94563 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 94563 Zip Code | California | U.S. |
Occupied Units Paying Rent | 643, 100% | 5,526,560 | 39,201,928 |
$199 or Less | 0, 0.00%, see rank | 0.65% | 1.50% |
$200 to $299 | 13, 2.02%, see rank | 2.00% | 3.18% |
$300 to $499 | 66, 10.26%, see rank | 3.28% | 7.37% |
$500 to $699 | 0, 0.00%, see rank | 6.23% | 16.01% |
$700 to $999 | 121, 18.82%, see rank | 19.65% | 29.17% |
$1,000 to $1,499 | 37, 5.75%, see rank | 34.37% | 26.88% |
$1,500 to $1,999 | 70, 10.89%, see rank | 19.29% | 9.79% |
$2,000 or More | 336, 52.26%, see rank | 14.52% | 6.10% |
Median | $2,001, see rank | $1,243 | $920 |
ACS 2008-2012 data
Monthly Rental | 94563 Zip Code | California | U.S. |
Occupied Units Paying Rent | 543, 100% | 5,312,405 | 37,562,111 |
$199 or Less | 0, 0.00%, see rank | 0.64% | 1.76% |
$200 to $299 | 41, 7.55%, see rank | 2.10% | 3.29% |
$300 to $499 | 30, 5.52%, see rank | 3.52% | 8.20% |
$500 to $699 | 0, 0.00%, see rank | 6.83% | 17.39% |
$700 to $999 | 65, 11.97%, see rank | 20.86% | 29.40% |
$1,000 to $1,499 | 43, 7.92%, see rank | 34.70% | 25.73% |
$1,500 to $1,999 | 67, 12.34%, see rank | 18.54% | 8.92% |
$2,000 or More | 297, 54.70%, see rank | 12.81% | 5.30% |
Median | $2,001, see rank | $1,209 | $889 |
US Census 2000 data
Monthly Rental | 94563 Zip Code | California | U.S. |
Occupied Units Paying Rent | 521, 100% | 4,768,723 | 33,386,326 |
$199 or Less | 28, 5.37%, see rank | 2.27% | 5.52% |
$200 to $299 | 33, 6.33%, see rank | 2.74% | 5.45% |
$300 to $499 | 96, 18.43%, see rank | 13.00% | 23.18% |
$500 to $699 | 28, 5.37%, see rank | 25.86% | 29.57% |
$700 to $999 | 19, 3.65%, see rank | 30.82% | 24.06% |
$1,000 to $1,499 | 89, 17.08%, see rank | 18.25% | 9.15% |
$1,500 to $1,999 | 68, 13.05%, see rank | 4.97% | 2.05% |
$2,000 or More | 160, 30.71%, see rank | 2.09% | 1.02% |
Median | $1,254, 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.