Woodward Micro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Woodward Area | Oklahoma | U.S. |
| Total Housing Units | 8,867, 100% | 1,680,457 | 132,741,033 |
| No Bedroom | 300, 3.38%, see rank | 1.54% | 2.17% |
| 1 Bedroom | 555, 6.26%, see rank | 8.89% | 11.16% |
| 2 Bedrooms | 2,238, 25.24%, see rank | 25.38% | 26.69% |
| 3 Bedrooms | 4,507, 50.83%, see rank | 49.01% | 39.70% |
| 4 Bedrooms | 1,144, 12.90%, see rank | 13.23% | 16.05% |
| 5 or More Bedrooms | 123, 1.39%, see rank | 1.94% | 4.22% |
ACS 2008-2012 data
| | Woodward Area | Oklahoma | U.S. |
| Total Housing Units | 8,827, 100% | 1,664,404 | 131,642,457 |
| No Bedroom | 280, 3.17%, see rank | 1.53% | 2.16% |
| 1 Bedroom | 454, 5.14%, see rank | 8.95% | 11.12% |
| 2 Bedrooms | 2,397, 27.16%, see rank | 25.64% | 26.85% |
| 3 Bedrooms | 4,461, 50.54%, see rank | 49.04% | 39.76% |
| 4 Bedrooms | 1,069, 12.11%, see rank | 12.95% | 15.95% |
| 5 or More Bedrooms | 166, 1.88%, see rank | 1.89% | 4.16% |
ACS 2006-2010 data
| | Woodward Area | Oklahoma | U.S. |
| Total Housing Units | 8,760, 100% | 1,644,228 | 130,038,080 |
| No Bedroom | 63, 0.72%, see rank | 1.21% | 1.84% |
| 1 Bedroom | 484, 5.53%, see rank | 9.17% | 11.32% |
| 2 Bedrooms | 2,500, 28.54%, see rank | 26.47% | 27.20% |
| 3 Bedrooms | 4,469, 51.02%, see rank | 48.89% | 39.80% |
| 4 Bedrooms | 1,111, 12.68%, see rank | 12.45% | 15.80% |
| 5 or More Bedrooms | 133, 1.52%, see rank | 1.82% | 4.04% |
ACS 2005-2009 data
| | Woodward Area | Oklahoma | U.S. |
| Total Housing Units | 8,515, 100% | 1,624,039 | 127,699,712 |
| No Bedroom | 54, 0.63%, see rank | 1.10% | 1.66% |
| 1 Bedroom | 552, 6.48%, see rank | 9.46% | 11.48% |
| 2 Bedrooms | 2,464, 28.94%, see rank | 26.95% | 27.48% |
| 3 Bedrooms | 4,364, 51.25%, see rank | 48.61% | 39.79% |
| 4 Bedrooms | 954, 11.20%, see rank | 12.08% | 15.64% |
| 5 or More Bedrooms | 127, 1.49%, 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.
