Dillon School District 3 Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Dillon School District 3 | South Carolina | U.S. |
Total Housing Units | 3,238, 100% | 2,160,383 | 132,741,033 |
No Bedroom | 35, 1.08%, see rank | 1.46% | 2.17% |
1 Bedroom | 107, 3.30%, see rank | 5.67% | 11.16% |
2 Bedrooms | 856, 26.44%, see rank | 25.61% | 26.69% |
3 Bedrooms | 1,721, 53.15%, see rank | 48.91% | 39.70% |
4 Bedrooms | 387, 11.95%, see rank | 14.98% | 16.05% |
5 or More Bedrooms | 132, 4.08%, see rank | 3.36% | 4.22% |
ACS 2008-2012 data
| Dillon School District 3 | South Carolina | U.S. |
Total Housing Units | 3,362, 100% | 2,134,456 | 131,642,457 |
No Bedroom | 19, 0.57%, see rank | 1.82% | 2.16% |
1 Bedroom | 124, 3.69%, see rank | 5.56% | 11.12% |
2 Bedrooms | 1,163, 34.59%, see rank | 25.75% | 26.85% |
3 Bedrooms | 1,626, 48.36%, see rank | 49.01% | 39.76% |
4 Bedrooms | 320, 9.52%, see rank | 14.72% | 15.95% |
5 or More Bedrooms | 110, 3.27%, see rank | 3.15% | 4.16% |
ACS 2006-2010 data
| Dillon School District 3 | South Carolina | U.S. |
Total Housing Units | 3,457, 100% | 2,088,161 | 130,038,080 |
No Bedroom | 32, 0.93%, see rank | 1.40% | 1.84% |
1 Bedroom | 217, 6.28%, see rank | 5.65% | 11.32% |
2 Bedrooms | 1,135, 32.83%, see rank | 26.50% | 27.20% |
3 Bedrooms | 1,526, 44.14%, see rank | 49.19% | 39.80% |
4 Bedrooms | 492, 14.23%, see rank | 14.31% | 15.80% |
5 or More Bedrooms | 55, 1.59%, see rank | 2.95% | 4.04% |
ACS 2005-2009 data
| Dillon School District 3 | South Carolina | U.S. |
Total Housing Units | 3,249, 100% | 2,020,422 | 127,699,712 |
No Bedroom | 24, 0.74%, see rank | 1.07% | 1.66% |
1 Bedroom | 191, 5.88%, see rank | 5.73% | 11.48% |
2 Bedrooms | 1,036, 31.89%, see rank | 27.12% | 27.48% |
3 Bedrooms | 1,597, 49.15%, see rank | 49.27% | 39.79% |
4 Bedrooms | 375, 11.54%, see rank | 14.01% | 15.64% |
5 or More Bedrooms | 26, 0.80%, 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.