97128 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 97128 Zip Code | Oregon | U.S. |
Occupied Units Paying Rent | 5,217, 100% | 561,173 | 39,201,928 |
$199 or Less | 112, 2.15%, see rank | 1.32% | 1.50% |
$200 to $299 | 176, 3.37%, see rank | 2.39% | 3.18% |
$300 to $499 | 192, 3.68%, see rank | 5.58% | 7.37% |
$500 to $699 | 1,134, 21.74%, see rank | 15.63% | 16.01% |
$700 to $999 | 1,674, 32.09%, see rank | 37.30% | 29.17% |
$1,000 to $1,499 | 1,464, 28.06%, see rank | 26.96% | 26.88% |
$1,500 to $1,999 | 208, 3.99%, see rank | 7.51% | 9.79% |
$2,000 or More | 257, 4.93%, see rank | 3.30% | 6.10% |
Median | $859, see rank | $894 | $920 |
ACS 2008-2012 data
Monthly Rental | 97128 Zip Code | Oregon | U.S. |
Occupied Units Paying Rent | 4,753, 100% | 541,692 | 37,562,111 |
$199 or Less | 92, 1.94%, see rank | 1.51% | 1.76% |
$200 to $299 | 171, 3.60%, see rank | 2.40% | 3.29% |
$300 to $499 | 264, 5.55%, see rank | 6.41% | 8.20% |
$500 to $699 | 1,143, 24.05%, see rank | 18.28% | 17.39% |
$700 to $999 | 1,507, 31.71%, see rank | 38.31% | 29.40% |
$1,000 to $1,499 | 1,131, 23.80%, see rank | 24.35% | 25.73% |
$1,500 to $1,999 | 245, 5.15%, see rank | 6.03% | 8.92% |
$2,000 or More | 200, 4.21%, see rank | 2.72% | 5.30% |
Median | $816, see rank | $854 | $889 |
US Census 2000 data
Monthly Rental | 97128 Zip Code | Oregon | U.S. |
Occupied Units Paying Rent | 3,720, 100% | 449,226 | 33,386,326 |
$199 or Less | 118, 3.17%, see rank | 3.99% | 5.52% |
$200 to $299 | 196, 5.27%, see rank | 3.69% | 5.45% |
$300 to $499 | 658, 17.69%, see rank | 19.64% | 23.18% |
$500 to $699 | 1,510, 40.59%, see rank | 36.98% | 29.57% |
$700 to $999 | 930, 25.00%, see rank | 25.90% | 24.06% |
$1,000 to $1,499 | 198, 5.32%, see rank | 7.84% | 9.15% |
$1,500 to $1,999 | 103, 2.77%, see rank | 1.39% | 2.05% |
$2,000 or More | 7, 0.19%, see rank | 0.58% | 1.02% |
Median | $609, 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.