Florence School District 4 Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Florence School District 4 | South Carolina | U.S. |
Total Housing Units | 2,718, 100% | 2,160,383 | 132,741,033 |
No Bedroom | 40, 1.47%, see rank | 1.46% | 2.17% |
1 Bedroom | 113, 4.16%, see rank | 5.67% | 11.16% |
2 Bedrooms | 545, 20.05%, see rank | 25.61% | 26.69% |
3 Bedrooms | 1,498, 55.11%, see rank | 48.91% | 39.70% |
4 Bedrooms | 452, 16.63%, see rank | 14.98% | 16.05% |
5 or More Bedrooms | 70, 2.58%, see rank | 3.36% | 4.22% |
ACS 2008-2012 data
| Florence School District 4 | South Carolina | U.S. |
Total Housing Units | 2,938, 100% | 2,134,456 | 131,642,457 |
No Bedroom | 57, 1.94%, see rank | 1.82% | 2.16% |
1 Bedroom | 142, 4.83%, see rank | 5.56% | 11.12% |
2 Bedrooms | 642, 21.85%, see rank | 25.75% | 26.85% |
3 Bedrooms | 1,664, 56.64%, see rank | 49.01% | 39.76% |
4 Bedrooms | 401, 13.65%, see rank | 14.72% | 15.95% |
5 or More Bedrooms | 32, 1.09%, see rank | 3.15% | 4.16% |
ACS 2006-2010 data
| Florence School District 4 | South Carolina | U.S. |
Total Housing Units | 3,009, 100% | 2,088,161 | 130,038,080 |
No Bedroom | 6, 0.20%, see rank | 1.40% | 1.84% |
1 Bedroom | 106, 3.52%, see rank | 5.65% | 11.32% |
2 Bedrooms | 752, 24.99%, see rank | 26.50% | 27.20% |
3 Bedrooms | 1,791, 59.52%, see rank | 49.19% | 39.80% |
4 Bedrooms | 318, 10.57%, see rank | 14.31% | 15.80% |
5 or More Bedrooms | 36, 1.20%, see rank | 2.95% | 4.04% |
ACS 2005-2009 data
| Florence School District 4 | South Carolina | U.S. |
Total Housing Units | 3,033, 100% | 2,020,422 | 127,699,712 |
No Bedroom | 5, 0.16%, see rank | 1.07% | 1.66% |
1 Bedroom | 144, 4.75%, see rank | 5.73% | 11.48% |
2 Bedrooms | 712, 23.48%, see rank | 27.12% | 27.48% |
3 Bedrooms | 1,844, 60.80%, see rank | 49.27% | 39.79% |
4 Bedrooms | 289, 9.53%, see rank | 14.01% | 15.64% |
5 or More Bedrooms | 39, 1.29%, 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.