96766 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 96766 Zip Code | Hawaii | U.S. |
Occupied Units Paying Rent | 1,609, 100% | 179,636 | 39,201,928 |
$199 or Less | 11, 0.68%, see rank | 1.13% | 1.50% |
$200 to $299 | 17, 1.06%, see rank | 2.03% | 3.18% |
$300 to $499 | 88, 5.47%, see rank | 3.47% | 7.37% |
$500 to $699 | 172, 10.69%, see rank | 4.85% | 16.01% |
$700 to $999 | 361, 22.44%, see rank | 13.58% | 29.17% |
$1,000 to $1,499 | 527, 32.75%, see rank | 29.35% | 26.88% |
$1,500 to $1,999 | 258, 16.03%, see rank | 19.39% | 9.79% |
$2,000 or More | 175, 10.88%, see rank | 26.20% | 6.10% |
Median | $1,225, see rank | $1,417 | $920 |
ACS 2008-2012 data
Monthly Rental | 96766 Zip Code | Hawaii | U.S. |
Occupied Units Paying Rent | 1,649, 100% | 173,925 | 37,562,111 |
$199 or Less | 12, 0.73%, see rank | 1.34% | 1.76% |
$200 to $299 | 19, 1.15%, see rank | 2.06% | 3.29% |
$300 to $499 | 82, 4.97%, see rank | 3.63% | 8.20% |
$500 to $699 | 113, 6.85%, see rank | 5.74% | 17.39% |
$700 to $999 | 329, 19.95%, see rank | 15.12% | 29.40% |
$1,000 to $1,499 | 619, 37.54%, see rank | 30.01% | 25.73% |
$1,500 to $1,999 | 314, 19.04%, see rank | 18.63% | 8.92% |
$2,000 or More | 161, 9.76%, see rank | 23.48% | 5.30% |
Median | $1,167, see rank | $1,354 | $889 |
US Census 2000 data
Monthly Rental | 96766 Zip Code | Hawaii | U.S. |
Occupied Units Paying Rent | 1,348, 100% | 151,027 | 33,386,326 |
$199 or Less | 94, 6.97%, see rank | 4.35% | 5.52% |
$200 to $299 | 30, 2.23%, see rank | 3.34% | 5.45% |
$300 to $499 | 151, 11.20%, see rank | 9.93% | 23.18% |
$500 to $699 | 296, 21.96%, see rank | 22.07% | 29.57% |
$700 to $999 | 603, 44.73%, see rank | 32.86% | 24.06% |
$1,000 to $1,499 | 152, 11.28%, see rank | 20.21% | 9.15% |
$1,500 to $1,999 | 10, 0.74%, see rank | 5.28% | 2.05% |
$2,000 or More | 12, 0.89%, see rank | 1.95% | 1.02% |
Median | $732, see rank | $779 | $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.