Cornell School District Historical House Occupancy Status Data
ACS 2010-2014 data
| | Cornell School District | Wisconsin | U.S. |
| Total Housing Units | 1,249, see rank, 100% | 2,635,602 | 132,741,033 |
| Occupied Housing Units | 1,115, 89.27%, see rank | 87.01% | 87.55% |
| Owner Occupied | 859, 68.78%, see rank | 58.88% | 56.34% |
| Renter Occupied | 256, 20.50%, see rank | 28.13% | 31.21% |
| Vacant Housing Units | 134, 10.73%, see rank | 12.99% | 12.45% |
| For Rent | 21, 1.68%, see rank | 1.55% | 2.34% |
| For Sale Only | 8, 0.64%, see rank | 1.14% | 1.20% |
| Rented or Sold, Not Occupied | 12, 0.96%, see rank | 0.58% | 0.92% |
| For Seasonal, Recreational, or Occasional Use | 50, 4.00%, see rank | 7.02% | 3.97% |
| For Migrant Workers | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Vacant | 43, 3.44%, see rank | 2.67% | 4.00% |
US Census 2010 data
| | Cornell School District | Wisconsin | U.S. |
| Total Housing Units | 1,267, see rank, 100% | 2,624,358 | 131,704,730 |
| Occupied Housing Units | 1,088, 85.87%, see rank | 86.87% | 88.62% |
| Owner Occupied | 859, 67.80%, see rank | 59.12% | 57.69% |
| Renter Occupied | 229, 18.07%, see rank | 27.75% | 30.93% |
| Vacant Housing Units | 179, 14.13%, see rank | 13.13% | 11.38% |
| For Rent | 28, 2.21%, see rank | 2.41% | 3.14% |
| For Sale Only | 22, 1.74%, see rank | 1.30% | 1.44% |
| Rented or Sold, Not Occupied | 7, 0.55%, see rank | 0.36% | 0.48% |
| For Seasonal, Recreational, or Occasional Use | 83, 6.55%, see rank | 7.36% | 3.53% |
| For Migrant Workers | 1, 0.08%, see rank | 0.01% | 0.02% |
| Other Vacant | 38, 3.00%, see rank | 1.69% | 2.77% |
ACS 2008-2012 data
| | Cornell School District | Wisconsin | U.S. |
| Total Housing Units | 1,230, see rank, 100% | 2,620,401 | 131,642,457 |
| Occupied Housing Units | 1,126, 91.54%, see rank | 87.25% | 87.53% |
| Owner Occupied | 904, 73.50%, see rank | 59.85% | 57.34% |
| Renter Occupied | 222, 18.05%, see rank | 27.40% | 30.19% |
| Vacant Housing Units | 104, 8.46%, see rank | 12.75% | 12.47% |
| For Rent | 15, 1.22%, see rank | 1.66% | 2.50% |
| For Sale Only | 8, 0.65%, see rank | 1.18% | 1.38% |
| Rented or Sold, Not Occupied | 10, 0.81%, see rank | 0.59% | 0.91% |
| For Seasonal, Recreational, or Occasional Use | 31, 2.52%, see rank | 6.66% | 3.81% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 40, 3.25%, see rank | 2.64% | 3.84% |
ACS 2006-2010 data
| | Cornell School District | Wisconsin | U.S. |
| Total Housing Units | 1,169, see rank, 100% | 2,593,073 | 130,038,080 |
| Occupied Housing Units | 1,021, 87.34%, see rank | 87.72% | 87.85% |
| Owner Occupied | 847, 72.46%, see rank | 60.96% | 58.51% |
| Renter Occupied | 174, 14.88%, see rank | 26.76% | 29.33% |
| Vacant Housing Units | 148, 12.66%, see rank | 12.28% | 12.15% |
| For Rent | 18, 1.54%, see rank | 1.82% | 2.53% |
| For Sale Only | 0, 0.00%, see rank | 1.12% | 1.45% |
| Rented or Sold, Not Occupied | 17, 1.45%, see rank | 0.78% | 0.95% |
| For Seasonal, Recreational, or Occasional Use | 67, 5.73%, see rank | 6.25% | 3.60% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 46, 3.93%, see rank | 2.30% | 3.59% |
ACS 2005-2009 data
| | Cornell School District | Wisconsin | U.S. |
| Total Housing Units | 1,191, see rank, 100% | 2,549,915 | 127,699,712 |
| Occupied Housing Units | 1,047, 87.91%, see rank | 88.10% | 88.18% |
| Owner Occupied | 848, 71.20%, see rank | 61.54% | 58.98% |
| Renter Occupied | 199, 16.71%, see rank | 26.56% | 29.20% |
| Vacant Housing Units | 144, 12.09%, see rank | 11.90% | 11.82% |
| For Rent | 6, 0.50%, see rank | 1.85% | 2.52% |
| For Sale Only | 0, 0.00%, see rank | 1.04% | 1.39% |
| Rented or Sold, Not Occupied | 28, 2.35%, see rank | 0.88% | 0.99% |
| For Seasonal, Recreational, or Occasional Use | 69, 5.79%, see rank | 6.01% | 3.45% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 41, 3.44%, see rank | 2.11% | 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.
