33755 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 33755 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 3,838, 100% | 2,322,949 | 39,201,928 |
$199 or Less | 38, 0.99%, see rank | 1.03% | 1.50% |
$200 to $299 | 61, 1.59%, see rank | 1.85% | 3.18% |
$300 to $499 | 105, 2.74%, see rank | 3.93% | 7.37% |
$500 to $699 | 753, 19.62%, see rank | 11.03% | 16.01% |
$700 to $999 | 1,092, 28.45%, see rank | 32.44% | 29.17% |
$1,000 to $1,499 | 1,325, 34.52%, see rank | 34.44% | 26.88% |
$1,500 to $1,999 | 344, 8.96%, see rank | 10.35% | 9.79% |
$2,000 or More | 120, 3.13%, see rank | 4.93% | 6.10% |
Median | $963, see rank | $998 | $920 |
ACS 2008-2012 data
Monthly Rental | 33755 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 3,690, 100% | 2,165,931 | 37,562,111 |
$199 or Less | 33, 0.89%, see rank | 1.21% | 1.76% |
$200 to $299 | 24, 0.65%, see rank | 1.91% | 3.29% |
$300 to $499 | 69, 1.87%, see rank | 4.17% | 8.20% |
$500 to $699 | 711, 19.27%, see rank | 11.61% | 17.39% |
$700 to $999 | 1,369, 37.10%, see rank | 32.62% | 29.40% |
$1,000 to $1,499 | 1,003, 27.18%, see rank | 34.12% | 25.73% |
$1,500 to $1,999 | 403, 10.92%, see rank | 9.83% | 8.92% |
$2,000 or More | 78, 2.11%, see rank | 4.53% | 5.30% |
Median | $919, see rank | $987 | $889 |
US Census 2000 data
Monthly Rental | 33755 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 4,051, 100% | 1,800,989 | 33,386,326 |
$199 or Less | 175, 4.32%, see rank | 4.00% | 5.52% |
$200 to $299 | 161, 3.97%, see rank | 3.59% | 5.45% |
$300 to $499 | 1,182, 29.18%, see rank | 19.29% | 23.18% |
$500 to $699 | 1,648, 40.68%, see rank | 32.76% | 29.57% |
$700 to $999 | 705, 17.40%, see rank | 29.16% | 24.06% |
$1,000 to $1,499 | 172, 4.25%, see rank | 8.64% | 9.15% |
$1,500 to $1,999 | 8, 0.20%, see rank | 1.66% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.91% | 1.02% |
Median | $554, 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.