06525 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 06525 Zip Code | Connecticut | U.S. |
Total Housing Units | 3,222, 100% | 1,490,381 | 132,741,033 |
1 Room | 40, 1.24%, see rank | 1.93% | 1.95% |
2 Rooms | 42, 1.30%, see rank | 2.44% | 2.48% |
3 Rooms | 8, 0.25%, see rank | 8.62% | 9.13% |
4 Rooms | 142, 4.41%, see rank | 15.12% | 16.60% |
5 Rooms | 217, 6.73%, see rank | 18.84% | 20.41% |
6 Rooms | 468, 14.53%, see rank | 17.57% | 18.06% |
7 Rooms | 467, 14.49%, see rank | 13.35% | 12.27% |
8 Rooms | 583, 18.09%, see rank | 9.85% | 8.48% |
9 Rooms or More | 1,255, 38.95%, see rank | 12.29% | 10.60% |
Median Rooms | 7.90, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 06525 Zip Code | Connecticut | U.S. |
Total Housing Units | 3,607, 100% | 1,485,445 | 131,642,457 |
1 Room | 47, 1.30%, see rank | 1.97% | 1.95% |
2 Rooms | 73, 2.02%, see rank | 2.36% | 2.36% |
3 Rooms | 24, 0.67%, see rank | 8.52% | 8.97% |
4 Rooms | 106, 2.94%, see rank | 14.95% | 16.57% |
5 Rooms | 186, 5.16%, see rank | 18.64% | 20.41% |
6 Rooms | 348, 9.65%, see rank | 17.96% | 18.25% |
7 Rooms | 677, 18.77%, see rank | 13.29% | 12.38% |
8 Rooms | 742, 20.57%, see rank | 9.91% | 8.59% |
9 Rooms or More | 1,404, 38.92%, see rank | 12.40% | 10.52% |
Median Rooms | 8.00, see rank | 5.70 | 5.50 |
US Census 2000 data
| 06525 Zip Code | Connecticut | U.S. |
Total Housing Units | 3,189, 100% | 1,385,975 | 115,904,641 |
1 Room | 16, 0.50%, see rank | 1.63% | 2.20% |
2 Rooms | 13, 0.41%, see rank | 3.86% | 4.81% |
3 Rooms | 97, 3.04%, see rank | 8.46% | 9.84% |
4 Rooms | 133, 4.17%, see rank | 14.58% | 15.97% |
5 Rooms | 233, 7.31%, see rank | 19.63% | 20.89% |
6 Rooms | 388, 12.17%, see rank | 18.36% | 18.45% |
7 Rooms | 602, 18.88%, see rank | 13.63% | 12.06% |
8 Rooms | 684, 21.45%, see rank | 10.08% | 8.06% |
9 Rooms or More | 1,023, 32.08%, see rank | 9.76% | 7.70% |
Median Rooms | 7.70, 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.