Wautoma Area School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Wautoma Area School District | Wisconsin | U.S. |
Total Housing Units | 6,378, 100% | 2,635,602 | 132,741,033 |
No Bedroom | 107, 1.68%, see rank | 1.76% | 2.17% |
1 Bedroom | 509, 7.98%, see rank | 9.90% | 11.16% |
2 Bedrooms | 2,222, 34.84%, see rank | 28.88% | 26.69% |
3 Bedrooms | 2,652, 41.58%, see rank | 41.24% | 39.70% |
4 Bedrooms | 634, 9.94%, see rank | 14.72% | 16.05% |
5 or More Bedrooms | 254, 3.98%, see rank | 3.50% | 4.22% |
ACS 2008-2012 data
| Wautoma Area School District | Wisconsin | U.S. |
Total Housing Units | 6,292, 100% | 2,620,401 | 131,642,457 |
No Bedroom | 97, 1.54%, see rank | 1.77% | 2.16% |
1 Bedroom | 476, 7.57%, see rank | 9.85% | 11.12% |
2 Bedrooms | 2,234, 35.51%, see rank | 28.90% | 26.85% |
3 Bedrooms | 2,571, 40.86%, see rank | 41.33% | 39.76% |
4 Bedrooms | 663, 10.54%, see rank | 14.67% | 15.95% |
5 or More Bedrooms | 251, 3.99%, see rank | 3.48% | 4.16% |
ACS 2006-2010 data
| Wautoma Area School District | Wisconsin | U.S. |
Total Housing Units | 6,309, 100% | 2,593,073 | 130,038,080 |
No Bedroom | 61, 0.97%, see rank | 1.51% | 1.84% |
1 Bedroom | 473, 7.50%, see rank | 9.85% | 11.32% |
2 Bedrooms | 2,357, 37.36%, see rank | 29.02% | 27.20% |
3 Bedrooms | 2,697, 42.75%, see rank | 41.57% | 39.80% |
4 Bedrooms | 503, 7.97%, see rank | 14.61% | 15.80% |
5 or More Bedrooms | 218, 3.46%, see rank | 3.44% | 4.04% |
ACS 2005-2009 data
| Wautoma Area School District | Wisconsin | U.S. |
Total Housing Units | 6,327, 100% | 2,549,915 | 127,699,712 |
No Bedroom | 82, 1.30%, see rank | 1.37% | 1.66% |
1 Bedroom | 486, 7.68%, see rank | 9.89% | 11.48% |
2 Bedrooms | 2,363, 37.35%, see rank | 28.99% | 27.48% |
3 Bedrooms | 2,632, 41.60%, see rank | 41.66% | 39.79% |
4 Bedrooms | 563, 8.90%, see rank | 14.66% | 15.64% |
5 or More Bedrooms | 201, 3.18%, see rank | 3.45% | 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.