14456 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 14456 Zip Code | New York | U.S. |
Occupied Units Paying Rent | 2,888, 100% | 3,233,100 | 39,201,928 |
$199 or Less | 63, 2.18%, see rank | 1.14% | 1.50% |
$200 to $299 | 127, 4.40%, see rank | 4.22% | 3.18% |
$300 to $499 | 270, 9.35%, see rank | 6.44% | 7.37% |
$500 to $699 | 911, 31.54%, see rank | 10.26% | 16.01% |
$700 to $999 | 1,148, 39.75%, see rank | 19.86% | 29.17% |
$1,000 to $1,499 | 246, 8.52%, see rank | 30.47% | 26.88% |
$1,500 to $1,999 | 17, 0.59%, see rank | 15.24% | 9.79% |
$2,000 or More | 106, 3.67%, see rank | 12.38% | 6.10% |
Median | $710, see rank | $1,117 | $920 |
ACS 2008-2012 data
Monthly Rental | 14456 Zip Code | New York | U.S. |
Occupied Units Paying Rent | 2,866, 100% | 3,177,534 | 37,562,111 |
$199 or Less | 89, 3.11%, see rank | 1.29% | 1.76% |
$200 to $299 | 112, 3.91%, see rank | 4.37% | 3.29% |
$300 to $499 | 277, 9.67%, see rank | 6.93% | 8.20% |
$500 to $699 | 892, 31.12%, see rank | 11.54% | 17.39% |
$700 to $999 | 1,090, 38.03%, see rank | 21.63% | 29.40% |
$1,000 to $1,499 | 243, 8.48%, see rank | 29.98% | 25.73% |
$1,500 to $1,999 | 30, 1.05%, see rank | 13.65% | 8.92% |
$2,000 or More | 133, 4.64%, see rank | 10.63% | 5.30% |
Median | $715, see rank | $1,061 | $889 |
US Census 2000 data
Monthly Rental | 14456 Zip Code | New York | U.S. |
Occupied Units Paying Rent | 2,731, 100% | 3,200,045 | 33,386,326 |
$199 or Less | 143, 5.24%, see rank | 5.63% | 5.52% |
$200 to $299 | 167, 6.11%, see rank | 4.94% | 5.45% |
$300 to $499 | 1,087, 39.80%, see rank | 16.18% | 23.18% |
$500 to $699 | 902, 33.03%, see rank | 27.05% | 29.57% |
$700 to $999 | 385, 14.10%, see rank | 28.35% | 24.06% |
$1,000 to $1,499 | 47, 1.72%, see rank | 12.20% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 3.15% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 2.50% | 1.02% |
Median | $496, 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.