28466 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 28466 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 1,351, 100% | 1,186,631 | 39,201,928 |
$199 or Less | 266, 19.69%, see rank | 1.77% | 1.50% |
$200 to $299 | 77, 5.70%, see rank | 3.01% | 3.18% |
$300 to $499 | 112, 8.29%, see rank | 9.02% | 7.37% |
$500 to $699 | 321, 23.76%, see rank | 23.78% | 16.01% |
$700 to $999 | 454, 33.60%, see rank | 35.90% | 29.17% |
$1,000 to $1,499 | 110, 8.14%, see rank | 21.06% | 26.88% |
$1,500 to $1,999 | 11, 0.81%, see rank | 3.82% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 1.64% | 6.10% |
Median | $621, see rank | $790 | $920 |
ACS 2008-2012 data
Monthly Rental | 28466 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 1,160, 100% | 1,121,466 | 37,562,111 |
$199 or Less | 231, 19.91%, see rank | 2.14% | 1.76% |
$200 to $299 | 80, 6.90%, see rank | 3.17% | 3.29% |
$300 to $499 | 130, 11.21%, see rank | 10.39% | 8.20% |
$500 to $699 | 228, 19.66%, see rank | 25.80% | 17.39% |
$700 to $999 | 377, 32.50%, see rank | 35.52% | 29.40% |
$1,000 to $1,499 | 114, 9.83%, see rank | 18.57% | 25.73% |
$1,500 to $1,999 | 0, 0.00%, see rank | 3.04% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 1.36% | 5.30% |
Median | $583, see rank | $759 | $889 |
US Census 2000 data
Monthly Rental | 28466 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 642, 100% | 865,929 | 33,386,326 |
$199 or Less | 89, 13.86%, see rank | 6.05% | 5.52% |
$200 to $299 | 55, 8.57%, see rank | 6.13% | 5.45% |
$300 to $499 | 273, 42.52%, see rank | 29.22% | 23.18% |
$500 to $699 | 157, 24.45%, see rank | 31.92% | 29.57% |
$700 to $999 | 35, 5.45%, see rank | 20.96% | 24.06% |
$1,000 to $1,499 | 23, 3.58%, see rank | 4.60% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.76% | 2.05% |
$2,000 or More | 10, 1.56%, see rank | 0.36% | 1.02% |
Median | $436, see rank | $548 | $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.