Deer Creek-Lamont Schools Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Deer Creek-Lamont Schools | Oklahoma | U.S. |
| Total Housing Units | 495, 100% | 1,680,457 | 132,741,033 |
| No Bedroom | 0, 0.00%, see rank | 1.54% | 2.17% |
| 1 Bedroom | 9, 1.82%, see rank | 8.89% | 11.16% |
| 2 Bedrooms | 173, 34.95%, see rank | 25.38% | 26.69% |
| 3 Bedrooms | 254, 51.31%, see rank | 49.01% | 39.70% |
| 4 Bedrooms | 49, 9.90%, see rank | 13.23% | 16.05% |
| 5 or More Bedrooms | 10, 2.02%, see rank | 1.94% | 4.22% |
ACS 2008-2012 data
| | Deer Creek-Lamont Schools | Oklahoma | U.S. |
| Total Housing Units | 528, 100% | 1,664,404 | 131,642,457 |
| No Bedroom | 0, 0.00%, see rank | 1.53% | 2.16% |
| 1 Bedroom | 5, 0.95%, see rank | 8.95% | 11.12% |
| 2 Bedrooms | 200, 37.88%, see rank | 25.64% | 26.85% |
| 3 Bedrooms | 244, 46.21%, see rank | 49.04% | 39.76% |
| 4 Bedrooms | 68, 12.88%, see rank | 12.95% | 15.95% |
| 5 or More Bedrooms | 11, 2.08%, see rank | 1.89% | 4.16% |
ACS 2006-2010 data
| | Deer Creek-Lamont Schools | Oklahoma | U.S. |
| Total Housing Units | 503, 100% | 1,644,228 | 130,038,080 |
| No Bedroom | 0, 0.00%, see rank | 1.21% | 1.84% |
| 1 Bedroom | 3, 0.60%, see rank | 9.17% | 11.32% |
| 2 Bedrooms | 160, 31.81%, see rank | 26.47% | 27.20% |
| 3 Bedrooms | 278, 55.27%, see rank | 48.89% | 39.80% |
| 4 Bedrooms | 36, 7.16%, see rank | 12.45% | 15.80% |
| 5 or More Bedrooms | 26, 5.17%, see rank | 1.82% | 4.04% |
ACS 2005-2009 data
| | Deer Creek-Lamont Schools | Oklahoma | U.S. |
| Total Housing Units | 529, 100% | 1,624,039 | 127,699,712 |
| No Bedroom | 0, 0.00%, see rank | 1.10% | 1.66% |
| 1 Bedroom | 5, 0.95%, see rank | 9.46% | 11.48% |
| 2 Bedrooms | 194, 36.67%, see rank | 26.95% | 27.48% |
| 3 Bedrooms | 266, 50.28%, see rank | 48.61% | 39.79% |
| 4 Bedrooms | 44, 8.32%, see rank | 12.08% | 15.64% |
| 5 or More Bedrooms | 20, 3.78%, 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.
