Brookings Micro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Brookings Area | South Dakota | U.S. |
| Total Housing Units | 13,475, 100% | 369,186 | 132,741,033 |
| No Bedroom | 133, 0.99%, see rank | 1.49% | 2.17% |
| 1 Bedroom | 1,449, 10.75%, see rank | 9.70% | 11.16% |
| 2 Bedrooms | 3,862, 28.66%, see rank | 28.08% | 26.69% |
| 3 Bedrooms | 4,670, 34.66%, see rank | 34.09% | 39.70% |
| 4 Bedrooms | 2,559, 18.99%, see rank | 19.37% | 16.05% |
| 5 or More Bedrooms | 802, 5.95%, see rank | 7.26% | 4.22% |
ACS 2008-2012 data
| | Brookings Area | South Dakota | U.S. |
| Total Housing Units | 13,104, 100% | 363,793 | 131,642,457 |
| No Bedroom | 166, 1.27%, see rank | 1.53% | 2.16% |
| 1 Bedroom | 1,394, 10.64%, see rank | 9.62% | 11.12% |
| 2 Bedrooms | 4,036, 30.80%, see rank | 28.30% | 26.85% |
| 3 Bedrooms | 4,333, 33.07%, see rank | 34.60% | 39.76% |
| 4 Bedrooms | 2,460, 18.77%, see rank | 19.00% | 15.95% |
| 5 or More Bedrooms | 715, 5.46%, see rank | 6.96% | 4.16% |
ACS 2006-2010 data
| | Brookings Area | South Dakota | U.S. |
| Total Housing Units | 12,782, 100% | 357,725 | 130,038,080 |
| No Bedroom | 142, 1.11%, see rank | 1.25% | 1.84% |
| 1 Bedroom | 1,518, 11.88%, see rank | 9.89% | 11.32% |
| 2 Bedrooms | 3,982, 31.15%, see rank | 28.61% | 27.20% |
| 3 Bedrooms | 4,006, 31.34%, see rank | 34.78% | 39.80% |
| 4 Bedrooms | 2,470, 19.32%, see rank | 18.73% | 15.80% |
| 5 or More Bedrooms | 664, 5.19%, see rank | 6.75% | 4.04% |
ACS 2005-2009 data
| | Brookings Area | South Dakota | U.S. |
| Total Housing Units | 12,914, 100% | 356,404 | 127,699,712 |
| No Bedroom | 161, 1.25%, see rank | 1.12% | 1.66% |
| 1 Bedroom | 1,423, 11.02%, see rank | 9.98% | 11.48% |
| 2 Bedrooms | 4,023, 31.15%, see rank | 28.77% | 27.48% |
| 3 Bedrooms | 4,106, 31.79%, see rank | 35.41% | 39.79% |
| 4 Bedrooms | 2,547, 19.72%, see rank | 18.18% | 15.64% |
| 5 or More Bedrooms | 654, 5.06%, 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.
