06089 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 06089 Zip Code | Connecticut | U.S. |
Total Housing Units | 1,231, 100% | 1,490,381 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.93% | 1.95% |
2 Rooms | 18, 1.46%, see rank | 2.44% | 2.48% |
3 Rooms | 123, 9.99%, see rank | 8.62% | 9.13% |
4 Rooms | 202, 16.41%, see rank | 15.12% | 16.60% |
5 Rooms | 86, 6.99%, see rank | 18.84% | 20.41% |
6 Rooms | 83, 6.74%, see rank | 17.57% | 18.06% |
7 Rooms | 114, 9.26%, see rank | 13.35% | 12.27% |
8 Rooms | 273, 22.18%, see rank | 9.85% | 8.48% |
9 Rooms or More | 332, 26.97%, see rank | 12.29% | 10.60% |
Median Rooms | 7.40, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 06089 Zip Code | Connecticut | U.S. |
Total Housing Units | 1,116, 100% | 1,485,445 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.97% | 1.95% |
2 Rooms | 30, 2.69%, see rank | 2.36% | 2.36% |
3 Rooms | 107, 9.59%, see rank | 8.52% | 8.97% |
4 Rooms | 174, 15.59%, see rank | 14.95% | 16.57% |
5 Rooms | 89, 7.97%, see rank | 18.64% | 20.41% |
6 Rooms | 76, 6.81%, see rank | 17.96% | 18.25% |
7 Rooms | 128, 11.47%, see rank | 13.29% | 12.38% |
8 Rooms | 196, 17.56%, see rank | 9.91% | 8.59% |
9 Rooms or More | 316, 28.32%, see rank | 12.40% | 10.52% |
Median Rooms | 7.10, see rank | 5.70 | 5.50 |
US Census 2000 data
| 06089 Zip Code | Connecticut | U.S. |
Total Housing Units | 1,335, 100% | 1,385,975 | 115,904,641 |
1 Room | 7, 0.52%, see rank | 1.63% | 2.20% |
2 Rooms | 28, 2.10%, see rank | 3.86% | 4.81% |
3 Rooms | 109, 8.16%, see rank | 8.46% | 9.84% |
4 Rooms | 152, 11.39%, see rank | 14.58% | 15.97% |
5 Rooms | 133, 9.96%, see rank | 19.63% | 20.89% |
6 Rooms | 147, 11.01%, see rank | 18.36% | 18.45% |
7 Rooms | 153, 11.46%, see rank | 13.63% | 12.06% |
8 Rooms | 315, 23.60%, see rank | 10.08% | 8.06% |
9 Rooms or More | 291, 21.80%, 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.