Clinton School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Clinton School District | Connecticut | U.S. |
Total Housing Units | 6,001, 100% | 1,490,381 | 132,741,033 |
No Bedroom | 52, 0.87%, see rank | 2.11% | 2.17% |
1 Bedroom | 567, 9.45%, see rank | 12.40% | 11.16% |
2 Bedrooms | 1,450, 24.16%, see rank | 27.10% | 26.69% |
3 Bedrooms | 2,185, 36.41%, see rank | 36.79% | 39.70% |
4 Bedrooms | 1,432, 23.86%, see rank | 17.04% | 16.05% |
5 or More Bedrooms | 315, 5.25%, see rank | 4.57% | 4.22% |
ACS 2008-2012 data
| Clinton School District | Connecticut | U.S. |
Total Housing Units | 6,172, 100% | 1,485,445 | 131,642,457 |
No Bedroom | 62, 1.00%, see rank | 2.17% | 2.16% |
1 Bedroom | 574, 9.30%, see rank | 12.33% | 11.12% |
2 Bedrooms | 1,605, 26.00%, see rank | 27.34% | 26.85% |
3 Bedrooms | 2,276, 36.88%, see rank | 36.68% | 39.76% |
4 Bedrooms | 1,381, 22.38%, see rank | 17.00% | 15.95% |
5 or More Bedrooms | 274, 4.44%, see rank | 4.48% | 4.16% |
ACS 2006-2010 data
| Clinton School District | Connecticut | U.S. |
Total Housing Units | 6,094, 100% | 1,475,657 | 130,038,080 |
No Bedroom | 73, 1.20%, see rank | 1.84% | 1.84% |
1 Bedroom | 599, 9.83%, see rank | 12.51% | 11.32% |
2 Bedrooms | 1,501, 24.63%, see rank | 27.43% | 27.20% |
3 Bedrooms | 2,604, 42.73%, see rank | 36.88% | 39.80% |
4 Bedrooms | 1,143, 18.76%, see rank | 16.82% | 15.80% |
5 or More Bedrooms | 174, 2.86%, see rank | 4.52% | 4.04% |
ACS 2005-2009 data
| Clinton School District | Connecticut | U.S. |
Total Housing Units | 6,129, 100% | 1,437,133 | 127,699,712 |
No Bedroom | 32, 0.52%, see rank | 1.62% | 1.66% |
1 Bedroom | 579, 9.45%, see rank | 12.63% | 11.48% |
2 Bedrooms | 1,571, 25.63%, see rank | 27.51% | 27.48% |
3 Bedrooms | 2,657, 43.35%, see rank | 36.86% | 39.79% |
4 Bedrooms | 1,164, 18.99%, see rank | 16.81% | 15.64% |
5 or More Bedrooms | 126, 2.06%, see rank | 4.56% | 3.94% |
* 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.