20707 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 20707 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 4,775, 100% | 682,566 | 39,201,928 |
$199 or Less | 7, 0.15%, see rank | 1.63% | 1.50% |
$200 to $299 | 22, 0.46%, see rank | 2.77% | 3.18% |
$300 to $499 | 15, 0.31%, see rank | 3.76% | 7.37% |
$500 to $699 | 97, 2.03%, see rank | 5.52% | 16.01% |
$700 to $999 | 563, 11.79%, see rank | 18.21% | 29.17% |
$1,000 to $1,499 | 2,094, 43.85%, see rank | 37.53% | 26.88% |
$1,500 to $1,999 | 1,294, 27.10%, see rank | 19.46% | 9.79% |
$2,000 or More | 683, 14.30%, see rank | 11.13% | 6.10% |
Median | $1,394, see rank | $1,218 | $920 |
ACS 2008-2012 data
Monthly Rental | 20707 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 4,324, 100% | 657,078 | 37,562,111 |
$199 or Less | 8, 0.19%, see rank | 2.03% | 1.76% |
$200 to $299 | 18, 0.42%, see rank | 2.62% | 3.29% |
$300 to $499 | 25, 0.58%, see rank | 3.96% | 8.20% |
$500 to $699 | 94, 2.17%, see rank | 6.23% | 17.39% |
$700 to $999 | 748, 17.30%, see rank | 20.52% | 29.40% |
$1,000 to $1,499 | 2,127, 49.19%, see rank | 38.02% | 25.73% |
$1,500 to $1,999 | 974, 22.53%, see rank | 17.17% | 8.92% |
$2,000 or More | 330, 7.63%, see rank | 9.46% | 5.30% |
Median | $1,238, see rank | $1,172 | $889 |
US Census 2000 data
Monthly Rental | 20707 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 4,388, 100% | 605,225 | 33,386,326 |
$199 or Less | 34, 0.77%, see rank | 5.32% | 5.52% |
$200 to $299 | 15, 0.34%, see rank | 3.80% | 5.45% |
$300 to $499 | 166, 3.78%, see rank | 14.85% | 23.18% |
$500 to $699 | 1,404, 32.00%, see rank | 27.64% | 29.57% |
$700 to $999 | 1,947, 44.37%, see rank | 32.78% | 24.06% |
$1,000 to $1,499 | 766, 17.46%, see rank | 12.41% | 9.15% |
$1,500 to $1,999 | 48, 1.09%, see rank | 2.14% | 2.05% |
$2,000 or More | 8, 0.18%, see rank | 1.05% | 1.02% |
Median | $769, see rank | $689 | $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.