20886 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 20886 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 3,108, 100% | 682,566 | 39,201,928 |
$199 or Less | 24, 0.77%, see rank | 1.63% | 1.50% |
$200 to $299 | 14, 0.45%, see rank | 2.77% | 3.18% |
$300 to $499 | 49, 1.58%, see rank | 3.76% | 7.37% |
$500 to $699 | 0, 0.00%, see rank | 5.52% | 16.01% |
$700 to $999 | 145, 4.67%, see rank | 18.21% | 29.17% |
$1,000 to $1,499 | 1,536, 49.42%, see rank | 37.53% | 26.88% |
$1,500 to $1,999 | 915, 29.44%, see rank | 19.46% | 9.79% |
$2,000 or More | 425, 13.67%, see rank | 11.13% | 6.10% |
Median | $1,430, see rank | $1,218 | $920 |
ACS 2008-2012 data
Monthly Rental | 20886 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 3,166, 100% | 657,078 | 37,562,111 |
$199 or Less | 15, 0.47%, see rank | 2.03% | 1.76% |
$200 to $299 | 10, 0.32%, see rank | 2.62% | 3.29% |
$300 to $499 | 20, 0.63%, see rank | 3.96% | 8.20% |
$500 to $699 | 53, 1.67%, see rank | 6.23% | 17.39% |
$700 to $999 | 206, 6.51%, see rank | 20.52% | 29.40% |
$1,000 to $1,499 | 1,560, 49.27%, see rank | 38.02% | 25.73% |
$1,500 to $1,999 | 799, 25.24%, see rank | 17.17% | 8.92% |
$2,000 or More | 503, 15.89%, see rank | 9.46% | 5.30% |
Median | $1,418, see rank | $1,172 | $889 |
US Census 2000 data
Monthly Rental | 20886 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 3,673, 100% | 605,225 | 33,386,326 |
$199 or Less | 32, 0.87%, see rank | 5.32% | 5.52% |
$200 to $299 | 30, 0.82%, see rank | 3.80% | 5.45% |
$300 to $499 | 126, 3.43%, see rank | 14.85% | 23.18% |
$500 to $699 | 156, 4.25%, see rank | 27.64% | 29.57% |
$700 to $999 | 1,874, 51.02%, see rank | 32.78% | 24.06% |
$1,000 to $1,499 | 1,267, 34.49%, see rank | 12.41% | 9.15% |
$1,500 to $1,999 | 115, 3.13%, see rank | 2.14% | 2.05% |
$2,000 or More | 73, 1.99%, see rank | 1.05% | 1.02% |
Median | $926, 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.