11001 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 11001 Zip Code | New York | U.S. |
Occupied Units Paying Rent | 1,690, 100% | 3,233,100 | 39,201,928 |
$199 or Less | 0, 0.00%, see rank | 1.14% | 1.50% |
$200 to $299 | 0, 0.00%, see rank | 4.22% | 3.18% |
$300 to $499 | 9, 0.53%, see rank | 6.44% | 7.37% |
$500 to $699 | 26, 1.54%, see rank | 10.26% | 16.01% |
$700 to $999 | 126, 7.46%, see rank | 19.86% | 29.17% |
$1,000 to $1,499 | 738, 43.67%, see rank | 30.47% | 26.88% |
$1,500 to $1,999 | 603, 35.68%, see rank | 15.24% | 9.79% |
$2,000 or More | 188, 11.12%, see rank | 12.38% | 6.10% |
Median | $1,460, see rank | $1,117 | $920 |
ACS 2008-2012 data
Monthly Rental | 11001 Zip Code | New York | U.S. |
Occupied Units Paying Rent | 1,455, 100% | 3,177,534 | 37,562,111 |
$199 or Less | 0, 0.00%, see rank | 1.29% | 1.76% |
$200 to $299 | 0, 0.00%, see rank | 4.37% | 3.29% |
$300 to $499 | 0, 0.00%, see rank | 6.93% | 8.20% |
$500 to $699 | 16, 1.10%, see rank | 11.54% | 17.39% |
$700 to $999 | 201, 13.81%, see rank | 21.63% | 29.40% |
$1,000 to $1,499 | 591, 40.62%, see rank | 29.98% | 25.73% |
$1,500 to $1,999 | 443, 30.45%, see rank | 13.65% | 8.92% |
$2,000 or More | 204, 14.02%, see rank | 10.63% | 5.30% |
Median | $1,418, see rank | $1,061 | $889 |
US Census 2000 data
Monthly Rental | 11001 Zip Code | New York | U.S. |
Occupied Units Paying Rent | 1,647, 100% | 3,200,045 | 33,386,326 |
$199 or Less | 6, 0.36%, see rank | 5.63% | 5.52% |
$200 to $299 | 0, 0.00%, see rank | 4.94% | 5.45% |
$300 to $499 | 108, 6.56%, see rank | 16.18% | 23.18% |
$500 to $699 | 214, 12.99%, see rank | 27.05% | 29.57% |
$700 to $999 | 744, 45.17%, see rank | 28.35% | 24.06% |
$1,000 to $1,499 | 540, 32.79%, see rank | 12.20% | 9.15% |
$1,500 to $1,999 | 35, 2.13%, see rank | 3.15% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 2.50% | 1.02% |
Median | $877, 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.