97405 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 97405 Zip Code | Oregon | U.S. |
Occupied Units Paying Rent | 6,035, 100% | 561,173 | 39,201,928 |
$199 or Less | 0, 0.00%, see rank | 1.32% | 1.50% |
$200 to $299 | 61, 1.01%, see rank | 2.39% | 3.18% |
$300 to $499 | 260, 4.31%, see rank | 5.58% | 7.37% |
$500 to $699 | 725, 12.01%, see rank | 15.63% | 16.01% |
$700 to $999 | 1,997, 33.09%, see rank | 37.30% | 29.17% |
$1,000 to $1,499 | 1,979, 32.79%, see rank | 26.96% | 26.88% |
$1,500 to $1,999 | 642, 10.64%, see rank | 7.51% | 9.79% |
$2,000 or More | 371, 6.15%, see rank | 3.30% | 6.10% |
Median | $994, see rank | $894 | $920 |
ACS 2008-2012 data
Monthly Rental | 97405 Zip Code | Oregon | U.S. |
Occupied Units Paying Rent | 5,796, 100% | 541,692 | 37,562,111 |
$199 or Less | 22, 0.38%, see rank | 1.51% | 1.76% |
$200 to $299 | 54, 0.93%, see rank | 2.40% | 3.29% |
$300 to $499 | 262, 4.52%, see rank | 6.41% | 8.20% |
$500 to $699 | 882, 15.22%, see rank | 18.28% | 17.39% |
$700 to $999 | 2,125, 36.66%, see rank | 38.31% | 29.40% |
$1,000 to $1,499 | 1,735, 29.93%, see rank | 24.35% | 25.73% |
$1,500 to $1,999 | 535, 9.23%, see rank | 6.03% | 8.92% |
$2,000 or More | 181, 3.12%, see rank | 2.72% | 5.30% |
Median | $924, see rank | $854 | $889 |
US Census 2000 data
Monthly Rental | 97405 Zip Code | Oregon | U.S. |
Occupied Units Paying Rent | 5,231, 100% | 449,226 | 33,386,326 |
$199 or Less | 85, 1.62%, see rank | 3.99% | 5.52% |
$200 to $299 | 75, 1.43%, see rank | 3.69% | 5.45% |
$300 to $499 | 756, 14.45%, see rank | 19.64% | 23.18% |
$500 to $699 | 1,788, 34.18%, see rank | 36.98% | 29.57% |
$700 to $999 | 1,753, 33.51%, see rank | 25.90% | 24.06% |
$1,000 to $1,499 | 589, 11.26%, see rank | 7.84% | 9.15% |
$1,500 to $1,999 | 164, 3.14%, see rank | 1.39% | 2.05% |
$2,000 or More | 21, 0.40%, see rank | 0.58% | 1.02% |
Median | $691, see rank | $620 | $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.