32960 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 32960 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 3,791, 100% | 2,322,949 | 39,201,928 |
$199 or Less | 63, 1.66%, see rank | 1.03% | 1.50% |
$200 to $299 | 63, 1.66%, see rank | 1.85% | 3.18% |
$300 to $499 | 363, 9.58%, see rank | 3.93% | 7.37% |
$500 to $699 | 645, 17.01%, see rank | 11.03% | 16.01% |
$700 to $999 | 1,851, 48.83%, see rank | 32.44% | 29.17% |
$1,000 to $1,499 | 662, 17.46%, see rank | 34.44% | 26.88% |
$1,500 to $1,999 | 84, 2.22%, see rank | 10.35% | 9.79% |
$2,000 or More | 60, 1.58%, see rank | 4.93% | 6.10% |
Median | $795, see rank | $998 | $920 |
ACS 2008-2012 data
Monthly Rental | 32960 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 3,626, 100% | 2,165,931 | 37,562,111 |
$199 or Less | 45, 1.24%, see rank | 1.21% | 1.76% |
$200 to $299 | 87, 2.40%, see rank | 1.91% | 3.29% |
$300 to $499 | 311, 8.58%, see rank | 4.17% | 8.20% |
$500 to $699 | 771, 21.26%, see rank | 11.61% | 17.39% |
$700 to $999 | 1,713, 47.24%, see rank | 32.62% | 29.40% |
$1,000 to $1,499 | 606, 16.71%, see rank | 34.12% | 25.73% |
$1,500 to $1,999 | 69, 1.90%, see rank | 9.83% | 8.92% |
$2,000 or More | 24, 0.66%, see rank | 4.53% | 5.30% |
Median | $790, see rank | $987 | $889 |
US Census 2000 data
Monthly Rental | 32960 Zip Code | Florida | U.S. |
Occupied Units Paying Rent | 3,790, 100% | 1,800,989 | 33,386,326 |
$199 or Less | 147, 3.88%, see rank | 4.00% | 5.52% |
$200 to $299 | 193, 5.09%, see rank | 3.59% | 5.45% |
$300 to $499 | 843, 22.24%, see rank | 19.29% | 23.18% |
$500 to $699 | 1,566, 41.32%, see rank | 32.76% | 29.57% |
$700 to $999 | 813, 21.45%, see rank | 29.16% | 24.06% |
$1,000 to $1,499 | 150, 3.96%, see rank | 8.64% | 9.15% |
$1,500 to $1,999 | 56, 1.48%, see rank | 1.66% | 2.05% |
$2,000 or More | 22, 0.58%, see rank | 0.91% | 1.02% |
Median | $596, 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.