06870 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 06870 Zip Code | Connecticut | U.S. |
Total Housing Units | 2,554, 100% | 1,490,381 | 132,741,033 |
1 Room | 40, 1.57%, see rank | 1.93% | 1.95% |
2 Rooms | 22, 0.86%, see rank | 2.44% | 2.48% |
3 Rooms | 157, 6.15%, see rank | 8.62% | 9.13% |
4 Rooms | 151, 5.91%, see rank | 15.12% | 16.60% |
5 Rooms | 138, 5.40%, see rank | 18.84% | 20.41% |
6 Rooms | 259, 10.14%, see rank | 17.57% | 18.06% |
7 Rooms | 383, 15.00%, see rank | 13.35% | 12.27% |
8 Rooms | 430, 16.84%, see rank | 9.85% | 8.48% |
9 Rooms or More | 974, 38.14%, see rank | 12.29% | 10.60% |
Median Rooms | 7.80, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 06870 Zip Code | Connecticut | U.S. |
Total Housing Units | 2,547, 100% | 1,485,445 | 131,642,457 |
1 Room | 42, 1.65%, see rank | 1.97% | 1.95% |
2 Rooms | 25, 0.98%, see rank | 2.36% | 2.36% |
3 Rooms | 143, 5.61%, see rank | 8.52% | 8.97% |
4 Rooms | 153, 6.01%, see rank | 14.95% | 16.57% |
5 Rooms | 139, 5.46%, see rank | 18.64% | 20.41% |
6 Rooms | 249, 9.78%, see rank | 17.96% | 18.25% |
7 Rooms | 331, 13.00%, see rank | 13.29% | 12.38% |
8 Rooms | 510, 20.02%, see rank | 9.91% | 8.59% |
9 Rooms or More | 955, 37.50%, see rank | 12.40% | 10.52% |
Median Rooms | 7.90, see rank | 5.70 | 5.50 |
US Census 2000 data
| 06870 Zip Code | Connecticut | U.S. |
Total Housing Units | 2,766, 100% | 1,385,975 | 115,904,641 |
1 Room | 58, 2.10%, see rank | 1.63% | 2.20% |
2 Rooms | 67, 2.42%, see rank | 3.86% | 4.81% |
3 Rooms | 139, 5.03%, see rank | 8.46% | 9.84% |
4 Rooms | 194, 7.01%, see rank | 14.58% | 15.97% |
5 Rooms | 288, 10.41%, see rank | 19.63% | 20.89% |
6 Rooms | 331, 11.97%, see rank | 18.36% | 18.45% |
7 Rooms | 496, 17.93%, see rank | 13.63% | 12.06% |
8 Rooms | 510, 18.44%, see rank | 10.08% | 8.06% |
9 Rooms or More | 683, 24.69%, see rank | 9.76% | 7.70% |
Median Rooms | 7.10, 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.