Randolph County School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Randolph County School District | Georgia | U.S. |
Total Housing Units | 3,791, 100% | 4,114,496 | 132,741,033 |
No Bedroom | 94, 2.48%, see rank | 1.26% | 2.17% |
1 Bedroom | 254, 6.70%, see rank | 7.39% | 11.16% |
2 Bedrooms | 895, 23.61%, see rank | 23.13% | 26.69% |
3 Bedrooms | 1,788, 47.16%, see rank | 43.93% | 39.70% |
4 Bedrooms | 693, 18.28%, see rank | 18.08% | 16.05% |
5 or More Bedrooms | 67, 1.77%, see rank | 6.22% | 4.22% |
ACS 2008-2012 data
| Randolph County School District | Georgia | U.S. |
Total Housing Units | 3,933, 100% | 4,086,231 | 131,642,457 |
No Bedroom | 42, 1.07%, see rank | 1.24% | 2.16% |
1 Bedroom | 146, 3.71%, see rank | 7.42% | 11.12% |
2 Bedrooms | 754, 19.17%, see rank | 23.32% | 26.85% |
3 Bedrooms | 2,202, 55.99%, see rank | 44.08% | 39.76% |
4 Bedrooms | 668, 16.98%, see rank | 17.90% | 15.95% |
5 or More Bedrooms | 121, 3.08%, see rank | 6.03% | 4.16% |
ACS 2006-2010 data
| Randolph County School District | Georgia | U.S. |
Total Housing Units | 4,014, 100% | 4,020,736 | 130,038,080 |
No Bedroom | 47, 1.17%, see rank | 0.96% | 1.84% |
1 Bedroom | 140, 3.49%, see rank | 7.70% | 11.32% |
2 Bedrooms | 827, 20.60%, see rank | 23.81% | 27.20% |
3 Bedrooms | 2,332, 58.10%, see rank | 44.22% | 39.80% |
4 Bedrooms | 584, 14.55%, see rank | 17.59% | 15.80% |
5 or More Bedrooms | 84, 2.09%, see rank | 5.72% | 4.04% |
ACS 2005-2009 data
| Randolph County School District | Georgia | U.S. |
Total Housing Units | 3,427, 100% | 3,944,621 | 127,699,712 |
No Bedroom | 0, 0.00%, see rank | 0.80% | 1.66% |
1 Bedroom | 159, 4.64%, see rank | 7.73% | 11.48% |
2 Bedrooms | 666, 19.43%, see rank | 24.35% | 27.48% |
3 Bedrooms | 2,118, 61.80%, see rank | 44.28% | 39.79% |
4 Bedrooms | 423, 12.34%, see rank | 17.44% | 15.64% |
5 or More Bedrooms | 61, 1.78%, see rank | 5.41% | 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.