27260 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 27260 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 5,197, 100% | 1,186,631 | 39,201,928 |
$199 or Less | 351, 6.75%, see rank | 1.77% | 1.50% |
$200 to $299 | 513, 9.87%, see rank | 3.01% | 3.18% |
$300 to $499 | 812, 15.62%, see rank | 9.02% | 7.37% |
$500 to $699 | 1,223, 23.53%, see rank | 23.78% | 16.01% |
$700 to $999 | 1,848, 35.56%, see rank | 35.90% | 29.17% |
$1,000 to $1,499 | 345, 6.64%, see rank | 21.06% | 26.88% |
$1,500 to $1,999 | 39, 0.75%, see rank | 3.82% | 9.79% |
$2,000 or More | 66, 1.27%, see rank | 1.64% | 6.10% |
Median | $652, see rank | $790 | $920 |
ACS 2008-2012 data
Monthly Rental | 27260 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 4,839, 100% | 1,121,466 | 37,562,111 |
$199 or Less | 364, 7.52%, see rank | 2.14% | 1.76% |
$200 to $299 | 407, 8.41%, see rank | 3.17% | 3.29% |
$300 to $499 | 855, 17.67%, see rank | 10.39% | 8.20% |
$500 to $699 | 1,217, 25.15%, see rank | 25.80% | 17.39% |
$700 to $999 | 1,543, 31.89%, see rank | 35.52% | 29.40% |
$1,000 to $1,499 | 378, 7.81%, see rank | 18.57% | 25.73% |
$1,500 to $1,999 | 29, 0.60%, see rank | 3.04% | 8.92% |
$2,000 or More | 46, 0.95%, see rank | 1.36% | 5.30% |
Median | $624, see rank | $759 | $889 |
US Census 2000 data
Monthly Rental | 27260 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 5,686, 100% | 865,929 | 33,386,326 |
$199 or Less | 959, 16.87%, see rank | 6.05% | 5.52% |
$200 to $299 | 633, 11.13%, see rank | 6.13% | 5.45% |
$300 to $499 | 2,106, 37.04%, see rank | 29.22% | 23.18% |
$500 to $699 | 1,384, 24.34%, see rank | 31.92% | 29.57% |
$700 to $999 | 359, 6.31%, see rank | 20.96% | 24.06% |
$1,000 to $1,499 | 108, 1.90%, see rank | 4.60% | 9.15% |
$1,500 to $1,999 | 137, 2.41%, see rank | 0.76% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.36% | 1.02% |
Median | $424, 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.