22015 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 22015 Zip Code | Virginia | U.S. |
Occupied Units Paying Rent | 2,832, 100% | 957,686 | 39,201,928 |
$199 or Less | 30, 1.06%, see rank | 1.61% | 1.50% |
$200 to $299 | 20, 0.71%, see rank | 2.46% | 3.18% |
$300 to $499 | 25, 0.88%, see rank | 5.54% | 7.37% |
$500 to $699 | 62, 2.19%, see rank | 10.39% | 16.01% |
$700 to $999 | 72, 2.54%, see rank | 22.57% | 29.17% |
$1,000 to $1,499 | 504, 17.80%, see rank | 30.50% | 26.88% |
$1,500 to $1,999 | 902, 31.85%, see rank | 15.76% | 9.79% |
$2,000 or More | 1,217, 42.97%, see rank | 11.16% | 6.10% |
Median | $1,890, see rank | $1,108 | $920 |
ACS 2008-2012 data
Monthly Rental | 22015 Zip Code | Virginia | U.S. |
Occupied Units Paying Rent | 2,673, 100% | 910,906 | 37,562,111 |
$199 or Less | 9, 0.34%, see rank | 1.92% | 1.76% |
$200 to $299 | 46, 1.72%, see rank | 2.44% | 3.29% |
$300 to $499 | 11, 0.41%, see rank | 6.05% | 8.20% |
$500 to $699 | 97, 3.63%, see rank | 11.88% | 17.39% |
$700 to $999 | 35, 1.31%, see rank | 23.62% | 29.40% |
$1,000 to $1,499 | 429, 16.05%, see rank | 30.47% | 25.73% |
$1,500 to $1,999 | 999, 37.37%, see rank | 14.20% | 8.92% |
$2,000 or More | 1,047, 39.17%, see rank | 9.41% | 5.30% |
Median | $1,855, see rank | $1,060 | $889 |
US Census 2000 data
Monthly Rental | 22015 Zip Code | Virginia | U.S. |
Occupied Units Paying Rent | 2,523, 100% | 794,257 | 33,386,326 |
$199 or Less | 74, 2.93%, see rank | 5.24% | 5.52% |
$200 to $299 | 47, 1.86%, see rank | 4.64% | 5.45% |
$300 to $499 | 49, 1.94%, see rank | 20.10% | 23.18% |
$500 to $699 | 119, 4.72%, see rank | 26.23% | 29.57% |
$700 to $999 | 491, 19.46%, see rank | 27.87% | 24.06% |
$1,000 to $1,499 | 1,289, 51.09%, see rank | 12.12% | 9.15% |
$1,500 to $1,999 | 349, 13.83%, see rank | 2.76% | 2.05% |
$2,000 or More | 105, 4.16%, see rank | 1.05% | 1.02% |
Median | $1,156, see rank | $650 | $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.