20602 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 20602 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 3,274, 100% | 682,566 | 39,201,928 |
$199 or Less | 206, 6.29%, see rank | 1.63% | 1.50% |
$200 to $299 | 113, 3.45%, see rank | 2.77% | 3.18% |
$300 to $499 | 220, 6.72%, see rank | 3.76% | 7.37% |
$500 to $699 | 296, 9.04%, see rank | 5.52% | 16.01% |
$700 to $999 | 333, 10.17%, see rank | 18.21% | 29.17% |
$1,000 to $1,499 | 1,045, 31.92%, see rank | 37.53% | 26.88% |
$1,500 to $1,999 | 870, 26.57%, see rank | 19.46% | 9.79% |
$2,000 or More | 191, 5.83%, see rank | 11.13% | 6.10% |
Median | $1,298, see rank | $1,218 | $920 |
ACS 2008-2012 data
Monthly Rental | 20602 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 3,035, 100% | 657,078 | 37,562,111 |
$199 or Less | 171, 5.63%, see rank | 2.03% | 1.76% |
$200 to $299 | 71, 2.34%, see rank | 2.62% | 3.29% |
$300 to $499 | 161, 5.30%, see rank | 3.96% | 8.20% |
$500 to $699 | 344, 11.33%, see rank | 6.23% | 17.39% |
$700 to $999 | 235, 7.74%, see rank | 20.52% | 29.40% |
$1,000 to $1,499 | 1,128, 37.17%, see rank | 38.02% | 25.73% |
$1,500 to $1,999 | 701, 23.10%, see rank | 17.17% | 8.92% |
$2,000 or More | 224, 7.38%, see rank | 9.46% | 5.30% |
Median | $1,320, see rank | $1,172 | $889 |
US Census 2000 data
Monthly Rental | 20602 Zip Code | Maryland | U.S. |
Occupied Units Paying Rent | 2,488, 100% | 605,225 | 33,386,326 |
$199 or Less | 211, 8.48%, see rank | 5.32% | 5.52% |
$200 to $299 | 159, 6.39%, see rank | 3.80% | 5.45% |
$300 to $499 | 334, 13.42%, see rank | 14.85% | 23.18% |
$500 to $699 | 329, 13.22%, see rank | 27.64% | 29.57% |
$700 to $999 | 947, 38.06%, see rank | 32.78% | 24.06% |
$1,000 to $1,499 | 458, 18.41%, see rank | 12.41% | 9.15% |
$1,500 to $1,999 | 27, 1.09%, see rank | 2.14% | 2.05% |
$2,000 or More | 23, 0.92%, see rank | 1.05% | 1.02% |
Median | $788, 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.