35816 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 35816 Zip Code | Alabama | U.S. |
Occupied Units Paying Rent | 4,565, 100% | 505,136 | 39,201,928 |
$199 or Less | 62, 1.36%, see rank | 2.18% | 1.50% |
$200 to $299 | 224, 4.91%, see rank | 5.01% | 3.18% |
$300 to $499 | 682, 14.94%, see rank | 14.15% | 7.37% |
$500 to $699 | 2,031, 44.49%, see rank | 26.64% | 16.01% |
$700 to $999 | 1,367, 29.95%, see rank | 32.35% | 29.17% |
$1,000 to $1,499 | 199, 4.36%, see rank | 15.87% | 26.88% |
$1,500 to $1,999 | 0, 0.00%, see rank | 2.54% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 1.26% | 6.10% |
Median | $632, see rank | $715 | $920 |
ACS 2008-2012 data
Monthly Rental | 35816 Zip Code | Alabama | U.S. |
Occupied Units Paying Rent | 4,398, 100% | 485,188 | 37,562,111 |
$199 or Less | 94, 2.14%, see rank | 2.70% | 1.76% |
$200 to $299 | 204, 4.64%, see rank | 5.13% | 3.29% |
$300 to $499 | 726, 16.51%, see rank | 15.81% | 8.20% |
$500 to $699 | 1,808, 41.11%, see rank | 27.61% | 17.39% |
$700 to $999 | 1,352, 30.74%, see rank | 31.32% | 29.40% |
$1,000 to $1,499 | 197, 4.48%, see rank | 14.32% | 25.73% |
$1,500 to $1,999 | 0, 0.00%, see rank | 2.06% | 8.92% |
$2,000 or More | 17, 0.39%, see rank | 1.07% | 5.30% |
Median | $614, see rank | $691 | $889 |
US Census 2000 data
Monthly Rental | 35816 Zip Code | Alabama | U.S. |
Occupied Units Paying Rent | 4,394, 100% | 420,180 | 33,386,326 |
$199 or Less | 356, 8.10%, see rank | 11.20% | 5.52% |
$200 to $299 | 198, 4.51%, see rank | 11.43% | 5.45% |
$300 to $499 | 1,992, 45.33%, see rank | 38.04% | 23.18% |
$500 to $699 | 1,534, 34.91%, see rank | 26.14% | 29.57% |
$700 to $999 | 288, 6.55%, see rank | 10.45% | 24.06% |
$1,000 to $1,499 | 20, 0.46%, see rank | 2.17% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.43% | 2.05% |
$2,000 or More | 6, 0.14%, see rank | 0.15% | 1.02% |
Median | $473, 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.