Kenyon-Wanamingo School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Kenyon-Wanamingo School District | Minnesota | U.S. |
Total Housing Units | 2,369, 100% | 2,364,149 | 132,741,033 |
No Bedroom | 11, 0.46%, see rank | 1.76% | 2.17% |
1 Bedroom | 197, 8.32%, see rank | 11.71% | 11.16% |
2 Bedrooms | 487, 20.56%, see rank | 26.64% | 26.69% |
3 Bedrooms | 954, 40.27%, see rank | 34.15% | 39.70% |
4 Bedrooms | 538, 22.71%, see rank | 19.81% | 16.05% |
5 or More Bedrooms | 182, 7.68%, see rank | 5.94% | 4.22% |
ACS 2008-2012 data
| Kenyon-Wanamingo School District | Minnesota | U.S. |
Total Housing Units | 2,321, 100% | 2,347,928 | 131,642,457 |
No Bedroom | 8, 0.34%, see rank | 1.66% | 2.16% |
1 Bedroom | 171, 7.37%, see rank | 11.72% | 11.12% |
2 Bedrooms | 505, 21.76%, see rank | 26.87% | 26.85% |
3 Bedrooms | 920, 39.64%, see rank | 34.37% | 39.76% |
4 Bedrooms | 535, 23.05%, see rank | 19.64% | 15.95% |
5 or More Bedrooms | 182, 7.84%, see rank | 5.75% | 4.16% |
ACS 2006-2010 data
| Kenyon-Wanamingo School District | Minnesota | U.S. |
Total Housing Units | 2,317, 100% | 2,327,948 | 130,038,080 |
No Bedroom | 0, 0.00%, see rank | 1.49% | 1.84% |
1 Bedroom | 191, 8.24%, see rank | 11.75% | 11.32% |
2 Bedrooms | 515, 22.23%, see rank | 27.16% | 27.20% |
3 Bedrooms | 966, 41.69%, see rank | 34.46% | 39.80% |
4 Bedrooms | 493, 21.28%, see rank | 19.54% | 15.80% |
5 or More Bedrooms | 152, 6.56%, see rank | 5.60% | 4.04% |
ACS 2005-2009 data
| Kenyon-Wanamingo School District | Minnesota | U.S. |
Total Housing Units | 2,252, 100% | 2,301,307 | 127,699,712 |
No Bedroom | 0, 0.00%, see rank | 1.36% | 1.66% |
1 Bedroom | 159, 7.06%, see rank | 11.78% | 11.48% |
2 Bedrooms | 528, 23.45%, see rank | 27.24% | 27.48% |
3 Bedrooms | 904, 40.14%, see rank | 34.60% | 39.79% |
4 Bedrooms | 520, 23.09%, see rank | 19.51% | 15.64% |
5 or More Bedrooms | 141, 6.26%, see rank | 5.50% | 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.