16,411, 91.06%, see rank | 89.37% | 88.18% |
| Owner Occupied | 11,550, 64.08%, see rank | 62.10% | 58.98% |
| Renter Occupied | 4,861, 26.97%, see rank | 27.27% | 29.20% |
| Vacant Housing Units | 1,612, 8.94%, see rank | 10.63% | 11.82% |
| For Rent | 464, 2.57%, see rank | 3.01% | 2.52% |
| For Sale Only | 210, 1.17%, see rank | 1.63% | 1.39% |
| Rented or Sold, Not Occupied | 162, 0.90%, see rank | 0.94% | 0.99% |
| For Seasonal, Recreational, or Occasional Use | 446, 2.47%, see rank | 1.00% | 3.45% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 330, 1.83%, see rank | 4.03% | 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.
