Licking Heights Local School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Licking Heights Local School District | Ohio | U.S. |
Total Housing Units | 8,740, 100% | 5,135,173 | 132,741,033 |
No Bedroom | 8, 0.09%, see rank | 1.39% | 2.17% |
1 Bedroom | 540, 6.18%, see rank | 9.42% | 11.16% |
2 Bedrooms | 1,453, 16.62%, see rank | 26.51% | 26.69% |
3 Bedrooms | 4,706, 53.84%, see rank | 42.46% | 39.70% |
4 Bedrooms | 1,869, 21.38%, see rank | 17.04% | 16.05% |
5 or More Bedrooms | 164, 1.88%, see rank | 3.18% | 4.22% |
ACS 2008-2012 data
| Licking Heights Local School District | Ohio | U.S. |
Total Housing Units | 8,794, 100% | 5,124,503 | 131,642,457 |
No Bedroom | 7, 0.08%, see rank | 1.37% | 2.16% |
1 Bedroom | 577, 6.56%, see rank | 9.35% | 11.12% |
2 Bedrooms | 1,553, 17.66%, see rank | 26.51% | 26.85% |
3 Bedrooms | 4,786, 54.42%, see rank | 42.49% | 39.76% |
4 Bedrooms | 1,776, 20.20%, see rank | 17.10% | 15.95% |
5 or More Bedrooms | 95, 1.08%, see rank | 3.18% | 4.16% |
ACS 2006-2010 data
| Licking Heights Local School District | Ohio | U.S. |
Total Housing Units | 8,145, 100% | 5,107,273 | 130,038,080 |
No Bedroom | 14, 0.17%, see rank | 1.10% | 1.84% |
1 Bedroom | 436, 5.35%, see rank | 9.57% | 11.32% |
2 Bedrooms | 1,592, 19.55%, see rank | 26.62% | 27.20% |
3 Bedrooms | 4,520, 55.49%, see rank | 42.62% | 39.80% |
4 Bedrooms | 1,487, 18.26%, see rank | 16.94% | 15.80% |
5 or More Bedrooms | 96, 1.18%, see rank | 3.15% | 4.04% |
ACS 2005-2009 data
| Licking Heights Local School District | Ohio | U.S. |
Total Housing Units | 7,358, 100% | 5,064,437 | 127,699,712 |
No Bedroom | 16, 0.22%, see rank | 0.95% | 1.66% |
1 Bedroom | 535, 7.27%, see rank | 9.71% | 11.48% |
2 Bedrooms | 1,511, 20.54%, see rank | 26.73% | 27.48% |
3 Bedrooms | 4,001, 54.38%, see rank | 42.80% | 39.79% |
4 Bedrooms | 1,197, 16.27%, see rank | 16.73% | 15.64% |
5 or More Bedrooms | 98, 1.33%, see rank | 3.09% | 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.