23231 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 23231 Zip Code | Virginia | U.S. |
Occupied Units Paying Rent | 4,265, 100% | 957,686 | 39,201,928 |
$199 or Less | 126, 2.95%, see rank | 1.61% | 1.50% |
$200 to $299 | 193, 4.53%, see rank | 2.46% | 3.18% |
$300 to $499 | 272, 6.38%, see rank | 5.54% | 7.37% |
$500 to $699 | 385, 9.03%, see rank | 10.39% | 16.01% |
$700 to $999 | 1,459, 34.21%, see rank | 22.57% | 29.17% |
$1,000 to $1,499 | 1,537, 36.04%, see rank | 30.50% | 26.88% |
$1,500 to $1,999 | 265, 6.21%, see rank | 15.76% | 9.79% |
$2,000 or More | 28, 0.66%, see rank | 11.16% | 6.10% |
Median | $952, see rank | $1,108 | $920 |
ACS 2008-2012 data
Monthly Rental | 23231 Zip Code | Virginia | U.S. |
Occupied Units Paying Rent | 3,933, 100% | 910,906 | 37,562,111 |
$199 or Less | 131, 3.33%, see rank | 1.92% | 1.76% |
$200 to $299 | 166, 4.22%, see rank | 2.44% | 3.29% |
$300 to $499 | 220, 5.59%, see rank | 6.05% | 8.20% |
$500 to $699 | 365, 9.28%, see rank | 11.88% | 17.39% |
$700 to $999 | 1,557, 39.59%, see rank | 23.62% | 29.40% |
$1,000 to $1,499 | 1,277, 32.47%, see rank | 30.47% | 25.73% |
$1,500 to $1,999 | 166, 4.22%, see rank | 14.20% | 8.92% |
$2,000 or More | 51, 1.30%, see rank | 9.41% | 5.30% |
Median | $922, see rank | $1,060 | $889 |
US Census 2000 data
Monthly Rental | 23231 Zip Code | Virginia | U.S. |
Occupied Units Paying Rent | 2,761, 100% | 794,257 | 33,386,326 |
$199 or Less | 352, 12.75%, see rank | 5.24% | 5.52% |
$200 to $299 | 152, 5.51%, see rank | 4.64% | 5.45% |
$300 to $499 | 543, 19.67%, see rank | 20.10% | 23.18% |
$500 to $699 | 935, 33.86%, see rank | 26.23% | 29.57% |
$700 to $999 | 686, 24.85%, see rank | 27.87% | 24.06% |
$1,000 to $1,499 | 82, 2.97%, see rank | 12.12% | 9.15% |
$1,500 to $1,999 | 11, 0.40%, see rank | 2.76% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 1.05% | 1.02% |
Median | $560, 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.