Russell County School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Russell County School District | Kentucky | U.S. |
Total Housing Units | 9,965, 100% | 1,938,836 | 132,741,033 |
No Bedroom | 382, 3.83%, see rank | 1.42% | 2.17% |
1 Bedroom | 657, 6.59%, see rank | 8.44% | 11.16% |
2 Bedrooms | 3,231, 32.42%, see rank | 27.38% | 26.69% |
3 Bedrooms | 4,472, 44.88%, see rank | 44.95% | 39.70% |
4 Bedrooms | 967, 9.70%, see rank | 14.32% | 16.05% |
5 or More Bedrooms | 256, 2.57%, see rank | 3.49% | 4.22% |
ACS 2008-2012 data
| Russell County School District | Kentucky | U.S. |
Total Housing Units | 9,947, 100% | 1,927,916 | 131,642,457 |
No Bedroom | 246, 2.47%, see rank | 1.35% | 2.16% |
1 Bedroom | 604, 6.07%, see rank | 8.36% | 11.12% |
2 Bedrooms | 3,372, 33.90%, see rank | 27.62% | 26.85% |
3 Bedrooms | 4,665, 46.90%, see rank | 45.04% | 39.76% |
4 Bedrooms | 881, 8.86%, see rank | 14.22% | 15.95% |
5 or More Bedrooms | 179, 1.80%, see rank | 3.41% | 4.16% |
ACS 2006-2010 data
| Russell County School District | Kentucky | U.S. |
Total Housing Units | 9,854, 100% | 1,911,822 | 130,038,080 |
No Bedroom | 124, 1.26%, see rank | 1.08% | 1.84% |
1 Bedroom | 397, 4.03%, see rank | 8.48% | 11.32% |
2 Bedrooms | 3,439, 34.90%, see rank | 27.90% | 27.20% |
3 Bedrooms | 4,871, 49.43%, see rank | 45.18% | 39.80% |
4 Bedrooms | 916, 9.30%, see rank | 14.07% | 15.80% |
5 or More Bedrooms | 107, 1.09%, see rank | 3.29% | 4.04% |
ACS 2005-2009 data
| Russell County School District | Kentucky | U.S. |
Total Housing Units | 9,346, 100% | 1,907,671 | 127,699,712 |
No Bedroom | 69, 0.74%, see rank | 0.89% | 1.66% |
1 Bedroom | 421, 4.50%, see rank | 8.63% | 11.48% |
2 Bedrooms | 3,329, 35.62%, see rank | 28.17% | 27.48% |
3 Bedrooms | 4,558, 48.77%, see rank | 45.20% | 39.79% |
4 Bedrooms | 860, 9.20%, see rank | 13.85% | 15.64% |
5 or More Bedrooms | 109, 1.17%, 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.