20748 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 20748 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 6,265, 100% | 682,566 | 39,201,928 |
$199 or Less | 38, 0.61%, see rank | 1.63% | 1.50% |
$200 to $299 | 47, 0.75%, see rank | 2.77% | 3.18% |
$300 to $499 | 91, 1.45%, see rank | 3.76% | 7.37% |
$500 to $699 | 86, 1.37%, see rank | 5.52% | 16.01% |
$700 to $999 | 1,004, 16.03%, see rank | 18.21% | 29.17% |
$1,000 to $1,499 | 4,057, 64.76%, see rank | 37.53% | 26.88% |
$1,500 to $1,999 | 608, 9.70%, see rank | 19.46% | 9.79% |
$2,000 or More | 334, 5.33%, see rank | 11.13% | 6.10% |
Median | $1,195, see rank | $1,218 | $920 |
ACS 2008-2012 data
Monthly Rental | 20748 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 6,225, 100% | 657,078 | 37,562,111 |
$199 or Less | 18, 0.29%, see rank | 2.03% | 1.76% |
$200 to $299 | 17, 0.27%, see rank | 2.62% | 3.29% |
$300 to $499 | 137, 2.20%, see rank | 3.96% | 8.20% |
$500 to $699 | 68, 1.09%, see rank | 6.23% | 17.39% |
$700 to $999 | 1,291, 20.74%, see rank | 20.52% | 29.40% |
$1,000 to $1,499 | 3,682, 59.15%, see rank | 38.02% | 25.73% |
$1,500 to $1,999 | 713, 11.45%, see rank | 17.17% | 8.92% |
$2,000 or More | 299, 4.80%, see rank | 9.46% | 5.30% |
Median | $1,157, see rank | $1,172 | $889 |
US Census 2000 data
Monthly Rental | 20748 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 6,408, 100% | 605,225 | 33,386,326 |
$199 or Less | 42, 0.66%, see rank | 5.32% | 5.52% |
$200 to $299 | 24, 0.37%, see rank | 3.80% | 5.45% |
$300 to $499 | 147, 2.29%, see rank | 14.85% | 23.18% |
$500 to $699 | 2,512, 39.20%, see rank | 27.64% | 29.57% |
$700 to $999 | 3,180, 49.63%, see rank | 32.78% | 24.06% |
$1,000 to $1,499 | 472, 7.37%, see rank | 12.41% | 9.15% |
$1,500 to $1,999 | 31, 0.48%, see rank | 2.14% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 1.05% | 1.02% |
Median | $731, 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.