08852 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 08852 Zip Code | New Jersey | U.S. |
Occupied Units Paying Rent | 2,264, 100% | 1,077,463 | 39,201,928 |
$199 or Less | 0, 0.00%, see rank | 1.46% | 1.50% |
$200 to $299 | 17, 0.75%, see rank | 3.04% | 3.18% |
$300 to $499 | 79, 3.49%, see rank | 3.86% | 7.37% |
$500 to $699 | 30, 1.33%, see rank | 4.64% | 16.01% |
$700 to $999 | 36, 1.59%, see rank | 19.19% | 29.17% |
$1,000 to $1,499 | 1,162, 51.33%, see rank | 40.89% | 26.88% |
$1,500 to $1,999 | 785, 34.67%, see rank | 17.11% | 9.79% |
$2,000 or More | 155, 6.85%, see rank | 9.81% | 6.10% |
Median | $1,425, see rank | $1,188 | $920 |
ACS 2008-2012 data
Monthly Rental | 08852 Zip Code | New Jersey | U.S. |
Occupied Units Paying Rent | 1,973, 100% | 1,043,194 | 37,562,111 |
$199 or Less | 0, 0.00%, see rank | 1.58% | 1.76% |
$200 to $299 | 0, 0.00%, see rank | 3.12% | 3.29% |
$300 to $499 | 105, 5.32%, see rank | 3.93% | 8.20% |
$500 to $699 | 34, 1.72%, see rank | 5.25% | 17.39% |
$700 to $999 | 95, 4.82%, see rank | 21.16% | 29.40% |
$1,000 to $1,499 | 1,070, 54.23%, see rank | 40.53% | 25.73% |
$1,500 to $1,999 | 568, 28.79%, see rank | 15.64% | 8.92% |
$2,000 or More | 101, 5.12%, see rank | 8.78% | 5.30% |
Median | $1,377, see rank | $1,154 | $889 |
US Census 2000 data
Monthly Rental | 08852 Zip Code | New Jersey | U.S. |
Occupied Units Paying Rent | 1,810, 100% | 1,015,329 | 33,386,326 |
$199 or Less | 0, 0.00%, see rank | 4.89% | 5.52% |
$200 to $299 | 0, 0.00%, see rank | 3.31% | 5.45% |
$300 to $499 | 14, 0.77%, see rank | 8.84% | 23.18% |
$500 to $699 | 86, 4.75%, see rank | 24.55% | 29.57% |
$700 to $999 | 829, 45.80%, see rank | 39.21% | 24.06% |
$1,000 to $1,499 | 842, 46.52%, see rank | 14.69% | 9.15% |
$1,500 to $1,999 | 32, 1.77%, see rank | 3.04% | 2.05% |
$2,000 or More | 7, 0.39%, see rank | 1.46% | 1.02% |
Median | $995, see rank | $751 | $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.