20874 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 20874 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 7,205, 100% | 682,566 | 39,201,928 |
$199 or Less | 60, 0.83%, see rank | 1.63% | 1.50% |
$200 to $299 | 45, 0.62%, see rank | 2.77% | 3.18% |
$300 to $499 | 15, 0.21%, see rank | 3.76% | 7.37% |
$500 to $699 | 68, 0.94%, see rank | 5.52% | 16.01% |
$700 to $999 | 316, 4.39%, see rank | 18.21% | 29.17% |
$1,000 to $1,499 | 2,552, 35.42%, see rank | 37.53% | 26.88% |
$1,500 to $1,999 | 3,283, 45.57%, see rank | 19.46% | 9.79% |
$2,000 or More | 866, 12.02%, see rank | 11.13% | 6.10% |
Median | $1,583, see rank | $1,218 | $920 |
ACS 2008-2012 data
Monthly Rental | 20874 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 6,847, 100% | 657,078 | 37,562,111 |
$199 or Less | 43, 0.63%, see rank | 2.03% | 1.76% |
$200 to $299 | 58, 0.85%, see rank | 2.62% | 3.29% |
$300 to $499 | 22, 0.32%, see rank | 3.96% | 8.20% |
$500 to $699 | 56, 0.82%, see rank | 6.23% | 17.39% |
$700 to $999 | 354, 5.17%, see rank | 20.52% | 29.40% |
$1,000 to $1,499 | 2,804, 40.95%, see rank | 38.02% | 25.73% |
$1,500 to $1,999 | 2,638, 38.53%, see rank | 17.17% | 8.92% |
$2,000 or More | 872, 12.74%, see rank | 9.46% | 5.30% |
Median | $1,516, see rank | $1,172 | $889 |
US Census 2000 data
Monthly Rental | 20874 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 5,671, 100% | 605,225 | 33,386,326 |
$199 or Less | 69, 1.22%, see rank | 5.32% | 5.52% |
$200 to $299 | 83, 1.46%, see rank | 3.80% | 5.45% |
$300 to $499 | 91, 1.60%, see rank | 14.85% | 23.18% |
$500 to $699 | 404, 7.12%, see rank | 27.64% | 29.57% |
$700 to $999 | 2,982, 52.58%, see rank | 32.78% | 24.06% |
$1,000 to $1,499 | 1,924, 33.93%, see rank | 12.41% | 9.15% |
$1,500 to $1,999 | 113, 1.99%, see rank | 2.14% | 2.05% |
$2,000 or More | 5, 0.09%, see rank | 1.05% | 1.02% |
Median | $944, 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.