Myrtle Point School District 41 Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Myrtle Point School District 41 | Oregon | U.S. |
Total Housing Units | 2,418, 100% | 1,685,814 | 132,741,033 |
No Bedroom | 25, 1.03%, see rank | 2.52% | 2.17% |
1 Bedroom | 236, 9.76%, see rank | 10.17% | 11.16% |
2 Bedrooms | 855, 35.36%, see rank | 28.12% | 26.69% |
3 Bedrooms | 1,057, 43.71%, see rank | 41.99% | 39.70% |
4 Bedrooms | 169, 6.99%, see rank | 13.78% | 16.05% |
5 or More Bedrooms | 76, 3.14%, see rank | 3.42% | 4.22% |
ACS 2008-2012 data
| Myrtle Point School District 41 | Oregon | U.S. |
Total Housing Units | 2,321, 100% | 1,673,593 | 131,642,457 |
No Bedroom | 38, 1.64%, see rank | 2.44% | 2.16% |
1 Bedroom | 205, 8.83%, see rank | 10.32% | 11.12% |
2 Bedrooms | 788, 33.95%, see rank | 28.10% | 26.85% |
3 Bedrooms | 967, 41.66%, see rank | 42.08% | 39.76% |
4 Bedrooms | 236, 10.17%, see rank | 13.74% | 15.95% |
5 or More Bedrooms | 87, 3.75%, see rank | 3.31% | 4.16% |
ACS 2006-2010 data
| Myrtle Point School District 41 | Oregon | U.S. |
Total Housing Units | 2,441, 100% | 1,651,063 | 130,038,080 |
No Bedroom | 58, 2.38%, see rank | 2.26% | 1.84% |
1 Bedroom | 263, 10.77%, see rank | 10.49% | 11.32% |
2 Bedrooms | 696, 28.51%, see rank | 28.60% | 27.20% |
3 Bedrooms | 1,024, 41.95%, see rank | 41.85% | 39.80% |
4 Bedrooms | 276, 11.31%, see rank | 13.55% | 15.80% |
5 or More Bedrooms | 124, 5.08%, see rank | 3.25% | 4.04% |
ACS 2005-2009 data
| Myrtle Point School District 41 | Oregon | U.S. |
Total Housing Units | 2,379, 100% | 1,607,411 | 127,699,712 |
No Bedroom | 57, 2.40%, see rank | 2.13% | 1.66% |
1 Bedroom | 327, 13.75%, see rank | 10.53% | 11.48% |
2 Bedrooms | 475, 19.97%, see rank | 28.89% | 27.48% |
3 Bedrooms | 1,040, 43.72%, see rank | 41.79% | 39.79% |
4 Bedrooms | 345, 14.50%, see rank | 13.44% | 15.64% |
5 or More Bedrooms | 135, 5.67%, see rank | 3.23% | 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.