35020 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 35020 Zip Code | Alabama | U.S. |
Occupied Units Paying Rent | 3,959, 100% | 505,136 | 39,201,928 |
$199 or Less | 111, 2.80%, see rank | 2.18% | 1.50% |
$200 to $299 | 335, 8.46%, see rank | 5.01% | 3.18% |
$300 to $499 | 827, 20.89%, see rank | 14.15% | 7.37% |
$500 to $699 | 845, 21.34%, see rank | 26.64% | 16.01% |
$700 to $999 | 1,298, 32.79%, see rank | 32.35% | 29.17% |
$1,000 to $1,499 | 512, 12.93%, see rank | 15.87% | 26.88% |
$1,500 to $1,999 | 31, 0.78%, see rank | 2.54% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 1.26% | 6.10% |
Median | $673, see rank | $715 | $920 |
ACS 2008-2012 data
Monthly Rental | 35020 Zip Code | Alabama | U.S. |
Occupied Units Paying Rent | 4,162, 100% | 485,188 | 37,562,111 |
$199 or Less | 133, 3.20%, see rank | 2.70% | 1.76% |
$200 to $299 | 466, 11.20%, see rank | 5.13% | 3.29% |
$300 to $499 | 864, 20.76%, see rank | 15.81% | 8.20% |
$500 to $699 | 842, 20.23%, see rank | 27.61% | 17.39% |
$700 to $999 | 1,336, 32.10%, see rank | 31.32% | 29.40% |
$1,000 to $1,499 | 479, 11.51%, see rank | 14.32% | 25.73% |
$1,500 to $1,999 | 42, 1.01%, see rank | 2.06% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 1.07% | 5.30% |
Median | $634, see rank | $691 | $889 |
US Census 2000 data
Monthly Rental | 35020 Zip Code | Alabama | U.S. |
Occupied Units Paying Rent | 4,240, 100% | 420,180 | 33,386,326 |
$199 or Less | 785, 18.51%, see rank | 11.20% | 5.52% |
$200 to $299 | 717, 16.91%, see rank | 11.43% | 5.45% |
$300 to $499 | 1,608, 37.92%, see rank | 38.04% | 23.18% |
$500 to $699 | 851, 20.07%, see rank | 26.14% | 29.57% |
$700 to $999 | 239, 5.64%, see rank | 10.45% | 24.06% |
$1,000 to $1,499 | 34, 0.80%, see rank | 2.17% | 9.15% |
$1,500 to $1,999 | 6, 0.14%, see rank | 0.43% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.15% | 1.02% |
Median | $376, 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.