Valley Micro Area Historical House Occupancy Status Data
ACS 2010-2014 data
| | Valley Area | Alabama | U.S. |
| Total Housing Units | 16,944, see rank, 100% | 2,190,638 | 132,741,033 |
| Occupied Housing Units | 13,901, 82.04%, see rank | 84.09% | 87.55% |
| Owner Occupied | 9,331, 55.07%, see rank | 58.17% | 56.34% |
| Renter Occupied | 4,570, 26.97%, see rank | 25.93% | 31.21% |
| Vacant Housing Units | 3,043, 17.96%, see rank | 15.91% | 12.45% |
| For Rent | 590, 3.48%, see rank | 2.61% | 2.34% |
| For Sale Only | 378, 2.23%, see rank | 1.54% | 1.20% |
| Rented or Sold, Not Occupied | 71, 0.42%, see rank | 1.25% | 0.92% |
| For Seasonal, Recreational, or Occasional Use | 670, 3.95%, see rank | 3.76% | 3.97% |
| For Migrant Workers | 0, 0.00%, see rank | 0.03% | 0.03% |
| Other Vacant | 1,334, 7.87%, see rank | 6.71% | 4.00% |
US Census 2010 data
| | Valley Area | Alabama | U.S. |
| Total Housing Units | 17,004, see rank, 100% | 2,171,853 | 131,704,730 |
| Occupied Housing Units | 13,933, 81.94%, see rank | 86.74% | 88.62% |
| Owner Occupied | 9,843, 57.89%, see rank | 60.44% | 57.69% |
| Renter Occupied | 4,090, 24.05%, see rank | 26.30% | 30.93% |
| Vacant Housing Units | 3,071, 18.06%, see rank | 13.26% | 11.38% |
| For Rent | 1,336, 7.86%, see rank | 3.65% | 3.14% |
| For Sale Only | 283, 1.66%, see rank | 1.65% | 1.44% |
| Rented or Sold, Not Occupied | 96, 0.56%, see rank | 0.60% | 0.48% |
| For Seasonal, Recreational, or Occasional Use | 288, 1.69%, see rank | 2.94% | 3.53% |
| For Migrant Workers | 2, 0.01%, see rank | 0.01% | 0.02% |
| Other Vacant | 1,066, 6.27%, see rank | 4.41% | 2.77% |
ACS 2008-2012 data
| | Valley Area | Alabama | U.S. |
| Total Housing Units | 17,000, see rank, 100% | 2,172,647 | 131,642,457 |
| Occupied Housing Units | 13,634, 80.20%, see rank | 84.58% | 87.53% |
| Owner Occupied | 9,439, 55.52%, see rank | 59.34% | 57.34% |
| Renter Occupied | 4,195, 24.68%, see rank | 25.23% | 30.19% |
| Vacant Housing Units | 3,366, 19.80%, see rank | 15.42% | 12.47% |
| For Rent | 727, 4.28%, see rank | 2.54% | 2.50% |
| For Sale Only | 451, 2.65%, see rank | 1.52% | 1.38% |
| Rented or Sold, Not Occupied | 176, 1.04%, see rank | 1.15% | 0.91% |
| For Seasonal, Recreational, or Occasional Use | 461, 2.71%, see rank | 3.66% | 3.81% |
| For Migrant Workers | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Vacant | 1,551, 9.12%, see rank | 6.53% | 3.84% |
ACS 2006-2010 data
| | Valley Area | Alabama | U.S. |
| Total Housing Units | 16,794, see rank, 100% | 2,146,513 | 130,038,080 |
| Occupied Housing Units | 13,681, 81.46%, see rank | 84.85% | 87.85% |
| Owner Occupied | 9,764, 58.14%, see rank | 60.35% | 58.51% |
| Renter Occupied | 3,917, 23.32%, see rank | 24.50% | 29.33% |
| Vacant Housing Units | 3,113, 18.54%, see rank | 15.15% | 12.15% |
| For Rent | 472, 2.81%, see rank | 2.60% | 2.53% |
| For Sale Only | 372, 2.22%, see rank | 1.47% | 1.45% |
| Rented or Sold, Not Occupied | 185, 1.10%, see rank | 1.13% | 0.95% |
| For Seasonal, Recreational, or Occasional Use | 325, 1.94%, see rank | 3.34% | 3.60% |
| For Migrant Workers | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Vacant | 1,759, 10.47%, see rank | 6.60% | 3.59% |
ACS 2005-2009 data
| | Valley Area | Alabama | U.S. |
| Total Housing Units | 16,846, see rank, 100% | 2,139,970 | 127,699,712 |
| Occupied Housing Units | 13,672, 81.16%, see rank | 85.02% | 88.18% |
| Owner Occupied | 10,020, 59.48%, see rank | 60.16% | 58.98% |
| Renter Occupied | 3,652, 21.68%, see rank | 24.86% | 29.20% |
| Vacant Housing Units | 3,174, 18.84%, see rank | 14.98% | 11.82% |
| For Rent | 281, 1.67%, see rank | 2.66% | 2.52% |
| For Sale Only | 274, 1.63%, see rank | 1.41% | 1.39% |
| Rented or Sold, Not Occupied | 193, 1.15%, see rank | 1.15% | 0.99% |
| For Seasonal, Recreational, or Occasional Use | 530, 3.15%, see rank | 3.14% | 3.45% |
| For Migrant Workers | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Vacant | 1,896, 11.25%, see rank | 6.59% | 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.
