Casey County School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Casey County School District | Kentucky | U.S. |
Total Housing Units | 7,443, 100% | 1,938,836 | 132,741,033 |
No Bedroom | 27, 0.36%, see rank | 1.42% | 2.17% |
1 Bedroom | 306, 4.11%, see rank | 8.44% | 11.16% |
2 Bedrooms | 2,424, 32.57%, see rank | 27.38% | 26.69% |
3 Bedrooms | 3,523, 47.33%, see rank | 44.95% | 39.70% |
4 Bedrooms | 975, 13.10%, see rank | 14.32% | 16.05% |
5 or More Bedrooms | 188, 2.53%, see rank | 3.49% | 4.22% |
ACS 2008-2012 data
| Casey County School District | Kentucky | U.S. |
Total Housing Units | 7,483, 100% | 1,927,916 | 131,642,457 |
No Bedroom | 14, 0.19%, see rank | 1.35% | 2.16% |
1 Bedroom | 238, 3.18%, see rank | 8.36% | 11.12% |
2 Bedrooms | 2,230, 29.80%, see rank | 27.62% | 26.85% |
3 Bedrooms | 3,814, 50.97%, see rank | 45.04% | 39.76% |
4 Bedrooms | 984, 13.15%, see rank | 14.22% | 15.95% |
5 or More Bedrooms | 203, 2.71%, see rank | 3.41% | 4.16% |
ACS 2006-2010 data
| Casey County School District | Kentucky | U.S. |
Total Housing Units | 7,507, 100% | 1,911,822 | 130,038,080 |
No Bedroom | 34, 0.45%, see rank | 1.08% | 1.84% |
1 Bedroom | 227, 3.02%, see rank | 8.48% | 11.32% |
2 Bedrooms | 2,096, 27.92%, see rank | 27.90% | 27.20% |
3 Bedrooms | 4,046, 53.90%, see rank | 45.18% | 39.80% |
4 Bedrooms | 832, 11.08%, see rank | 14.07% | 15.80% |
5 or More Bedrooms | 272, 3.62%, see rank | 3.29% | 4.04% |
ACS 2005-2009 data
| Casey County School District | Kentucky | U.S. |
Total Housing Units | 7,610, 100% | 1,907,671 | 127,699,712 |
No Bedroom | 33, 0.43%, see rank | 0.89% | 1.66% |
1 Bedroom | 226, 2.97%, see rank | 8.63% | 11.48% |
2 Bedrooms | 1,945, 25.56%, see rank | 28.17% | 27.48% |
3 Bedrooms | 4,285, 56.31%, see rank | 45.20% | 39.79% |
4 Bedrooms | 820, 10.78%, see rank | 13.85% | 15.64% |
5 or More Bedrooms | 301, 3.96%, 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.