Bowling Green Metro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Bowling Green Area | Kentucky | U.S. |
Total Housing Units | 70,168, 100% | 1,938,836 | 132,741,033 |
No Bedroom | 670, 0.95%, see rank | 1.42% | 2.17% |
1 Bedroom | 5,918, 8.43%, see rank | 8.44% | 11.16% |
2 Bedrooms | 17,527, 24.98%, see rank | 27.38% | 26.69% |
3 Bedrooms | 33,471, 47.70%, see rank | 44.95% | 39.70% |
4 Bedrooms | 10,252, 14.61%, see rank | 14.32% | 16.05% |
5 or More Bedrooms | 2,330, 3.32%, see rank | 3.49% | 4.22% |
ACS 2008-2012 data
| Bowling Green Area | Kentucky | U.S. |
Total Housing Units | 53,859, 100% | 1,927,916 | 131,642,457 |
No Bedroom | 635, 1.18%, see rank | 1.35% | 2.16% |
1 Bedroom | 5,531, 10.27%, see rank | 8.36% | 11.12% |
2 Bedrooms | 13,172, 24.46%, see rank | 27.62% | 26.85% |
3 Bedrooms | 25,452, 47.26%, see rank | 45.04% | 39.76% |
4 Bedrooms | 7,486, 13.90%, see rank | 14.22% | 15.95% |
5 or More Bedrooms | 1,583, 2.94%, see rank | 3.41% | 4.16% |
ACS 2006-2010 data
| Bowling Green Area | Kentucky | U.S. |
Total Housing Units | 52,653, 100% | 1,911,822 | 130,038,080 |
No Bedroom | 495, 0.94%, see rank | 1.08% | 1.84% |
1 Bedroom | 5,480, 10.41%, see rank | 8.48% | 11.32% |
2 Bedrooms | 12,726, 24.17%, see rank | 27.90% | 27.20% |
3 Bedrooms | 25,080, 47.63%, see rank | 45.18% | 39.80% |
4 Bedrooms | 7,350, 13.96%, see rank | 14.07% | 15.80% |
5 or More Bedrooms | 1,522, 2.89%, see rank | 3.29% | 4.04% |
ACS 2005-2009 data
| Bowling Green Area | Kentucky | U.S. |
Total Housing Units | 51,375, 100% | 1,907,671 | 127,699,712 |
No Bedroom | 383, 0.75%, see rank | 0.89% | 1.66% |
1 Bedroom | 5,704, 11.10%, see rank | 8.63% | 11.48% |
2 Bedrooms | 12,568, 24.46%, see rank | 28.17% | 27.48% |
3 Bedrooms | 24,028, 46.77%, see rank | 45.20% | 39.79% |
4 Bedrooms | 7,294, 14.20%, see rank | 13.85% | 15.64% |
5 or More Bedrooms | 1,398, 2.72%, 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.