28021 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 28021 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 1,051, 100% | 1,186,631 | 39,201,928 |
$199 or Less | 0, 0.00%, see rank | 1.77% | 1.50% |
$200 to $299 | 90, 8.56%, see rank | 3.01% | 3.18% |
$300 to $499 | 149, 14.18%, see rank | 9.02% | 7.37% |
$500 to $699 | 340, 32.35%, see rank | 23.78% | 16.01% |
$700 to $999 | 323, 30.73%, see rank | 35.90% | 29.17% |
$1,000 to $1,499 | 98, 9.32%, see rank | 21.06% | 26.88% |
$1,500 to $1,999 | 31, 2.95%, see rank | 3.82% | 9.79% |
$2,000 or More | 20, 1.90%, see rank | 1.64% | 6.10% |
Median | $660, see rank | $790 | $920 |
ACS 2008-2012 data
Monthly Rental | 28021 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 973, 100% | 1,121,466 | 37,562,111 |
$199 or Less | 12, 1.23%, see rank | 2.14% | 1.76% |
$200 to $299 | 77, 7.91%, see rank | 3.17% | 3.29% |
$300 to $499 | 160, 16.44%, see rank | 10.39% | 8.20% |
$500 to $699 | 294, 30.22%, see rank | 25.80% | 17.39% |
$700 to $999 | 376, 38.64%, see rank | 35.52% | 29.40% |
$1,000 to $1,499 | 39, 4.01%, see rank | 18.57% | 25.73% |
$1,500 to $1,999 | 0, 0.00%, see rank | 3.04% | 8.92% |
$2,000 or More | 15, 1.54%, see rank | 1.36% | 5.30% |
Median | $680, see rank | $759 | $889 |
US Census 2000 data
Monthly Rental | 28021 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 816, 100% | 865,929 | 33,386,326 |
$199 or Less | 88, 10.78%, see rank | 6.05% | 5.52% |
$200 to $299 | 30, 3.68%, see rank | 6.13% | 5.45% |
$300 to $499 | 327, 40.07%, see rank | 29.22% | 23.18% |
$500 to $699 | 318, 38.97%, see rank | 31.92% | 29.57% |
$700 to $999 | 45, 5.51%, see rank | 20.96% | 24.06% |
$1,000 to $1,499 | 0, 0.00%, see rank | 4.60% | 9.15% |
$1,500 to $1,999 | 8, 0.98%, see rank | 0.76% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.36% | 1.02% |
Median | $480, 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.