06786 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 06786 Zip Code | Connecticut | U.S. |
Total Housing Units | 4,114, 100% | 1,490,381 | 132,741,033 |
1 Room | 38, 0.92%, see rank | 1.93% | 1.95% |
2 Rooms | 86, 2.09%, see rank | 2.44% | 2.48% |
3 Rooms | 138, 3.35%, see rank | 8.62% | 9.13% |
4 Rooms | 558, 13.56%, see rank | 15.12% | 16.60% |
5 Rooms | 1,033, 25.11%, see rank | 18.84% | 20.41% |
6 Rooms | 937, 22.78%, see rank | 17.57% | 18.06% |
7 Rooms | 688, 16.72%, see rank | 13.35% | 12.27% |
8 Rooms | 400, 9.72%, see rank | 9.85% | 8.48% |
9 Rooms or More | 236, 5.74%, see rank | 12.29% | 10.60% |
Median Rooms | 5.70, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 06786 Zip Code | Connecticut | U.S. |
Total Housing Units | 4,013, 100% | 1,485,445 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.97% | 1.95% |
2 Rooms | 88, 2.19%, see rank | 2.36% | 2.36% |
3 Rooms | 165, 4.11%, see rank | 8.52% | 8.97% |
4 Rooms | 580, 14.45%, see rank | 14.95% | 16.57% |
5 Rooms | 883, 22.00%, see rank | 18.64% | 20.41% |
6 Rooms | 1,028, 25.62%, see rank | 17.96% | 18.25% |
7 Rooms | 631, 15.72%, see rank | 13.29% | 12.38% |
8 Rooms | 389, 9.69%, see rank | 9.91% | 8.59% |
9 Rooms or More | 249, 6.20%, see rank | 12.40% | 10.52% |
Median Rooms | 5.80, see rank | 5.70 | 5.50 |
US Census 2000 data
| 06786 Zip Code | Connecticut | U.S. |
Total Housing Units | 3,853, 100% | 1,385,975 | 115,904,641 |
1 Room | 8, 0.21%, see rank | 1.63% | 2.20% |
2 Rooms | 82, 2.13%, see rank | 3.86% | 4.81% |
3 Rooms | 214, 5.55%, see rank | 8.46% | 9.84% |
4 Rooms | 676, 17.54%, see rank | 14.58% | 15.97% |
5 Rooms | 1,024, 26.58%, see rank | 19.63% | 20.89% |
6 Rooms | 932, 24.19%, see rank | 18.36% | 18.45% |
7 Rooms | 514, 13.34%, see rank | 13.63% | 12.06% |
8 Rooms | 280, 7.27%, see rank | 10.08% | 8.06% |
9 Rooms or More | 123, 3.19%, see rank | 9.76% | 7.70% |
Median Rooms | 5.40, 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.