08863 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 08863 Zip Code | New Jersey | U.S. |
Occupied Units Paying Rent | 1,211, 100% | 1,077,463 | 39,201,928 |
$199 or Less | 0, 0.00%, see rank | 1.46% | 1.50% |
$200 to $299 | 25, 2.06%, see rank | 3.04% | 3.18% |
$300 to $499 | 19, 1.57%, see rank | 3.86% | 7.37% |
$500 to $699 | 16, 1.32%, see rank | 4.64% | 16.01% |
$700 to $999 | 195, 16.10%, see rank | 19.19% | 29.17% |
$1,000 to $1,499 | 712, 58.79%, see rank | 40.89% | 26.88% |
$1,500 to $1,999 | 205, 16.93%, see rank | 17.11% | 9.79% |
$2,000 or More | 39, 3.22%, see rank | 9.81% | 6.10% |
Median | $1,189, see rank | $1,188 | $920 |
ACS 2008-2012 data
Monthly Rental | 08863 Zip Code | New Jersey | U.S. |
Occupied Units Paying Rent | 1,106, 100% | 1,043,194 | 37,562,111 |
$199 or Less | 0, 0.00%, see rank | 1.58% | 1.76% |
$200 to $299 | 33, 2.98%, see rank | 3.12% | 3.29% |
$300 to $499 | 29, 2.62%, see rank | 3.93% | 8.20% |
$500 to $699 | 0, 0.00%, see rank | 5.25% | 17.39% |
$700 to $999 | 230, 20.80%, see rank | 21.16% | 29.40% |
$1,000 to $1,499 | 590, 53.35%, see rank | 40.53% | 25.73% |
$1,500 to $1,999 | 205, 18.54%, see rank | 15.64% | 8.92% |
$2,000 or More | 19, 1.72%, see rank | 8.78% | 5.30% |
Median | $1,171, see rank | $1,154 | $889 |
US Census 2000 data
Monthly Rental | 08863 Zip Code | New Jersey | U.S. |
Occupied Units Paying Rent | 1,299, 100% | 1,015,329 | 33,386,326 |
$199 or Less | 56, 4.31%, see rank | 4.89% | 5.52% |
$200 to $299 | 33, 2.54%, see rank | 3.31% | 5.45% |
$300 to $499 | 40, 3.08%, see rank | 8.84% | 23.18% |
$500 to $699 | 197, 15.17%, see rank | 24.55% | 29.57% |
$700 to $999 | 839, 64.59%, see rank | 39.21% | 24.06% |
$1,000 to $1,499 | 115, 8.85%, see rank | 14.69% | 9.15% |
$1,500 to $1,999 | 19, 1.46%, see rank | 3.04% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 1.46% | 1.02% |
Median | $784, 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.