33756 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 33756 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 4,945, 100% | 2,322,949 | 39,201,928 |
$199 or Less | 46, 0.93%, see rank | 1.03% | 1.50% |
$200 to $299 | 212, 4.29%, see rank | 1.85% | 3.18% |
$300 to $499 | 350, 7.08%, see rank | 3.93% | 7.37% |
$500 to $699 | 1,103, 22.31%, see rank | 11.03% | 16.01% |
$700 to $999 | 1,717, 34.72%, see rank | 32.44% | 29.17% |
$1,000 to $1,499 | 992, 20.06%, see rank | 34.44% | 26.88% |
$1,500 to $1,999 | 377, 7.62%, see rank | 10.35% | 9.79% |
$2,000 or More | 148, 2.99%, see rank | 4.93% | 6.10% |
Median | $840, see rank | $998 | $920 |
ACS 2008-2012 data
Monthly Rental | 33756 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 4,477, 100% | 2,165,931 | 37,562,111 |
$199 or Less | 69, 1.54%, see rank | 1.21% | 1.76% |
$200 to $299 | 121, 2.70%, see rank | 1.91% | 3.29% |
$300 to $499 | 331, 7.39%, see rank | 4.17% | 8.20% |
$500 to $699 | 885, 19.77%, see rank | 11.61% | 17.39% |
$700 to $999 | 1,613, 36.03%, see rank | 32.62% | 29.40% |
$1,000 to $1,499 | 1,086, 24.26%, see rank | 34.12% | 25.73% |
$1,500 to $1,999 | 240, 5.36%, see rank | 9.83% | 8.92% |
$2,000 or More | 132, 2.95%, see rank | 4.53% | 5.30% |
Median | $855, see rank | $987 | $889 |
US Census 2000 data
Monthly Rental | 33756 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 4,157, 100% | 1,800,989 | 33,386,326 |
$199 or Less | 311, 7.48%, see rank | 4.00% | 5.52% |
$200 to $299 | 259, 6.23%, see rank | 3.59% | 5.45% |
$300 to $499 | 1,249, 30.05%, see rank | 19.29% | 23.18% |
$500 to $699 | 1,283, 30.86%, see rank | 32.76% | 29.57% |
$700 to $999 | 685, 16.48%, see rank | 29.16% | 24.06% |
$1,000 to $1,499 | 192, 4.62%, see rank | 8.64% | 9.15% |
$1,500 to $1,999 | 134, 3.22%, see rank | 1.66% | 2.05% |
$2,000 or More | 44, 1.06%, see rank | 0.91% | 1.02% |
Median | $527, 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.