98584 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 98584 Zip Code | Washington | U.S. |
Occupied Units Paying Rent | 3,021, 100% | 947,896 | 39,201,928 |
$199 or Less | 29, 0.96%, see rank | 1.39% | 1.50% |
$200 to $299 | 144, 4.77%, see rank | 2.49% | 3.18% |
$300 to $499 | 300, 9.93%, see rank | 4.91% | 7.37% |
$500 to $699 | 518, 17.15%, see rank | 11.75% | 16.01% |
$700 to $999 | 1,089, 36.05%, see rank | 29.99% | 29.17% |
$1,000 to $1,499 | 812, 26.88%, see rank | 31.43% | 26.88% |
$1,500 to $1,999 | 31, 1.03%, see rank | 12.13% | 9.79% |
$2,000 or More | 98, 3.24%, see rank | 5.91% | 6.10% |
Median | $868, see rank | $995 | $920 |
ACS 2008-2012 data
Monthly Rental | 98584 Zip Code | Washington | U.S. |
Occupied Units Paying Rent | 3,068, 100% | 912,201 | 37,562,111 |
$199 or Less | 143, 4.66%, see rank | 1.61% | 1.76% |
$200 to $299 | 123, 4.01%, see rank | 2.40% | 3.29% |
$300 to $499 | 358, 11.67%, see rank | 5.78% | 8.20% |
$500 to $699 | 443, 14.44%, see rank | 13.68% | 17.39% |
$700 to $999 | 1,173, 38.23%, see rank | 31.48% | 29.40% |
$1,000 to $1,499 | 688, 22.43%, see rank | 29.81% | 25.73% |
$1,500 to $1,999 | 50, 1.63%, see rank | 10.39% | 8.92% |
$2,000 or More | 90, 2.93%, see rank | 4.86% | 5.30% |
Median | $823, see rank | $951 | $889 |
US Census 2000 data
Monthly Rental | 98584 Zip Code | Washington | U.S. |
Occupied Units Paying Rent | 2,491, 100% | 761,948 | 33,386,326 |
$199 or Less | 157, 6.30%, see rank | 4.09% | 5.52% |
$200 to $299 | 121, 4.86%, see rank | 3.52% | 5.45% |
$300 to $499 | 582, 23.36%, see rank | 17.16% | 23.18% |
$500 to $699 | 936, 37.58%, see rank | 30.78% | 29.57% |
$700 to $999 | 587, 23.56%, see rank | 29.82% | 24.06% |
$1,000 to $1,499 | 60, 2.41%, see rank | 11.44% | 9.15% |
$1,500 to $1,999 | 32, 1.28%, see rank | 2.25% | 2.05% |
$2,000 or More | 16, 0.64%, see rank | 0.94% | 1.02% |
Median | $582, 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.