19713 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 19713 Zip Code | Delaware | U.S. |
Occupied Units Paying Rent | 4,363, 100% | 91,438 | 39,201,928 |
$199 or Less | 42, 0.96%, see rank | 1.57% | 1.50% |
$200 to $299 | 62, 1.42%, see rank | 2.87% | 3.18% |
$300 to $499 | 163, 3.74%, see rank | 5.26% | 7.37% |
$500 to $699 | 151, 3.46%, see rank | 8.25% | 16.01% |
$700 to $999 | 1,939, 44.44%, see rank | 30.91% | 29.17% |
$1,000 to $1,499 | 1,596, 36.58%, see rank | 37.49% | 26.88% |
$1,500 to $1,999 | 373, 8.55%, see rank | 10.79% | 9.79% |
$2,000 or More | 37, 0.85%, see rank | 2.85% | 6.10% |
Median | $980, see rank | $1,012 | $920 |
ACS 2008-2012 data
Monthly Rental | 19713 Zip Code | Delaware | U.S. |
Occupied Units Paying Rent | 4,317, 100% | 86,868 | 37,562,111 |
$199 or Less | 54, 1.25%, see rank | 1.82% | 1.76% |
$200 to $299 | 49, 1.14%, see rank | 2.93% | 3.29% |
$300 to $499 | 154, 3.57%, see rank | 5.64% | 8.20% |
$500 to $699 | 138, 3.20%, see rank | 8.82% | 17.39% |
$700 to $999 | 2,097, 48.58%, see rank | 32.60% | 29.40% |
$1,000 to $1,499 | 1,379, 31.94%, see rank | 35.76% | 25.73% |
$1,500 to $1,999 | 414, 9.59%, see rank | 9.96% | 8.92% |
$2,000 or More | 32, 0.74%, see rank | 2.46% | 5.30% |
Median | $960, see rank | $985 | $889 |
US Census 2000 data
Monthly Rental | 19713 Zip Code | Delaware | U.S. |
Occupied Units Paying Rent | 4,269, 100% | 77,188 | 33,386,326 |
$199 or Less | 159, 3.72%, see rank | 6.26% | 5.52% |
$200 to $299 | 132, 3.09%, see rank | 4.49% | 5.45% |
$300 to $499 | 208, 4.87%, see rank | 15.13% | 23.18% |
$500 to $699 | 2,387, 55.91%, see rank | 36.27% | 29.57% |
$700 to $999 | 1,115, 26.12%, see rank | 28.47% | 24.06% |
$1,000 to $1,499 | 236, 5.53%, see rank | 7.37% | 9.15% |
$1,500 to $1,999 | 6, 0.14%, see rank | 0.81% | 2.05% |
$2,000 or More | 26, 0.61%, see rank | 1.19% | 1.02% |
Median | $649, 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.