12804 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 12804 Zip Code | New York | U.S. |
Occupied Units Paying Rent | 2,813, 100% | 3,233,100 | 39,201,928 |
$199 or Less | 13, 0.46%, see rank | 1.14% | 1.50% |
$200 to $299 | 95, 3.38%, see rank | 4.22% | 3.18% |
$300 to $499 | 115, 4.09%, see rank | 6.44% | 7.37% |
$500 to $699 | 175, 6.22%, see rank | 10.26% | 16.01% |
$700 to $999 | 1,126, 40.03%, see rank | 19.86% | 29.17% |
$1,000 to $1,499 | 1,041, 37.01%, see rank | 30.47% | 26.88% |
$1,500 to $1,999 | 140, 4.98%, see rank | 15.24% | 9.79% |
$2,000 or More | 108, 3.84%, see rank | 12.38% | 6.10% |
Median | $944, see rank | $1,117 | $920 |
ACS 2008-2012 data
Monthly Rental | 12804 Zip Code | New York | U.S. |
Occupied Units Paying Rent | 3,054, 100% | 3,177,534 | 37,562,111 |
$199 or Less | 12, 0.39%, see rank | 1.29% | 1.76% |
$200 to $299 | 129, 4.22%, see rank | 4.37% | 3.29% |
$300 to $499 | 82, 2.69%, see rank | 6.93% | 8.20% |
$500 to $699 | 296, 9.69%, see rank | 11.54% | 17.39% |
$700 to $999 | 1,444, 47.28%, see rank | 21.63% | 29.40% |
$1,000 to $1,499 | 915, 29.96%, see rank | 29.98% | 25.73% |
$1,500 to $1,999 | 86, 2.82%, see rank | 13.65% | 8.92% |
$2,000 or More | 90, 2.95%, see rank | 10.63% | 5.30% |
Median | $877, see rank | $1,061 | $889 |
US Census 2000 data
Monthly Rental | 12804 Zip Code | New York | U.S. |
Occupied Units Paying Rent | 2,189, 100% | 3,200,045 | 33,386,326 |
$199 or Less | 81, 3.70%, see rank | 5.63% | 5.52% |
$200 to $299 | 70, 3.20%, see rank | 4.94% | 5.45% |
$300 to $499 | 304, 13.89%, see rank | 16.18% | 23.18% |
$500 to $699 | 879, 40.16%, see rank | 27.05% | 29.57% |
$700 to $999 | 785, 35.86%, see rank | 28.35% | 24.06% |
$1,000 to $1,499 | 48, 2.19%, see rank | 12.20% | 9.15% |
$1,500 to $1,999 | 22, 1.01%, see rank | 3.15% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 2.50% | 1.02% |
Median | $646, 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.