95961 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 95961 Zip Code | California | U.S. |
Occupied Units Paying Rent | 2,595, 100% | 5,526,560 | 39,201,928 |
$199 or Less | 60, 2.31%, see rank | 0.65% | 1.50% |
$200 to $299 | 7, 0.27%, see rank | 2.00% | 3.18% |
$300 to $499 | 62, 2.39%, see rank | 3.28% | 7.37% |
$500 to $699 | 620, 23.89%, see rank | 6.23% | 16.01% |
$700 to $999 | 794, 30.60%, see rank | 19.65% | 29.17% |
$1,000 to $1,499 | 676, 26.05%, see rank | 34.37% | 26.88% |
$1,500 to $1,999 | 349, 13.45%, see rank | 19.29% | 9.79% |
$2,000 or More | 27, 1.04%, see rank | 14.52% | 6.10% |
Median | $890, see rank | $1,243 | $920 |
ACS 2008-2012 data
Monthly Rental | 95961 Zip Code | California | U.S. |
Occupied Units Paying Rent | 2,429, 100% | 5,312,405 | 37,562,111 |
$199 or Less | 26, 1.07%, see rank | 0.64% | 1.76% |
$200 to $299 | 40, 1.65%, see rank | 2.10% | 3.29% |
$300 to $499 | 16, 0.66%, see rank | 3.52% | 8.20% |
$500 to $699 | 620, 25.52%, see rank | 6.83% | 17.39% |
$700 to $999 | 735, 30.26%, see rank | 20.86% | 29.40% |
$1,000 to $1,499 | 636, 26.18%, see rank | 34.70% | 25.73% |
$1,500 to $1,999 | 347, 14.29%, see rank | 18.54% | 8.92% |
$2,000 or More | 9, 0.37%, see rank | 12.81% | 5.30% |
Median | $849, see rank | $1,209 | $889 |
US Census 2000 data
Monthly Rental | 95961 Zip Code | California | U.S. |
Occupied Units Paying Rent | 750, 100% | 4,768,723 | 33,386,326 |
$199 or Less | 30, 4.00%, see rank | 2.27% | 5.52% |
$200 to $299 | 52, 6.93%, see rank | 2.74% | 5.45% |
$300 to $499 | 317, 42.27%, see rank | 13.00% | 23.18% |
$500 to $699 | 262, 34.93%, see rank | 25.86% | 29.57% |
$700 to $999 | 89, 11.87%, see rank | 30.82% | 24.06% |
$1,000 to $1,499 | 0, 0.00%, see rank | 18.25% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 4.97% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 2.09% | 1.02% |
Median | $489, 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.