28804 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 28804 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 2,777, 100% | 1,186,631 | 39,201,928 |
$199 or Less | 33, 1.19%, see rank | 1.77% | 1.50% |
$200 to $299 | 9, 0.32%, see rank | 3.01% | 3.18% |
$300 to $499 | 141, 5.08%, see rank | 9.02% | 7.37% |
$500 to $699 | 500, 18.01%, see rank | 23.78% | 16.01% |
$700 to $999 | 1,059, 38.13%, see rank | 35.90% | 29.17% |
$1,000 to $1,499 | 716, 25.78%, see rank | 21.06% | 26.88% |
$1,500 to $1,999 | 235, 8.46%, see rank | 3.82% | 9.79% |
$2,000 or More | 84, 3.02%, see rank | 1.64% | 6.10% |
Median | $882, see rank | $790 | $920 |
ACS 2008-2012 data
Monthly Rental | 28804 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 2,524, 100% | 1,121,466 | 37,562,111 |
$199 or Less | 56, 2.22%, see rank | 2.14% | 1.76% |
$200 to $299 | 8, 0.32%, see rank | 3.17% | 3.29% |
$300 to $499 | 125, 4.95%, see rank | 10.39% | 8.20% |
$500 to $699 | 515, 20.40%, see rank | 25.80% | 17.39% |
$700 to $999 | 1,082, 42.87%, see rank | 35.52% | 29.40% |
$1,000 to $1,499 | 480, 19.02%, see rank | 18.57% | 25.73% |
$1,500 to $1,999 | 190, 7.53%, see rank | 3.04% | 8.92% |
$2,000 or More | 68, 2.69%, see rank | 1.36% | 5.30% |
Median | $830, see rank | $759 | $889 |
US Census 2000 data
Monthly Rental | 28804 Zip Code | North Carolina | U.S. |
Occupied Units Paying Rent | 2,010, 100% | 865,929 | 33,386,326 |
$199 or Less | 46, 2.29%, see rank | 6.05% | 5.52% |
$200 to $299 | 104, 5.17%, see rank | 6.13% | 5.45% |
$300 to $499 | 581, 28.91%, see rank | 29.22% | 23.18% |
$500 to $699 | 810, 40.30%, see rank | 31.92% | 29.57% |
$700 to $999 | 287, 14.28%, see rank | 20.96% | 24.06% |
$1,000 to $1,499 | 151, 7.51%, see rank | 4.60% | 9.15% |
$1,500 to $1,999 | 24, 1.19%, see rank | 0.76% | 2.05% |
$2,000 or More | 7, 0.35%, see rank | 0.36% | 1.02% |
Median | $553, 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.