27401 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 27401 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 4,353, 100% | 1,186,631 | 39,201,928 |
$199 or Less | 144, 3.31%, see rank | 1.77% | 1.50% |
$200 to $299 | 159, 3.65%, see rank | 3.01% | 3.18% |
$300 to $499 | 693, 15.92%, see rank | 9.02% | 7.37% |
$500 to $699 | 1,557, 35.77%, see rank | 23.78% | 16.01% |
$700 to $999 | 1,280, 29.41%, see rank | 35.90% | 29.17% |
$1,000 to $1,499 | 450, 10.34%, see rank | 21.06% | 26.88% |
$1,500 to $1,999 | 27, 0.62%, see rank | 3.82% | 9.79% |
$2,000 or More | 43, 0.99%, see rank | 1.64% | 6.10% |
Median | $644, see rank | $790 | $920 |
ACS 2008-2012 data
Monthly Rental | 27401 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 4,680, 100% | 1,121,466 | 37,562,111 |
$199 or Less | 148, 3.16%, see rank | 2.14% | 1.76% |
$200 to $299 | 285, 6.09%, see rank | 3.17% | 3.29% |
$300 to $499 | 669, 14.29%, see rank | 10.39% | 8.20% |
$500 to $699 | 1,692, 36.15%, see rank | 25.80% | 17.39% |
$700 to $999 | 1,292, 27.61%, see rank | 35.52% | 29.40% |
$1,000 to $1,499 | 549, 11.73%, see rank | 18.57% | 25.73% |
$1,500 to $1,999 | 32, 0.68%, see rank | 3.04% | 8.92% |
$2,000 or More | 13, 0.28%, see rank | 1.36% | 5.30% |
Median | $646, see rank | $759 | $889 |
US Census 2000 data
Monthly Rental | 27401 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 4,483, 100% | 865,929 | 33,386,326 |
$199 or Less | 349, 7.78%, see rank | 6.05% | 5.52% |
$200 to $299 | 301, 6.71%, see rank | 6.13% | 5.45% |
$300 to $499 | 1,958, 43.68%, see rank | 29.22% | 23.18% |
$500 to $699 | 1,262, 28.15%, see rank | 31.92% | 29.57% |
$700 to $999 | 549, 12.25%, see rank | 20.96% | 24.06% |
$1,000 to $1,499 | 51, 1.14%, see rank | 4.60% | 9.15% |
$1,500 to $1,999 | 13, 0.29%, see rank | 0.76% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.36% | 1.02% |
Median | $467, 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.