06855 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 06855 Zip Code | Connecticut | U.S. |
Total Housing Units | 3,495, 100% | 1,490,381 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.93% | 1.95% |
2 Rooms | 77, 2.20%, see rank | 2.44% | 2.48% |
3 Rooms | 431, 12.33%, see rank | 8.62% | 9.13% |
4 Rooms | 688, 19.69%, see rank | 15.12% | 16.60% |
5 Rooms | 673, 19.26%, see rank | 18.84% | 20.41% |
6 Rooms | 539, 15.42%, see rank | 17.57% | 18.06% |
7 Rooms | 451, 12.90%, see rank | 13.35% | 12.27% |
8 Rooms | 359, 10.27%, see rank | 9.85% | 8.48% |
9 Rooms or More | 277, 7.93%, see rank | 12.29% | 10.60% |
Median Rooms | 5.30, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 06855 Zip Code | Connecticut | U.S. |
Total Housing Units | 3,736, 100% | 1,485,445 | 131,642,457 |
1 Room | 42, 1.12%, see rank | 1.97% | 1.95% |
2 Rooms | 135, 3.61%, see rank | 2.36% | 2.36% |
3 Rooms | 493, 13.20%, see rank | 8.52% | 8.97% |
4 Rooms | 624, 16.70%, see rank | 14.95% | 16.57% |
5 Rooms | 847, 22.67%, see rank | 18.64% | 20.41% |
6 Rooms | 594, 15.90%, see rank | 17.96% | 18.25% |
7 Rooms | 356, 9.53%, see rank | 13.29% | 12.38% |
8 Rooms | 288, 7.71%, see rank | 9.91% | 8.59% |
9 Rooms or More | 357, 9.56%, see rank | 12.40% | 10.52% |
Median Rooms | 5.20, see rank | 5.70 | 5.50 |
US Census 2000 data
| 06855 Zip Code | Connecticut | U.S. |
Total Housing Units | 3,334, 100% | 1,385,975 | 115,904,641 |
1 Room | 37, 1.11%, see rank | 1.63% | 2.20% |
2 Rooms | 230, 6.90%, see rank | 3.86% | 4.81% |
3 Rooms | 436, 13.08%, see rank | 8.46% | 9.84% |
4 Rooms | 518, 15.54%, see rank | 14.58% | 15.97% |
5 Rooms | 586, 17.58%, see rank | 19.63% | 20.89% |
6 Rooms | 552, 16.56%, see rank | 18.36% | 18.45% |
7 Rooms | 426, 12.78%, see rank | 13.63% | 12.06% |
8 Rooms | 224, 6.72%, see rank | 10.08% | 8.06% |
9 Rooms or More | 325, 9.75%, see rank | 9.76% | 7.70% |
Median Rooms | 5.30, 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.