19802 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 19802 Zip Code | Delaware | U.S. |
Occupied Units Paying Rent | 4,586, 100% | 91,438 | 39,201,928 |
$199 or Less | 177, 3.86%, see rank | 1.57% | 1.50% |
$200 to $299 | 295, 6.43%, see rank | 2.87% | 3.18% |
$300 to $499 | 518, 11.30%, see rank | 5.26% | 7.37% |
$500 to $699 | 413, 9.01%, see rank | 8.25% | 16.01% |
$700 to $999 | 1,319, 28.76%, see rank | 30.91% | 29.17% |
$1,000 to $1,499 | 1,548, 33.75%, see rank | 37.49% | 26.88% |
$1,500 to $1,999 | 305, 6.65%, see rank | 10.79% | 9.79% |
$2,000 or More | 11, 0.24%, see rank | 2.85% | 6.10% |
Median | $920, see rank | $1,012 | $920 |
ACS 2008-2012 data
Monthly Rental | 19802 Zip Code | Delaware | U.S. |
Occupied Units Paying Rent | 4,528, 100% | 86,868 | 37,562,111 |
$199 or Less | 196, 4.33%, see rank | 1.82% | 1.76% |
$200 to $299 | 272, 6.01%, see rank | 2.93% | 3.29% |
$300 to $499 | 336, 7.42%, see rank | 5.64% | 8.20% |
$500 to $699 | 572, 12.63%, see rank | 8.82% | 17.39% |
$700 to $999 | 1,291, 28.51%, see rank | 32.60% | 29.40% |
$1,000 to $1,499 | 1,611, 35.58%, see rank | 35.76% | 25.73% |
$1,500 to $1,999 | 240, 5.30%, see rank | 9.96% | 8.92% |
$2,000 or More | 10, 0.22%, see rank | 2.46% | 5.30% |
Median | $911, see rank | $985 | $889 |
US Census 2000 data
Monthly Rental | 19802 Zip Code | Delaware | U.S. |
Occupied Units Paying Rent | 4,405, 100% | 77,188 | 33,386,326 |
$199 or Less | 676, 15.35%, see rank | 6.26% | 5.52% |
$200 to $299 | 425, 9.65%, see rank | 4.49% | 5.45% |
$300 to $499 | 538, 12.21%, see rank | 15.13% | 23.18% |
$500 to $699 | 1,309, 29.72%, see rank | 36.27% | 29.57% |
$700 to $999 | 1,124, 25.52%, see rank | 28.47% | 24.06% |
$1,000 to $1,499 | 312, 7.08%, see rank | 7.37% | 9.15% |
$1,500 to $1,999 | 21, 0.48%, see rank | 0.81% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 1.19% | 1.02% |
Median | $606, see rank | $639 | $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.