Put-in-Bay Local School District Historical House Occupancy Status Data
ACS 2010-2014 data
| | Put-in-Bay Local School District | Ohio | U.S. |
| Total Housing Units | 952, see rank, 100% | 5,135,173 | 132,741,033 |
| Occupied Housing Units | 269, 28.26%, see rank | 88.99% | 87.55% |
| Owner Occupied | 203, 21.32%, see rank | 59.52% | 56.34% |
| Renter Occupied | 66, 6.93%, see rank | 29.48% | 31.21% |
| Vacant Housing Units | 683, 71.74%, see rank | 11.01% | 12.45% |
| For Rent | 17, 1.79%, see rank | 2.34% | 2.34% |
| For Sale Only | 0, 0.00%, see rank | 1.24% | 1.20% |
| Rented or Sold, Not Occupied | 0, 0.00%, see rank | 0.88% | 0.92% |
| For Seasonal, Recreational, or Occasional Use | 660, 69.33%, see rank | 1.09% | 3.97% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 6, 0.63%, see rank | 5.44% | 4.00% |
US Census 2010 data
| | Put-in-Bay Local School District | Ohio | U.S. |
| Total Housing Units | 999, see rank, 100% | 5,127,508 | 131,704,730 |
| Occupied Housing Units | 301, 30.13%, see rank | 89.78% | 88.62% |
| Owner Occupied | 243, 24.32%, see rank | 60.67% | 57.69% |
| Renter Occupied | 58, 5.81%, see rank | 29.11% | 30.93% |
| Vacant Housing Units | 698, 69.87%, see rank | 10.22% | 11.38% |
| For Rent | 25, 2.50%, see rank | 3.59% | 3.14% |
| For Sale Only | 5, 0.50%, see rank | 1.52% | 1.44% |
| Rented or Sold, Not Occupied | 6, 0.60%, see rank | 0.53% | 0.48% |
| For Seasonal, Recreational, or Occasional Use | 652, 65.27%, see rank | 1.14% | 3.53% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.02% |
| Other Vacant | 10, 1.00%, see rank | 3.42% | 2.77% |
ACS 2008-2012 data
| | Put-in-Bay Local School District | Ohio | U.S. |
| Total Housing Units | 887, see rank, 100% | 5,124,503 | 131,642,457 |
| Occupied Housing Units | 221, 24.92%, see rank | 88.90% | 87.53% |
| Owner Occupied | 181, 20.41%, see rank | 60.46% | 57.34% |
| Renter Occupied | 40, 4.51%, see rank | 28.44% | 30.19% |
| Vacant Housing Units | 666, 75.08%, see rank | 11.10% | 12.47% |
| For Rent | 11, 1.24%, see rank | 2.67% | 2.50% |
| For Sale Only | 0, 0.00%, see rank | 1.45% | 1.38% |
| Rented or Sold, Not Occupied | 0, 0.00%, see rank | 0.83% | 0.91% |
| For Seasonal, Recreational, or Occasional Use | 628, 70.80%, see rank | 1.07% | 3.81% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 27, 3.04%, see rank | 5.05% | 3.84% |
ACS 2006-2010 data
| | Put-in-Bay Local School District | Ohio | U.S. |
| Total Housing Units | 854, see rank, 100% | 5,107,273 | 130,038,080 |
| Occupied Housing Units | 213, 24.94%, see rank | 89.13% | 87.85% |
| Owner Occupied | 176, 20.61%, see rank | 61.66% | 58.51% |
| Renter Occupied | 37, 4.33%, see rank | 27.47% | 29.33% |
| Vacant Housing Units | 641, 75.06%, see rank | 10.87% | 12.15% |
| For Rent | 11, 1.29%, see rank | 2.93% | 2.53% |
| For Sale Only | 0, 0.00%, see rank | 1.64% | 1.45% |
| Rented or Sold, Not Occupied | 0, 0.00%, see rank | 0.88% | 0.95% |
| For Seasonal, Recreational, or Occasional Use | 600, 70.26%, see rank | 1.04% | 3.60% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 30, 3.51%, see rank | 4.37% | 3.59% |
ACS 2005-2009 data
| | Put-in-Bay Local School District | Ohio | U.S. |
| Total Housing Units | 822, see rank, 100% | 5,064,437 | 127,699,712 |
| Occupied Housing Units | 209, 25.43%, see rank | 89.37% | 88.18% |
| Owner Occupied | 172, 20.92%, see rank | 62.10% | 58.98% |
| Renter Occupied | 37, 4.50%, see rank | 27.27% | 29.20% |
| Vacant Housing Units | 613, 74.57%, see rank | 10.63% | 11.82% |
| For Rent | 0, 0.00%, see rank | 3.01% | 2.52% |
| For Sale Only | 3, 0.36%, see rank | 1.63% | 1.39% |
| Rented or Sold, Not Occupied | 0, 0.00%, see rank | 0.94% | 0.99% |
| For Seasonal, Recreational, or Occasional Use | 577, 70.19%, see rank | 1.00% | 3.45% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 33, 4.01%, 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.
