35043 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 35043 Zip Code | Alabama | U.S. |
| Occupied Units Paying Rent | 358, 100% | 505,136 | 39,201,928 |
| $199 or Less | 0, 0.00%, see rank | 2.18% | 1.50% |
| $200 to $299 | 0, 0.00%, see rank | 5.01% | 3.18% |
| $300 to $499 | 0, 0.00%, see rank | 14.15% | 7.37% |
| $500 to $699 | 66, 18.44%, see rank | 26.64% | 16.01% |
| $700 to $999 | 53, 14.80%, see rank | 32.35% | 29.17% |
| $1,000 to $1,499 | 36, 10.06%, see rank | 15.87% | 26.88% |
| $1,500 to $1,999 | 172, 48.04%, see rank | 2.54% | 9.79% |
| $2,000 or More | 31, 8.66%, see rank | 1.26% | 6.10% |
| Median | $1,570, see rank | $715 | $920 |
ACS 2008-2012 data
| Monthly Rental | 35043 Zip Code | Alabama | U.S. |
| Occupied Units Paying Rent | 348, 100% | 485,188 | 37,562,111 |
| $199 or Less | 0, 0.00%, see rank | 2.70% | 1.76% |
| $200 to $299 | 0, 0.00%, see rank | 5.13% | 3.29% |
| $300 to $499 | 0, 0.00%, see rank | 15.81% | 8.20% |
| $500 to $699 | 111, 31.90%, see rank | 27.61% | 17.39% |
| $700 to $999 | 71, 20.40%, see rank | 31.32% | 29.40% |
| $1,000 to $1,499 | 24, 6.90%, see rank | 14.32% | 25.73% |
| $1,500 to $1,999 | 104, 29.89%, see rank | 2.06% | 8.92% |
| $2,000 or More | 38, 10.92%, see rank | 1.07% | 5.30% |
| Median | $943, see rank | $691 | $889 |
US Census 2000 data
| Monthly Rental | 35043 Zip Code | Alabama | U.S. |
| Occupied Units Paying Rent | 166, 100% | 420,180 | 33,386,326 |
| $199 or Less | 4, 2.41%, see rank | 11.20% | 5.52% |
| $200 to $299 | 9, 5.42%, see rank | 11.43% | 5.45% |
| $300 to $499 | 77, 46.39%, see rank | 38.04% | 23.18% |
| $500 to $699 | 60, 36.14%, see rank | 26.14% | 29.57% |
| $700 to $999 | 8, 4.82%, see rank | 10.45% | 24.06% |
| $1,000 to $1,499 | 8, 4.82%, see rank | 2.17% | 9.15% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 0.43% | 2.05% |
| $2,000 or More | 0, 0.00%, see rank | 0.15% | 1.02% |
| Median | $478, see rank | $447 | $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.
