Landover, MD Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | Landover, MD | Maryland | U.S. |
Occupied Units Paying Rent | 4,409, 100% | 682,566 | 39,201,928 |
$199 or Less | 84, 1.91%, see rank | 1.63% | 1.50% |
$200 to $299 | 23, 0.52%, see rank | 2.77% | 3.18% |
$300 to $499 | 50, 1.13%, see rank | 3.76% | 7.37% |
$500 to $699 | 101, 2.29%, see rank | 5.52% | 16.01% |
$700 to $999 | 534, 12.11%, see rank | 18.21% | 29.17% |
$1,000 to $1,499 | 2,604, 59.06%, see rank | 37.53% | 26.88% |
$1,500 to $1,999 | 728, 16.51%, see rank | 19.46% | 9.79% |
$2,000 or More | 285, 6.46%, see rank | 11.13% | 6.10% |
Median | $1,222, see rank | $1,218 | $920 |
ACS 2008-2012 data
Monthly Rental | Landover, MD | Maryland | U.S. |
Occupied Units Paying Rent | 4,099, 100% | 657,078 | 37,562,111 |
$199 or Less | 90, 2.20%, see rank | 2.03% | 1.76% |
$200 to $299 | 51, 1.24%, see rank | 2.62% | 3.29% |
$300 to $499 | 99, 2.42%, see rank | 3.96% | 8.20% |
$500 to $699 | 20, 0.49%, see rank | 6.23% | 17.39% |
$700 to $999 | 553, 13.49%, see rank | 20.52% | 29.40% |
$1,000 to $1,499 | 2,530, 61.72%, see rank | 38.02% | 25.73% |
$1,500 to $1,999 | 516, 12.59%, see rank | 17.17% | 8.92% |
$2,000 or More | 240, 5.86%, see rank | 9.46% | 5.30% |
Median | $1,185, see rank | $1,172 | $889 |
ACS 2006-2010 data
Monthly Rental | Landover, MD | Maryland | U.S. |
Occupied Units Paying Rent | 4,095, 100% | 630,007 | 35,969,315 |
$199 or Less | 9, 0.22%, see rank | 2.55% | 2.25% |
$200 to $299 | 43, 1.05%, see rank | 2.47% | 3.41% |
$300 to $499 | 107, 2.61%, see rank | 4.49% | 9.80% |
$500 to $699 | 27, 0.66%, see rank | 7.83% | 19.41% |
$700 to $999 | 1,115, 27.23%, see rank | 24.63% | 29.88% |
$1,000 to $1,499 | 2,279, 55.65%, see rank | 37.70% | 23.51% |
$1,500 to $1,999 | 340, 8.30%, see rank | 13.59% | 7.56% |
$2,000 or More | 175, 4.27%, see rank | 6.75% | 4.16% |
Median | $1,133, see rank | $1,091 | $841 |
* 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.