Custer School District 16-1 Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Custer School District 16-1 | South Dakota | U.S. |
Total Housing Units | 4,431, 100% | 369,186 | 132,741,033 |
No Bedroom | 59, 1.33%, see rank | 1.49% | 2.17% |
1 Bedroom | 342, 7.72%, see rank | 9.70% | 11.16% |
2 Bedrooms | 1,159, 26.16%, see rank | 28.08% | 26.69% |
3 Bedrooms | 1,946, 43.92%, see rank | 34.09% | 39.70% |
4 Bedrooms | 654, 14.76%, see rank | 19.37% | 16.05% |
5 or More Bedrooms | 271, 6.12%, see rank | 7.26% | 4.22% |
ACS 2008-2012 data
| Custer School District 16-1 | South Dakota | U.S. |
Total Housing Units | 4,446, 100% | 363,793 | 131,642,457 |
No Bedroom | 79, 1.78%, see rank | 1.53% | 2.16% |
1 Bedroom | 345, 7.76%, see rank | 9.62% | 11.12% |
2 Bedrooms | 1,344, 30.23%, see rank | 28.30% | 26.85% |
3 Bedrooms | 1,845, 41.50%, see rank | 34.60% | 39.76% |
4 Bedrooms | 606, 13.63%, see rank | 19.00% | 15.95% |
5 or More Bedrooms | 227, 5.11%, see rank | 6.96% | 4.16% |
ACS 2006-2010 data
| Custer School District 16-1 | South Dakota | U.S. |
Total Housing Units | 4,280, 100% | 357,725 | 130,038,080 |
No Bedroom | 105, 2.45%, see rank | 1.25% | 1.84% |
1 Bedroom | 410, 9.58%, see rank | 9.89% | 11.32% |
2 Bedrooms | 1,353, 31.61%, see rank | 28.61% | 27.20% |
3 Bedrooms | 1,672, 39.07%, see rank | 34.78% | 39.80% |
4 Bedrooms | 624, 14.58%, see rank | 18.73% | 15.80% |
5 or More Bedrooms | 116, 2.71%, see rank | 6.75% | 4.04% |
ACS 2005-2009 data
| Custer School District 16-1 | South Dakota | U.S. |
Total Housing Units | 4,109, 100% | 356,404 | 127,699,712 |
No Bedroom | 66, 1.61%, see rank | 1.12% | 1.66% |
1 Bedroom | 370, 9.00%, see rank | 9.98% | 11.48% |
2 Bedrooms | 1,434, 34.90%, see rank | 28.77% | 27.48% |
3 Bedrooms | 1,553, 37.80%, see rank | 35.41% | 39.79% |
4 Bedrooms | 562, 13.68%, see rank | 18.18% | 15.64% |
5 or More Bedrooms | 124, 3.02%, see rank | 6.53% | 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.