33315 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 33315 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 2,672, 100% | 2,322,949 | 39,201,928 |
$199 or Less | 32, 1.20%, see rank | 1.03% | 1.50% |
$200 to $299 | 51, 1.91%, see rank | 1.85% | 3.18% |
$300 to $499 | 109, 4.08%, see rank | 3.93% | 7.37% |
$500 to $699 | 138, 5.16%, see rank | 11.03% | 16.01% |
$700 to $999 | 754, 28.22%, see rank | 32.44% | 29.17% |
$1,000 to $1,499 | 1,056, 39.52%, see rank | 34.44% | 26.88% |
$1,500 to $1,999 | 337, 12.61%, see rank | 10.35% | 9.79% |
$2,000 or More | 195, 7.30%, see rank | 4.93% | 6.10% |
Median | $1,093, see rank | $998 | $920 |
ACS 2008-2012 data
Monthly Rental | 33315 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 2,495, 100% | 2,165,931 | 37,562,111 |
$199 or Less | 28, 1.12%, see rank | 1.21% | 1.76% |
$200 to $299 | 0, 0.00%, see rank | 1.91% | 3.29% |
$300 to $499 | 108, 4.33%, see rank | 4.17% | 8.20% |
$500 to $699 | 97, 3.89%, see rank | 11.61% | 17.39% |
$700 to $999 | 732, 29.34%, see rank | 32.62% | 29.40% |
$1,000 to $1,499 | 1,113, 44.61%, see rank | 34.12% | 25.73% |
$1,500 to $1,999 | 279, 11.18%, see rank | 9.83% | 8.92% |
$2,000 or More | 138, 5.53%, see rank | 4.53% | 5.30% |
Median | $1,105, see rank | $987 | $889 |
US Census 2000 data
Monthly Rental | 33315 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 2,614, 100% | 1,800,989 | 33,386,326 |
$199 or Less | 79, 3.02%, see rank | 4.00% | 5.52% |
$200 to $299 | 52, 1.99%, see rank | 3.59% | 5.45% |
$300 to $499 | 331, 12.66%, see rank | 19.29% | 23.18% |
$500 to $699 | 856, 32.75%, see rank | 32.76% | 29.57% |
$700 to $999 | 1,069, 40.90%, see rank | 29.16% | 24.06% |
$1,000 to $1,499 | 227, 8.68%, see rank | 8.64% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 1.66% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.91% | 1.02% |
Median | $697, 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.