32828 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 32828 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 6,883, 100% | 2,322,949 | 39,201,928 |
$199 or Less | 0, 0.00%, see rank | 1.03% | 1.50% |
$200 to $299 | 24, 0.35%, see rank | 1.85% | 3.18% |
$300 to $499 | 135, 1.96%, see rank | 3.93% | 7.37% |
$500 to $699 | 394, 5.72%, see rank | 11.03% | 16.01% |
$700 to $999 | 1,106, 16.07%, see rank | 32.44% | 29.17% |
$1,000 to $1,499 | 3,499, 50.84%, see rank | 34.44% | 26.88% |
$1,500 to $1,999 | 1,483, 21.55%, see rank | 10.35% | 9.79% |
$2,000 or More | 242, 3.52%, see rank | 4.93% | 6.10% |
Median | $1,267, see rank | $998 | $920 |
ACS 2008-2012 data
Monthly Rental | 32828 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 5,987, 100% | 2,165,931 | 37,562,111 |
$199 or Less | 0, 0.00%, see rank | 1.21% | 1.76% |
$200 to $299 | 23, 0.38%, see rank | 1.91% | 3.29% |
$300 to $499 | 93, 1.55%, see rank | 4.17% | 8.20% |
$500 to $699 | 142, 2.37%, see rank | 11.61% | 17.39% |
$700 to $999 | 1,316, 21.98%, see rank | 32.62% | 29.40% |
$1,000 to $1,499 | 2,810, 46.94%, see rank | 34.12% | 25.73% |
$1,500 to $1,999 | 1,242, 20.74%, see rank | 9.83% | 8.92% |
$2,000 or More | 361, 6.03%, see rank | 4.53% | 5.30% |
Median | $1,188, see rank | $987 | $889 |
US Census 2000 data
Monthly Rental | 32828 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 1,703, 100% | 1,800,989 | 33,386,326 |
$199 or Less | 0, 0.00%, see rank | 4.00% | 5.52% |
$200 to $299 | 26, 1.53%, see rank | 3.59% | 5.45% |
$300 to $499 | 9, 0.53%, see rank | 19.29% | 23.18% |
$500 to $699 | 441, 25.90%, see rank | 32.76% | 29.57% |
$700 to $999 | 845, 49.62%, see rank | 29.16% | 24.06% |
$1,000 to $1,499 | 315, 18.50%, see rank | 8.64% | 9.15% |
$1,500 to $1,999 | 67, 3.93%, see rank | 1.66% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.91% | 1.02% |
Median | $810, see rank | $641 | $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.