Morrill Public Schools Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Morrill Public Schools | Nebraska | U.S. |
| Total Housing Units | 1,211, 100% | 805,256 | 132,741,033 |
| No Bedroom | 2, 0.17%, see rank | 1.53% | 2.17% |
| 1 Bedroom | 90, 7.43%, see rank | 11.25% | 11.16% |
| 2 Bedrooms | 390, 32.20%, see rank | 26.58% | 26.69% |
| 3 Bedrooms | 470, 38.81%, see rank | 37.51% | 39.70% |
| 4 Bedrooms | 202, 16.68%, see rank | 17.56% | 16.05% |
| 5 or More Bedrooms | 57, 4.71%, see rank | 5.56% | 4.22% |
ACS 2008-2012 data
| | Morrill Public Schools | Nebraska | U.S. |
| Total Housing Units | 1,272, 100% | 797,210 | 131,642,457 |
| No Bedroom | 2, 0.16%, see rank | 1.34% | 2.16% |
| 1 Bedroom | 189, 14.86%, see rank | 11.16% | 11.12% |
| 2 Bedrooms | 352, 27.67%, see rank | 26.81% | 26.85% |
| 3 Bedrooms | 471, 37.03%, see rank | 37.76% | 39.76% |
| 4 Bedrooms | 189, 14.86%, see rank | 17.66% | 15.95% |
| 5 or More Bedrooms | 69, 5.42%, see rank | 5.28% | 4.16% |
ACS 2006-2010 data
| | Morrill Public Schools | Nebraska | U.S. |
| Total Housing Units | 1,212, 100% | 788,218 | 130,038,080 |
| No Bedroom | 0, 0.00%, see rank | 1.09% | 1.84% |
| 1 Bedroom | 154, 12.71%, see rank | 11.37% | 11.32% |
| 2 Bedrooms | 344, 28.38%, see rank | 26.68% | 27.20% |
| 3 Bedrooms | 462, 38.12%, see rank | 37.93% | 39.80% |
| 4 Bedrooms | 174, 14.36%, see rank | 17.78% | 15.80% |
| 5 or More Bedrooms | 78, 6.44%, see rank | 5.16% | 4.04% |
ACS 2005-2009 data
| | Morrill Public Schools | Nebraska | U.S. |
| Total Housing Units | 1,309, 100% | 778,882 | 127,699,712 |
| No Bedroom | 6, 0.46%, see rank | 1.06% | 1.66% |
| 1 Bedroom | 170, 12.99%, see rank | 11.74% | 11.48% |
| 2 Bedrooms | 326, 24.90%, see rank | 27.14% | 27.48% |
| 3 Bedrooms | 551, 42.09%, see rank | 37.50% | 39.79% |
| 4 Bedrooms | 198, 15.13%, see rank | 17.50% | 15.64% |
| 5 or More Bedrooms | 58, 4.43%, 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.
