Harding County School District 31-1 Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Harding County School District 31-1 | South Dakota | U.S. |
Total Housing Units | 677, 100% | 369,186 | 132,741,033 |
No Bedroom | 0, 0.00%, see rank | 1.49% | 2.17% |
1 Bedroom | 27, 3.99%, see rank | 9.70% | 11.16% |
2 Bedrooms | 177, 26.14%, see rank | 28.08% | 26.69% |
3 Bedrooms | 258, 38.11%, see rank | 34.09% | 39.70% |
4 Bedrooms | 147, 21.71%, see rank | 19.37% | 16.05% |
5 or More Bedrooms | 68, 10.04%, see rank | 7.26% | 4.22% |
ACS 2008-2012 data
| Harding County School District 31-1 | South Dakota | U.S. |
Total Housing Units | 711, 100% | 363,793 | 131,642,457 |
No Bedroom | 6, 0.84%, see rank | 1.53% | 2.16% |
1 Bedroom | 22, 3.09%, see rank | 9.62% | 11.12% |
2 Bedrooms | 182, 25.60%, see rank | 28.30% | 26.85% |
3 Bedrooms | 264, 37.13%, see rank | 34.60% | 39.76% |
4 Bedrooms | 165, 23.21%, see rank | 19.00% | 15.95% |
5 or More Bedrooms | 72, 10.13%, see rank | 6.96% | 4.16% |
ACS 2006-2010 data
| Harding County School District 31-1 | South Dakota | U.S. |
Total Housing Units | 705, 100% | 357,725 | 130,038,080 |
No Bedroom | 9, 1.28%, see rank | 1.25% | 1.84% |
1 Bedroom | 32, 4.54%, see rank | 9.89% | 11.32% |
2 Bedrooms | 197, 27.94%, see rank | 28.61% | 27.20% |
3 Bedrooms | 275, 39.01%, see rank | 34.78% | 39.80% |
4 Bedrooms | 152, 21.56%, see rank | 18.73% | 15.80% |
5 or More Bedrooms | 40, 5.67%, see rank | 6.75% | 4.04% |
ACS 2005-2009 data
| Harding County School District 31-1 | South Dakota | U.S. |
Total Housing Units | 714, 100% | 356,404 | 127,699,712 |
No Bedroom | 14, 1.96%, see rank | 1.12% | 1.66% |
1 Bedroom | 47, 6.58%, see rank | 9.98% | 11.48% |
2 Bedrooms | 189, 26.47%, see rank | 28.77% | 27.48% |
3 Bedrooms | 265, 37.11%, see rank | 35.41% | 39.79% |
4 Bedrooms | 157, 21.99%, see rank | 18.18% | 15.64% |
5 or More Bedrooms | 42, 5.88%, 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.