06062 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 06062 Zip Code | Connecticut | U.S. |
Total Housing Units | 8,172, 100% | 1,490,381 | 132,741,033 |
1 Room | 216, 2.64%, see rank | 1.93% | 1.95% |
2 Rooms | 375, 4.59%, see rank | 2.44% | 2.48% |
3 Rooms | 619, 7.57%, see rank | 8.62% | 9.13% |
4 Rooms | 1,265, 15.48%, see rank | 15.12% | 16.60% |
5 Rooms | 2,206, 26.99%, see rank | 18.84% | 20.41% |
6 Rooms | 1,641, 20.08%, see rank | 17.57% | 18.06% |
7 Rooms | 860, 10.52%, see rank | 13.35% | 12.27% |
8 Rooms | 580, 7.10%, see rank | 9.85% | 8.48% |
9 Rooms or More | 410, 5.02%, see rank | 12.29% | 10.60% |
Median Rooms | 5.20, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 06062 Zip Code | Connecticut | U.S. |
Total Housing Units | 7,958, 100% | 1,485,445 | 131,642,457 |
1 Room | 346, 4.35%, see rank | 1.97% | 1.95% |
2 Rooms | 181, 2.27%, see rank | 2.36% | 2.36% |
3 Rooms | 524, 6.58%, see rank | 8.52% | 8.97% |
4 Rooms | 1,290, 16.21%, see rank | 14.95% | 16.57% |
5 Rooms | 1,984, 24.93%, see rank | 18.64% | 20.41% |
6 Rooms | 1,771, 22.25%, see rank | 17.96% | 18.25% |
7 Rooms | 894, 11.23%, see rank | 13.29% | 12.38% |
8 Rooms | 490, 6.16%, see rank | 9.91% | 8.59% |
9 Rooms or More | 478, 6.01%, see rank | 12.40% | 10.52% |
Median Rooms | 5.30, see rank | 5.70 | 5.50 |
US Census 2000 data
| 06062 Zip Code | Connecticut | U.S. |
Total Housing Units | 7,663, 100% | 1,385,975 | 115,904,641 |
1 Room | 235, 3.07%, see rank | 1.63% | 2.20% |
2 Rooms | 434, 5.66%, see rank | 3.86% | 4.81% |
3 Rooms | 559, 7.29%, see rank | 8.46% | 9.84% |
4 Rooms | 1,340, 17.49%, see rank | 14.58% | 15.97% |
5 Rooms | 1,815, 23.69%, see rank | 19.63% | 20.89% |
6 Rooms | 1,717, 22.41%, see rank | 18.36% | 18.45% |
7 Rooms | 905, 11.81%, see rank | 13.63% | 12.06% |
8 Rooms | 398, 5.19%, see rank | 10.08% | 8.06% |
9 Rooms or More | 260, 3.39%, see rank | 9.76% | 7.70% |
Median Rooms | 5.20, see rank | 5.60 | 5.30 |
* 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.