90746 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 90746 Zip Code | California | U.S. |
Occupied Units Paying Rent | 954, 100% | 5,526,560 | 39,201,928 |
$199 or Less | 0, 0.00%, see rank | 0.65% | 1.50% |
$200 to $299 | 0, 0.00%, see rank | 2.00% | 3.18% |
$300 to $499 | 6, 0.63%, see rank | 3.28% | 7.37% |
$500 to $699 | 53, 5.56%, see rank | 6.23% | 16.01% |
$700 to $999 | 176, 18.45%, see rank | 19.65% | 29.17% |
$1,000 to $1,499 | 139, 14.57%, see rank | 34.37% | 26.88% |
$1,500 to $1,999 | 284, 29.77%, see rank | 19.29% | 9.79% |
$2,000 or More | 296, 31.03%, see rank | 14.52% | 6.10% |
Median | $1,681, see rank | $1,243 | $920 |
ACS 2008-2012 data
Monthly Rental | 90746 Zip Code | California | U.S. |
Occupied Units Paying Rent | 863, 100% | 5,312,405 | 37,562,111 |
$199 or Less | 0, 0.00%, see rank | 0.64% | 1.76% |
$200 to $299 | 9, 1.04%, see rank | 2.10% | 3.29% |
$300 to $499 | 5, 0.58%, see rank | 3.52% | 8.20% |
$500 to $699 | 24, 2.78%, see rank | 6.83% | 17.39% |
$700 to $999 | 152, 17.61%, see rank | 20.86% | 29.40% |
$1,000 to $1,499 | 124, 14.37%, see rank | 34.70% | 25.73% |
$1,500 to $1,999 | 227, 26.30%, see rank | 18.54% | 8.92% |
$2,000 or More | 322, 37.31%, see rank | 12.81% | 5.30% |
Median | $1,759, see rank | $1,209 | $889 |
US Census 2000 data
Monthly Rental | 90746 Zip Code | California | U.S. |
Occupied Units Paying Rent | 873, 100% | 4,768,723 | 33,386,326 |
$199 or Less | 8, 0.92%, see rank | 2.27% | 5.52% |
$200 to $299 | 38, 4.35%, see rank | 2.74% | 5.45% |
$300 to $499 | 65, 7.45%, see rank | 13.00% | 23.18% |
$500 to $699 | 90, 10.31%, see rank | 25.86% | 29.57% |
$700 to $999 | 320, 36.66%, see rank | 30.82% | 24.06% |
$1,000 to $1,499 | 301, 34.48%, see rank | 18.25% | 9.15% |
$1,500 to $1,999 | 47, 5.38%, see rank | 4.97% | 2.05% |
$2,000 or More | 4, 0.46%, see rank | 2.09% | 1.02% |
Median | $905, see rank | $747 | $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.