06763 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 06763 Zip Code | Connecticut | U.S. |
Total Housing Units | 1,129, 100% | 1,490,381 | 132,741,033 |
1 Room | 12, 1.06%, see rank | 1.93% | 1.95% |
2 Rooms | 46, 4.07%, see rank | 2.44% | 2.48% |
3 Rooms | 113, 10.01%, see rank | 8.62% | 9.13% |
4 Rooms | 174, 15.41%, see rank | 15.12% | 16.60% |
5 Rooms | 130, 11.51%, see rank | 18.84% | 20.41% |
6 Rooms | 166, 14.70%, see rank | 17.57% | 18.06% |
7 Rooms | 190, 16.83%, see rank | 13.35% | 12.27% |
8 Rooms | 138, 12.22%, see rank | 9.85% | 8.48% |
9 Rooms or More | 160, 14.17%, see rank | 12.29% | 10.60% |
Median Rooms | 6.00, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 06763 Zip Code | Connecticut | U.S. |
Total Housing Units | 1,092, 100% | 1,485,445 | 131,642,457 |
1 Room | 7, 0.64%, see rank | 1.97% | 1.95% |
2 Rooms | 13, 1.19%, see rank | 2.36% | 2.36% |
3 Rooms | 74, 6.78%, see rank | 8.52% | 8.97% |
4 Rooms | 205, 18.77%, see rank | 14.95% | 16.57% |
5 Rooms | 169, 15.48%, see rank | 18.64% | 20.41% |
6 Rooms | 204, 18.68%, see rank | 17.96% | 18.25% |
7 Rooms | 165, 15.11%, see rank | 13.29% | 12.38% |
8 Rooms | 110, 10.07%, see rank | 9.91% | 8.59% |
9 Rooms or More | 145, 13.28%, see rank | 12.40% | 10.52% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
US Census 2000 data
| 06763 Zip Code | Connecticut | U.S. |
Total Housing Units | 1,098, 100% | 1,385,975 | 115,904,641 |
1 Room | 8, 0.73%, see rank | 1.63% | 2.20% |
2 Rooms | 31, 2.82%, see rank | 3.86% | 4.81% |
3 Rooms | 88, 8.01%, see rank | 8.46% | 9.84% |
4 Rooms | 152, 13.84%, see rank | 14.58% | 15.97% |
5 Rooms | 225, 20.49%, see rank | 19.63% | 20.89% |
6 Rooms | 237, 21.58%, see rank | 18.36% | 18.45% |
7 Rooms | 158, 14.39%, see rank | 13.63% | 12.06% |
8 Rooms | 80, 7.29%, see rank | 10.08% | 8.06% |
9 Rooms or More | 119, 10.84%, see rank | 9.76% | 7.70% |
Median Rooms | 5.70, 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.