Gahanna-Jefferson City School District Historical House Occupancy Status Data
ACS 2010-2014 data
| Gahanna-Jefferson City School District | Ohio | U.S. |
Total Housing Units | 17,607, see rank, 100% | 5,135,173 | 132,741,033 |
Occupied Housing Units | 16,878, 95.86%, see rank | 88.99% | 87.55% |
Owner Occupied | 12,474, 70.85%, see rank | 59.52% | 56.34% |
Renter Occupied | 4,404, 25.01%, see rank | 29.48% | 31.21% |
Vacant Housing Units | 729, 4.14%, see rank | 11.01% | 12.45% |
For Rent | 144, 0.82%, see rank | 2.34% | 2.34% |
For Sale Only | 262, 1.49%, see rank | 1.24% | 1.20% |
Rented or Sold, Not Occupied | 181, 1.03%, see rank | 0.88% | 0.92% |
For Seasonal, Recreational, or Occasional Use | 62, 0.35%, see rank | 1.09% | 3.97% |
For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
Other Vacant | 80, 0.45%, see rank | 5.44% | 4.00% |
US Census 2010 data
| Gahanna-Jefferson City School District | Ohio | U.S. |
Total Housing Units | 18,163, see rank, 100% | 5,127,508 | 131,704,730 |
Occupied Housing Units | 17,335, 95.44%, see rank | 89.78% | 88.62% |
Owner Occupied | 13,054, 71.87%, see rank | 60.67% | 57.69% |
Renter Occupied | 4,281, 23.57%, see rank | 29.11% | 30.93% |
Vacant Housing Units | 828, 4.56%, see rank | 10.22% | 11.38% |
For Rent | 314, 1.73%, see rank | 3.59% | 3.14% |
For Sale Only | 216, 1.19%, see rank | 1.52% | 1.44% |
Rented or Sold, Not Occupied | 78, 0.43%, see rank | 0.53% | 0.48% |
For Seasonal, Recreational, or Occasional Use | 82, 0.45%, see rank | 1.14% | 3.53% |
For Migrant Workers | 2, 0.01%, see rank | 0.01% | 0.02% |
Other Vacant | 136, 0.75%, see rank | 3.42% | 2.77% |
ACS 2008-2012 data
| Gahanna-Jefferson City School District | Ohio | U.S. |
Total Housing Units | 17,834, see rank, 100% | 5,124,503 | 131,642,457 |
Occupied Housing Units | 16,880, 94.65%, see rank | 88.90% | 87.53% |
Owner Occupied | 12,567, 70.47%, see rank | 60.46% | 57.34% |
Renter Occupied | 4,313, 24.18%, see rank | 28.44% | 30.19% |
Vacant Housing Units | 954, 5.35%, see rank | 11.10% | 12.47% |
For Rent | 201, 1.13%, see rank | 2.67% | 2.50% |
For Sale Only | 483, 2.71%, see rank | 1.45% | 1.38% |
Rented or Sold, Not Occupied | 97, 0.54%, see rank | 0.83% | 0.91% |
For Seasonal, Recreational, or Occasional Use | 50, 0.28%, see rank | 1.07% | 3.81% |
For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
Other Vacant | 123, 0.69%, see rank | 5.05% | 3.84% |
ACS 2006-2010 data
| Gahanna-Jefferson City School District | Ohio | U.S. |
Total Housing Units | 17,785, see rank, 100% | 5,107,273 | 130,038,080 |
Occupied Housing Units | 16,580, 93.22%, see rank | 89.13% | 87.85% |
Owner Occupied | 12,385, 69.64%, see rank | 61.66% | 58.51% |
Renter Occupied | 4,195, 23.59%, see rank | 27.47% | 29.33% |
Vacant Housing Units | 1,205, 6.78%, see rank | 10.87% | 12.15% |
For Rent | 247, 1.39%, see rank | 2.93% | 2.53% |
For Sale Only | 504, 2.83%, see rank | 1.64% | 1.45% |
Rented or Sold, Not Occupied | 210, 1.18%, see rank | 0.88% | 0.95% |
For Seasonal, Recreational, or Occasional Use | 13, 0.07%, see rank | 1.04% | 3.60% |
For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
Other Vacant | 231, 1.30%, see rank | 4.37% | 3.59% |
ACS 2005-2009 data
| Gahanna-Jefferson City School District | Ohio | U.S. |
Total Housing Units | 16,957, see rank, 100% | 5,064,437 | 127,699,712 |
Occupied Housing Units | 15,994, 94.32%, see rank | 89.37% | 88.18% |
Owner Occupied | 11,704, 69.02%, see rank | 62.10% | 58.98% |
Renter Occupied | 4,290, 25.30%, see rank | 27.27% | 29.20% |
Vacant Housing Units | 963, 5.68%, see rank | 10.63% | 11.82% |
For Rent | 286, 1.69%, see rank | 3.01% | 2.52% |
For Sale Only | 312, 1.84%, see rank | 1.63% | 1.39% |
Rented or Sold, Not Occupied | 170, 1.00%, see rank | 0.94% | 0.99% |
For Seasonal, Recreational, or Occasional Use | 15, 0.09%, see rank | 1.00% | 3.45% |
For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
Other Vacant | 180, 1.06%, 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.