Miami Micro Area Historical House Occupancy Status Data
ACS 2010-2014 data
| | Miami Area | Oklahoma | U.S. |
| Total Housing Units | 14,057, see rank, 100% | 1,680,457 | 132,741,033 |
| Occupied Housing Units | 11,988, 85.28%, see rank | 86.29% | 87.55% |
| Owner Occupied | 8,558, 60.88%, see rank | 57.40% | 56.34% |
| Renter Occupied | 3,430, 24.40%, see rank | 28.89% | 31.21% |
| Vacant Housing Units | 2,069, 14.72%, see rank | 13.71% | 12.45% |
| For Rent | 260, 1.85%, see rank | 2.61% | 2.34% |
| For Sale Only | 266, 1.89%, see rank | 1.34% | 1.20% |
| Rented or Sold, Not Occupied | 95, 0.68%, see rank | 1.05% | 0.92% |
| For Seasonal, Recreational, or Occasional Use | 357, 2.54%, see rank | 2.34% | 3.97% |
| For Migrant Workers | 3, 0.02%, see rank | 0.05% | 0.03% |
| Other Vacant | 1,088, 7.74%, see rank | 6.33% | 4.00% |
US Census 2010 data
| | Miami Area | Oklahoma | U.S. |
| Total Housing Units | 14,060, see rank, 100% | 1,664,378 | 131,704,730 |
| Occupied Housing Units | 12,345, 87.80%, see rank | 87.75% | 88.62% |
| Owner Occupied | 8,993, 63.96%, see rank | 58.99% | 57.69% |
| Renter Occupied | 3,352, 23.84%, see rank | 28.76% | 30.93% |
| Vacant Housing Units | 1,715, 12.20%, see rank | 12.25% | 11.38% |
| For Rent | 301, 2.14%, see rank | 3.56% | 3.14% |
| For Sale Only | 189, 1.34%, see rank | 1.36% | 1.44% |
| Rented or Sold, Not Occupied | 118, 0.84%, see rank | 0.67% | 0.48% |
| For Seasonal, Recreational, or Occasional Use | 295, 2.10%, see rank | 2.11% | 3.53% |
| For Migrant Workers | 3, 0.02%, see rank | 0.02% | 0.02% |
| Other Vacant | 809, 5.75%, see rank | 4.53% | 2.77% |
ACS 2008-2012 data
| | Miami Area | Oklahoma | U.S. |
| Total Housing Units | 14,116, see rank, 100% | 1,664,404 | 131,642,457 |
| Occupied Housing Units | 12,137, 85.98%, see rank | 86.47% | 87.53% |
| Owner Occupied | 8,938, 63.32%, see rank | 58.34% | 57.34% |
| Renter Occupied | 3,199, 22.66%, see rank | 28.13% | 30.19% |
| Vacant Housing Units | 1,979, 14.02%, see rank | 13.53% | 12.47% |
| For Rent | 240, 1.70%, see rank | 2.61% | 2.50% |
| For Sale Only | 235, 1.66%, see rank | 1.40% | 1.38% |
| Rented or Sold, Not Occupied | 93, 0.66%, see rank | 1.08% | 0.91% |
| For Seasonal, Recreational, or Occasional Use | 394, 2.79%, see rank | 2.41% | 3.81% |
| For Migrant Workers | 3, 0.02%, see rank | 0.03% | 0.03% |
| Other Vacant | 1,014, 7.18%, see rank | 6.00% | 3.84% |
ACS 2006-2010 data
| | Miami Area | Oklahoma | U.S. |
| Total Housing Units | 14,253, see rank, 100% | 1,644,228 | 130,038,080 |
| Occupied Housing Units | 12,164, 85.34%, see rank | 86.47% | 87.85% |
| Owner Occupied | 9,121, 63.99%, see rank | 58.99% | 58.51% |
| Renter Occupied | 3,043, 21.35%, see rank | 27.47% | 29.33% |
| Vacant Housing Units | 2,089, 14.66%, see rank | 13.53% | 12.15% |
| For Rent | 299, 2.10%, see rank | 2.70% | 2.53% |
| For Sale Only | 241, 1.69%, see rank | 1.42% | 1.45% |
| Rented or Sold, Not Occupied | 153, 1.07%, see rank | 1.09% | 0.95% |
| For Seasonal, Recreational, or Occasional Use | 390, 2.74%, see rank | 2.38% | 3.60% |
| For Migrant Workers | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Vacant | 1,006, 7.06%, see rank | 5.92% | 3.59% |
ACS 2005-2009 data
| | Miami Area | Oklahoma | U.S. |
| Total Housing Units | 15,313, see rank, 100% | 1,624,039 | 127,699,712 |
| Occupied Housing Units | 13,066, 85.33%, see rank | 86.51% | 88.18% |
| Owner Occupied | 9,674, 63.18%, see rank | 58.76% | 58.98% |
| Renter Occupied | 3,392, 22.15%, see rank | 27.76% | 29.20% |
| Vacant Housing Units | 2,247, 14.67%, see rank | 13.49% | 11.82% |
| For Rent | 355, 2.32%, see rank | 2.85% | 2.52% |
| For Sale Only | 300, 1.96%, see rank | 1.44% | 1.39% |
| Rented or Sold, Not Occupied | 217, 1.42%, see rank | 1.12% | 0.99% |
| For Seasonal, Recreational, or Occasional Use | 475, 3.10%, see rank | 2.24% | 3.45% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 900, 5.88%, see rank | 5.83% | 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.
