06067 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 06067 Zip Code | Connecticut | U.S. |
Occupied Units Paying Rent | 2,564, 100% | 424,208 | 39,201,928 |
$199 or Less | 24, 0.94%, see rank | 1.84% | 1.50% |
$200 to $299 | 0, 0.00%, see rank | 3.78% | 3.18% |
$300 to $499 | 16, 0.62%, see rank | 5.89% | 7.37% |
$500 to $699 | 33, 1.29%, see rank | 6.97% | 16.01% |
$700 to $999 | 218, 8.50%, see rank | 25.33% | 29.17% |
$1,000 to $1,499 | 1,827, 71.26%, see rank | 36.47% | 26.88% |
$1,500 to $1,999 | 322, 12.56%, see rank | 12.85% | 9.79% |
$2,000 or More | 124, 4.84%, see rank | 6.88% | 6.10% |
Median | $1,284, see rank | $1,069 | $920 |
ACS 2008-2012 data
Monthly Rental | 06067 Zip Code | Connecticut | U.S. |
Occupied Units Paying Rent | 2,697, 100% | 412,501 | 37,562,111 |
$199 or Less | 0, 0.00%, see rank | 2.29% | 1.76% |
$200 to $299 | 0, 0.00%, see rank | 3.49% | 3.29% |
$300 to $499 | 18, 0.67%, see rank | 5.88% | 8.20% |
$500 to $699 | 22, 0.82%, see rank | 8.03% | 17.39% |
$700 to $999 | 361, 13.39%, see rank | 26.40% | 29.40% |
$1,000 to $1,499 | 1,868, 69.26%, see rank | 36.01% | 25.73% |
$1,500 to $1,999 | 372, 13.79%, see rank | 11.85% | 8.92% |
$2,000 or More | 56, 2.08%, see rank | 6.05% | 5.30% |
Median | $1,256, see rank | $1,044 | $889 |
US Census 2000 data
Monthly Rental | 06067 Zip Code | Connecticut | U.S. |
Occupied Units Paying Rent | 2,519, 100% | 410,681 | 33,386,326 |
$199 or Less | 35, 1.39%, see rank | 5.45% | 5.52% |
$200 to $299 | 32, 1.27%, see rank | 4.55% | 5.45% |
$300 to $499 | 109, 4.33%, see rank | 13.39% | 23.18% |
$500 to $699 | 271, 10.76%, see rank | 29.61% | 29.57% |
$700 to $999 | 1,579, 62.68%, see rank | 31.32% | 24.06% |
$1,000 to $1,499 | 377, 14.97%, see rank | 11.65% | 9.15% |
$1,500 to $1,999 | 63, 2.50%, see rank | 2.38% | 2.05% |
$2,000 or More | 53, 2.10%, see rank | 1.64% | 1.02% |
Median | $851, 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.