08835 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 08835 Zip Code | New Jersey | U.S. |
Occupied Units Paying Rent | 1,332, 100% | 1,077,463 | 39,201,928 |
$199 or Less | 30, 2.25%, see rank | 1.46% | 1.50% |
$200 to $299 | 69, 5.18%, see rank | 3.04% | 3.18% |
$300 to $499 | 0, 0.00%, see rank | 3.86% | 7.37% |
$500 to $699 | 54, 4.05%, see rank | 4.64% | 16.01% |
$700 to $999 | 152, 11.41%, see rank | 19.19% | 29.17% |
$1,000 to $1,499 | 643, 48.27%, see rank | 40.89% | 26.88% |
$1,500 to $1,999 | 273, 20.50%, see rank | 17.11% | 9.79% |
$2,000 or More | 111, 8.33%, see rank | 9.81% | 6.10% |
Median | $1,272, see rank | $1,188 | $920 |
ACS 2008-2012 data
Monthly Rental | 08835 Zip Code | New Jersey | U.S. |
Occupied Units Paying Rent | 1,186, 100% | 1,043,194 | 37,562,111 |
$199 or Less | 0, 0.00%, see rank | 1.58% | 1.76% |
$200 to $299 | 50, 4.22%, see rank | 3.12% | 3.29% |
$300 to $499 | 9, 0.76%, see rank | 3.93% | 8.20% |
$500 to $699 | 47, 3.96%, see rank | 5.25% | 17.39% |
$700 to $999 | 179, 15.09%, see rank | 21.16% | 29.40% |
$1,000 to $1,499 | 530, 44.69%, see rank | 40.53% | 25.73% |
$1,500 to $1,999 | 227, 19.14%, see rank | 15.64% | 8.92% |
$2,000 or More | 144, 12.14%, see rank | 8.78% | 5.30% |
Median | $1,231, see rank | $1,154 | $889 |
US Census 2000 data
Monthly Rental | 08835 Zip Code | New Jersey | U.S. |
Occupied Units Paying Rent | 1,125, 100% | 1,015,329 | 33,386,326 |
$199 or Less | 0, 0.00%, see rank | 4.89% | 5.52% |
$200 to $299 | 7, 0.62%, see rank | 3.31% | 5.45% |
$300 to $499 | 121, 10.76%, see rank | 8.84% | 23.18% |
$500 to $699 | 192, 17.07%, see rank | 24.55% | 29.57% |
$700 to $999 | 641, 56.98%, see rank | 39.21% | 24.06% |
$1,000 to $1,499 | 158, 14.04%, see rank | 14.69% | 9.15% |
$1,500 to $1,999 | 6, 0.53%, see rank | 3.04% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 1.46% | 1.02% |
Median | $789, 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.