Niangua R-V School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Niangua R-V School District | Missouri | U.S. |
| Total Housing Units | 818, 100% | 2,723,417 | 132,741,033 |
| No Bedroom | 0, 0.00%, see rank | 1.52% | 2.17% |
| 1 Bedroom | 58, 7.09%, see rank | 9.59% | 11.16% |
| 2 Bedrooms | 266, 32.52%, see rank | 27.72% | 26.69% |
| 3 Bedrooms | 408, 49.88%, see rank | 42.00% | 39.70% |
| 4 Bedrooms | 84, 10.27%, see rank | 15.22% | 16.05% |
| 5 or More Bedrooms | 2, 0.24%, see rank | 3.94% | 4.22% |
ACS 2008-2012 data
| | Niangua R-V School District | Missouri | U.S. |
| Total Housing Units | 792, 100% | 2,710,506 | 131,642,457 |
| No Bedroom | 0, 0.00%, see rank | 1.50% | 2.16% |
| 1 Bedroom | 43, 5.43%, see rank | 9.61% | 11.12% |
| 2 Bedrooms | 276, 34.85%, see rank | 27.89% | 26.85% |
| 3 Bedrooms | 382, 48.23%, see rank | 41.94% | 39.76% |
| 4 Bedrooms | 90, 11.36%, see rank | 15.14% | 15.95% |
| 5 or More Bedrooms | 1, 0.13%, see rank | 3.90% | 4.16% |
ACS 2006-2010 data
| | Niangua R-V School District | Missouri | U.S. |
| Total Housing Units | 776, 100% | 2,687,610 | 130,038,080 |
| No Bedroom | 0, 0.00%, see rank | 1.22% | 1.84% |
| 1 Bedroom | 46, 5.93%, see rank | 9.88% | 11.32% |
| 2 Bedrooms | 220, 28.35%, see rank | 28.17% | 27.20% |
| 3 Bedrooms | 366, 47.16%, see rank | 41.84% | 39.80% |
| 4 Bedrooms | 138, 17.78%, see rank | 15.10% | 15.80% |
| 5 or More Bedrooms | 6, 0.77%, see rank | 3.80% | 4.04% |
ACS 2005-2009 data
| | Niangua R-V School District | Missouri | U.S. |
| Total Housing Units | 830, 100% | 2,648,248 | 127,699,712 |
| No Bedroom | 0, 0.00%, see rank | 1.08% | 1.66% |
| 1 Bedroom | 57, 6.87%, see rank | 9.92% | 11.48% |
| 2 Bedrooms | 233, 28.07%, see rank | 28.54% | 27.48% |
| 3 Bedrooms | 405, 48.80%, see rank | 41.88% | 39.79% |
| 4 Bedrooms | 120, 14.46%, see rank | 14.90% | 15.64% |
| 5 or More Bedrooms | 15, 1.81%, see rank | 3.69% | 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.
