Butler County School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Butler County School District | Kentucky | U.S. |
Total Housing Units | 5,880, 100% | 1,938,836 | 132,741,033 |
No Bedroom | 72, 1.22%, see rank | 1.42% | 2.17% |
1 Bedroom | 282, 4.80%, see rank | 8.44% | 11.16% |
2 Bedrooms | 1,625, 27.64%, see rank | 27.38% | 26.69% |
3 Bedrooms | 3,108, 52.86%, see rank | 44.95% | 39.70% |
4 Bedrooms | 563, 9.57%, see rank | 14.32% | 16.05% |
5 or More Bedrooms | 230, 3.91%, see rank | 3.49% | 4.22% |
ACS 2008-2012 data
| Butler County School District | Kentucky | U.S. |
Total Housing Units | 5,884, 100% | 1,927,916 | 131,642,457 |
No Bedroom | 66, 1.12%, see rank | 1.35% | 2.16% |
1 Bedroom | 311, 5.29%, see rank | 8.36% | 11.12% |
2 Bedrooms | 1,548, 26.31%, see rank | 27.62% | 26.85% |
3 Bedrooms | 3,182, 54.08%, see rank | 45.04% | 39.76% |
4 Bedrooms | 572, 9.72%, see rank | 14.22% | 15.95% |
5 or More Bedrooms | 205, 3.48%, see rank | 3.41% | 4.16% |
ACS 2006-2010 data
| Butler County School District | Kentucky | U.S. |
Total Housing Units | 5,906, 100% | 1,911,822 | 130,038,080 |
No Bedroom | 76, 1.29%, see rank | 1.08% | 1.84% |
1 Bedroom | 322, 5.45%, see rank | 8.48% | 11.32% |
2 Bedrooms | 1,349, 22.84%, see rank | 27.90% | 27.20% |
3 Bedrooms | 3,383, 57.28%, see rank | 45.18% | 39.80% |
4 Bedrooms | 567, 9.60%, see rank | 14.07% | 15.80% |
5 or More Bedrooms | 209, 3.54%, see rank | 3.29% | 4.04% |
ACS 2005-2009 data
| Butler County School District | Kentucky | U.S. |
Total Housing Units | 6,114, 100% | 1,907,671 | 127,699,712 |
No Bedroom | 114, 1.86%, see rank | 0.89% | 1.66% |
1 Bedroom | 311, 5.09%, see rank | 8.63% | 11.48% |
2 Bedrooms | 1,499, 24.52%, see rank | 28.17% | 27.48% |
3 Bedrooms | 3,344, 54.69%, see rank | 45.20% | 39.79% |
4 Bedrooms | 578, 9.45%, see rank | 13.85% | 15.64% |
5 or More Bedrooms | 268, 4.38%, see rank | 3.25% | 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.