98604 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 98604 Zip Code | Washington | U.S. |
Occupied Units Paying Rent | 2,523, 100% | 947,896 | 39,201,928 |
$199 or Less | 23, 0.91%, see rank | 1.39% | 1.50% |
$200 to $299 | 60, 2.38%, see rank | 2.49% | 3.18% |
$300 to $499 | 101, 4.00%, see rank | 4.91% | 7.37% |
$500 to $699 | 132, 5.23%, see rank | 11.75% | 16.01% |
$700 to $999 | 933, 36.98%, see rank | 29.99% | 29.17% |
$1,000 to $1,499 | 975, 38.64%, see rank | 31.43% | 26.88% |
$1,500 to $1,999 | 248, 9.83%, see rank | 12.13% | 9.79% |
$2,000 or More | 51, 2.02%, see rank | 5.91% | 6.10% |
Median | $1,005, see rank | $995 | $920 |
ACS 2008-2012 data
Monthly Rental | 98604 Zip Code | Washington | U.S. |
Occupied Units Paying Rent | 2,083, 100% | 912,201 | 37,562,111 |
$199 or Less | 15, 0.72%, see rank | 1.61% | 1.76% |
$200 to $299 | 54, 2.59%, see rank | 2.40% | 3.29% |
$300 to $499 | 94, 4.51%, see rank | 5.78% | 8.20% |
$500 to $699 | 175, 8.40%, see rank | 13.68% | 17.39% |
$700 to $999 | 694, 33.32%, see rank | 31.48% | 29.40% |
$1,000 to $1,499 | 875, 42.01%, see rank | 29.81% | 25.73% |
$1,500 to $1,999 | 176, 8.45%, see rank | 10.39% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 4.86% | 5.30% |
Median | $1,005, see rank | $951 | $889 |
US Census 2000 data
Monthly Rental | 98604 Zip Code | Washington | U.S. |
Occupied Units Paying Rent | 1,173, 100% | 761,948 | 33,386,326 |
$199 or Less | 63, 5.37%, see rank | 4.09% | 5.52% |
$200 to $299 | 63, 5.37%, see rank | 3.52% | 5.45% |
$300 to $499 | 163, 13.90%, see rank | 17.16% | 23.18% |
$500 to $699 | 264, 22.51%, see rank | 30.78% | 29.57% |
$700 to $999 | 376, 32.05%, see rank | 29.82% | 24.06% |
$1,000 to $1,499 | 244, 20.80%, see rank | 11.44% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 2.25% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.94% | 1.02% |
Median | $722, 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.