Charleston R-I School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Charleston R-I School District | Missouri | U.S. |
Total Housing Units | 3,271, 100% | 2,723,417 | 132,741,033 |
No Bedroom | 52, 1.59%, see rank | 1.52% | 2.17% |
1 Bedroom | 247, 7.55%, see rank | 9.59% | 11.16% |
2 Bedrooms | 1,156, 35.34%, see rank | 27.72% | 26.69% |
3 Bedrooms | 1,450, 44.33%, see rank | 42.00% | 39.70% |
4 Bedrooms | 325, 9.94%, see rank | 15.22% | 16.05% |
5 or More Bedrooms | 41, 1.25%, see rank | 3.94% | 4.22% |
ACS 2008-2012 data
| Charleston R-I School District | Missouri | U.S. |
Total Housing Units | 3,391, 100% | 2,710,506 | 131,642,457 |
No Bedroom | 81, 2.39%, see rank | 1.50% | 2.16% |
1 Bedroom | 264, 7.79%, see rank | 9.61% | 11.12% |
2 Bedrooms | 1,249, 36.83%, see rank | 27.89% | 26.85% |
3 Bedrooms | 1,487, 43.85%, see rank | 41.94% | 39.76% |
4 Bedrooms | 299, 8.82%, see rank | 15.14% | 15.95% |
5 or More Bedrooms | 11, 0.32%, see rank | 3.90% | 4.16% |
ACS 2006-2010 data
| Charleston R-I School District | Missouri | U.S. |
Total Housing Units | 3,520, 100% | 2,687,610 | 130,038,080 |
No Bedroom | 83, 2.36%, see rank | 1.22% | 1.84% |
1 Bedroom | 275, 7.81%, see rank | 9.88% | 11.32% |
2 Bedrooms | 1,447, 41.11%, see rank | 28.17% | 27.20% |
3 Bedrooms | 1,359, 38.61%, see rank | 41.84% | 39.80% |
4 Bedrooms | 320, 9.09%, see rank | 15.10% | 15.80% |
5 or More Bedrooms | 36, 1.02%, see rank | 3.80% | 4.04% |
ACS 2005-2009 data
| Charleston R-I School District | Missouri | U.S. |
Total Housing Units | 3,554, 100% | 2,648,248 | 127,699,712 |
No Bedroom | 49, 1.38%, see rank | 1.08% | 1.66% |
1 Bedroom | 284, 7.99%, see rank | 9.92% | 11.48% |
2 Bedrooms | 1,457, 41.00%, see rank | 28.54% | 27.48% |
3 Bedrooms | 1,354, 38.10%, see rank | 41.88% | 39.79% |
4 Bedrooms | 353, 9.93%, see rank | 14.90% | 15.64% |
5 or More Bedrooms | 57, 1.60%, see rank | 3.69% | 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.