28056 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 28056 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 2,130, 100% | 1,186,631 | 39,201,928 |
$199 or Less | 0, 0.00%, see rank | 1.77% | 1.50% |
$200 to $299 | 19, 0.89%, see rank | 3.01% | 3.18% |
$300 to $499 | 135, 6.34%, see rank | 9.02% | 7.37% |
$500 to $699 | 688, 32.30%, see rank | 23.78% | 16.01% |
$700 to $999 | 946, 44.41%, see rank | 35.90% | 29.17% |
$1,000 to $1,499 | 280, 13.15%, see rank | 21.06% | 26.88% |
$1,500 to $1,999 | 51, 2.39%, see rank | 3.82% | 9.79% |
$2,000 or More | 11, 0.52%, see rank | 1.64% | 6.10% |
Median | $740, see rank | $790 | $920 |
ACS 2008-2012 data
Monthly Rental | 28056 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 2,278, 100% | 1,121,466 | 37,562,111 |
$199 or Less | 8, 0.35%, see rank | 2.14% | 1.76% |
$200 to $299 | 13, 0.57%, see rank | 3.17% | 3.29% |
$300 to $499 | 235, 10.32%, see rank | 10.39% | 8.20% |
$500 to $699 | 690, 30.29%, see rank | 25.80% | 17.39% |
$700 to $999 | 1,036, 45.48%, see rank | 35.52% | 29.40% |
$1,000 to $1,499 | 217, 9.53%, see rank | 18.57% | 25.73% |
$1,500 to $1,999 | 66, 2.90%, see rank | 3.04% | 8.92% |
$2,000 or More | 13, 0.57%, see rank | 1.36% | 5.30% |
Median | $738, see rank | $759 | $889 |
US Census 2000 data
Monthly Rental | 28056 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 1,825, 100% | 865,929 | 33,386,326 |
$199 or Less | 7, 0.38%, see rank | 6.05% | 5.52% |
$200 to $299 | 73, 4.00%, see rank | 6.13% | 5.45% |
$300 to $499 | 440, 24.11%, see rank | 29.22% | 23.18% |
$500 to $699 | 822, 45.04%, see rank | 31.92% | 29.57% |
$700 to $999 | 427, 23.40%, see rank | 20.96% | 24.06% |
$1,000 to $1,499 | 56, 3.07%, see rank | 4.60% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.76% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.36% | 1.02% |
Median | $593, 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.