06378 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 06378 Zip Code | Connecticut | U.S. |
Total Housing Units | 3,081, 100% | 1,490,381 | 132,741,033 |
1 Room | 68, 2.21%, see rank | 1.93% | 1.95% |
2 Rooms | 37, 1.20%, see rank | 2.44% | 2.48% |
3 Rooms | 141, 4.58%, see rank | 8.62% | 9.13% |
4 Rooms | 467, 15.16%, see rank | 15.12% | 16.60% |
5 Rooms | 479, 15.55%, see rank | 18.84% | 20.41% |
6 Rooms | 549, 17.82%, see rank | 17.57% | 18.06% |
7 Rooms | 474, 15.38%, see rank | 13.35% | 12.27% |
8 Rooms | 290, 9.41%, see rank | 9.85% | 8.48% |
9 Rooms or More | 576, 18.70%, see rank | 12.29% | 10.60% |
Median Rooms | 6.10, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 06378 Zip Code | Connecticut | U.S. |
Total Housing Units | 2,979, 100% | 1,485,445 | 131,642,457 |
1 Room | 52, 1.75%, see rank | 1.97% | 1.95% |
2 Rooms | 31, 1.04%, see rank | 2.36% | 2.36% |
3 Rooms | 181, 6.08%, see rank | 8.52% | 8.97% |
4 Rooms | 552, 18.53%, see rank | 14.95% | 16.57% |
5 Rooms | 549, 18.43%, see rank | 18.64% | 20.41% |
6 Rooms | 449, 15.07%, see rank | 17.96% | 18.25% |
7 Rooms | 343, 11.51%, see rank | 13.29% | 12.38% |
8 Rooms | 278, 9.33%, see rank | 9.91% | 8.59% |
9 Rooms or More | 544, 18.26%, see rank | 12.40% | 10.52% |
Median Rooms | 5.80, see rank | 5.70 | 5.50 |
US Census 2000 data
| 06378 Zip Code | Connecticut | U.S. |
Total Housing Units | 2,843, 100% | 1,385,975 | 115,904,641 |
1 Room | 25, 0.88%, see rank | 1.63% | 2.20% |
2 Rooms | 50, 1.76%, see rank | 3.86% | 4.81% |
3 Rooms | 174, 6.12%, see rank | 8.46% | 9.84% |
4 Rooms | 377, 13.26%, see rank | 14.58% | 15.97% |
5 Rooms | 562, 19.77%, see rank | 19.63% | 20.89% |
6 Rooms | 446, 15.69%, see rank | 18.36% | 18.45% |
7 Rooms | 492, 17.31%, see rank | 13.63% | 12.06% |
8 Rooms | 297, 10.45%, see rank | 10.08% | 8.06% |
9 Rooms or More | 420, 14.77%, see rank | 9.76% | 7.70% |
Median Rooms | 6.00, 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.