21030 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 21030 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 5,307, 100% | 682,566 | 39,201,928 |
$199 or Less | 16, 0.30%, see rank | 1.63% | 1.50% |
$200 to $299 | 0, 0.00%, see rank | 2.77% | 3.18% |
$300 to $499 | 54, 1.02%, see rank | 3.76% | 7.37% |
$500 to $699 | 46, 0.87%, see rank | 5.52% | 16.01% |
$700 to $999 | 1,337, 25.19%, see rank | 18.21% | 29.17% |
$1,000 to $1,499 | 3,216, 60.60%, see rank | 37.53% | 26.88% |
$1,500 to $1,999 | 427, 8.05%, see rank | 19.46% | 9.79% |
$2,000 or More | 211, 3.98%, see rank | 11.13% | 6.10% |
Median | $1,140, see rank | $1,218 | $920 |
ACS 2008-2012 data
Monthly Rental | 21030 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 5,581, 100% | 657,078 | 37,562,111 |
$199 or Less | 16, 0.29%, see rank | 2.03% | 1.76% |
$200 to $299 | 0, 0.00%, see rank | 2.62% | 3.29% |
$300 to $499 | 85, 1.52%, see rank | 3.96% | 8.20% |
$500 to $699 | 103, 1.85%, see rank | 6.23% | 17.39% |
$700 to $999 | 1,887, 33.81%, see rank | 20.52% | 29.40% |
$1,000 to $1,499 | 2,911, 52.16%, see rank | 38.02% | 25.73% |
$1,500 to $1,999 | 381, 6.83%, see rank | 17.17% | 8.92% |
$2,000 or More | 198, 3.55%, see rank | 9.46% | 5.30% |
Median | $1,083, see rank | $1,172 | $889 |
US Census 2000 data
Monthly Rental | 21030 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 5,906, 100% | 605,225 | 33,386,326 |
$199 or Less | 14, 0.24%, see rank | 5.32% | 5.52% |
$200 to $299 | 26, 0.44%, see rank | 3.80% | 5.45% |
$300 to $499 | 189, 3.20%, see rank | 14.85% | 23.18% |
$500 to $699 | 2,363, 40.01%, see rank | 27.64% | 29.57% |
$700 to $999 | 2,742, 46.43%, see rank | 32.78% | 24.06% |
$1,000 to $1,499 | 301, 5.10%, see rank | 12.41% | 9.15% |
$1,500 to $1,999 | 50, 0.85%, see rank | 2.14% | 2.05% |
$2,000 or More | 221, 3.74%, see rank | 1.05% | 1.02% |
Median | $726, 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.