Luther Public Schools Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Luther Public Schools | Oklahoma | U.S. |
| Total Housing Units | 2,242, 100% | 1,680,457 | 132,741,033 |
| No Bedroom | 7, 0.31%, see rank | 1.54% | 2.17% |
| 1 Bedroom | 109, 4.86%, see rank | 8.89% | 11.16% |
| 2 Bedrooms | 485, 21.63%, see rank | 25.38% | 26.69% |
| 3 Bedrooms | 1,186, 52.90%, see rank | 49.01% | 39.70% |
| 4 Bedrooms | 383, 17.08%, see rank | 13.23% | 16.05% |
| 5 or More Bedrooms | 72, 3.21%, see rank | 1.94% | 4.22% |
ACS 2008-2012 data
| | Luther Public Schools | Oklahoma | U.S. |
| Total Housing Units | 2,251, 100% | 1,664,404 | 131,642,457 |
| No Bedroom | 10, 0.44%, see rank | 1.53% | 2.16% |
| 1 Bedroom | 88, 3.91%, see rank | 8.95% | 11.12% |
| 2 Bedrooms | 524, 23.28%, see rank | 25.64% | 26.85% |
| 3 Bedrooms | 1,180, 52.42%, see rank | 49.04% | 39.76% |
| 4 Bedrooms | 384, 17.06%, see rank | 12.95% | 15.95% |
| 5 or More Bedrooms | 65, 2.89%, see rank | 1.89% | 4.16% |
ACS 2006-2010 data
| | Luther Public Schools | Oklahoma | U.S. |
| Total Housing Units | 2,267, 100% | 1,644,228 | 130,038,080 |
| No Bedroom | 3, 0.13%, see rank | 1.21% | 1.84% |
| 1 Bedroom | 75, 3.31%, see rank | 9.17% | 11.32% |
| 2 Bedrooms | 498, 21.97%, see rank | 26.47% | 27.20% |
| 3 Bedrooms | 1,305, 57.57%, see rank | 48.89% | 39.80% |
| 4 Bedrooms | 354, 15.62%, see rank | 12.45% | 15.80% |
| 5 or More Bedrooms | 32, 1.41%, see rank | 1.82% | 4.04% |
ACS 2005-2009 data
| | Luther Public Schools | Oklahoma | U.S. |
| Total Housing Units | 1,941, 100% | 1,624,039 | 127,699,712 |
| No Bedroom | 2, 0.10%, see rank | 1.10% | 1.66% |
| 1 Bedroom | 98, 5.05%, see rank | 9.46% | 11.48% |
| 2 Bedrooms | 584, 30.09%, see rank | 26.95% | 27.48% |
| 3 Bedrooms | 945, 48.69%, see rank | 48.61% | 39.79% |
| 4 Bedrooms | 280, 14.43%, see rank | 12.08% | 15.64% |
| 5 or More Bedrooms | 32, 1.65%, see rank | 1.80% | 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.
