33764 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 33764 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 3,271, 100% | 2,322,949 | 39,201,928 |
$199 or Less | 0, 0.00%, see rank | 1.03% | 1.50% |
$200 to $299 | 24, 0.73%, see rank | 1.85% | 3.18% |
$300 to $499 | 45, 1.38%, see rank | 3.93% | 7.37% |
$500 to $699 | 389, 11.89%, see rank | 11.03% | 16.01% |
$700 to $999 | 1,270, 38.83%, see rank | 32.44% | 29.17% |
$1,000 to $1,499 | 1,097, 33.54%, see rank | 34.44% | 26.88% |
$1,500 to $1,999 | 353, 10.79%, see rank | 10.35% | 9.79% |
$2,000 or More | 93, 2.84%, see rank | 4.93% | 6.10% |
Median | $974, see rank | $998 | $920 |
ACS 2008-2012 data
Monthly Rental | 33764 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 3,202, 100% | 2,165,931 | 37,562,111 |
$199 or Less | 9, 0.28%, see rank | 1.21% | 1.76% |
$200 to $299 | 18, 0.56%, see rank | 1.91% | 3.29% |
$300 to $499 | 46, 1.44%, see rank | 4.17% | 8.20% |
$500 to $699 | 662, 20.67%, see rank | 11.61% | 17.39% |
$700 to $999 | 927, 28.95%, see rank | 32.62% | 29.40% |
$1,000 to $1,499 | 1,203, 37.57%, see rank | 34.12% | 25.73% |
$1,500 to $1,999 | 298, 9.31%, see rank | 9.83% | 8.92% |
$2,000 or More | 39, 1.22%, see rank | 4.53% | 5.30% |
Median | $971, see rank | $987 | $889 |
US Census 2000 data
Monthly Rental | 33764 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 2,599, 100% | 1,800,989 | 33,386,326 |
$199 or Less | 0, 0.00%, see rank | 4.00% | 5.52% |
$200 to $299 | 43, 1.65%, see rank | 3.59% | 5.45% |
$300 to $499 | 340, 13.08%, see rank | 19.29% | 23.18% |
$500 to $699 | 1,150, 44.25%, see rank | 32.76% | 29.57% |
$700 to $999 | 789, 30.36%, see rank | 29.16% | 24.06% |
$1,000 to $1,499 | 232, 8.93%, see rank | 8.64% | 9.15% |
$1,500 to $1,999 | 45, 1.73%, see rank | 1.66% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.91% | 1.02% |
Median | $666, 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.