33025 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 33025 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 10,306, 100% | 2,322,949 | 39,201,928 |
$199 or Less | 40, 0.39%, see rank | 1.03% | 1.50% |
$200 to $299 | 72, 0.70%, see rank | 1.85% | 3.18% |
$300 to $499 | 184, 1.79%, see rank | 3.93% | 7.37% |
$500 to $699 | 181, 1.76%, see rank | 11.03% | 16.01% |
$700 to $999 | 999, 9.69%, see rank | 32.44% | 29.17% |
$1,000 to $1,499 | 4,918, 47.72%, see rank | 34.44% | 26.88% |
$1,500 to $1,999 | 3,409, 33.08%, see rank | 10.35% | 9.79% |
$2,000 or More | 503, 4.88%, see rank | 4.93% | 6.10% |
Median | $1,385, see rank | $998 | $920 |
ACS 2008-2012 data
Monthly Rental | 33025 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 9,522, 100% | 2,165,931 | 37,562,111 |
$199 or Less | 29, 0.30%, see rank | 1.21% | 1.76% |
$200 to $299 | 168, 1.76%, see rank | 1.91% | 3.29% |
$300 to $499 | 125, 1.31%, see rank | 4.17% | 8.20% |
$500 to $699 | 288, 3.02%, see rank | 11.61% | 17.39% |
$700 to $999 | 944, 9.91%, see rank | 32.62% | 29.40% |
$1,000 to $1,499 | 4,667, 49.01%, see rank | 34.12% | 25.73% |
$1,500 to $1,999 | 2,814, 29.55%, see rank | 9.83% | 8.92% |
$2,000 or More | 487, 5.11%, see rank | 4.53% | 5.30% |
Median | $1,368, see rank | $987 | $889 |
US Census 2000 data
Monthly Rental | 33025 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 6,462, 100% | 1,800,989 | 33,386,326 |
$199 or Less | 12, 0.19%, see rank | 4.00% | 5.52% |
$200 to $299 | 48, 0.74%, see rank | 3.59% | 5.45% |
$300 to $499 | 90, 1.39%, see rank | 19.29% | 23.18% |
$500 to $699 | 415, 6.42%, see rank | 32.76% | 29.57% |
$700 to $999 | 3,780, 58.50%, see rank | 29.16% | 24.06% |
$1,000 to $1,499 | 2,029, 31.40%, see rank | 8.64% | 9.15% |
$1,500 to $1,999 | 78, 1.21%, see rank | 1.66% | 2.05% |
$2,000 or More | 10, 0.15%, see rank | 0.91% | 1.02% |
Median | $924, 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.