Mullan School District 392 Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Mullan School District 392 | Idaho | U.S. |
| Total Housing Units | 443, 100% | 675,421 | 132,741,033 |
| No Bedroom | 0, 0.00%, see rank | 1.72% | 2.17% |
| 1 Bedroom | 51, 11.51%, see rank | 7.43% | 11.16% |
| 2 Bedrooms | 167, 37.70%, see rank | 24.28% | 26.69% |
| 3 Bedrooms | 154, 34.76%, see rank | 40.63% | 39.70% |
| 4 Bedrooms | 44, 9.93%, see rank | 18.06% | 16.05% |
| 5 or More Bedrooms | 27, 6.09%, see rank | 7.88% | 4.22% |
ACS 2008-2012 data
| | Mullan School District 392 | Idaho | U.S. |
| Total Housing Units | 487, 100% | 666,718 | 131,642,457 |
| No Bedroom | 11, 2.26%, see rank | 1.48% | 2.16% |
| 1 Bedroom | 64, 13.14%, see rank | 7.22% | 11.12% |
| 2 Bedrooms | 158, 32.44%, see rank | 24.93% | 26.85% |
| 3 Bedrooms | 174, 35.73%, see rank | 40.71% | 39.76% |
| 4 Bedrooms | 52, 10.68%, see rank | 18.04% | 15.95% |
| 5 or More Bedrooms | 28, 5.75%, see rank | 7.62% | 4.16% |
ACS 2006-2010 data
| | Mullan School District 392 | Idaho | U.S. |
| Total Housing Units | 522, 100% | 652,323 | 130,038,080 |
| No Bedroom | 23, 4.41%, see rank | 1.27% | 1.84% |
| 1 Bedroom | 74, 14.18%, see rank | 7.28% | 11.32% |
| 2 Bedrooms | 172, 32.95%, see rank | 25.17% | 27.20% |
| 3 Bedrooms | 172, 32.95%, see rank | 41.06% | 39.80% |
| 4 Bedrooms | 50, 9.58%, see rank | 17.95% | 15.80% |
| 5 or More Bedrooms | 31, 5.94%, see rank | 7.27% | 4.04% |
ACS 2005-2009 data
| | Mullan School District 392 | Idaho | U.S. |
| Total Housing Units | 549, 100% | 626,901 | 127,699,712 |
| No Bedroom | 22, 4.01%, see rank | 1.15% | 1.66% |
| 1 Bedroom | 100, 18.21%, see rank | 7.26% | 11.48% |
| 2 Bedrooms | 138, 25.14%, see rank | 25.30% | 27.48% |
| 3 Bedrooms | 196, 35.70%, see rank | 41.20% | 39.79% |
| 4 Bedrooms | 52, 9.47%, see rank | 18.01% | 15.64% |
| 5 or More Bedrooms | 41, 7.47%, see rank | 7.08% | 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.
