21113 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 21113 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 4,077, 100% | 682,566 | 39,201,928 |
$199 or Less | 25, 0.61%, see rank | 1.63% | 1.50% |
$200 to $299 | 25, 0.61%, see rank | 2.77% | 3.18% |
$300 to $499 | 52, 1.28%, see rank | 3.76% | 7.37% |
$500 to $699 | 145, 3.56%, see rank | 5.52% | 16.01% |
$700 to $999 | 61, 1.50%, see rank | 18.21% | 29.17% |
$1,000 to $1,499 | 519, 12.73%, see rank | 37.53% | 26.88% |
$1,500 to $1,999 | 2,345, 57.52%, see rank | 19.46% | 9.79% |
$2,000 or More | 905, 22.20%, see rank | 11.13% | 6.10% |
Median | $1,758, see rank | $1,218 | $920 |
ACS 2008-2012 data
Monthly Rental | 21113 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 3,967, 100% | 657,078 | 37,562,111 |
$199 or Less | 14, 0.35%, see rank | 2.03% | 1.76% |
$200 to $299 | 26, 0.66%, see rank | 2.62% | 3.29% |
$300 to $499 | 53, 1.34%, see rank | 3.96% | 8.20% |
$500 to $699 | 165, 4.16%, see rank | 6.23% | 17.39% |
$700 to $999 | 82, 2.07%, see rank | 20.52% | 29.40% |
$1,000 to $1,499 | 1,021, 25.74%, see rank | 38.02% | 25.73% |
$1,500 to $1,999 | 1,815, 45.75%, see rank | 17.17% | 8.92% |
$2,000 or More | 791, 19.94%, see rank | 9.46% | 5.30% |
Median | $1,671, see rank | $1,172 | $889 |
US Census 2000 data
Monthly Rental | 21113 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 2,054, 100% | 605,225 | 33,386,326 |
$199 or Less | 31, 1.51%, see rank | 5.32% | 5.52% |
$200 to $299 | 26, 1.27%, see rank | 3.80% | 5.45% |
$300 to $499 | 64, 3.12%, see rank | 14.85% | 23.18% |
$500 to $699 | 211, 10.27%, see rank | 27.64% | 29.57% |
$700 to $999 | 754, 36.71%, see rank | 32.78% | 24.06% |
$1,000 to $1,499 | 900, 43.82%, see rank | 12.41% | 9.15% |
$1,500 to $1,999 | 58, 2.82%, see rank | 2.14% | 2.05% |
$2,000 or More | 10, 0.49%, see rank | 1.05% | 1.02% |
Median | $981, 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.