02816 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 02816 Zip Code | Rhode Island | U.S. |
Occupied Units Paying Rent | 2,648, 100% | 157,088 | 39,201,928 |
$199 or Less | 132, 4.98%, see rank | 2.27% | 1.50% |
$200 to $299 | 125, 4.72%, see rank | 6.81% | 3.18% |
$300 to $499 | 160, 6.04%, see rank | 7.52% | 7.37% |
$500 to $699 | 313, 11.82%, see rank | 10.16% | 16.01% |
$700 to $999 | 937, 35.39%, see rank | 32.26% | 29.17% |
$1,000 to $1,499 | 741, 27.98%, see rank | 30.46% | 26.88% |
$1,500 to $1,999 | 211, 7.97%, see rank | 7.43% | 9.79% |
$2,000 or More | 29, 1.10%, see rank | 3.09% | 6.10% |
Median | $900, see rank | $923 | $920 |
ACS 2008-2012 data
Monthly Rental | 02816 Zip Code | Rhode Island | U.S. |
Occupied Units Paying Rent | 2,501, 100% | 154,131 | 37,562,111 |
$199 or Less | 123, 4.92%, see rank | 2.60% | 1.76% |
$200 to $299 | 273, 10.92%, see rank | 7.42% | 3.29% |
$300 to $499 | 141, 5.64%, see rank | 7.80% | 8.20% |
$500 to $699 | 337, 13.47%, see rank | 11.20% | 17.39% |
$700 to $999 | 714, 28.55%, see rank | 31.05% | 29.40% |
$1,000 to $1,499 | 725, 28.99%, see rank | 29.94% | 25.73% |
$1,500 to $1,999 | 178, 7.12%, see rank | 7.10% | 8.92% |
$2,000 or More | 10, 0.40%, see rank | 2.89% | 5.30% |
Median | $844, see rank | $908 | $889 |
US Census 2000 data
Monthly Rental | 02816 Zip Code | Rhode Island | U.S. |
Occupied Units Paying Rent | 2,187, 100% | 156,228 | 33,386,326 |
$199 or Less | 228, 10.43%, see rank | 9.73% | 5.52% |
$200 to $299 | 104, 4.76%, see rank | 6.52% | 5.45% |
$300 to $499 | 583, 26.66%, see rank | 23.51% | 23.18% |
$500 to $699 | 801, 36.63%, see rank | 34.42% | 29.57% |
$700 to $999 | 406, 18.56%, see rank | 19.10% | 24.06% |
$1,000 to $1,499 | 65, 2.97%, see rank | 5.01% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 1.17% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.56% | 1.02% |
Median | $544, 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.