Trimble County School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Trimble County School District | Kentucky | U.S. |
Total Housing Units | 3,917, 100% | 1,938,836 | 132,741,033 |
No Bedroom | 22, 0.56%, see rank | 1.42% | 2.17% |
1 Bedroom | 268, 6.84%, see rank | 8.44% | 11.16% |
2 Bedrooms | 1,099, 28.06%, see rank | 27.38% | 26.69% |
3 Bedrooms | 2,059, 52.57%, see rank | 44.95% | 39.70% |
4 Bedrooms | 344, 8.78%, see rank | 14.32% | 16.05% |
5 or More Bedrooms | 125, 3.19%, see rank | 3.49% | 4.22% |
ACS 2008-2012 data
| Trimble County School District | Kentucky | U.S. |
Total Housing Units | 3,912, 100% | 1,927,916 | 131,642,457 |
No Bedroom | 21, 0.54%, see rank | 1.35% | 2.16% |
1 Bedroom | 211, 5.39%, see rank | 8.36% | 11.12% |
2 Bedrooms | 1,074, 27.45%, see rank | 27.62% | 26.85% |
3 Bedrooms | 2,107, 53.86%, see rank | 45.04% | 39.76% |
4 Bedrooms | 418, 10.69%, see rank | 14.22% | 15.95% |
5 or More Bedrooms | 81, 2.07%, see rank | 3.41% | 4.16% |
ACS 2006-2010 data
| Trimble County School District | Kentucky | U.S. |
Total Housing Units | 3,875, 100% | 1,911,822 | 130,038,080 |
No Bedroom | 0, 0.00%, see rank | 1.08% | 1.84% |
1 Bedroom | 230, 5.94%, see rank | 8.48% | 11.32% |
2 Bedrooms | 1,153, 29.75%, see rank | 27.90% | 27.20% |
3 Bedrooms | 2,030, 52.39%, see rank | 45.18% | 39.80% |
4 Bedrooms | 397, 10.25%, see rank | 14.07% | 15.80% |
5 or More Bedrooms | 65, 1.68%, see rank | 3.29% | 4.04% |
ACS 2005-2009 data
| Trimble County School District | Kentucky | U.S. |
Total Housing Units | 3,623, 100% | 1,907,671 | 127,699,712 |
No Bedroom | 0, 0.00%, see rank | 0.89% | 1.66% |
1 Bedroom | 221, 6.10%, see rank | 8.63% | 11.48% |
2 Bedrooms | 924, 25.50%, see rank | 28.17% | 27.48% |
3 Bedrooms | 2,035, 56.17%, see rank | 45.20% | 39.79% |
4 Bedrooms | 397, 10.96%, see rank | 13.85% | 15.64% |
5 or More Bedrooms | 46, 1.27%, 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.