27249 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 27249 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 961, 100% | 1,186,631 | 39,201,928 |
$199 or Less | 0, 0.00%, see rank | 1.77% | 1.50% |
$200 to $299 | 45, 4.68%, see rank | 3.01% | 3.18% |
$300 to $499 | 203, 21.12%, see rank | 9.02% | 7.37% |
$500 to $699 | 335, 34.86%, see rank | 23.78% | 16.01% |
$700 to $999 | 238, 24.77%, see rank | 35.90% | 29.17% |
$1,000 to $1,499 | 130, 13.53%, see rank | 21.06% | 26.88% |
$1,500 to $1,999 | 10, 1.04%, see rank | 3.82% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 1.64% | 6.10% |
Median | $648, see rank | $790 | $920 |
ACS 2008-2012 data
Monthly Rental | 27249 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 1,074, 100% | 1,121,466 | 37,562,111 |
$199 or Less | 0, 0.00%, see rank | 2.14% | 1.76% |
$200 to $299 | 42, 3.91%, see rank | 3.17% | 3.29% |
$300 to $499 | 165, 15.36%, see rank | 10.39% | 8.20% |
$500 to $699 | 401, 37.34%, see rank | 25.80% | 17.39% |
$700 to $999 | 321, 29.89%, see rank | 35.52% | 29.40% |
$1,000 to $1,499 | 145, 13.50%, 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 | $669, see rank | $759 | $889 |
US Census 2000 data
Monthly Rental | 27249 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 714, 100% | 865,929 | 33,386,326 |
$199 or Less | 76, 10.64%, see rank | 6.05% | 5.52% |
$200 to $299 | 45, 6.30%, see rank | 6.13% | 5.45% |
$300 to $499 | 140, 19.61%, see rank | 29.22% | 23.18% |
$500 to $699 | 357, 50.00%, see rank | 31.92% | 29.57% |
$700 to $999 | 58, 8.12%, see rank | 20.96% | 24.06% |
$1,000 to $1,499 | 31, 4.34%, see rank | 4.60% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.76% | 2.05% |
$2,000 or More | 7, 0.98%, see rank | 0.36% | 1.02% |
Median | $534, 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.