98409 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 98409 Zip Code | Washington | U.S. |
Occupied Units Paying Rent | 5,420, 100% | 947,896 | 39,201,928 |
$199 or Less | 90, 1.66%, see rank | 1.39% | 1.50% |
$200 to $299 | 31, 0.57%, see rank | 2.49% | 3.18% |
$300 to $499 | 142, 2.62%, see rank | 4.91% | 7.37% |
$500 to $699 | 226, 4.17%, see rank | 11.75% | 16.01% |
$700 to $999 | 2,498, 46.09%, see rank | 29.99% | 29.17% |
$1,000 to $1,499 | 1,860, 34.32%, see rank | 31.43% | 26.88% |
$1,500 to $1,999 | 554, 10.22%, see rank | 12.13% | 9.79% |
$2,000 or More | 19, 0.35%, see rank | 5.91% | 6.10% |
Median | $963, see rank | $995 | $920 |
ACS 2008-2012 data
Monthly Rental | 98409 Zip Code | Washington | U.S. |
Occupied Units Paying Rent | 5,276, 100% | 912,201 | 37,562,111 |
$199 or Less | 155, 2.94%, see rank | 1.61% | 1.76% |
$200 to $299 | 33, 0.63%, see rank | 2.40% | 3.29% |
$300 to $499 | 93, 1.76%, see rank | 5.78% | 8.20% |
$500 to $699 | 436, 8.26%, see rank | 13.68% | 17.39% |
$700 to $999 | 2,578, 48.86%, see rank | 31.48% | 29.40% |
$1,000 to $1,499 | 1,605, 30.42%, see rank | 29.81% | 25.73% |
$1,500 to $1,999 | 325, 6.16%, see rank | 10.39% | 8.92% |
$2,000 or More | 51, 0.97%, see rank | 4.86% | 5.30% |
Median | $915, see rank | $951 | $889 |
US Census 2000 data
Monthly Rental | 98409 Zip Code | Washington | U.S. |
Occupied Units Paying Rent | 4,917, 100% | 761,948 | 33,386,326 |
$199 or Less | 92, 1.87%, see rank | 4.09% | 5.52% |
$200 to $299 | 117, 2.38%, see rank | 3.52% | 5.45% |
$300 to $499 | 864, 17.57%, see rank | 17.16% | 23.18% |
$500 to $699 | 2,710, 55.11%, see rank | 30.78% | 29.57% |
$700 to $999 | 820, 16.68%, see rank | 29.82% | 24.06% |
$1,000 to $1,499 | 217, 4.41%, see rank | 11.44% | 9.15% |
$1,500 to $1,999 | 56, 1.14%, see rank | 2.25% | 2.05% |
$2,000 or More | 41, 0.83%, see rank | 0.94% | 1.02% |
Median | $600, 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.