32503 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 32503 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 4,514, 100% | 2,322,949 | 39,201,928 |
$199 or Less | 124, 2.75%, see rank | 1.03% | 1.50% |
$200 to $299 | 153, 3.39%, see rank | 1.85% | 3.18% |
$300 to $499 | 217, 4.81%, see rank | 3.93% | 7.37% |
$500 to $699 | 778, 17.24%, see rank | 11.03% | 16.01% |
$700 to $999 | 1,837, 40.70%, see rank | 32.44% | 29.17% |
$1,000 to $1,499 | 1,221, 27.05%, see rank | 34.44% | 26.88% |
$1,500 to $1,999 | 84, 1.86%, see rank | 10.35% | 9.79% |
$2,000 or More | 100, 2.22%, see rank | 4.93% | 6.10% |
Median | $849, see rank | $998 | $920 |
ACS 2008-2012 data
Monthly Rental | 32503 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 4,169, 100% | 2,165,931 | 37,562,111 |
$199 or Less | 77, 1.85%, see rank | 1.21% | 1.76% |
$200 to $299 | 156, 3.74%, see rank | 1.91% | 3.29% |
$300 to $499 | 184, 4.41%, see rank | 4.17% | 8.20% |
$500 to $699 | 811, 19.45%, see rank | 11.61% | 17.39% |
$700 to $999 | 1,716, 41.16%, see rank | 32.62% | 29.40% |
$1,000 to $1,499 | 907, 21.76%, see rank | 34.12% | 25.73% |
$1,500 to $1,999 | 159, 3.81%, see rank | 9.83% | 8.92% |
$2,000 or More | 159, 3.81%, see rank | 4.53% | 5.30% |
Median | $844, see rank | $987 | $889 |
US Census 2000 data
Monthly Rental | 32503 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 4,044, 100% | 1,800,989 | 33,386,326 |
$199 or Less | 370, 9.15%, see rank | 4.00% | 5.52% |
$200 to $299 | 367, 9.08%, see rank | 3.59% | 5.45% |
$300 to $499 | 1,045, 25.84%, see rank | 19.29% | 23.18% |
$500 to $699 | 1,504, 37.19%, see rank | 32.76% | 29.57% |
$700 to $999 | 579, 14.32%, see rank | 29.16% | 24.06% |
$1,000 to $1,499 | 120, 2.97%, see rank | 8.64% | 9.15% |
$1,500 to $1,999 | 49, 1.21%, see rank | 1.66% | 2.05% |
$2,000 or More | 10, 0.25%, see rank | 0.91% | 1.02% |
Median | $519, 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.