33711 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 33711 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 2,716, 100% | 2,322,949 | 39,201,928 |
$199 or Less | 43, 1.58%, see rank | 1.03% | 1.50% |
$200 to $299 | 51, 1.88%, see rank | 1.85% | 3.18% |
$300 to $499 | 223, 8.21%, see rank | 3.93% | 7.37% |
$500 to $699 | 183, 6.74%, see rank | 11.03% | 16.01% |
$700 to $999 | 789, 29.05%, see rank | 32.44% | 29.17% |
$1,000 to $1,499 | 1,095, 40.32%, see rank | 34.44% | 26.88% |
$1,500 to $1,999 | 172, 6.33%, see rank | 10.35% | 9.79% |
$2,000 or More | 160, 5.89%, see rank | 4.93% | 6.10% |
Median | $1,026, see rank | $998 | $920 |
ACS 2008-2012 data
Monthly Rental | 33711 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 2,173, 100% | 2,165,931 | 37,562,111 |
$199 or Less | 37, 1.70%, see rank | 1.21% | 1.76% |
$200 to $299 | 52, 2.39%, see rank | 1.91% | 3.29% |
$300 to $499 | 197, 9.07%, see rank | 4.17% | 8.20% |
$500 to $699 | 216, 9.94%, see rank | 11.61% | 17.39% |
$700 to $999 | 661, 30.42%, see rank | 32.62% | 29.40% |
$1,000 to $1,499 | 756, 34.79%, see rank | 34.12% | 25.73% |
$1,500 to $1,999 | 114, 5.25%, see rank | 9.83% | 8.92% |
$2,000 or More | 140, 6.44%, see rank | 4.53% | 5.30% |
Median | $954, see rank | $987 | $889 |
US Census 2000 data
Monthly Rental | 33711 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 2,186, 100% | 1,800,989 | 33,386,326 |
$199 or Less | 41, 1.88%, see rank | 4.00% | 5.52% |
$200 to $299 | 93, 4.25%, see rank | 3.59% | 5.45% |
$300 to $499 | 563, 25.75%, see rank | 19.29% | 23.18% |
$500 to $699 | 708, 32.39%, see rank | 32.76% | 29.57% |
$700 to $999 | 564, 25.80%, see rank | 29.16% | 24.06% |
$1,000 to $1,499 | 68, 3.11%, see rank | 8.64% | 9.15% |
$1,500 to $1,999 | 100, 4.57%, see rank | 1.66% | 2.05% |
$2,000 or More | 49, 2.24%, see rank | 0.91% | 1.02% |
Median | $613, 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.