32073 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 32073 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 5,110, 100% | 2,322,949 | 39,201,928 |
$199 or Less | 32, 0.63%, see rank | 1.03% | 1.50% |
$200 to $299 | 17, 0.33%, see rank | 1.85% | 3.18% |
$300 to $499 | 66, 1.29%, see rank | 3.93% | 7.37% |
$500 to $699 | 299, 5.85%, see rank | 11.03% | 16.01% |
$700 to $999 | 2,684, 52.52%, see rank | 32.44% | 29.17% |
$1,000 to $1,499 | 1,640, 32.09%, see rank | 34.44% | 26.88% |
$1,500 to $1,999 | 284, 5.56%, see rank | 10.35% | 9.79% |
$2,000 or More | 88, 1.72%, see rank | 4.93% | 6.10% |
Median | $936, see rank | $998 | $920 |
ACS 2008-2012 data
Monthly Rental | 32073 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 5,027, 100% | 2,165,931 | 37,562,111 |
$199 or Less | 61, 1.21%, see rank | 1.21% | 1.76% |
$200 to $299 | 53, 1.05%, see rank | 1.91% | 3.29% |
$300 to $499 | 42, 0.84%, see rank | 4.17% | 8.20% |
$500 to $699 | 250, 4.97%, see rank | 11.61% | 17.39% |
$700 to $999 | 2,539, 50.51%, see rank | 32.62% | 29.40% |
$1,000 to $1,499 | 1,657, 32.96%, see rank | 34.12% | 25.73% |
$1,500 to $1,999 | 295, 5.87%, see rank | 9.83% | 8.92% |
$2,000 or More | 130, 2.59%, see rank | 4.53% | 5.30% |
Median | $944, see rank | $987 | $889 |
US Census 2000 data
Monthly Rental | 32073 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 4,918, 100% | 1,800,989 | 33,386,326 |
$199 or Less | 43, 0.87%, see rank | 4.00% | 5.52% |
$200 to $299 | 40, 0.81%, see rank | 3.59% | 5.45% |
$300 to $499 | 367, 7.46%, see rank | 19.29% | 23.18% |
$500 to $699 | 2,020, 41.07%, see rank | 32.76% | 29.57% |
$700 to $999 | 1,891, 38.45%, see rank | 29.16% | 24.06% |
$1,000 to $1,499 | 486, 9.88%, see rank | 8.64% | 9.15% |
$1,500 to $1,999 | 62, 1.26%, see rank | 1.66% | 2.05% |
$2,000 or More | 9, 0.18%, see rank | 0.91% | 1.02% |
Median | $699, 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.