33850 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 33850 Zip Code | Florida | U.S. |
| Occupied Units Paying Rent | 789, 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 | 53, 6.72%, see rank | 3.93% | 7.37% |
| $500 to $699 | 63, 7.98%, see rank | 11.03% | 16.01% |
| $700 to $999 | 460, 58.30%, see rank | 32.44% | 29.17% |
| $1,000 to $1,499 | 137, 17.36%, see rank | 34.44% | 26.88% |
| $1,500 to $1,999 | 21, 2.66%, see rank | 10.35% | 9.79% |
| $2,000 or More | 55, 6.97%, see rank | 4.93% | 6.10% |
| Median | $882, see rank | $998 | $920 |
ACS 2008-2012 data
| Monthly Rental | 33850 Zip Code | Florida | U.S. |
| Occupied Units Paying Rent | 632, 100% | 2,165,931 | 37,562,111 |
| $199 or Less | 0, 0.00%, see rank | 1.21% | 1.76% |
| $200 to $299 | 7, 1.11%, see rank | 1.91% | 3.29% |
| $300 to $499 | 21, 3.32%, see rank | 4.17% | 8.20% |
| $500 to $699 | 81, 12.82%, see rank | 11.61% | 17.39% |
| $700 to $999 | 438, 69.30%, see rank | 32.62% | 29.40% |
| $1,000 to $1,499 | 62, 9.81%, see rank | 34.12% | 25.73% |
| $1,500 to $1,999 | 8, 1.27%, see rank | 9.83% | 8.92% |
| $2,000 or More | 15, 2.37%, see rank | 4.53% | 5.30% |
| Median | $849, see rank | $987 | $889 |
US Census 2000 data
| Monthly Rental | 33850 Zip Code | Florida | U.S. |
| Occupied Units Paying Rent | 413, 100% | 1,800,989 | 33,386,326 |
| $199 or Less | 0, 0.00%, see rank | 4.00% | 5.52% |
| $200 to $299 | 32, 7.75%, see rank | 3.59% | 5.45% |
| $300 to $499 | 150, 36.32%, see rank | 19.29% | 23.18% |
| $500 to $699 | 198, 47.94%, see rank | 32.76% | 29.57% |
| $700 to $999 | 27, 6.54%, see rank | 29.16% | 24.06% |
| $1,000 to $1,499 | 6, 1.45%, 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 | $516, 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.
