28906 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 28906 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 1,004, 100% | 1,186,631 | 39,201,928 |
$199 or Less | 32, 3.19%, see rank | 1.77% | 1.50% |
$200 to $299 | 80, 7.97%, see rank | 3.01% | 3.18% |
$300 to $499 | 124, 12.35%, see rank | 9.02% | 7.37% |
$500 to $699 | 358, 35.66%, see rank | 23.78% | 16.01% |
$700 to $999 | 245, 24.40%, see rank | 35.90% | 29.17% |
$1,000 to $1,499 | 160, 15.94%, see rank | 21.06% | 26.88% |
$1,500 to $1,999 | 5, 0.50%, see rank | 3.82% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 1.64% | 6.10% |
Median | $664, see rank | $790 | $920 |
ACS 2008-2012 data
Monthly Rental | 28906 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 1,227, 100% | 1,121,466 | 37,562,111 |
$199 or Less | 36, 2.93%, see rank | 2.14% | 1.76% |
$200 to $299 | 85, 6.93%, see rank | 3.17% | 3.29% |
$300 to $499 | 277, 22.58%, see rank | 10.39% | 8.20% |
$500 to $699 | 281, 22.90%, see rank | 25.80% | 17.39% |
$700 to $999 | 286, 23.31%, see rank | 35.52% | 29.40% |
$1,000 to $1,499 | 230, 18.74%, see rank | 18.57% | 25.73% |
$1,500 to $1,999 | 32, 2.61%, see rank | 3.04% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 1.36% | 5.30% |
Median | $643, see rank | $759 | $889 |
US Census 2000 data
Monthly Rental | 28906 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 781, 100% | 865,929 | 33,386,326 |
$199 or Less | 98, 12.55%, see rank | 6.05% | 5.52% |
$200 to $299 | 167, 21.38%, see rank | 6.13% | 5.45% |
$300 to $499 | 375, 48.02%, see rank | 29.22% | 23.18% |
$500 to $699 | 120, 15.36%, see rank | 31.92% | 29.57% |
$700 to $999 | 14, 1.79%, see rank | 20.96% | 24.06% |
$1,000 to $1,499 | 7, 0.90%, 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 | $348, 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.