34773 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 34773 Zip Code | Florida | U.S. |
| Occupied Units Paying Rent | 352, 100% | 2,322,949 | 39,201,928 |
| $199 or Less | 0, 0.00%, see rank | 1.03% | 1.50% |
| $200 to $299 | 0, 0.00%, see rank | 1.85% | 3.18% |
| $300 to $499 | 37, 10.51%, see rank | 3.93% | 7.37% |
| $500 to $699 | 46, 13.07%, see rank | 11.03% | 16.01% |
| $700 to $999 | 126, 35.80%, see rank | 32.44% | 29.17% |
| $1,000 to $1,499 | 51, 14.49%, see rank | 34.44% | 26.88% |
| $1,500 to $1,999 | 92, 26.14%, see rank | 10.35% | 9.79% |
| $2,000 or More | 0, 0.00%, see rank | 4.93% | 6.10% |
| Median | $788, see rank | $998 | $920 |
ACS 2008-2012 data
| Monthly Rental | 34773 Zip Code | Florida | U.S. |
| Occupied Units Paying Rent | 358, 100% | 2,165,931 | 37,562,111 |
| $199 or Less | 0, 0.00%, see rank | 1.21% | 1.76% |
| $200 to $299 | 0, 0.00%, see rank | 1.91% | 3.29% |
| $300 to $499 | 56, 15.64%, see rank | 4.17% | 8.20% |
| $500 to $699 | 15, 4.19%, see rank | 11.61% | 17.39% |
| $700 to $999 | 158, 44.13%, see rank | 32.62% | 29.40% |
| $1,000 to $1,499 | 66, 18.44%, see rank | 34.12% | 25.73% |
| $1,500 to $1,999 | 63, 17.60%, see rank | 9.83% | 8.92% |
| $2,000 or More | 0, 0.00%, see rank | 4.53% | 5.30% |
| Median | $857, see rank | $987 | $889 |
US Census 2000 data
| Monthly Rental | 34773 Zip Code | Florida | U.S. |
| Occupied Units Paying Rent | 113, 100% | 1,800,989 | 33,386,326 |
| $199 or Less | 0, 0.00%, see rank | 4.00% | 5.52% |
| $200 to $299 | 8, 7.08%, see rank | 3.59% | 5.45% |
| $300 to $499 | 33, 29.20%, see rank | 19.29% | 23.18% |
| $500 to $699 | 60, 53.10%, see rank | 32.76% | 29.57% |
| $700 to $999 | 12, 10.62%, see rank | 29.16% | 24.06% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 8.64% | 9.15% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 1.66% | 2.05% |
| $2,000 or More | 0, 0.00%, see rank | 0.91% | 1.02% |
| Median | $529, 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.
