33523 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 33523 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 1,877, 100% | 2,322,949 | 39,201,928 |
$199 or Less | 132, 7.03%, see rank | 1.03% | 1.50% |
$200 to $299 | 96, 5.11%, see rank | 1.85% | 3.18% |
$300 to $499 | 120, 6.39%, see rank | 3.93% | 7.37% |
$500 to $699 | 411, 21.90%, see rank | 11.03% | 16.01% |
$700 to $999 | 617, 32.87%, see rank | 32.44% | 29.17% |
$1,000 to $1,499 | 418, 22.27%, see rank | 34.44% | 26.88% |
$1,500 to $1,999 | 36, 1.92%, see rank | 10.35% | 9.79% |
$2,000 or More | 47, 2.50%, see rank | 4.93% | 6.10% |
Median | $785, see rank | $998 | $920 |
ACS 2008-2012 data
Monthly Rental | 33523 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 1,716, 100% | 2,165,931 | 37,562,111 |
$199 or Less | 44, 2.56%, see rank | 1.21% | 1.76% |
$200 to $299 | 104, 6.06%, see rank | 1.91% | 3.29% |
$300 to $499 | 197, 11.48%, see rank | 4.17% | 8.20% |
$500 to $699 | 469, 27.33%, see rank | 11.61% | 17.39% |
$700 to $999 | 470, 27.39%, see rank | 32.62% | 29.40% |
$1,000 to $1,499 | 282, 16.43%, see rank | 34.12% | 25.73% |
$1,500 to $1,999 | 95, 5.54%, see rank | 9.83% | 8.92% |
$2,000 or More | 55, 3.21%, see rank | 4.53% | 5.30% |
Median | $726, see rank | $987 | $889 |
US Census 2000 data
Monthly Rental | 33523 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 1,510, 100% | 1,800,989 | 33,386,326 |
$199 or Less | 105, 6.95%, see rank | 4.00% | 5.52% |
$200 to $299 | 156, 10.33%, see rank | 3.59% | 5.45% |
$300 to $499 | 750, 49.67%, see rank | 19.29% | 23.18% |
$500 to $699 | 204, 13.51%, see rank | 32.76% | 29.57% |
$700 to $999 | 65, 4.30%, see rank | 29.16% | 24.06% |
$1,000 to $1,499 | 70, 4.64%, see rank | 8.64% | 9.15% |
$1,500 to $1,999 | 160, 10.60%, see rank | 1.66% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.91% | 1.02% |
Median | $415, 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.