Clayton Public Schools Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Clayton Public Schools | Oklahoma | U.S. |
| Total Housing Units | 879, 100% | 1,680,457 | 132,741,033 |
| No Bedroom | 24, 2.73%, see rank | 1.54% | 2.17% |
| 1 Bedroom | 102, 11.60%, see rank | 8.89% | 11.16% |
| 2 Bedrooms | 224, 25.48%, see rank | 25.38% | 26.69% |
| 3 Bedrooms | 404, 45.96%, see rank | 49.01% | 39.70% |
| 4 Bedrooms | 96, 10.92%, see rank | 13.23% | 16.05% |
| 5 or More Bedrooms | 29, 3.30%, see rank | 1.94% | 4.22% |
ACS 2008-2012 data
| | Clayton Public Schools | Oklahoma | U.S. |
| Total Housing Units | 927, 100% | 1,664,404 | 131,642,457 |
| No Bedroom | 21, 2.27%, see rank | 1.53% | 2.16% |
| 1 Bedroom | 127, 13.70%, see rank | 8.95% | 11.12% |
| 2 Bedrooms | 264, 28.48%, see rank | 25.64% | 26.85% |
| 3 Bedrooms | 401, 43.26%, see rank | 49.04% | 39.76% |
| 4 Bedrooms | 79, 8.52%, see rank | 12.95% | 15.95% |
| 5 or More Bedrooms | 35, 3.78%, see rank | 1.89% | 4.16% |
ACS 2006-2010 data
| | Clayton Public Schools | Oklahoma | U.S. |
| Total Housing Units | 930, 100% | 1,644,228 | 130,038,080 |
| No Bedroom | 19, 2.04%, see rank | 1.21% | 1.84% |
| 1 Bedroom | 150, 16.13%, see rank | 9.17% | 11.32% |
| 2 Bedrooms | 306, 32.90%, see rank | 26.47% | 27.20% |
| 3 Bedrooms | 361, 38.82%, see rank | 48.89% | 39.80% |
| 4 Bedrooms | 75, 8.06%, see rank | 12.45% | 15.80% |
| 5 or More Bedrooms | 19, 2.04%, see rank | 1.82% | 4.04% |
ACS 2005-2009 data
| | Clayton Public Schools | Oklahoma | U.S. |
| Total Housing Units | 911, 100% | 1,624,039 | 127,699,712 |
| No Bedroom | 6, 0.66%, see rank | 1.10% | 1.66% |
| 1 Bedroom | 143, 15.70%, see rank | 9.46% | 11.48% |
| 2 Bedrooms | 306, 33.59%, see rank | 26.95% | 27.48% |
| 3 Bedrooms | 368, 40.40%, see rank | 48.61% | 39.79% |
| 4 Bedrooms | 78, 8.56%, see rank | 12.08% | 15.64% |
| 5 or More Bedrooms | 10, 1.10%, 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.
