32773 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 32773 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 3,040, 100% | 2,322,949 | 39,201,928 |
$199 or Less | 13, 0.43%, see rank | 1.03% | 1.50% |
$200 to $299 | 102, 3.36%, see rank | 1.85% | 3.18% |
$300 to $499 | 173, 5.69%, see rank | 3.93% | 7.37% |
$500 to $699 | 524, 17.24%, see rank | 11.03% | 16.01% |
$700 to $999 | 1,131, 37.20%, see rank | 32.44% | 29.17% |
$1,000 to $1,499 | 775, 25.49%, see rank | 34.44% | 26.88% |
$1,500 to $1,999 | 189, 6.22%, see rank | 10.35% | 9.79% |
$2,000 or More | 133, 4.38%, see rank | 4.93% | 6.10% |
Median | $873, see rank | $998 | $920 |
ACS 2008-2012 data
Monthly Rental | 32773 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 2,879, 100% | 2,165,931 | 37,562,111 |
$199 or Less | 26, 0.90%, see rank | 1.21% | 1.76% |
$200 to $299 | 45, 1.56%, see rank | 1.91% | 3.29% |
$300 to $499 | 187, 6.50%, see rank | 4.17% | 8.20% |
$500 to $699 | 415, 14.41%, see rank | 11.61% | 17.39% |
$700 to $999 | 1,141, 39.63%, see rank | 32.62% | 29.40% |
$1,000 to $1,499 | 809, 28.10%, see rank | 34.12% | 25.73% |
$1,500 to $1,999 | 107, 3.72%, see rank | 9.83% | 8.92% |
$2,000 or More | 149, 5.18%, see rank | 4.53% | 5.30% |
Median | $906, see rank | $987 | $889 |
US Census 2000 data
Monthly Rental | 32773 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 2,938, 100% | 1,800,989 | 33,386,326 |
$199 or Less | 70, 2.38%, see rank | 4.00% | 5.52% |
$200 to $299 | 37, 1.26%, see rank | 3.59% | 5.45% |
$300 to $499 | 463, 15.76%, see rank | 19.29% | 23.18% |
$500 to $699 | 1,218, 41.46%, see rank | 32.76% | 29.57% |
$700 to $999 | 1,076, 36.62%, see rank | 29.16% | 24.06% |
$1,000 to $1,499 | 66, 2.25%, see rank | 8.64% | 9.15% |
$1,500 to $1,999 | 8, 0.27%, see rank | 1.66% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.91% | 1.02% |
Median | $659, 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.