98108 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 98108 Zip Code | Washington | U.S. |
Occupied Units Paying Rent | 3,517, 100% | 947,896 | 39,201,928 |
$199 or Less | 48, 1.36%, see rank | 1.39% | 1.50% |
$200 to $299 | 106, 3.01%, see rank | 2.49% | 3.18% |
$300 to $499 | 307, 8.73%, see rank | 4.91% | 7.37% |
$500 to $699 | 419, 11.91%, see rank | 11.75% | 16.01% |
$700 to $999 | 1,282, 36.45%, see rank | 29.99% | 29.17% |
$1,000 to $1,499 | 748, 21.27%, see rank | 31.43% | 26.88% |
$1,500 to $1,999 | 486, 13.82%, see rank | 12.13% | 9.79% |
$2,000 or More | 121, 3.44%, see rank | 5.91% | 6.10% |
Median | $897, see rank | $995 | $920 |
ACS 2008-2012 data
Monthly Rental | 98108 Zip Code | Washington | U.S. |
Occupied Units Paying Rent | 3,509, 100% | 912,201 | 37,562,111 |
$199 or Less | 38, 1.08%, see rank | 1.61% | 1.76% |
$200 to $299 | 101, 2.88%, see rank | 2.40% | 3.29% |
$300 to $499 | 304, 8.66%, see rank | 5.78% | 8.20% |
$500 to $699 | 429, 12.23%, see rank | 13.68% | 17.39% |
$700 to $999 | 1,268, 36.14%, see rank | 31.48% | 29.40% |
$1,000 to $1,499 | 795, 22.66%, see rank | 29.81% | 25.73% |
$1,500 to $1,999 | 513, 14.62%, see rank | 10.39% | 8.92% |
$2,000 or More | 61, 1.74%, see rank | 4.86% | 5.30% |
Median | $878, see rank | $951 | $889 |
US Census 2000 data
Monthly Rental | 98108 Zip Code | Washington | U.S. |
Occupied Units Paying Rent | 3,069, 100% | 761,948 | 33,386,326 |
$199 or Less | 247, 8.05%, see rank | 4.09% | 5.52% |
$200 to $299 | 231, 7.53%, see rank | 3.52% | 5.45% |
$300 to $499 | 594, 19.35%, see rank | 17.16% | 23.18% |
$500 to $699 | 979, 31.90%, see rank | 30.78% | 29.57% |
$700 to $999 | 701, 22.84%, see rank | 29.82% | 24.06% |
$1,000 to $1,499 | 260, 8.47%, see rank | 11.44% | 9.15% |
$1,500 to $1,999 | 57, 1.86%, see rank | 2.25% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.94% | 1.02% |
Median | $576, 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.