38103 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 38103 Zip Code | Tennessee | U.S. |
Occupied Units Paying Rent | 4,262, 100% | 747,962 | 39,201,928 |
$199 or Less | 91, 2.14%, see rank | 2.40% | 1.50% |
$200 to $299 | 170, 3.99%, see rank | 4.03% | 3.18% |
$300 to $499 | 85, 1.99%, see rank | 10.84% | 7.37% |
$500 to $699 | 239, 5.61%, see rank | 24.36% | 16.01% |
$700 to $999 | 882, 20.69%, see rank | 35.12% | 29.17% |
$1,000 to $1,499 | 2,025, 47.51%, see rank | 18.39% | 26.88% |
$1,500 to $1,999 | 551, 12.93%, see rank | 3.36% | 9.79% |
$2,000 or More | 219, 5.14%, see rank | 1.49% | 6.10% |
Median | $1,116, see rank | $757 | $920 |
ACS 2008-2012 data
Monthly Rental | 38103 Zip Code | Tennessee | U.S. |
Occupied Units Paying Rent | 3,877, 100% | 714,072 | 37,562,111 |
$199 or Less | 182, 4.69%, see rank | 3.10% | 1.76% |
$200 to $299 | 127, 3.28%, see rank | 3.99% | 3.29% |
$300 to $499 | 99, 2.55%, see rank | 12.18% | 8.20% |
$500 to $699 | 325, 8.38%, see rank | 26.79% | 17.39% |
$700 to $999 | 1,077, 27.78%, see rank | 34.45% | 29.40% |
$1,000 to $1,499 | 1,438, 37.09%, see rank | 15.59% | 25.73% |
$1,500 to $1,999 | 446, 11.50%, see rank | 2.64% | 8.92% |
$2,000 or More | 183, 4.72%, see rank | 1.26% | 5.30% |
Median | $1,032, see rank | $726 | $889 |
US Census 2000 data
Monthly Rental | 38103 Zip Code | Tennessee | U.S. |
Occupied Units Paying Rent | 2,735, 100% | 607,794 | 33,386,326 |
$199 or Less | 246, 8.99%, see rank | 8.61% | 5.52% |
$200 to $299 | 44, 1.61%, see rank | 7.92% | 5.45% |
$300 to $499 | 147, 5.37%, see rank | 32.49% | 23.18% |
$500 to $699 | 715, 26.14%, see rank | 31.24% | 29.57% |
$700 to $999 | 1,264, 46.22%, see rank | 15.69% | 24.06% |
$1,000 to $1,499 | 303, 11.08%, see rank | 3.25% | 9.15% |
$1,500 to $1,999 | 7, 0.26%, see rank | 0.53% | 2.05% |
$2,000 or More | 9, 0.33%, see rank | 0.27% | 1.02% |
Median | $739, see rank | $505 | $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.