Sisseton School District 54-2 Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Sisseton School District 54-2 | South Dakota | U.S. |
Total Housing Units | 3,434, 100% | 369,186 | 132,741,033 |
No Bedroom | 19, 0.55%, see rank | 1.49% | 2.17% |
1 Bedroom | 292, 8.50%, see rank | 9.70% | 11.16% |
2 Bedrooms | 1,000, 29.12%, see rank | 28.08% | 26.69% |
3 Bedrooms | 1,288, 37.51%, see rank | 34.09% | 39.70% |
4 Bedrooms | 623, 18.14%, see rank | 19.37% | 16.05% |
5 or More Bedrooms | 212, 6.17%, see rank | 7.26% | 4.22% |
ACS 2008-2012 data
| Sisseton School District 54-2 | South Dakota | U.S. |
Total Housing Units | 3,396, 100% | 363,793 | 131,642,457 |
No Bedroom | 4, 0.12%, see rank | 1.53% | 2.16% |
1 Bedroom | 291, 8.57%, see rank | 9.62% | 11.12% |
2 Bedrooms | 1,002, 29.51%, see rank | 28.30% | 26.85% |
3 Bedrooms | 1,235, 36.37%, see rank | 34.60% | 39.76% |
4 Bedrooms | 606, 17.84%, see rank | 19.00% | 15.95% |
5 or More Bedrooms | 258, 7.60%, see rank | 6.96% | 4.16% |
ACS 2006-2010 data
| Sisseton School District 54-2 | South Dakota | U.S. |
Total Housing Units | 3,286, 100% | 357,725 | 130,038,080 |
No Bedroom | 6, 0.18%, see rank | 1.25% | 1.84% |
1 Bedroom | 348, 10.59%, see rank | 9.89% | 11.32% |
2 Bedrooms | 946, 28.79%, see rank | 28.61% | 27.20% |
3 Bedrooms | 1,192, 36.28%, see rank | 34.78% | 39.80% |
4 Bedrooms | 604, 18.38%, see rank | 18.73% | 15.80% |
5 or More Bedrooms | 190, 5.78%, see rank | 6.75% | 4.04% |
ACS 2005-2009 data
| Sisseton School District 54-2 | South Dakota | U.S. |
Total Housing Units | 3,394, 100% | 356,404 | 127,699,712 |
No Bedroom | 8, 0.24%, see rank | 1.12% | 1.66% |
1 Bedroom | 316, 9.31%, see rank | 9.98% | 11.48% |
2 Bedrooms | 1,029, 30.32%, see rank | 28.77% | 27.48% |
3 Bedrooms | 1,178, 34.71%, see rank | 35.41% | 39.79% |
4 Bedrooms | 648, 19.09%, see rank | 18.18% | 15.64% |
5 or More Bedrooms | 215, 6.33%, 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.