33150 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 33150 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 4,876, 100% | 2,322,949 | 39,201,928 |
$199 or Less | 172, 3.53%, see rank | 1.03% | 1.50% |
$200 to $299 | 455, 9.33%, see rank | 1.85% | 3.18% |
$300 to $499 | 419, 8.59%, see rank | 3.93% | 7.37% |
$500 to $699 | 971, 19.91%, see rank | 11.03% | 16.01% |
$700 to $999 | 1,414, 29.00%, see rank | 32.44% | 29.17% |
$1,000 to $1,499 | 1,140, 23.38%, see rank | 34.44% | 26.88% |
$1,500 to $1,999 | 275, 5.64%, see rank | 10.35% | 9.79% |
$2,000 or More | 30, 0.62%, see rank | 4.93% | 6.10% |
Median | $771, see rank | $998 | $920 |
ACS 2008-2012 data
Monthly Rental | 33150 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 4,811, 100% | 2,165,931 | 37,562,111 |
$199 or Less | 164, 3.41%, see rank | 1.21% | 1.76% |
$200 to $299 | 415, 8.63%, see rank | 1.91% | 3.29% |
$300 to $499 | 545, 11.33%, see rank | 4.17% | 8.20% |
$500 to $699 | 1,065, 22.14%, see rank | 11.61% | 17.39% |
$700 to $999 | 1,425, 29.62%, see rank | 32.62% | 29.40% |
$1,000 to $1,499 | 912, 18.96%, see rank | 34.12% | 25.73% |
$1,500 to $1,999 | 250, 5.20%, see rank | 9.83% | 8.92% |
$2,000 or More | 35, 0.73%, see rank | 4.53% | 5.30% |
Median | $741, see rank | $987 | $889 |
US Census 2000 data
Monthly Rental | 33150 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 4,718, 100% | 1,800,989 | 33,386,326 |
$199 or Less | 597, 12.65%, see rank | 4.00% | 5.52% |
$200 to $299 | 465, 9.86%, see rank | 3.59% | 5.45% |
$300 to $499 | 1,669, 35.38%, see rank | 19.29% | 23.18% |
$500 to $699 | 1,333, 28.25%, see rank | 32.76% | 29.57% |
$700 to $999 | 536, 11.36%, see rank | 29.16% | 24.06% |
$1,000 to $1,499 | 105, 2.23%, see rank | 8.64% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 1.66% | 2.05% |
$2,000 or More | 13, 0.28%, see rank | 0.91% | 1.02% |
Median | $464, 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.