21550 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 21550 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 1,361, 100% | 682,566 | 39,201,928 |
$199 or Less | 77, 5.66%, see rank | 1.63% | 1.50% |
$200 to $299 | 113, 8.30%, see rank | 2.77% | 3.18% |
$300 to $499 | 261, 19.18%, see rank | 3.76% | 7.37% |
$500 to $699 | 303, 22.26%, see rank | 5.52% | 16.01% |
$700 to $999 | 416, 30.57%, see rank | 18.21% | 29.17% |
$1,000 to $1,499 | 170, 12.49%, see rank | 37.53% | 26.88% |
$1,500 to $1,999 | 5, 0.37%, see rank | 19.46% | 9.79% |
$2,000 or More | 16, 1.18%, see rank | 11.13% | 6.10% |
Median | $661, see rank | $1,218 | $920 |
ACS 2008-2012 data
Monthly Rental | 21550 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 1,372, 100% | 657,078 | 37,562,111 |
$199 or Less | 50, 3.64%, see rank | 2.03% | 1.76% |
$200 to $299 | 110, 8.02%, see rank | 2.62% | 3.29% |
$300 to $499 | 352, 25.66%, see rank | 3.96% | 8.20% |
$500 to $699 | 321, 23.40%, see rank | 6.23% | 17.39% |
$700 to $999 | 298, 21.72%, see rank | 20.52% | 29.40% |
$1,000 to $1,499 | 152, 11.08%, see rank | 38.02% | 25.73% |
$1,500 to $1,999 | 41, 2.99%, see rank | 17.17% | 8.92% |
$2,000 or More | 48, 3.50%, see rank | 9.46% | 5.30% |
Median | $607, see rank | $1,172 | $889 |
US Census 2000 data
Monthly Rental | 21550 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 1,167, 100% | 605,225 | 33,386,326 |
$199 or Less | 166, 14.22%, see rank | 5.32% | 5.52% |
$200 to $299 | 129, 11.05%, see rank | 3.80% | 5.45% |
$300 to $499 | 512, 43.87%, see rank | 14.85% | 23.18% |
$500 to $699 | 266, 22.79%, see rank | 27.64% | 29.57% |
$700 to $999 | 72, 6.17%, see rank | 32.78% | 24.06% |
$1,000 to $1,499 | 22, 1.89%, see rank | 12.41% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 2.14% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 1.05% | 1.02% |
Median | $390, 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.