06033 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 06033 Zip Code | Connecticut | U.S. |
Occupied Units Paying Rent | 1,968, 100% | 424,208 | 39,201,928 |
$199 or Less | 51, 2.59%, see rank | 1.84% | 1.50% |
$200 to $299 | 37, 1.88%, see rank | 3.78% | 3.18% |
$300 to $499 | 193, 9.81%, see rank | 5.89% | 7.37% |
$500 to $699 | 175, 8.89%, see rank | 6.97% | 16.01% |
$700 to $999 | 359, 18.24%, see rank | 25.33% | 29.17% |
$1,000 to $1,499 | 871, 44.26%, see rank | 36.47% | 26.88% |
$1,500 to $1,999 | 124, 6.30%, see rank | 12.85% | 9.79% |
$2,000 or More | 158, 8.03%, see rank | 6.88% | 6.10% |
Median | $1,104, see rank | $1,069 | $920 |
ACS 2008-2012 data
Monthly Rental | 06033 Zip Code | Connecticut | U.S. |
Occupied Units Paying Rent | 1,887, 100% | 412,501 | 37,562,111 |
$199 or Less | 35, 1.85%, see rank | 2.29% | 1.76% |
$200 to $299 | 13, 0.69%, see rank | 3.49% | 3.29% |
$300 to $499 | 186, 9.86%, see rank | 5.88% | 8.20% |
$500 to $699 | 151, 8.00%, see rank | 8.03% | 17.39% |
$700 to $999 | 282, 14.94%, see rank | 26.40% | 29.40% |
$1,000 to $1,499 | 980, 51.93%, see rank | 36.01% | 25.73% |
$1,500 to $1,999 | 177, 9.38%, see rank | 11.85% | 8.92% |
$2,000 or More | 63, 3.34%, see rank | 6.05% | 5.30% |
Median | $1,134, see rank | $1,044 | $889 |
US Census 2000 data
Monthly Rental | 06033 Zip Code | Connecticut | U.S. |
Occupied Units Paying Rent | 2,014, 100% | 410,681 | 33,386,326 |
$199 or Less | 138, 6.85%, see rank | 5.45% | 5.52% |
$200 to $299 | 105, 5.21%, see rank | 4.55% | 5.45% |
$300 to $499 | 158, 7.85%, see rank | 13.39% | 23.18% |
$500 to $699 | 362, 17.97%, see rank | 29.61% | 29.57% |
$700 to $999 | 888, 44.09%, see rank | 31.32% | 24.06% |
$1,000 to $1,499 | 302, 15.00%, see rank | 11.65% | 9.15% |
$1,500 to $1,999 | 46, 2.28%, see rank | 2.38% | 2.05% |
$2,000 or More | 15, 0.74%, see rank | 1.64% | 1.02% |
Median | $770, 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.