37801 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 37801 Zip Code | Tennessee | U.S. |
Occupied Units Paying Rent | 2,773, 100% | 747,962 | 39,201,928 |
$199 or Less | 100, 3.61%, see rank | 2.40% | 1.50% |
$200 to $299 | 210, 7.57%, see rank | 4.03% | 3.18% |
$300 to $499 | 283, 10.21%, see rank | 10.84% | 7.37% |
$500 to $699 | 525, 18.93%, see rank | 24.36% | 16.01% |
$700 to $999 | 1,064, 38.37%, see rank | 35.12% | 29.17% |
$1,000 to $1,499 | 503, 18.14%, see rank | 18.39% | 26.88% |
$1,500 to $1,999 | 82, 2.96%, see rank | 3.36% | 9.79% |
$2,000 or More | 6, 0.22%, see rank | 1.49% | 6.10% |
Median | $757, see rank | $757 | $920 |
ACS 2008-2012 data
Monthly Rental | 37801 Zip Code | Tennessee | U.S. |
Occupied Units Paying Rent | 2,896, 100% | 714,072 | 37,562,111 |
$199 or Less | 94, 3.25%, see rank | 3.10% | 1.76% |
$200 to $299 | 206, 7.11%, see rank | 3.99% | 3.29% |
$300 to $499 | 445, 15.37%, see rank | 12.18% | 8.20% |
$500 to $699 | 784, 27.07%, see rank | 26.79% | 17.39% |
$700 to $999 | 880, 30.39%, see rank | 34.45% | 29.40% |
$1,000 to $1,499 | 330, 11.40%, see rank | 15.59% | 25.73% |
$1,500 to $1,999 | 131, 4.52%, see rank | 2.64% | 8.92% |
$2,000 or More | 26, 0.90%, see rank | 1.26% | 5.30% |
Median | $688, see rank | $726 | $889 |
US Census 2000 data
Monthly Rental | 37801 Zip Code | Tennessee | U.S. |
Occupied Units Paying Rent | 2,074, 100% | 607,794 | 33,386,326 |
$199 or Less | 349, 16.83%, see rank | 8.61% | 5.52% |
$200 to $299 | 247, 11.91%, see rank | 7.92% | 5.45% |
$300 to $499 | 826, 39.83%, see rank | 32.49% | 23.18% |
$500 to $699 | 507, 24.45%, see rank | 31.24% | 29.57% |
$700 to $999 | 122, 5.88%, see rank | 15.69% | 24.06% |
$1,000 to $1,499 | 23, 1.11%, see rank | 3.25% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.53% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.27% | 1.02% |
Median | $411, 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.