21209 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 21209 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 4,848, 100% | 682,566 | 39,201,928 |
$199 or Less | 41, 0.85%, see rank | 1.63% | 1.50% |
$200 to $299 | 88, 1.82%, see rank | 2.77% | 3.18% |
$300 to $499 | 167, 3.44%, see rank | 3.76% | 7.37% |
$500 to $699 | 26, 0.54%, see rank | 5.52% | 16.01% |
$700 to $999 | 794, 16.38%, see rank | 18.21% | 29.17% |
$1,000 to $1,499 | 2,824, 58.25%, see rank | 37.53% | 26.88% |
$1,500 to $1,999 | 656, 13.53%, see rank | 19.46% | 9.79% |
$2,000 or More | 252, 5.20%, see rank | 11.13% | 6.10% |
Median | $1,162, see rank | $1,218 | $920 |
ACS 2008-2012 data
Monthly Rental | 21209 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 4,701, 100% | 657,078 | 37,562,111 |
$199 or Less | 57, 1.21%, see rank | 2.03% | 1.76% |
$200 to $299 | 66, 1.40%, see rank | 2.62% | 3.29% |
$300 to $499 | 143, 3.04%, see rank | 3.96% | 8.20% |
$500 to $699 | 45, 0.96%, see rank | 6.23% | 17.39% |
$700 to $999 | 1,010, 21.48%, see rank | 20.52% | 29.40% |
$1,000 to $1,499 | 2,523, 53.67%, see rank | 38.02% | 25.73% |
$1,500 to $1,999 | 588, 12.51%, see rank | 17.17% | 8.92% |
$2,000 or More | 269, 5.72%, see rank | 9.46% | 5.30% |
Median | $1,139, see rank | $1,172 | $889 |
US Census 2000 data
Monthly Rental | 21209 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 4,318, 100% | 605,225 | 33,386,326 |
$199 or Less | 149, 3.45%, see rank | 5.32% | 5.52% |
$200 to $299 | 99, 2.29%, see rank | 3.80% | 5.45% |
$300 to $499 | 188, 4.35%, see rank | 14.85% | 23.18% |
$500 to $699 | 1,061, 24.57%, see rank | 27.64% | 29.57% |
$700 to $999 | 2,378, 55.07%, see rank | 32.78% | 24.06% |
$1,000 to $1,499 | 420, 9.73%, see rank | 12.41% | 9.15% |
$1,500 to $1,999 | 14, 0.32%, see rank | 2.14% | 2.05% |
$2,000 or More | 9, 0.21%, see rank | 1.05% | 1.02% |
Median | $765, 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.