Rolla Micro Area Historical House Occupancy Status Data
ACS 2010-2014 data
| | Rolla Area | Missouri | U.S. |
| Total Housing Units | 19,662, see rank, 100% | 2,723,417 | 132,741,033 |
| Occupied Housing Units | 16,737, 85.12%, see rank | 86.70% | 87.55% |
| Owner Occupied | 10,249, 52.13%, see rank | 58.91% | 56.34% |
| Renter Occupied | 6,488, 33.00%, see rank | 27.79% | 31.21% |
| Vacant Housing Units | 2,925, 14.88%, see rank | 13.30% | 12.45% |
| For Rent | 499, 2.54%, see rank | 2.21% | 2.34% |
| For Sale Only | 469, 2.39%, see rank | 1.40% | 1.20% |
| Rented or Sold, Not Occupied | 116, 0.59%, see rank | 0.81% | 0.92% |
| For Seasonal, Recreational, or Occasional Use | 652, 3.32%, see rank | 3.29% | 3.97% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 1,189, 6.05%, see rank | 5.57% | 4.00% |
US Census 2010 data
| | Rolla Area | Missouri | U.S. |
| Total Housing Units | 19,533, see rank, 100% | 2,712,729 | 131,704,730 |
| Occupied Housing Units | 17,564, 89.92%, see rank | 87.57% | 88.62% |
| Owner Occupied | 10,849, 55.54%, see rank | 60.22% | 57.69% |
| Renter Occupied | 6,715, 34.38%, see rank | 27.35% | 30.93% |
| Vacant Housing Units | 1,969, 10.08%, see rank | 12.43% | 11.38% |
| For Rent | 604, 3.09%, see rank | 3.43% | 3.14% |
| For Sale Only | 241, 1.23%, see rank | 1.63% | 1.44% |
| Rented or Sold, Not Occupied | 74, 0.38%, see rank | 0.57% | 0.48% |
| For Seasonal, Recreational, or Occasional Use | 294, 1.51%, see rank | 2.96% | 3.53% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.02% |
| Other Vacant | 756, 3.87%, see rank | 3.83% | 2.77% |
ACS 2008-2012 data
| | Rolla Area | Missouri | U.S. |
| Total Housing Units | 19,562, see rank, 100% | 2,710,506 | 131,642,457 |
| Occupied Housing Units | 16,615, 84.94%, see rank | 87.00% | 87.53% |
| Owner Occupied | 10,546, 53.91%, see rank | 60.00% | 57.34% |
| Renter Occupied | 6,069, 31.02%, see rank | 27.00% | 30.19% |
| Vacant Housing Units | 2,947, 15.06%, see rank | 13.00% | 12.47% |
| For Rent | 739, 3.78%, see rank | 2.33% | 2.50% |
| For Sale Only | 387, 1.98%, see rank | 1.54% | 1.38% |
| Rented or Sold, Not Occupied | 127, 0.65%, see rank | 0.81% | 0.91% |
| For Seasonal, Recreational, or Occasional Use | 512, 2.62%, see rank | 3.11% | 3.81% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 1,182, 6.04%, see rank | 5.20% | 3.84% |
ACS 2006-2010 data
| | Rolla Area | Missouri | U.S. |
| Total Housing Units | 19,337, see rank, 100% | 2,687,610 | 130,038,080 |
| Occupied Housing Units | 16,726, 86.50%, see rank | 87.44% | 87.85% |
| Owner Occupied | 10,960, 56.68%, see rank | 61.21% | 58.51% |
| Renter Occupied | 5,766, 29.82%, see rank | 26.23% | 29.33% |
| Vacant Housing Units | 2,611, 13.50%, see rank | 12.56% | 12.15% |
| For Rent | 765, 3.96%, see rank | 2.36% | 2.53% |
| For Sale Only | 192, 0.99%, see rank | 1.57% | 1.45% |
| Rented or Sold, Not Occupied | 72, 0.37%, see rank | 0.83% | 0.95% |
| For Seasonal, Recreational, or Occasional Use | 538, 2.78%, see rank | 2.91% | 3.60% |
| For Migrant Workers | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Vacant | 1,044, 5.40%, see rank | 4.88% | 3.59% |
ACS 2005-2009 data
| | Rolla Area | Missouri | U.S. |
| Total Housing Units | 19,137, see rank, 100% | 2,648,248 | 127,699,712 |
| Occupied Housing Units | 16,713, 87.33%, see rank | 87.69% | 88.18% |
| Owner Occupied | 10,800, 56.44%, see rank | 61.66% | 58.98% |
| Renter Occupied | 5,913, 30.90%, see rank | 26.02% | 29.20% |
| Vacant Housing Units | 2,424, 12.67%, see rank | 12.31% | 11.82% |
| For Rent | 746, 3.90%, see rank | 2.44% | 2.52% |
| For Sale Only | 264, 1.38%, see rank | 1.55% | 1.39% |
| Rented or Sold, Not Occupied | 154, 0.80%, see rank | 0.86% | 0.99% |
| For Seasonal, Recreational, or Occasional Use | 486, 2.54%, see rank | 2.74% | 3.45% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 774, 4.04%, see rank | 4.70% | 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.
