33162 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 33162 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 5,612, 100% | 2,322,949 | 39,201,928 |
$199 or Less | 74, 1.32%, see rank | 1.03% | 1.50% |
$200 to $299 | 48, 0.86%, see rank | 1.85% | 3.18% |
$300 to $499 | 69, 1.23%, see rank | 3.93% | 7.37% |
$500 to $699 | 306, 5.45%, see rank | 11.03% | 16.01% |
$700 to $999 | 2,390, 42.59%, see rank | 32.44% | 29.17% |
$1,000 to $1,499 | 1,862, 33.18%, see rank | 34.44% | 26.88% |
$1,500 to $1,999 | 822, 14.65%, see rank | 10.35% | 9.79% |
$2,000 or More | 41, 0.73%, see rank | 4.93% | 6.10% |
Median | $987, see rank | $998 | $920 |
ACS 2008-2012 data
Monthly Rental | 33162 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 5,161, 100% | 2,165,931 | 37,562,111 |
$199 or Less | 55, 1.07%, see rank | 1.21% | 1.76% |
$200 to $299 | 55, 1.07%, see rank | 1.91% | 3.29% |
$300 to $499 | 138, 2.67%, see rank | 4.17% | 8.20% |
$500 to $699 | 279, 5.41%, see rank | 11.61% | 17.39% |
$700 to $999 | 2,076, 40.22%, see rank | 32.62% | 29.40% |
$1,000 to $1,499 | 1,777, 34.43%, see rank | 34.12% | 25.73% |
$1,500 to $1,999 | 743, 14.40%, see rank | 9.83% | 8.92% |
$2,000 or More | 38, 0.74%, see rank | 4.53% | 5.30% |
Median | $997, see rank | $987 | $889 |
US Census 2000 data
Monthly Rental | 33162 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 4,894, 100% | 1,800,989 | 33,386,326 |
$199 or Less | 28, 0.57%, see rank | 4.00% | 5.52% |
$200 to $299 | 61, 1.25%, see rank | 3.59% | 5.45% |
$300 to $499 | 464, 9.48%, see rank | 19.29% | 23.18% |
$500 to $699 | 2,781, 56.82%, see rank | 32.76% | 29.57% |
$700 to $999 | 1,234, 25.21%, see rank | 29.16% | 24.06% |
$1,000 to $1,499 | 289, 5.91%, see rank | 8.64% | 9.15% |
$1,500 to $1,999 | 37, 0.76%, see rank | 1.66% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.91% | 1.02% |
Median | $640, 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.