33160 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 33160 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 7,180, 100% | 2,322,949 | 39,201,928 |
$199 or Less | 27, 0.38%, see rank | 1.03% | 1.50% |
$200 to $299 | 306, 4.26%, see rank | 1.85% | 3.18% |
$300 to $499 | 31, 0.43%, see rank | 3.93% | 7.37% |
$500 to $699 | 73, 1.02%, see rank | 11.03% | 16.01% |
$700 to $999 | 1,249, 17.40%, see rank | 32.44% | 29.17% |
$1,000 to $1,499 | 2,857, 39.79%, see rank | 34.44% | 26.88% |
$1,500 to $1,999 | 1,685, 23.47%, see rank | 10.35% | 9.79% |
$2,000 or More | 952, 13.26%, see rank | 4.93% | 6.10% |
Median | $1,334, see rank | $998 | $920 |
ACS 2008-2012 data
Monthly Rental | 33160 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 6,851, 100% | 2,165,931 | 37,562,111 |
$199 or Less | 182, 2.66%, see rank | 1.21% | 1.76% |
$200 to $299 | 101, 1.47%, see rank | 1.91% | 3.29% |
$300 to $499 | 19, 0.28%, see rank | 4.17% | 8.20% |
$500 to $699 | 126, 1.84%, see rank | 11.61% | 17.39% |
$700 to $999 | 1,356, 19.79%, see rank | 32.62% | 29.40% |
$1,000 to $1,499 | 2,815, 41.09%, see rank | 34.12% | 25.73% |
$1,500 to $1,999 | 1,476, 21.54%, see rank | 9.83% | 8.92% |
$2,000 or More | 776, 11.33%, see rank | 4.53% | 5.30% |
Median | $1,304, see rank | $987 | $889 |
US Census 2000 data
Monthly Rental | 33160 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 6,501, 100% | 1,800,989 | 33,386,326 |
$199 or Less | 176, 2.71%, see rank | 4.00% | 5.52% |
$200 to $299 | 100, 1.54%, see rank | 3.59% | 5.45% |
$300 to $499 | 201, 3.09%, see rank | 19.29% | 23.18% |
$500 to $699 | 1,022, 15.72%, see rank | 32.76% | 29.57% |
$700 to $999 | 2,528, 38.89%, see rank | 29.16% | 24.06% |
$1,000 to $1,499 | 1,900, 29.23%, see rank | 8.64% | 9.15% |
$1,500 to $1,999 | 386, 5.94%, see rank | 1.66% | 2.05% |
$2,000 or More | 188, 2.89%, see rank | 0.91% | 1.02% |
Median | $890, 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.