Mount Gilead Exempted Village School District Historical House Occupancy Status Data
ACS 2010-2014 data
| Mount Gilead Exempted Village School District | Ohio | U.S. |
Total Housing Units | 3,424, see rank, 100% | 5,135,173 | 132,741,033 |
Occupied Housing Units | 3,050, 89.08%, see rank | 88.99% | 87.55% |
Owner Occupied | 2,193, 64.05%, see rank | 59.52% | 56.34% |
Renter Occupied | 857, 25.03%, see rank | 29.48% | 31.21% |
Vacant Housing Units | 374, 10.92%, see rank | 11.01% | 12.45% |
For Rent | 4, 0.12%, see rank | 2.34% | 2.34% |
For Sale Only | 67, 1.96%, 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 | 40, 1.17%, see rank | 1.09% | 3.97% |
For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
Other Vacant | 263, 7.68%, see rank | 5.44% | 4.00% |
US Census 2010 data
| Mount Gilead Exempted Village School District | Ohio | U.S. |
Total Housing Units | 3,456, see rank, 100% | 5,127,508 | 131,704,730 |
Occupied Housing Units | 3,136, 90.74%, see rank | 89.78% | 88.62% |
Owner Occupied | 2,181, 63.11%, see rank | 60.67% | 57.69% |
Renter Occupied | 955, 27.63%, see rank | 29.11% | 30.93% |
Vacant Housing Units | 320, 9.26%, see rank | 10.22% | 11.38% |
For Rent | 82, 2.37%, see rank | 3.59% | 3.14% |
For Sale Only | 68, 1.97%, see rank | 1.52% | 1.44% |
Rented or Sold, Not Occupied | 18, 0.52%, see rank | 0.53% | 0.48% |
For Seasonal, Recreational, or Occasional Use | 21, 0.61%, see rank | 1.14% | 3.53% |
For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.02% |
Other Vacant | 131, 3.79%, see rank | 3.42% | 2.77% |
ACS 2008-2012 data
| Mount Gilead Exempted Village School District | Ohio | U.S. |
Total Housing Units | 3,351, see rank, 100% | 5,124,503 | 131,642,457 |
Occupied Housing Units | 3,094, 92.33%, see rank | 88.90% | 87.53% |
Owner Occupied | 2,324, 69.35%, see rank | 60.46% | 57.34% |
Renter Occupied | 770, 22.98%, see rank | 28.44% | 30.19% |
Vacant Housing Units | 257, 7.67%, see rank | 11.10% | 12.47% |
For Rent | 0, 0.00%, see rank | 2.67% | 2.50% |
For Sale Only | 128, 3.82%, 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 | 0, 0.00%, see rank | 1.07% | 3.81% |
For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
Other Vacant | 129, 3.85%, see rank | 5.05% | 3.84% |
ACS 2006-2010 data
| Mount Gilead Exempted Village School District | Ohio | U.S. |
Total Housing Units | 3,249, see rank, 100% | 5,107,273 | 130,038,080 |
Occupied Housing Units | 2,902, 89.32%, see rank | 89.13% | 87.85% |
Owner Occupied | 2,217, 68.24%, see rank | 61.66% | 58.51% |
Renter Occupied | 685, 21.08%, see rank | 27.47% | 29.33% |
Vacant Housing Units | 347, 10.68%, see rank | 10.87% | 12.15% |
For Rent | 0, 0.00%, see rank | 2.93% | 2.53% |
For Sale Only | 136, 4.19%, 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 | 0, 0.00%, see rank | 1.04% | 3.60% |
For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
Other Vacant | 211, 6.49%, see rank | 4.37% | 3.59% |
ACS 2005-2009 data
| Mount Gilead Exempted Village School District | Ohio | U.S. |
Total Housing Units | 3,105, see rank, 100% | 5,064,437 | 127,699,712 |
Occupied Housing Units | 2,769, 89.18%, see rank | 89.37% | 88.18% |
Owner Occupied | 2,138, 68.86%, see rank | 62.10% | 58.98% |
Renter Occupied | 631, 20.32%, see rank | 27.27% | 29.20% |
Vacant Housing Units | 336, 10.82%, see rank | 10.63% | 11.82% |
For Rent | 0, 0.00%, see rank | 3.01% | 2.52% |
For Sale Only | 108, 3.48%, 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 | 0, 0.00%, see rank | 1.00% | 3.45% |
For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
Other Vacant | 228, 7.34%, 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.