Orangeburg Micro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Orangeburg Area | South Carolina | U.S. |
Total Housing Units | 42,340, 100% | 2,160,383 | 132,741,033 |
No Bedroom | 355, 0.84%, see rank | 1.46% | 2.17% |
1 Bedroom | 1,453, 3.43%, see rank | 5.67% | 11.16% |
2 Bedrooms | 10,465, 24.72%, see rank | 25.61% | 26.69% |
3 Bedrooms | 23,252, 54.92%, see rank | 48.91% | 39.70% |
4 Bedrooms | 5,593, 13.21%, see rank | 14.98% | 16.05% |
5 or More Bedrooms | 1,222, 2.89%, see rank | 3.36% | 4.22% |
ACS 2008-2012 data
| Orangeburg Area | South Carolina | U.S. |
Total Housing Units | 42,386, 100% | 2,134,456 | 131,642,457 |
No Bedroom | 370, 0.87%, see rank | 1.82% | 2.16% |
1 Bedroom | 1,672, 3.94%, see rank | 5.56% | 11.12% |
2 Bedrooms | 10,741, 25.34%, see rank | 25.75% | 26.85% |
3 Bedrooms | 22,966, 54.18%, see rank | 49.01% | 39.76% |
4 Bedrooms | 5,160, 12.17%, see rank | 14.72% | 15.95% |
5 or More Bedrooms | 1,477, 3.48%, see rank | 3.15% | 4.16% |
ACS 2006-2010 data
| Orangeburg Area | South Carolina | U.S. |
Total Housing Units | 42,171, 100% | 2,088,161 | 130,038,080 |
No Bedroom | 299, 0.71%, see rank | 1.40% | 1.84% |
1 Bedroom | 1,761, 4.18%, see rank | 5.65% | 11.32% |
2 Bedrooms | 10,834, 25.69%, see rank | 26.50% | 27.20% |
3 Bedrooms | 22,629, 53.66%, see rank | 49.19% | 39.80% |
4 Bedrooms | 5,273, 12.50%, see rank | 14.31% | 15.80% |
5 or More Bedrooms | 1,375, 3.26%, see rank | 2.95% | 4.04% |
ACS 2005-2009 data
| Orangeburg Area | South Carolina | U.S. |
Total Housing Units | 41,498, 100% | 2,020,422 | 127,699,712 |
No Bedroom | 179, 0.43%, see rank | 1.07% | 1.66% |
1 Bedroom | 1,953, 4.71%, see rank | 5.73% | 11.48% |
2 Bedrooms | 10,580, 25.50%, see rank | 27.12% | 27.48% |
3 Bedrooms | 21,844, 52.64%, see rank | 49.27% | 39.79% |
4 Bedrooms | 5,631, 13.57%, see rank | 14.01% | 15.64% |
5 or More Bedrooms | 1,311, 3.16%, see rank | 2.80% | 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.