28016 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 28016 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 1,549, 100% | 1,186,631 | 39,201,928 |
$199 or Less | 24, 1.55%, see rank | 1.77% | 1.50% |
$200 to $299 | 73, 4.71%, see rank | 3.01% | 3.18% |
$300 to $499 | 110, 7.10%, see rank | 9.02% | 7.37% |
$500 to $699 | 684, 44.16%, see rank | 23.78% | 16.01% |
$700 to $999 | 471, 30.41%, see rank | 35.90% | 29.17% |
$1,000 to $1,499 | 187, 12.07%, see rank | 21.06% | 26.88% |
$1,500 to $1,999 | 0, 0.00%, see rank | 3.82% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 1.64% | 6.10% |
Median | $661, see rank | $790 | $920 |
ACS 2008-2012 data
Monthly Rental | 28016 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 1,374, 100% | 1,121,466 | 37,562,111 |
$199 or Less | 15, 1.09%, see rank | 2.14% | 1.76% |
$200 to $299 | 74, 5.39%, see rank | 3.17% | 3.29% |
$300 to $499 | 222, 16.16%, see rank | 10.39% | 8.20% |
$500 to $699 | 497, 36.17%, see rank | 25.80% | 17.39% |
$700 to $999 | 466, 33.92%, see rank | 35.52% | 29.40% |
$1,000 to $1,499 | 100, 7.28%, 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 | $657, see rank | $759 | $889 |
US Census 2000 data
Monthly Rental | 28016 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 1,478, 100% | 865,929 | 33,386,326 |
$199 or Less | 47, 3.18%, see rank | 6.05% | 5.52% |
$200 to $299 | 72, 4.87%, see rank | 6.13% | 5.45% |
$300 to $499 | 725, 49.05%, see rank | 29.22% | 23.18% |
$500 to $699 | 525, 35.52%, see rank | 31.92% | 29.57% |
$700 to $999 | 87, 5.89%, see rank | 20.96% | 24.06% |
$1,000 to $1,499 | 22, 1.49%, 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 | $475, 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.