10507 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 10507 Zip Code | New York | U.S. |
Occupied Units Paying Rent | 903, 100% | 3,233,100 | 39,201,928 |
$199 or Less | 16, 1.77%, see rank | 1.14% | 1.50% |
$200 to $299 | 0, 0.00%, see rank | 4.22% | 3.18% |
$300 to $499 | 0, 0.00%, see rank | 6.44% | 7.37% |
$500 to $699 | 136, 15.06%, see rank | 10.26% | 16.01% |
$700 to $999 | 114, 12.62%, see rank | 19.86% | 29.17% |
$1,000 to $1,499 | 284, 31.45%, see rank | 30.47% | 26.88% |
$1,500 to $1,999 | 214, 23.70%, see rank | 15.24% | 9.79% |
$2,000 or More | 139, 15.39%, see rank | 12.38% | 6.10% |
Median | $1,413, see rank | $1,117 | $920 |
ACS 2008-2012 data
Monthly Rental | 10507 Zip Code | New York | U.S. |
Occupied Units Paying Rent | 733, 100% | 3,177,534 | 37,562,111 |
$199 or Less | 26, 3.55%, see rank | 1.29% | 1.76% |
$200 to $299 | 0, 0.00%, see rank | 4.37% | 3.29% |
$300 to $499 | 49, 6.68%, see rank | 6.93% | 8.20% |
$500 to $699 | 102, 13.92%, see rank | 11.54% | 17.39% |
$700 to $999 | 64, 8.73%, see rank | 21.63% | 29.40% |
$1,000 to $1,499 | 184, 25.10%, see rank | 29.98% | 25.73% |
$1,500 to $1,999 | 160, 21.83%, see rank | 13.65% | 8.92% |
$2,000 or More | 148, 20.19%, see rank | 10.63% | 5.30% |
Median | $1,421, see rank | $1,061 | $889 |
US Census 2000 data
Monthly Rental | 10507 Zip Code | New York | U.S. |
Occupied Units Paying Rent | 816, 100% | 3,200,045 | 33,386,326 |
$199 or Less | 0, 0.00%, see rank | 5.63% | 5.52% |
$200 to $299 | 18, 2.21%, see rank | 4.94% | 5.45% |
$300 to $499 | 85, 10.42%, see rank | 16.18% | 23.18% |
$500 to $699 | 65, 7.97%, see rank | 27.05% | 29.57% |
$700 to $999 | 253, 31.00%, see rank | 28.35% | 24.06% |
$1,000 to $1,499 | 286, 35.05%, see rank | 12.20% | 9.15% |
$1,500 to $1,999 | 93, 11.40%, see rank | 3.15% | 2.05% |
$2,000 or More | 16, 1.96%, see rank | 2.50% | 1.02% |
Median | $992, see rank | $672 | $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.