07871 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 07871 Zip Code | New Jersey | U.S. |
Occupied Units Paying Rent | 568, 100% | 1,077,463 | 39,201,928 |
$199 or Less | 14, 2.46%, see rank | 1.46% | 1.50% |
$200 to $299 | 46, 8.10%, see rank | 3.04% | 3.18% |
$300 to $499 | 29, 5.11%, see rank | 3.86% | 7.37% |
$500 to $699 | 52, 9.15%, see rank | 4.64% | 16.01% |
$700 to $999 | 74, 13.03%, see rank | 19.19% | 29.17% |
$1,000 to $1,499 | 127, 22.36%, see rank | 40.89% | 26.88% |
$1,500 to $1,999 | 67, 11.80%, see rank | 17.11% | 9.79% |
$2,000 or More | 159, 27.99%, see rank | 9.81% | 6.10% |
Median | $1,180, see rank | $1,188 | $920 |
ACS 2008-2012 data
Monthly Rental | 07871 Zip Code | New Jersey | U.S. |
Occupied Units Paying Rent | 547, 100% | 1,043,194 | 37,562,111 |
$199 or Less | 28, 5.12%, see rank | 1.58% | 1.76% |
$200 to $299 | 18, 3.29%, see rank | 3.12% | 3.29% |
$300 to $499 | 30, 5.48%, see rank | 3.93% | 8.20% |
$500 to $699 | 54, 9.87%, see rank | 5.25% | 17.39% |
$700 to $999 | 112, 20.48%, see rank | 21.16% | 29.40% |
$1,000 to $1,499 | 97, 17.73%, see rank | 40.53% | 25.73% |
$1,500 to $1,999 | 44, 8.04%, see rank | 15.64% | 8.92% |
$2,000 or More | 164, 29.98%, see rank | 8.78% | 5.30% |
Median | $1,118, see rank | $1,154 | $889 |
US Census 2000 data
Monthly Rental | 07871 Zip Code | New Jersey | U.S. |
Occupied Units Paying Rent | 584, 100% | 1,015,329 | 33,386,326 |
$199 or Less | 54, 9.25%, see rank | 4.89% | 5.52% |
$200 to $299 | 61, 10.45%, see rank | 3.31% | 5.45% |
$300 to $499 | 80, 13.70%, see rank | 8.84% | 23.18% |
$500 to $699 | 49, 8.39%, see rank | 24.55% | 29.57% |
$700 to $999 | 195, 33.39%, see rank | 39.21% | 24.06% |
$1,000 to $1,499 | 89, 15.24%, see rank | 14.69% | 9.15% |
$1,500 to $1,999 | 18, 3.08%, see rank | 3.04% | 2.05% |
$2,000 or More | 38, 6.51%, see rank | 1.46% | 1.02% |
Median | $778, 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.