Randolph Public Schools Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Randolph Public Schools | Nebraska | U.S. |
| Total Housing Units | 831, 100% | 805,256 | 132,741,033 |
| No Bedroom | 0, 0.00%, see rank | 1.53% | 2.17% |
| 1 Bedroom | 14, 1.68%, see rank | 11.25% | 11.16% |
| 2 Bedrooms | 251, 30.20%, see rank | 26.58% | 26.69% |
| 3 Bedrooms | 308, 37.06%, see rank | 37.51% | 39.70% |
| 4 Bedrooms | 177, 21.30%, see rank | 17.56% | 16.05% |
| 5 or More Bedrooms | 81, 9.75%, see rank | 5.56% | 4.22% |
ACS 2008-2012 data
| | Randolph Public Schools | Nebraska | U.S. |
| Total Housing Units | 834, 100% | 797,210 | 131,642,457 |
| No Bedroom | 0, 0.00%, see rank | 1.34% | 2.16% |
| 1 Bedroom | 24, 2.88%, see rank | 11.16% | 11.12% |
| 2 Bedrooms | 226, 27.10%, see rank | 26.81% | 26.85% |
| 3 Bedrooms | 306, 36.69%, see rank | 37.76% | 39.76% |
| 4 Bedrooms | 196, 23.50%, see rank | 17.66% | 15.95% |
| 5 or More Bedrooms | 82, 9.83%, see rank | 5.28% | 4.16% |
ACS 2006-2010 data
| | Randolph Public Schools | Nebraska | U.S. |
| Total Housing Units | 792, 100% | 788,218 | 130,038,080 |
| No Bedroom | 0, 0.00%, see rank | 1.09% | 1.84% |
| 1 Bedroom | 26, 3.28%, see rank | 11.37% | 11.32% |
| 2 Bedrooms | 185, 23.36%, see rank | 26.68% | 27.20% |
| 3 Bedrooms | 319, 40.28%, see rank | 37.93% | 39.80% |
| 4 Bedrooms | 216, 27.27%, see rank | 17.78% | 15.80% |
| 5 or More Bedrooms | 46, 5.81%, see rank | 5.16% | 4.04% |
ACS 2005-2009 data
| | Randolph Public Schools | Nebraska | U.S. |
| Total Housing Units | 797, 100% | 778,882 | 127,699,712 |
| No Bedroom | 0, 0.00%, see rank | 1.06% | 1.66% |
| 1 Bedroom | 31, 3.89%, see rank | 11.74% | 11.48% |
| 2 Bedrooms | 171, 21.46%, see rank | 27.14% | 27.48% |
| 3 Bedrooms | 297, 37.26%, see rank | 37.50% | 39.79% |
| 4 Bedrooms | 263, 33.00%, see rank | 17.50% | 15.64% |
| 5 or More Bedrooms | 35, 4.39%, see rank | 5.07% | 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.
