Rugby Public School District 5 Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Rugby Public School District 5 | North Dakota | U.S. |
Total Housing Units | 2,032, 100% | 332,010 | 132,741,033 |
No Bedroom | 47, 2.31%, see rank | 1.70% | 2.17% |
1 Bedroom | 135, 6.64%, see rank | 10.16% | 11.16% |
2 Bedrooms | 387, 19.05%, see rank | 29.49% | 26.69% |
3 Bedrooms | 898, 44.19%, see rank | 32.98% | 39.70% |
4 Bedrooms | 394, 19.39%, see rank | 18.64% | 16.05% |
5 or More Bedrooms | 171, 8.42%, see rank | 7.04% | 4.22% |
ACS 2008-2012 data
| Rugby Public School District 5 | North Dakota | U.S. |
Total Housing Units | 1,978, 100% | 319,468 | 131,642,457 |
No Bedroom | 75, 3.79%, see rank | 1.60% | 2.16% |
1 Bedroom | 150, 7.58%, see rank | 9.91% | 11.12% |
2 Bedrooms | 402, 20.32%, see rank | 29.94% | 26.85% |
3 Bedrooms | 815, 41.20%, see rank | 33.36% | 39.76% |
4 Bedrooms | 419, 21.18%, see rank | 18.62% | 15.95% |
5 or More Bedrooms | 117, 5.92%, see rank | 6.57% | 4.16% |
ACS 2006-2010 data
| Rugby Public School District 5 | North Dakota | U.S. |
Total Housing Units | 1,910, 100% | 312,861 | 130,038,080 |
No Bedroom | 23, 1.20%, see rank | 1.33% | 1.84% |
1 Bedroom | 138, 7.23%, see rank | 10.19% | 11.32% |
2 Bedrooms | 642, 33.61%, see rank | 30.02% | 27.20% |
3 Bedrooms | 636, 33.30%, see rank | 33.61% | 39.80% |
4 Bedrooms | 399, 20.89%, see rank | 18.50% | 15.80% |
5 or More Bedrooms | 72, 3.77%, see rank | 6.34% | 4.04% |
ACS 2005-2009 data
| Rugby Public School District 5 | North Dakota | U.S. |
Total Housing Units | 1,811, 100% | 309,043 | 127,699,712 |
No Bedroom | 22, 1.21%, see rank | 1.23% | 1.66% |
1 Bedroom | 171, 9.44%, see rank | 10.32% | 11.48% |
2 Bedrooms | 524, 28.93%, see rank | 30.44% | 27.48% |
3 Bedrooms | 722, 39.87%, see rank | 33.41% | 39.79% |
4 Bedrooms | 286, 15.79%, see rank | 18.50% | 15.64% |
5 or More Bedrooms | 86, 4.75%, see rank | 6.10% | 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.