20036 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 20036 Zip Code | District of Columbia | U.S. |
Occupied Units Paying Rent | 2,405, 100% | 151,750 | 39,201,928 |
$199 or Less | 0, 0.00%, see rank | 2.72% | 1.50% |
$200 to $299 | 28, 1.16%, see rank | 3.94% | 3.18% |
$300 to $499 | 27, 1.12%, see rank | 4.28% | 7.37% |
$500 to $699 | 0, 0.00%, see rank | 4.91% | 16.01% |
$700 to $999 | 34, 1.41%, see rank | 17.05% | 29.17% |
$1,000 to $1,499 | 470, 19.54%, see rank | 26.61% | 26.88% |
$1,500 to $1,999 | 1,098, 45.65%, see rank | 18.76% | 9.79% |
$2,000 or More | 748, 31.10%, see rank | 21.72% | 6.10% |
Median | $1,793, see rank | $1,302 | $920 |
ACS 2008-2012 data
Monthly Rental | 20036 Zip Code | District of Columbia | U.S. |
Occupied Units Paying Rent | 2,660, 100% | 146,663 | 37,562,111 |
$199 or Less | 29, 1.09%, see rank | 3.53% | 1.76% |
$200 to $299 | 0, 0.00%, see rank | 3.33% | 3.29% |
$300 to $499 | 27, 1.02%, see rank | 4.85% | 8.20% |
$500 to $699 | 0, 0.00%, see rank | 6.60% | 17.39% |
$700 to $999 | 131, 4.92%, see rank | 19.66% | 29.40% |
$1,000 to $1,499 | 614, 23.08%, see rank | 28.77% | 25.73% |
$1,500 to $1,999 | 1,056, 39.70%, see rank | 16.42% | 8.92% |
$2,000 or More | 803, 30.19%, see rank | 16.83% | 5.30% |
Median | $1,750, see rank | $1,200 | $889 |
US Census 2000 data
Monthly Rental | 20036 Zip Code | District of Columbia | U.S. |
Occupied Units Paying Rent | 1,924, 100% | 142,784 | 33,386,326 |
$199 or Less | 10, 0.52%, see rank | 9.32% | 5.52% |
$200 to $299 | 0, 0.00%, see rank | 3.87% | 5.45% |
$300 to $499 | 17, 0.88%, see rank | 18.14% | 23.18% |
$500 to $699 | 376, 19.54%, see rank | 29.82% | 29.57% |
$700 to $999 | 973, 50.57%, see rank | 22.98% | 24.06% |
$1,000 to $1,499 | 369, 19.18%, see rank | 10.69% | 9.15% |
$1,500 to $1,999 | 107, 5.56%, see rank | 3.18% | 2.05% |
$2,000 or More | 72, 3.74%, see rank | 2.00% | 1.02% |
Median | $851, see rank | $618 | $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.