21205 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 21205 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 3,395, 100% | 682,566 | 39,201,928 |
$199 or Less | 174, 5.13%, see rank | 1.63% | 1.50% |
$200 to $299 | 227, 6.69%, see rank | 2.77% | 3.18% |
$300 to $499 | 461, 13.58%, see rank | 3.76% | 7.37% |
$500 to $699 | 597, 17.58%, see rank | 5.52% | 16.01% |
$700 to $999 | 695, 20.47%, see rank | 18.21% | 29.17% |
$1,000 to $1,499 | 1,084, 31.93%, see rank | 37.53% | 26.88% |
$1,500 to $1,999 | 144, 4.24%, see rank | 19.46% | 9.79% |
$2,000 or More | 13, 0.38%, see rank | 11.13% | 6.10% |
Median | $813, see rank | $1,218 | $920 |
ACS 2008-2012 data
Monthly Rental | 21205 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 3,294, 100% | 657,078 | 37,562,111 |
$199 or Less | 98, 2.98%, see rank | 2.03% | 1.76% |
$200 to $299 | 184, 5.59%, see rank | 2.62% | 3.29% |
$300 to $499 | 578, 17.55%, see rank | 3.96% | 8.20% |
$500 to $699 | 573, 17.40%, see rank | 6.23% | 17.39% |
$700 to $999 | 626, 19.00%, see rank | 20.52% | 29.40% |
$1,000 to $1,499 | 1,083, 32.88%, see rank | 38.02% | 25.73% |
$1,500 to $1,999 | 139, 4.22%, see rank | 17.17% | 8.92% |
$2,000 or More | 13, 0.39%, see rank | 9.46% | 5.30% |
Median | $786, see rank | $1,172 | $889 |
US Census 2000 data
Monthly Rental | 21205 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 2,947, 100% | 605,225 | 33,386,326 |
$199 or Less | 395, 13.40%, see rank | 5.32% | 5.52% |
$200 to $299 | 363, 12.32%, see rank | 3.80% | 5.45% |
$300 to $499 | 1,134, 38.48%, see rank | 14.85% | 23.18% |
$500 to $699 | 694, 23.55%, see rank | 27.64% | 29.57% |
$700 to $999 | 278, 9.43%, see rank | 32.78% | 24.06% |
$1,000 to $1,499 | 69, 2.34%, see rank | 12.41% | 9.15% |
$1,500 to $1,999 | 14, 0.48%, see rank | 2.14% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 1.05% | 1.02% |
Median | $427, 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.