Columbia Metro Area Historical House Occupancy Status Data
ACS 2010-2014 data
| Columbia Area | South Carolina | U.S. |
Total Housing Units | 336,587, see rank, 100% | 2,160,383 | 132,741,033 |
Occupied Housing Units | 296,439, 88.07%, see rank | 83.12% | 87.55% |
Owner Occupied | 199,204, 59.18%, see rank | 57.03% | 56.34% |
Renter Occupied | 97,235, 28.89%, see rank | 26.09% | 31.21% |
Vacant Housing Units | 40,148, 11.93%, see rank | 16.88% | 12.45% |
For Rent | 8,683, 2.58%, see rank | 3.50% | 2.34% |
For Sale Only | 4,726, 1.40%, see rank | 1.45% | 1.20% |
Rented or Sold, Not Occupied | 3,455, 1.03%, see rank | 0.86% | 0.92% |
For Seasonal, Recreational, or Occasional Use | 6,440, 1.91%, see rank | 5.85% | 3.97% |
For Migrant Workers | 43, 0.01%, see rank | 0.03% | 0.03% |
Other Vacant | 16,801, 4.99%, see rank | 5.20% | 4.00% |
US Census 2010 data
| Columbia Area | South Carolina | U.S. |
Total Housing Units | 331,470, see rank, 100% | 2,137,683 | 131,704,730 |
Occupied Housing Units | 294,881, 88.96%, see rank | 84.26% | 88.62% |
Owner Occupied | 200,980, 60.63%, see rank | 58.42% | 57.69% |
Renter Occupied | 93,901, 28.33%, see rank | 25.84% | 30.93% |
Vacant Housing Units | 36,589, 11.04%, see rank | 15.74% | 11.38% |
For Rent | 12,549, 3.79%, see rank | 4.34% | 3.14% |
For Sale Only | 5,529, 1.67%, see rank | 1.71% | 1.44% |
Rented or Sold, Not Occupied | 1,558, 0.47%, see rank | 0.58% | 0.48% |
For Seasonal, Recreational, or Occasional Use | 6,025, 1.82%, see rank | 5.26% | 3.53% |
For Migrant Workers | 24, 0.01%, see rank | 0.02% | 0.02% |
Other Vacant | 10,904, 3.29%, see rank | 3.83% | 2.77% |
ACS 2008-2012 data
| Columbia Area | South Carolina | U.S. |
Total Housing Units | 331,145, see rank, 100% | 2,134,456 | 131,642,457 |
Occupied Housing Units | 292,964, 88.47%, see rank | 82.84% | 87.53% |
Owner Occupied | 199,612, 60.28%, see rank | 57.54% | 57.34% |
Renter Occupied | 93,352, 28.19%, see rank | 25.30% | 30.19% |
Vacant Housing Units | 38,181, 11.53%, see rank | 17.16% | 12.47% |
For Rent | 9,058, 2.74%, see rank | 3.73% | 2.50% |
For Sale Only | 4,737, 1.43%, see rank | 1.65% | 1.38% |
Rented or Sold, Not Occupied | 3,305, 1.00%, see rank | 0.93% | 0.91% |
For Seasonal, Recreational, or Occasional Use | 5,914, 1.79%, see rank | 5.77% | 3.81% |
For Migrant Workers | 8, 0.00%, see rank | 0.03% | 0.03% |
Other Vacant | 15,159, 4.58%, see rank | 5.05% | 3.84% |
ACS 2006-2010 data
| Columbia Area | South Carolina | U.S. |
Total Housing Units | 322,491, see rank, 100% | 2,088,161 | 130,038,080 |
Occupied Housing Units | 287,784, 89.24%, see rank | 83.42% | 87.85% |
Owner Occupied | 197,959, 61.38%, see rank | 58.30% | 58.51% |
Renter Occupied | 89,825, 27.85%, see rank | 25.12% | 29.33% |
Vacant Housing Units | 34,707, 10.76%, see rank | 16.58% | 12.15% |
For Rent | 8,552, 2.65%, see rank | 3.58% | 2.53% |
For Sale Only | 4,286, 1.33%, see rank | 1.66% | 1.45% |
Rented or Sold, Not Occupied | 3,171, 0.98%, see rank | 0.96% | 0.95% |
For Seasonal, Recreational, or Occasional Use | 6,056, 1.88%, see rank | 5.47% | 3.60% |
For Migrant Workers | 22, 0.01%, see rank | 0.03% | 0.03% |
Other Vacant | 12,620, 3.91%, see rank | 4.88% | 3.59% |
ACS 2005-2009 data
| Columbia Area | South Carolina | U.S. |
Total Housing Units | 310,414, see rank, 100% | 2,020,422 | 127,699,712 |
Occupied Housing Units | 276,592, 89.10%, see rank | 83.81% | 88.18% |
Owner Occupied | 191,864, 61.81%, see rank | 58.93% | 58.98% |
Renter Occupied | 84,728, 27.30%, see rank | 24.89% | 29.20% |
Vacant Housing Units | 33,822, 10.90%, see rank | 16.19% | 11.82% |
For Rent | 8,719, 2.81%, see rank | 3.47% | 2.52% |
For Sale Only | 4,305, 1.39%, see rank | 1.63% | 1.39% |
Rented or Sold, Not Occupied | 3,377, 1.09%, see rank | 1.07% | 0.99% |
For Seasonal, Recreational, or Occasional Use | 5,759, 1.86%, see rank | 5.02% | 3.45% |
For Migrant Workers | 24, 0.01%, see rank | 0.03% | 0.03% |
Other Vacant | 11,638, 3.75%, see rank | 4.97% | 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.