02896 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 02896 Zip Code | Rhode Island | U.S. |
Occupied Units Paying Rent | 1,141, 100% | 157,088 | 39,201,928 |
$199 or Less | 28, 2.45%, see rank | 2.27% | 1.50% |
$200 to $299 | 106, 9.29%, see rank | 6.81% | 3.18% |
$300 to $499 | 79, 6.92%, see rank | 7.52% | 7.37% |
$500 to $699 | 66, 5.78%, see rank | 10.16% | 16.01% |
$700 to $999 | 267, 23.40%, see rank | 32.26% | 29.17% |
$1,000 to $1,499 | 432, 37.86%, see rank | 30.46% | 26.88% |
$1,500 to $1,999 | 118, 10.34%, see rank | 7.43% | 9.79% |
$2,000 or More | 45, 3.94%, see rank | 3.09% | 6.10% |
Median | $1,018, see rank | $923 | $920 |
ACS 2008-2012 data
Monthly Rental | 02896 Zip Code | Rhode Island | U.S. |
Occupied Units Paying Rent | 1,015, 100% | 154,131 | 37,562,111 |
$199 or Less | 28, 2.76%, see rank | 2.60% | 1.76% |
$200 to $299 | 118, 11.63%, see rank | 7.42% | 3.29% |
$300 to $499 | 87, 8.57%, see rank | 7.80% | 8.20% |
$500 to $699 | 72, 7.09%, see rank | 11.20% | 17.39% |
$700 to $999 | 398, 39.21%, see rank | 31.05% | 29.40% |
$1,000 to $1,499 | 210, 20.69%, see rank | 29.94% | 25.73% |
$1,500 to $1,999 | 76, 7.49%, see rank | 7.10% | 8.92% |
$2,000 or More | 26, 2.56%, see rank | 2.89% | 5.30% |
Median | $928, see rank | $908 | $889 |
US Census 2000 data
Monthly Rental | 02896 Zip Code | Rhode Island | U.S. |
Occupied Units Paying Rent | 735, 100% | 156,228 | 33,386,326 |
$199 or Less | 47, 6.39%, see rank | 9.73% | 5.52% |
$200 to $299 | 102, 13.88%, see rank | 6.52% | 5.45% |
$300 to $499 | 168, 22.86%, see rank | 23.51% | 23.18% |
$500 to $699 | 256, 34.83%, see rank | 34.42% | 29.57% |
$700 to $999 | 126, 17.14%, see rank | 19.10% | 24.06% |
$1,000 to $1,499 | 29, 3.95%, see rank | 5.01% | 9.15% |
$1,500 to $1,999 | 7, 0.95%, see rank | 1.17% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.56% | 1.02% |
Median | $559, 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.