98682 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 98682 Zip Code | Washington | U.S. |
Occupied Units Paying Rent | 5,659, 100% | 947,896 | 39,201,928 |
$199 or Less | 59, 1.04%, see rank | 1.39% | 1.50% |
$200 to $299 | 14, 0.25%, see rank | 2.49% | 3.18% |
$300 to $499 | 154, 2.72%, see rank | 4.91% | 7.37% |
$500 to $699 | 245, 4.33%, see rank | 11.75% | 16.01% |
$700 to $999 | 2,168, 38.31%, see rank | 29.99% | 29.17% |
$1,000 to $1,499 | 2,559, 45.22%, see rank | 31.43% | 26.88% |
$1,500 to $1,999 | 400, 7.07%, see rank | 12.13% | 9.79% |
$2,000 or More | 60, 1.06%, see rank | 5.91% | 6.10% |
Median | $1,036, see rank | $995 | $920 |
ACS 2008-2012 data
Monthly Rental | 98682 Zip Code | Washington | U.S. |
Occupied Units Paying Rent | 5,591, 100% | 912,201 | 37,562,111 |
$199 or Less | 40, 0.72%, see rank | 1.61% | 1.76% |
$200 to $299 | 14, 0.25%, see rank | 2.40% | 3.29% |
$300 to $499 | 89, 1.59%, see rank | 5.78% | 8.20% |
$500 to $699 | 308, 5.51%, see rank | 13.68% | 17.39% |
$700 to $999 | 2,460, 44.00%, see rank | 31.48% | 29.40% |
$1,000 to $1,499 | 2,263, 40.48%, see rank | 29.81% | 25.73% |
$1,500 to $1,999 | 400, 7.15%, see rank | 10.39% | 8.92% |
$2,000 or More | 17, 0.30%, see rank | 4.86% | 5.30% |
Median | $981, see rank | $951 | $889 |
US Census 2000 data
Monthly Rental | 98682 Zip Code | Washington | U.S. |
Occupied Units Paying Rent | 3,757, 100% | 761,948 | 33,386,326 |
$199 or Less | 57, 1.52%, see rank | 4.09% | 5.52% |
$200 to $299 | 45, 1.20%, see rank | 3.52% | 5.45% |
$300 to $499 | 130, 3.46%, see rank | 17.16% | 23.18% |
$500 to $699 | 1,353, 36.01%, see rank | 30.78% | 29.57% |
$700 to $999 | 1,507, 40.11%, see rank | 29.82% | 24.06% |
$1,000 to $1,499 | 619, 16.48%, see rank | 11.44% | 9.15% |
$1,500 to $1,999 | 38, 1.01%, see rank | 2.25% | 2.05% |
$2,000 or More | 8, 0.21%, see rank | 0.94% | 1.02% |
Median | $743, see rank | $663 | $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.