06455 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 06455 Zip Code | Connecticut | U.S. |
Total Housing Units | 1,324, 100% | 1,490,381 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.93% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 2.44% | 2.48% |
3 Rooms | 37, 2.79%, see rank | 8.62% | 9.13% |
4 Rooms | 66, 4.98%, see rank | 15.12% | 16.60% |
5 Rooms | 299, 22.58%, see rank | 18.84% | 20.41% |
6 Rooms | 405, 30.59%, see rank | 17.57% | 18.06% |
7 Rooms | 180, 13.60%, see rank | 13.35% | 12.27% |
8 Rooms | 120, 9.06%, see rank | 9.85% | 8.48% |
9 Rooms or More | 217, 16.39%, see rank | 12.29% | 10.60% |
Median Rooms | 6.10, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 06455 Zip Code | Connecticut | U.S. |
Total Housing Units | 1,294, 100% | 1,485,445 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.97% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 2.36% | 2.36% |
3 Rooms | 27, 2.09%, see rank | 8.52% | 8.97% |
4 Rooms | 83, 6.41%, see rank | 14.95% | 16.57% |
5 Rooms | 266, 20.56%, see rank | 18.64% | 20.41% |
6 Rooms | 377, 29.13%, see rank | 17.96% | 18.25% |
7 Rooms | 240, 18.55%, see rank | 13.29% | 12.38% |
8 Rooms | 136, 10.51%, see rank | 9.91% | 8.59% |
9 Rooms or More | 165, 12.75%, see rank | 12.40% | 10.52% |
Median Rooms | 6.20, see rank | 5.70 | 5.50 |
US Census 2000 data
| 06455 Zip Code | Connecticut | U.S. |
Total Housing Units | 1,216, 100% | 1,385,975 | 115,904,641 |
1 Room | 3, 0.25%, see rank | 1.63% | 2.20% |
2 Rooms | 22, 1.81%, see rank | 3.86% | 4.81% |
3 Rooms | 47, 3.87%, see rank | 8.46% | 9.84% |
4 Rooms | 186, 15.30%, see rank | 14.58% | 15.97% |
5 Rooms | 275, 22.62%, see rank | 19.63% | 20.89% |
6 Rooms | 230, 18.91%, see rank | 18.36% | 18.45% |
7 Rooms | 209, 17.19%, see rank | 13.63% | 12.06% |
8 Rooms | 160, 13.16%, see rank | 10.08% | 8.06% |
9 Rooms or More | 84, 6.91%, see rank | 9.76% | 7.70% |
Median Rooms | 5.80, 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.