Starkweather Public School District 44 Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Starkweather Public School District 44 | North Dakota | U.S. |
Total Housing Units | 273, 100% | 332,010 | 132,741,033 |
No Bedroom | 3, 1.10%, see rank | 1.70% | 2.17% |
1 Bedroom | 4, 1.47%, see rank | 10.16% | 11.16% |
2 Bedrooms | 47, 17.22%, see rank | 29.49% | 26.69% |
3 Bedrooms | 140, 51.28%, see rank | 32.98% | 39.70% |
4 Bedrooms | 52, 19.05%, see rank | 18.64% | 16.05% |
5 or More Bedrooms | 27, 9.89%, see rank | 7.04% | 4.22% |
ACS 2008-2012 data
| Starkweather Public School District 44 | North Dakota | U.S. |
Total Housing Units | 293, 100% | 319,468 | 131,642,457 |
No Bedroom | 3, 1.02%, see rank | 1.60% | 2.16% |
1 Bedroom | 2, 0.68%, see rank | 9.91% | 11.12% |
2 Bedrooms | 54, 18.43%, see rank | 29.94% | 26.85% |
3 Bedrooms | 159, 54.27%, see rank | 33.36% | 39.76% |
4 Bedrooms | 51, 17.41%, see rank | 18.62% | 15.95% |
5 or More Bedrooms | 24, 8.19%, see rank | 6.57% | 4.16% |
ACS 2006-2010 data
| Starkweather Public School District 44 | North Dakota | U.S. |
Total Housing Units | 313, 100% | 312,861 | 130,038,080 |
No Bedroom | 2, 0.64%, see rank | 1.33% | 1.84% |
1 Bedroom | 8, 2.56%, see rank | 10.19% | 11.32% |
2 Bedrooms | 53, 16.93%, see rank | 30.02% | 27.20% |
3 Bedrooms | 180, 57.51%, see rank | 33.61% | 39.80% |
4 Bedrooms | 58, 18.53%, see rank | 18.50% | 15.80% |
5 or More Bedrooms | 12, 3.83%, see rank | 6.34% | 4.04% |
ACS 2005-2009 data
| Starkweather Public School District 44 | North Dakota | U.S. |
Total Housing Units | 348, 100% | 309,043 | 127,699,712 |
No Bedroom | 4, 1.15%, see rank | 1.23% | 1.66% |
1 Bedroom | 9, 2.59%, see rank | 10.32% | 11.48% |
2 Bedrooms | 67, 19.25%, see rank | 30.44% | 27.48% |
3 Bedrooms | 192, 55.17%, see rank | 33.41% | 39.79% |
4 Bedrooms | 69, 19.83%, see rank | 18.50% | 15.64% |
5 or More Bedrooms | 7, 2.01%, 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.