95949 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 95949 Zip Code | California | U.S. |
Occupied Units Paying Rent | 1,114, 100% | 5,526,560 | 39,201,928 |
$199 or Less | 9, 0.81%, see rank | 0.65% | 1.50% |
$200 to $299 | 0, 0.00%, see rank | 2.00% | 3.18% |
$300 to $499 | 16, 1.44%, see rank | 3.28% | 7.37% |
$500 to $699 | 70, 6.28%, see rank | 6.23% | 16.01% |
$700 to $999 | 97, 8.71%, see rank | 19.65% | 29.17% |
$1,000 to $1,499 | 540, 48.47%, see rank | 34.37% | 26.88% |
$1,500 to $1,999 | 278, 24.96%, see rank | 19.29% | 9.79% |
$2,000 or More | 104, 9.34%, see rank | 14.52% | 6.10% |
Median | $1,387, see rank | $1,243 | $920 |
ACS 2008-2012 data
Monthly Rental | 95949 Zip Code | California | U.S. |
Occupied Units Paying Rent | 1,255, 100% | 5,312,405 | 37,562,111 |
$199 or Less | 8, 0.64%, see rank | 0.64% | 1.76% |
$200 to $299 | 0, 0.00%, see rank | 2.10% | 3.29% |
$300 to $499 | 21, 1.67%, see rank | 3.52% | 8.20% |
$500 to $699 | 61, 4.86%, see rank | 6.83% | 17.39% |
$700 to $999 | 109, 8.69%, see rank | 20.86% | 29.40% |
$1,000 to $1,499 | 675, 53.78%, see rank | 34.70% | 25.73% |
$1,500 to $1,999 | 263, 20.96%, see rank | 18.54% | 8.92% |
$2,000 or More | 118, 9.40%, see rank | 12.81% | 5.30% |
Median | $1,364, see rank | $1,209 | $889 |
US Census 2000 data
Monthly Rental | 95949 Zip Code | California | U.S. |
Occupied Units Paying Rent | 670, 100% | 4,768,723 | 33,386,326 |
$199 or Less | 6, 0.90%, see rank | 2.27% | 5.52% |
$200 to $299 | 10, 1.49%, see rank | 2.74% | 5.45% |
$300 to $499 | 54, 8.06%, see rank | 13.00% | 23.18% |
$500 to $699 | 111, 16.57%, see rank | 25.86% | 29.57% |
$700 to $999 | 243, 36.27%, see rank | 30.82% | 24.06% |
$1,000 to $1,499 | 207, 30.90%, see rank | 18.25% | 9.15% |
$1,500 to $1,999 | 39, 5.82%, see rank | 4.97% | 2.05% |
$2,000 or More | 0, 0.00%, 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.