06614 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 06614 Zip Code | Connecticut | U.S. |
Occupied Units Paying Rent | 1,454, 100% | 424,208 | 39,201,928 |
$199 or Less | 0, 0.00%, see rank | 1.84% | 1.50% |
$200 to $299 | 0, 0.00%, see rank | 3.78% | 3.18% |
$300 to $499 | 177, 12.17%, see rank | 5.89% | 7.37% |
$500 to $699 | 11, 0.76%, see rank | 6.97% | 16.01% |
$700 to $999 | 217, 14.92%, see rank | 25.33% | 29.17% |
$1,000 to $1,499 | 501, 34.46%, see rank | 36.47% | 26.88% |
$1,500 to $1,999 | 216, 14.86%, see rank | 12.85% | 9.79% |
$2,000 or More | 332, 22.83%, see rank | 6.88% | 6.10% |
Median | $1,350, see rank | $1,069 | $920 |
ACS 2008-2012 data
Monthly Rental | 06614 Zip Code | Connecticut | U.S. |
Occupied Units Paying Rent | 1,315, 100% | 412,501 | 37,562,111 |
$199 or Less | 0, 0.00%, see rank | 2.29% | 1.76% |
$200 to $299 | 9, 0.68%, see rank | 3.49% | 3.29% |
$300 to $499 | 170, 12.93%, see rank | 5.88% | 8.20% |
$500 to $699 | 73, 5.55%, see rank | 8.03% | 17.39% |
$700 to $999 | 250, 19.01%, see rank | 26.40% | 29.40% |
$1,000 to $1,499 | 403, 30.65%, see rank | 36.01% | 25.73% |
$1,500 to $1,999 | 219, 16.65%, see rank | 11.85% | 8.92% |
$2,000 or More | 191, 14.52%, see rank | 6.05% | 5.30% |
Median | $1,194, see rank | $1,044 | $889 |
US Census 2000 data
Monthly Rental | 06614 Zip Code | Connecticut | U.S. |
Occupied Units Paying Rent | 1,292, 100% | 410,681 | 33,386,326 |
$199 or Less | 5, 0.39%, see rank | 5.45% | 5.52% |
$200 to $299 | 45, 3.48%, see rank | 4.55% | 5.45% |
$300 to $499 | 159, 12.31%, see rank | 13.39% | 23.18% |
$500 to $699 | 190, 14.71%, see rank | 29.61% | 29.57% |
$700 to $999 | 536, 41.49%, see rank | 31.32% | 24.06% |
$1,000 to $1,499 | 299, 23.14%, see rank | 11.65% | 9.15% |
$1,500 to $1,999 | 58, 4.49%, see rank | 2.38% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 1.64% | 1.02% |
Median | $824, 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.