23663 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 23663 Zip Code | Virginia | U.S. |
Occupied Units Paying Rent | 2,371, 100% | 957,686 | 39,201,928 |
$199 or Less | 84, 3.54%, see rank | 1.61% | 1.50% |
$200 to $299 | 49, 2.07%, see rank | 2.46% | 3.18% |
$300 to $499 | 100, 4.22%, see rank | 5.54% | 7.37% |
$500 to $699 | 183, 7.72%, see rank | 10.39% | 16.01% |
$700 to $999 | 568, 23.96%, see rank | 22.57% | 29.17% |
$1,000 to $1,499 | 1,109, 46.77%, see rank | 30.50% | 26.88% |
$1,500 to $1,999 | 251, 10.59%, see rank | 15.76% | 9.79% |
$2,000 or More | 27, 1.14%, see rank | 11.16% | 6.10% |
Median | $1,066, see rank | $1,108 | $920 |
ACS 2008-2012 data
Monthly Rental | 23663 Zip Code | Virginia | U.S. |
Occupied Units Paying Rent | 2,455, 100% | 910,906 | 37,562,111 |
$199 or Less | 51, 2.08%, see rank | 1.92% | 1.76% |
$200 to $299 | 44, 1.79%, see rank | 2.44% | 3.29% |
$300 to $499 | 46, 1.87%, see rank | 6.05% | 8.20% |
$500 to $699 | 182, 7.41%, see rank | 11.88% | 17.39% |
$700 to $999 | 702, 28.59%, see rank | 23.62% | 29.40% |
$1,000 to $1,499 | 1,183, 48.19%, see rank | 30.47% | 25.73% |
$1,500 to $1,999 | 179, 7.29%, see rank | 14.20% | 8.92% |
$2,000 or More | 68, 2.77%, see rank | 9.41% | 5.30% |
Median | $1,065, see rank | $1,060 | $889 |
US Census 2000 data
Monthly Rental | 23663 Zip Code | Virginia | U.S. |
Occupied Units Paying Rent | 2,371, 100% | 794,257 | 33,386,326 |
$199 or Less | 111, 4.68%, see rank | 5.24% | 5.52% |
$200 to $299 | 78, 3.29%, see rank | 4.64% | 5.45% |
$300 to $499 | 378, 15.94%, see rank | 20.10% | 23.18% |
$500 to $699 | 1,002, 42.26%, see rank | 26.23% | 29.57% |
$700 to $999 | 674, 28.43%, see rank | 27.87% | 24.06% |
$1,000 to $1,499 | 128, 5.40%, see rank | 12.12% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 2.76% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 1.05% | 1.02% |
Median | $620, 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.