98664 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 98664 Zip Code | Washington | U.S. |
Occupied Units Paying Rent | 3,724, 100% | 947,896 | 39,201,928 |
$199 or Less | 0, 0.00%, see rank | 1.39% | 1.50% |
$200 to $299 | 14, 0.38%, see rank | 2.49% | 3.18% |
$300 to $499 | 38, 1.02%, see rank | 4.91% | 7.37% |
$500 to $699 | 119, 3.20%, see rank | 11.75% | 16.01% |
$700 to $999 | 1,893, 50.83%, see rank | 29.99% | 29.17% |
$1,000 to $1,499 | 1,403, 37.67%, see rank | 31.43% | 26.88% |
$1,500 to $1,999 | 203, 5.45%, see rank | 12.13% | 9.79% |
$2,000 or More | 54, 1.45%, see rank | 5.91% | 6.10% |
Median | $968, see rank | $995 | $920 |
ACS 2008-2012 data
Monthly Rental | 98664 Zip Code | Washington | U.S. |
Occupied Units Paying Rent | 3,873, 100% | 912,201 | 37,562,111 |
$199 or Less | 0, 0.00%, see rank | 1.61% | 1.76% |
$200 to $299 | 32, 0.83%, see rank | 2.40% | 3.29% |
$300 to $499 | 59, 1.52%, see rank | 5.78% | 8.20% |
$500 to $699 | 307, 7.93%, see rank | 13.68% | 17.39% |
$700 to $999 | 2,071, 53.47%, see rank | 31.48% | 29.40% |
$1,000 to $1,499 | 1,161, 29.98%, see rank | 29.81% | 25.73% |
$1,500 to $1,999 | 205, 5.29%, see rank | 10.39% | 8.92% |
$2,000 or More | 38, 0.98%, see rank | 4.86% | 5.30% |
Median | $918, see rank | $951 | $889 |
US Census 2000 data
Monthly Rental | 98664 Zip Code | Washington | U.S. |
Occupied Units Paying Rent | 3,185, 100% | 761,948 | 33,386,326 |
$199 or Less | 45, 1.41%, see rank | 4.09% | 5.52% |
$200 to $299 | 24, 0.75%, see rank | 3.52% | 5.45% |
$300 to $499 | 144, 4.52%, see rank | 17.16% | 23.18% |
$500 to $699 | 1,524, 47.85%, see rank | 30.78% | 29.57% |
$700 to $999 | 1,114, 34.98%, see rank | 29.82% | 24.06% |
$1,000 to $1,499 | 273, 8.57%, see rank | 11.44% | 9.15% |
$1,500 to $1,999 | 61, 1.92%, see rank | 2.25% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.94% | 1.02% |
Median | $684, 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.