19970 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 19970 Zip Code | Delaware | U.S. |
| Occupied Units Paying Rent | 549, 100% | 91,438 | 39,201,928 |
| $199 or Less | 0, 0.00%, see rank | 1.57% | 1.50% |
| $200 to $299 | 0, 0.00%, see rank | 2.87% | 3.18% |
| $300 to $499 | 0, 0.00%, see rank | 5.26% | 7.37% |
| $500 to $699 | 5, 0.91%, see rank | 8.25% | 16.01% |
| $700 to $999 | 113, 20.58%, see rank | 30.91% | 29.17% |
| $1,000 to $1,499 | 275, 50.09%, see rank | 37.49% | 26.88% |
| $1,500 to $1,999 | 114, 20.77%, see rank | 10.79% | 9.79% |
| $2,000 or More | 42, 7.65%, see rank | 2.85% | 6.10% |
| Median | $1,248, see rank | $1,012 | $920 |
ACS 2008-2012 data
| Monthly Rental | 19970 Zip Code | Delaware | U.S. |
| Occupied Units Paying Rent | 404, 100% | 86,868 | 37,562,111 |
| $199 or Less | 0, 0.00%, see rank | 1.82% | 1.76% |
| $200 to $299 | 0, 0.00%, see rank | 2.93% | 3.29% |
| $300 to $499 | 0, 0.00%, see rank | 5.64% | 8.20% |
| $500 to $699 | 0, 0.00%, see rank | 8.82% | 17.39% |
| $700 to $999 | 108, 26.73%, see rank | 32.60% | 29.40% |
| $1,000 to $1,499 | 181, 44.80%, see rank | 35.76% | 25.73% |
| $1,500 to $1,999 | 80, 19.80%, see rank | 9.96% | 8.92% |
| $2,000 or More | 35, 8.66%, see rank | 2.46% | 5.30% |
| Median | $1,224, see rank | $985 | $889 |
US Census 2000 data
| Monthly Rental | 19970 Zip Code | Delaware | U.S. |
| Occupied Units Paying Rent | 133, 100% | 77,188 | 33,386,326 |
| $199 or Less | 0, 0.00%, see rank | 6.26% | 5.52% |
| $200 to $299 | 2, 1.50%, see rank | 4.49% | 5.45% |
| $300 to $499 | 31, 23.31%, see rank | 15.13% | 23.18% |
| $500 to $699 | 65, 48.87%, see rank | 36.27% | 29.57% |
| $700 to $999 | 35, 26.32%, see rank | 28.47% | 24.06% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 7.37% | 9.15% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 0.81% | 2.05% |
| $2,000 or More | 0, 0.00%, see rank | 1.19% | 1.02% |
| Median | $568, 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.
