02865 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 02865 Zip Code | Rhode Island | U.S. |
Occupied Units Paying Rent | 1,744, 100% | 157,088 | 39,201,928 |
$199 or Less | 39, 2.24%, see rank | 2.27% | 1.50% |
$200 to $299 | 39, 2.24%, see rank | 6.81% | 3.18% |
$300 to $499 | 238, 13.65%, see rank | 7.52% | 7.37% |
$500 to $699 | 186, 10.67%, see rank | 10.16% | 16.01% |
$700 to $999 | 351, 20.13%, see rank | 32.26% | 29.17% |
$1,000 to $1,499 | 669, 38.36%, see rank | 30.46% | 26.88% |
$1,500 to $1,999 | 222, 12.73%, see rank | 7.43% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 3.09% | 6.10% |
Median | $1,011, see rank | $923 | $920 |
ACS 2008-2012 data
Monthly Rental | 02865 Zip Code | Rhode Island | U.S. |
Occupied Units Paying Rent | 1,380, 100% | 154,131 | 37,562,111 |
$199 or Less | 42, 3.04%, see rank | 2.60% | 1.76% |
$200 to $299 | 73, 5.29%, see rank | 7.42% | 3.29% |
$300 to $499 | 212, 15.36%, see rank | 7.80% | 8.20% |
$500 to $699 | 130, 9.42%, see rank | 11.20% | 17.39% |
$700 to $999 | 342, 24.78%, see rank | 31.05% | 29.40% |
$1,000 to $1,499 | 529, 38.33%, see rank | 29.94% | 25.73% |
$1,500 to $1,999 | 42, 3.04%, see rank | 7.10% | 8.92% |
$2,000 or More | 10, 0.72%, see rank | 2.89% | 5.30% |
Median | $858, see rank | $908 | $889 |
US Census 2000 data
Monthly Rental | 02865 Zip Code | Rhode Island | U.S. |
Occupied Units Paying Rent | 1,828, 100% | 156,228 | 33,386,326 |
$199 or Less | 73, 3.99%, see rank | 9.73% | 5.52% |
$200 to $299 | 185, 10.12%, see rank | 6.52% | 5.45% |
$300 to $499 | 450, 24.62%, see rank | 23.51% | 23.18% |
$500 to $699 | 626, 34.25%, see rank | 34.42% | 29.57% |
$700 to $999 | 399, 21.83%, see rank | 19.10% | 24.06% |
$1,000 to $1,499 | 88, 4.81%, see rank | 5.01% | 9.15% |
$1,500 to $1,999 | 7, 0.38%, see rank | 1.17% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.56% | 1.02% |
Median | $565, 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.