06355 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 06355 Zip Code | Connecticut | U.S. |
Occupied Units Paying Rent | 1,360, 100% | 424,208 | 39,201,928 |
$199 or Less | 30, 2.21%, see rank | 1.84% | 1.50% |
$200 to $299 | 0, 0.00%, see rank | 3.78% | 3.18% |
$300 to $499 | 18, 1.32%, see rank | 5.89% | 7.37% |
$500 to $699 | 56, 4.12%, see rank | 6.97% | 16.01% |
$700 to $999 | 287, 21.10%, see rank | 25.33% | 29.17% |
$1,000 to $1,499 | 551, 40.51%, see rank | 36.47% | 26.88% |
$1,500 to $1,999 | 229, 16.84%, see rank | 12.85% | 9.79% |
$2,000 or More | 189, 13.90%, see rank | 6.88% | 6.10% |
Median | $1,280, see rank | $1,069 | $920 |
ACS 2008-2012 data
Monthly Rental | 06355 Zip Code | Connecticut | U.S. |
Occupied Units Paying Rent | 1,115, 100% | 412,501 | 37,562,111 |
$199 or Less | 27, 2.42%, see rank | 2.29% | 1.76% |
$200 to $299 | 18, 1.61%, see rank | 3.49% | 3.29% |
$300 to $499 | 0, 0.00%, see rank | 5.88% | 8.20% |
$500 to $699 | 74, 6.64%, see rank | 8.03% | 17.39% |
$700 to $999 | 217, 19.46%, see rank | 26.40% | 29.40% |
$1,000 to $1,499 | 472, 42.33%, see rank | 36.01% | 25.73% |
$1,500 to $1,999 | 223, 20.00%, see rank | 11.85% | 8.92% |
$2,000 or More | 84, 7.53%, see rank | 6.05% | 5.30% |
Median | $1,267, see rank | $1,044 | $889 |
US Census 2000 data
Monthly Rental | 06355 Zip Code | Connecticut | U.S. |
Occupied Units Paying Rent | 955, 100% | 410,681 | 33,386,326 |
$199 or Less | 7, 0.73%, see rank | 5.45% | 5.52% |
$200 to $299 | 0, 0.00%, see rank | 4.55% | 5.45% |
$300 to $499 | 29, 3.04%, see rank | 13.39% | 23.18% |
$500 to $699 | 245, 25.65%, see rank | 29.61% | 29.57% |
$700 to $999 | 392, 41.05%, see rank | 31.32% | 24.06% |
$1,000 to $1,499 | 242, 25.34%, see rank | 11.65% | 9.15% |
$1,500 to $1,999 | 34, 3.56%, see rank | 2.38% | 2.05% |
$2,000 or More | 6, 0.63%, see rank | 1.64% | 1.02% |
Median | $827, see rank | $681 | $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.