36610 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 36610 Zip Code | Alabama | U.S. |
Occupied Units Paying Rent | 1,875, 100% | 505,136 | 39,201,928 |
$199 or Less | 107, 5.71%, see rank | 2.18% | 1.50% |
$200 to $299 | 132, 7.04%, see rank | 5.01% | 3.18% |
$300 to $499 | 314, 16.75%, see rank | 14.15% | 7.37% |
$500 to $699 | 431, 22.99%, see rank | 26.64% | 16.01% |
$700 to $999 | 595, 31.73%, see rank | 32.35% | 29.17% |
$1,000 to $1,499 | 287, 15.31%, see rank | 15.87% | 26.88% |
$1,500 to $1,999 | 0, 0.00%, see rank | 2.54% | 9.79% |
$2,000 or More | 9, 0.48%, see rank | 1.26% | 6.10% |
Median | $683, see rank | $715 | $920 |
ACS 2008-2012 data
Monthly Rental | 36610 Zip Code | Alabama | U.S. |
Occupied Units Paying Rent | 2,018, 100% | 485,188 | 37,562,111 |
$199 or Less | 80, 3.96%, see rank | 2.70% | 1.76% |
$200 to $299 | 135, 6.69%, see rank | 5.13% | 3.29% |
$300 to $499 | 329, 16.30%, see rank | 15.81% | 8.20% |
$500 to $699 | 537, 26.61%, see rank | 27.61% | 17.39% |
$700 to $999 | 628, 31.12%, see rank | 31.32% | 29.40% |
$1,000 to $1,499 | 286, 14.17%, see rank | 14.32% | 25.73% |
$1,500 to $1,999 | 0, 0.00%, see rank | 2.06% | 8.92% |
$2,000 or More | 23, 1.14%, see rank | 1.07% | 5.30% |
Median | $679, see rank | $691 | $889 |
US Census 2000 data
Monthly Rental | 36610 Zip Code | Alabama | U.S. |
Occupied Units Paying Rent | 2,967, 100% | 420,180 | 33,386,326 |
$199 or Less | 543, 18.30%, see rank | 11.20% | 5.52% |
$200 to $299 | 617, 20.80%, see rank | 11.43% | 5.45% |
$300 to $499 | 1,201, 40.48%, see rank | 38.04% | 23.18% |
$500 to $699 | 381, 12.84%, see rank | 26.14% | 29.57% |
$700 to $999 | 166, 5.59%, see rank | 10.45% | 24.06% |
$1,000 to $1,499 | 50, 1.69%, see rank | 2.17% | 9.15% |
$1,500 to $1,999 | 9, 0.30%, see rank | 0.43% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.15% | 1.02% |
Median | $362, see rank | $447 | $602 |
* 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.