McComb Local School District Historical House Occupancy Status Data
ACS 2010-2014 data
| | McComb Local School District | Ohio | U.S. |
| Total Housing Units | 1,700, see rank, 100% | 5,135,173 | 132,741,033 |
| Occupied Housing Units | 1,522, 89.53%, see rank | 88.99% | 87.55% |
| Owner Occupied | 1,184, 69.65%, see rank | 59.52% | 56.34% |
| Renter Occupied | 338, 19.88%, see rank | 29.48% | 31.21% |
| Vacant Housing Units | 178, 10.47%, see rank | 11.01% | 12.45% |
| For Rent | 31, 1.82%, see rank | 2.34% | 2.34% |
| For Sale Only | 53, 3.12%, see rank | 1.24% | 1.20% |
| Rented or Sold, Not Occupied | 9, 0.53%, see rank | 0.88% | 0.92% |
| For Seasonal, Recreational, or Occasional Use | 10, 0.59%, see rank | 1.09% | 3.97% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 75, 4.41%, see rank | 5.44% | 4.00% |
US Census 2010 data
| | McComb Local School District | Ohio | U.S. |
| Total Housing Units | 1,523, see rank, 100% | 5,127,508 | 131,704,730 |
| Occupied Housing Units | 1,400, 91.92%, see rank | 89.78% | 88.62% |
| Owner Occupied | 1,130, 74.20%, see rank | 60.67% | 57.69% |
| Renter Occupied | 270, 17.73%, see rank | 29.11% | 30.93% |
| Vacant Housing Units | 123, 8.08%, see rank | 10.22% | 11.38% |
| For Rent | 24, 1.58%, see rank | 3.59% | 3.14% |
| For Sale Only | 19, 1.25%, see rank | 1.52% | 1.44% |
| Rented or Sold, Not Occupied | 12, 0.79%, see rank | 0.53% | 0.48% |
| For Seasonal, Recreational, or Occasional Use | 9, 0.59%, see rank | 1.14% | 3.53% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.02% |
| Other Vacant | 59, 3.87%, see rank | 3.42% | 2.77% |
ACS 2008-2012 data
| | McComb Local School District | Ohio | U.S. |
| Total Housing Units | 1,580, see rank, 100% | 5,124,503 | 131,642,457 |
| Occupied Housing Units | 1,417, 89.68%, see rank | 88.90% | 87.53% |
| Owner Occupied | 1,123, 71.08%, see rank | 60.46% | 57.34% |
| Renter Occupied | 294, 18.61%, see rank | 28.44% | 30.19% |
| Vacant Housing Units | 163, 10.32%, see rank | 11.10% | 12.47% |
| For Rent | 34, 2.15%, see rank | 2.67% | 2.50% |
| For Sale Only | 49, 3.10%, see rank | 1.45% | 1.38% |
| Rented or Sold, Not Occupied | 14, 0.89%, 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 | 66, 4.18%, see rank | 5.05% | 3.84% |
ACS 2006-2010 data
| | McComb Local School District | Ohio | U.S. |
| Total Housing Units | 1,484, see rank, 100% | 5,107,273 | 130,038,080 |
| Occupied Housing Units | 1,389, 93.60%, see rank | 89.13% | 87.85% |
| Owner Occupied | 1,111, 74.87%, see rank | 61.66% | 58.51% |
| Renter Occupied | 278, 18.73%, see rank | 27.47% | 29.33% |
| Vacant Housing Units | 95, 6.40%, see rank | 10.87% | 12.15% |
| For Rent | 29, 1.95%, see rank | 2.93% | 2.53% |
| For Sale Only | 10, 0.67%, see rank | 1.64% | 1.45% |
| Rented or Sold, Not Occupied | 14, 0.94%, see rank | 0.88% | 0.95% |
| For Seasonal, Recreational, or Occasional Use | 2, 0.13%, see rank | 1.04% | 3.60% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 40, 2.70%, see rank | 4.37% | 3.59% |
ACS 2005-2009 data
| | McComb Local School District | Ohio | U.S. |
| Total Housing Units | 1,280, see rank, 100% | 5,064,437 | 127,699,712 |
| Occupied Housing Units | 1,194, 93.28%, see rank | 89.37% | 88.18% |
| Owner Occupied | 942, 73.59%, see rank | 62.10% | 58.98% |
| Renter Occupied | 252, 19.69%, see rank | 27.27% | 29.20% |
| Vacant Housing Units | 86, 6.72%, see rank | 10.63% | 11.82% |
| For Rent | 19, 1.48%, see rank | 3.01% | 2.52% |
| For Sale Only | 9, 0.70%, see rank | 1.63% | 1.39% |
| Rented or Sold, Not Occupied | 16, 1.25%, see rank | 0.94% | 0.99% |
| For Seasonal, Recreational, or Occasional Use | 3, 0.23%, see rank | 1.00% | 3.45% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 39, 3.05%, 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.
