02809 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 02809 Zip Code | Rhode Island | U.S. |
Occupied Units Paying Rent | 2,635, 100% | 157,088 | 39,201,928 |
$199 or Less | 24, 0.91%, see rank | 2.27% | 1.50% |
$200 to $299 | 66, 2.50%, see rank | 6.81% | 3.18% |
$300 to $499 | 188, 7.13%, see rank | 7.52% | 7.37% |
$500 to $699 | 433, 16.43%, see rank | 10.16% | 16.01% |
$700 to $999 | 908, 34.46%, see rank | 32.26% | 29.17% |
$1,000 to $1,499 | 840, 31.88%, see rank | 30.46% | 26.88% |
$1,500 to $1,999 | 86, 3.26%, see rank | 7.43% | 9.79% |
$2,000 or More | 90, 3.42%, see rank | 3.09% | 6.10% |
Median | $883, see rank | $923 | $920 |
ACS 2008-2012 data
Monthly Rental | 02809 Zip Code | Rhode Island | U.S. |
Occupied Units Paying Rent | 2,751, 100% | 154,131 | 37,562,111 |
$199 or Less | 25, 0.91%, see rank | 2.60% | 1.76% |
$200 to $299 | 119, 4.33%, see rank | 7.42% | 3.29% |
$300 to $499 | 218, 7.92%, see rank | 7.80% | 8.20% |
$500 to $699 | 584, 21.23%, see rank | 11.20% | 17.39% |
$700 to $999 | 884, 32.13%, see rank | 31.05% | 29.40% |
$1,000 to $1,499 | 702, 25.52%, see rank | 29.94% | 25.73% |
$1,500 to $1,999 | 136, 4.94%, see rank | 7.10% | 8.92% |
$2,000 or More | 83, 3.02%, see rank | 2.89% | 5.30% |
Median | $857, see rank | $908 | $889 |
US Census 2000 data
Monthly Rental | 02809 Zip Code | Rhode Island | U.S. |
Occupied Units Paying Rent | 2,609, 100% | 156,228 | 33,386,326 |
$199 or Less | 159, 6.09%, see rank | 9.73% | 5.52% |
$200 to $299 | 169, 6.48%, see rank | 6.52% | 5.45% |
$300 to $499 | 596, 22.84%, see rank | 23.51% | 23.18% |
$500 to $699 | 991, 37.98%, see rank | 34.42% | 29.57% |
$700 to $999 | 531, 20.35%, see rank | 19.10% | 24.06% |
$1,000 to $1,499 | 139, 5.33%, see rank | 5.01% | 9.15% |
$1,500 to $1,999 | 16, 0.61%, see rank | 1.17% | 2.05% |
$2,000 or More | 8, 0.31%, see rank | 0.56% | 1.02% |
Median | $572, see rank | $553 | $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.