33050 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 33050 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 1,221, 100% | 2,322,949 | 39,201,928 |
$199 or Less | 9, 0.74%, see rank | 1.03% | 1.50% |
$200 to $299 | 9, 0.74%, see rank | 1.85% | 3.18% |
$300 to $499 | 32, 2.62%, see rank | 3.93% | 7.37% |
$500 to $699 | 92, 7.53%, see rank | 11.03% | 16.01% |
$700 to $999 | 245, 20.07%, see rank | 32.44% | 29.17% |
$1,000 to $1,499 | 589, 48.24%, see rank | 34.44% | 26.88% |
$1,500 to $1,999 | 131, 10.73%, see rank | 10.35% | 9.79% |
$2,000 or More | 114, 9.34%, see rank | 4.93% | 6.10% |
Median | $1,188, see rank | $998 | $920 |
ACS 2008-2012 data
Monthly Rental | 33050 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 1,311, 100% | 2,165,931 | 37,562,111 |
$199 or Less | 0, 0.00%, see rank | 1.21% | 1.76% |
$200 to $299 | 11, 0.84%, see rank | 1.91% | 3.29% |
$300 to $499 | 77, 5.87%, see rank | 4.17% | 8.20% |
$500 to $699 | 194, 14.80%, see rank | 11.61% | 17.39% |
$700 to $999 | 237, 18.08%, see rank | 32.62% | 29.40% |
$1,000 to $1,499 | 493, 37.60%, see rank | 34.12% | 25.73% |
$1,500 to $1,999 | 191, 14.57%, see rank | 9.83% | 8.92% |
$2,000 or More | 108, 8.24%, see rank | 4.53% | 5.30% |
Median | $1,121, see rank | $987 | $889 |
US Census 2000 data
Monthly Rental | 33050 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 1,739, 100% | 1,800,989 | 33,386,326 |
$199 or Less | 41, 2.36%, see rank | 4.00% | 5.52% |
$200 to $299 | 30, 1.73%, see rank | 3.59% | 5.45% |
$300 to $499 | 278, 15.99%, see rank | 19.29% | 23.18% |
$500 to $699 | 461, 26.51%, see rank | 32.76% | 29.57% |
$700 to $999 | 645, 37.09%, see rank | 29.16% | 24.06% |
$1,000 to $1,499 | 259, 14.89%, see rank | 8.64% | 9.15% |
$1,500 to $1,999 | 11, 0.63%, see rank | 1.66% | 2.05% |
$2,000 or More | 14, 0.81%, see rank | 0.91% | 1.02% |
Median | $719, 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.