Pullman Micro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Pullman Area | Washington | U.S. |
| Total Housing Units | 19,548, 100% | 2,921,364 | 132,741,033 |
| No Bedroom | 444, 2.27%, see rank | 2.68% | 2.17% |
| 1 Bedroom | 2,705, 13.84%, see rank | 11.98% | 11.16% |
| 2 Bedrooms | 6,019, 30.79%, see rank | 26.31% | 26.69% |
| 3 Bedrooms | 5,797, 29.66%, see rank | 37.85% | 39.70% |
| 4 Bedrooms | 3,460, 17.70%, see rank | 16.58% | 16.05% |
| 5 or More Bedrooms | 1,123, 5.74%, see rank | 4.60% | 4.22% |
ACS 2008-2012 data
| | Pullman Area | Washington | U.S. |
| Total Housing Units | 19,308, 100% | 2,884,186 | 131,642,457 |
| No Bedroom | 323, 1.67%, see rank | 2.53% | 2.16% |
| 1 Bedroom | 3,061, 15.85%, see rank | 12.06% | 11.12% |
| 2 Bedrooms | 6,070, 31.44%, see rank | 26.61% | 26.85% |
| 3 Bedrooms | 5,839, 30.24%, see rank | 37.66% | 39.76% |
| 4 Bedrooms | 3,017, 15.63%, see rank | 16.59% | 15.95% |
| 5 or More Bedrooms | 998, 5.17%, see rank | 4.56% | 4.16% |
ACS 2006-2010 data
| | Pullman Area | Washington | U.S. |
| Total Housing Units | 19,025, 100% | 2,829,352 | 130,038,080 |
| No Bedroom | 163, 0.86%, see rank | 2.33% | 1.84% |
| 1 Bedroom | 3,158, 16.60%, see rank | 12.16% | 11.32% |
| 2 Bedrooms | 6,289, 33.06%, see rank | 27.00% | 27.20% |
| 3 Bedrooms | 5,683, 29.87%, see rank | 37.70% | 39.80% |
| 4 Bedrooms | 2,848, 14.97%, see rank | 16.47% | 15.80% |
| 5 or More Bedrooms | 884, 4.65%, see rank | 4.34% | 4.04% |
ACS 2005-2009 data
| | Pullman Area | Washington | U.S. |
| Total Housing Units | 18,364, 100% | 2,745,170 | 127,699,712 |
| No Bedroom | 146, 0.80%, see rank | 2.16% | 1.66% |
| 1 Bedroom | 2,968, 16.16%, see rank | 12.29% | 11.48% |
| 2 Bedrooms | 6,349, 34.57%, see rank | 27.14% | 27.48% |
| 3 Bedrooms | 5,360, 29.19%, see rank | 37.73% | 39.79% |
| 4 Bedrooms | 2,676, 14.57%, see rank | 16.42% | 15.64% |
| 5 or More Bedrooms | 865, 4.71%, see rank | 4.25% | 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.
