Clinton Prairie School Corporation Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Clinton Prairie School Corporation | Indiana | U.S. |
Total Housing Units | 2,394, 100% | 2,811,617 | 132,741,033 |
No Bedroom | 42, 1.75%, see rank | 1.38% | 2.17% |
1 Bedroom | 71, 2.97%, see rank | 9.26% | 11.16% |
2 Bedrooms | 481, 20.09%, see rank | 26.57% | 26.69% |
3 Bedrooms | 1,248, 52.13%, see rank | 44.05% | 39.70% |
4 Bedrooms | 450, 18.80%, see rank | 15.33% | 16.05% |
5 or More Bedrooms | 102, 4.26%, see rank | 3.40% | 4.22% |
ACS 2008-2012 data
| Clinton Prairie School Corporation | Indiana | U.S. |
Total Housing Units | 2,363, 100% | 2,797,237 | 131,642,457 |
No Bedroom | 15, 0.63%, see rank | 1.29% | 2.16% |
1 Bedroom | 61, 2.58%, see rank | 9.16% | 11.12% |
2 Bedrooms | 422, 17.86%, see rank | 26.81% | 26.85% |
3 Bedrooms | 1,268, 53.66%, see rank | 44.04% | 39.76% |
4 Bedrooms | 481, 20.36%, see rank | 15.35% | 15.95% |
5 or More Bedrooms | 116, 4.91%, see rank | 3.36% | 4.16% |
ACS 2006-2010 data
| Clinton Prairie School Corporation | Indiana | U.S. |
Total Housing Units | 2,334, 100% | 2,778,459 | 130,038,080 |
No Bedroom | 16, 0.69%, see rank | 0.98% | 1.84% |
1 Bedroom | 70, 3.00%, see rank | 9.40% | 11.32% |
2 Bedrooms | 490, 20.99%, see rank | 27.14% | 27.20% |
3 Bedrooms | 1,256, 53.81%, see rank | 44.10% | 39.80% |
4 Bedrooms | 439, 18.81%, see rank | 15.12% | 15.80% |
5 or More Bedrooms | 63, 2.70%, see rank | 3.25% | 4.04% |
ACS 2005-2009 data
| Clinton Prairie School Corporation | Indiana | U.S. |
Total Housing Units | 2,597, 100% | 2,775,849 | 127,699,712 |
No Bedroom | 13, 0.50%, see rank | 0.88% | 1.66% |
1 Bedroom | 82, 3.16%, see rank | 9.62% | 11.48% |
2 Bedrooms | 515, 19.83%, see rank | 27.62% | 27.48% |
3 Bedrooms | 1,373, 52.87%, see rank | 43.76% | 39.79% |
4 Bedrooms | 532, 20.49%, see rank | 14.95% | 15.64% |
5 or More Bedrooms | 82, 3.16%, see rank | 3.17% | 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.