21014 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 21014 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 2,591, 100% | 682,566 | 39,201,928 |
$199 or Less | 112, 4.32%, see rank | 1.63% | 1.50% |
$200 to $299 | 60, 2.32%, see rank | 2.77% | 3.18% |
$300 to $499 | 92, 3.55%, see rank | 3.76% | 7.37% |
$500 to $699 | 109, 4.21%, see rank | 5.52% | 16.01% |
$700 to $999 | 438, 16.90%, see rank | 18.21% | 29.17% |
$1,000 to $1,499 | 1,359, 52.45%, see rank | 37.53% | 26.88% |
$1,500 to $1,999 | 268, 10.34%, see rank | 19.46% | 9.79% |
$2,000 or More | 153, 5.91%, see rank | 11.13% | 6.10% |
Median | $1,133, see rank | $1,218 | $920 |
ACS 2008-2012 data
Monthly Rental | 21014 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 2,360, 100% | 657,078 | 37,562,111 |
$199 or Less | 57, 2.42%, see rank | 2.03% | 1.76% |
$200 to $299 | 119, 5.04%, see rank | 2.62% | 3.29% |
$300 to $499 | 124, 5.25%, see rank | 3.96% | 8.20% |
$500 to $699 | 116, 4.92%, see rank | 6.23% | 17.39% |
$700 to $999 | 461, 19.53%, see rank | 20.52% | 29.40% |
$1,000 to $1,499 | 1,081, 45.81%, see rank | 38.02% | 25.73% |
$1,500 to $1,999 | 269, 11.40%, see rank | 17.17% | 8.92% |
$2,000 or More | 133, 5.64%, see rank | 9.46% | 5.30% |
Median | $1,133, see rank | $1,172 | $889 |
US Census 2000 data
Monthly Rental | 21014 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 2,421, 100% | 605,225 | 33,386,326 |
$199 or Less | 77, 3.18%, see rank | 5.32% | 5.52% |
$200 to $299 | 37, 1.53%, see rank | 3.80% | 5.45% |
$300 to $499 | 128, 5.29%, see rank | 14.85% | 23.18% |
$500 to $699 | 1,203, 49.69%, see rank | 27.64% | 29.57% |
$700 to $999 | 778, 32.14%, see rank | 32.78% | 24.06% |
$1,000 to $1,499 | 173, 7.15%, see rank | 12.41% | 9.15% |
$1,500 to $1,999 | 25, 1.03%, see rank | 2.14% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 1.05% | 1.02% |
Median | $673, 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.