Bloomington Metro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Bloomington Area | Indiana | U.S. |
Total Housing Units | 69,536, 100% | 2,811,617 | 132,741,033 |
No Bedroom | 1,443, 2.08%, see rank | 1.38% | 2.17% |
1 Bedroom | 9,711, 13.97%, see rank | 9.26% | 11.16% |
2 Bedrooms | 19,732, 28.38%, see rank | 26.57% | 26.69% |
3 Bedrooms | 27,487, 39.53%, see rank | 44.05% | 39.70% |
4 Bedrooms | 8,521, 12.25%, see rank | 15.33% | 16.05% |
5 or More Bedrooms | 2,642, 3.80%, see rank | 3.40% | 4.22% |
ACS 2008-2012 data
| Bloomington Area | Indiana | U.S. |
Total Housing Units | 84,328, 100% | 2,797,237 | 131,642,457 |
No Bedroom | 1,666, 1.98%, see rank | 1.29% | 2.16% |
1 Bedroom | 10,563, 12.53%, see rank | 9.16% | 11.12% |
2 Bedrooms | 25,069, 29.73%, see rank | 26.81% | 26.85% |
3 Bedrooms | 33,603, 39.85%, see rank | 44.04% | 39.76% |
4 Bedrooms | 10,489, 12.44%, see rank | 15.35% | 15.95% |
5 or More Bedrooms | 2,938, 3.48%, see rank | 3.36% | 4.16% |
ACS 2006-2010 data
| Bloomington Area | Indiana | U.S. |
Total Housing Units | 83,718, 100% | 2,778,459 | 130,038,080 |
No Bedroom | 1,368, 1.63%, see rank | 0.98% | 1.84% |
1 Bedroom | 10,824, 12.93%, see rank | 9.40% | 11.32% |
2 Bedrooms | 25,357, 30.29%, see rank | 27.14% | 27.20% |
3 Bedrooms | 33,380, 39.87%, see rank | 44.10% | 39.80% |
4 Bedrooms | 10,200, 12.18%, see rank | 15.12% | 15.80% |
5 or More Bedrooms | 2,589, 3.09%, see rank | 3.25% | 4.04% |
ACS 2005-2009 data
| Bloomington Area | Indiana | U.S. |
Total Housing Units | 83,299, 100% | 2,775,849 | 127,699,712 |
No Bedroom | 1,153, 1.38%, see rank | 0.88% | 1.66% |
1 Bedroom | 10,257, 12.31%, see rank | 9.62% | 11.48% |
2 Bedrooms | 26,154, 31.40%, see rank | 27.62% | 27.48% |
3 Bedrooms | 33,559, 40.29%, see rank | 43.76% | 39.79% |
4 Bedrooms | 9,736, 11.69%, see rank | 14.95% | 15.64% |
5 or More Bedrooms | 2,440, 2.93%, 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.