Huron Micro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Huron Area | South Dakota | U.S. |
| Total Housing Units | 8,339, 100% | 369,186 | 132,741,033 |
| No Bedroom | 176, 2.11%, see rank | 1.49% | 2.17% |
| 1 Bedroom | 1,109, 13.30%, see rank | 9.70% | 11.16% |
| 2 Bedrooms | 2,748, 32.95%, see rank | 28.08% | 26.69% |
| 3 Bedrooms | 2,600, 31.18%, see rank | 34.09% | 39.70% |
| 4 Bedrooms | 1,150, 13.79%, see rank | 19.37% | 16.05% |
| 5 or More Bedrooms | 556, 6.67%, see rank | 7.26% | 4.22% |
ACS 2008-2012 data
| | Huron Area | South Dakota | U.S. |
| Total Housing Units | 8,301, 100% | 363,793 | 131,642,457 |
| No Bedroom | 133, 1.60%, see rank | 1.53% | 2.16% |
| 1 Bedroom | 1,087, 13.09%, see rank | 9.62% | 11.12% |
| 2 Bedrooms | 2,717, 32.73%, see rank | 28.30% | 26.85% |
| 3 Bedrooms | 2,728, 32.86%, see rank | 34.60% | 39.76% |
| 4 Bedrooms | 1,107, 13.34%, see rank | 19.00% | 15.95% |
| 5 or More Bedrooms | 529, 6.37%, see rank | 6.96% | 4.16% |
ACS 2006-2010 data
| | Huron Area | South Dakota | U.S. |
| Total Housing Units | 8,288, 100% | 357,725 | 130,038,080 |
| No Bedroom | 132, 1.59%, see rank | 1.25% | 1.84% |
| 1 Bedroom | 1,220, 14.72%, see rank | 9.89% | 11.32% |
| 2 Bedrooms | 2,558, 30.86%, see rank | 28.61% | 27.20% |
| 3 Bedrooms | 2,791, 33.68%, see rank | 34.78% | 39.80% |
| 4 Bedrooms | 980, 11.82%, see rank | 18.73% | 15.80% |
| 5 or More Bedrooms | 607, 7.32%, see rank | 6.75% | 4.04% |
ACS 2005-2009 data
| | Huron Area | South Dakota | U.S. |
| Total Housing Units | 8,332, 100% | 356,404 | 127,699,712 |
| No Bedroom | 71, 0.85%, see rank | 1.12% | 1.66% |
| 1 Bedroom | 1,085, 13.02%, see rank | 9.98% | 11.48% |
| 2 Bedrooms | 2,502, 30.03%, see rank | 28.77% | 27.48% |
| 3 Bedrooms | 3,038, 36.46%, see rank | 35.41% | 39.79% |
| 4 Bedrooms | 1,067, 12.81%, see rank | 18.18% | 15.64% |
| 5 or More Bedrooms | 569, 6.83%, 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.
