06248 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 06248 Zip Code | Connecticut | U.S. |
Total Housing Units | 2,054, 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 | 20, 0.97%, see rank | 8.62% | 9.13% |
4 Rooms | 87, 4.24%, see rank | 15.12% | 16.60% |
5 Rooms | 313, 15.24%, see rank | 18.84% | 20.41% |
6 Rooms | 446, 21.71%, see rank | 17.57% | 18.06% |
7 Rooms | 311, 15.14%, see rank | 13.35% | 12.27% |
8 Rooms | 346, 16.85%, see rank | 9.85% | 8.48% |
9 Rooms or More | 531, 25.85%, see rank | 12.29% | 10.60% |
Median Rooms | 7.00, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 06248 Zip Code | Connecticut | U.S. |
Total Housing Units | 2,032, 100% | 1,485,445 | 131,642,457 |
1 Room | 11, 0.54%, see rank | 1.97% | 1.95% |
2 Rooms | 43, 2.12%, see rank | 2.36% | 2.36% |
3 Rooms | 0, 0.00%, see rank | 8.52% | 8.97% |
4 Rooms | 107, 5.27%, see rank | 14.95% | 16.57% |
5 Rooms | 296, 14.57%, see rank | 18.64% | 20.41% |
6 Rooms | 386, 19.00%, see rank | 17.96% | 18.25% |
7 Rooms | 429, 21.11%, see rank | 13.29% | 12.38% |
8 Rooms | 349, 17.18%, see rank | 9.91% | 8.59% |
9 Rooms or More | 411, 20.23%, see rank | 12.40% | 10.52% |
Median Rooms | 6.90, see rank | 5.70 | 5.50 |
US Census 2000 data
| 06248 Zip Code | Connecticut | U.S. |
Total Housing Units | 1,816, 100% | 1,385,975 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.63% | 2.20% |
2 Rooms | 0, 0.00%, see rank | 3.86% | 4.81% |
3 Rooms | 49, 2.70%, see rank | 8.46% | 9.84% |
4 Rooms | 88, 4.85%, see rank | 14.58% | 15.97% |
5 Rooms | 168, 9.25%, see rank | 19.63% | 20.89% |
6 Rooms | 394, 21.70%, see rank | 18.36% | 18.45% |
7 Rooms | 434, 23.90%, see rank | 13.63% | 12.06% |
8 Rooms | 445, 24.50%, see rank | 10.08% | 8.06% |
9 Rooms or More | 238, 13.11%, see rank | 9.76% | 7.70% |
Median Rooms | 7.00, 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.