Tuscumbia City School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Tuscumbia City School District | Alabama | U.S. |
Total Housing Units | 4,148, 100% | 2,190,638 | 132,741,033 |
No Bedroom | 69, 1.66%, see rank | 1.21% | 2.17% |
1 Bedroom | 407, 9.81%, see rank | 6.20% | 11.16% |
2 Bedrooms | 1,249, 30.11%, see rank | 23.92% | 26.69% |
3 Bedrooms | 1,818, 43.83%, see rank | 49.95% | 39.70% |
4 Bedrooms | 517, 12.46%, see rank | 15.40% | 16.05% |
5 or More Bedrooms | 88, 2.12%, see rank | 3.33% | 4.22% |
ACS 2008-2012 data
| Tuscumbia City School District | Alabama | U.S. |
Total Housing Units | 4,039, 100% | 2,172,647 | 131,642,457 |
No Bedroom | 70, 1.73%, see rank | 1.13% | 2.16% |
1 Bedroom | 373, 9.23%, see rank | 6.24% | 11.12% |
2 Bedrooms | 1,047, 25.92%, see rank | 24.11% | 26.85% |
3 Bedrooms | 1,915, 47.41%, see rank | 50.35% | 39.76% |
4 Bedrooms | 538, 13.32%, see rank | 15.04% | 15.95% |
5 or More Bedrooms | 96, 2.38%, see rank | 3.13% | 4.16% |
ACS 2006-2010 data
| Tuscumbia City School District | Alabama | U.S. |
Total Housing Units | 4,133, 100% | 2,146,513 | 130,038,080 |
No Bedroom | 69, 1.67%, see rank | 0.77% | 1.84% |
1 Bedroom | 374, 9.05%, see rank | 6.45% | 11.32% |
2 Bedrooms | 1,030, 24.92%, see rank | 24.90% | 27.20% |
3 Bedrooms | 1,907, 46.14%, see rank | 50.32% | 39.80% |
4 Bedrooms | 626, 15.15%, see rank | 14.53% | 15.80% |
5 or More Bedrooms | 127, 3.07%, see rank | 3.04% | 4.04% |
ACS 2005-2009 data
| Tuscumbia City School District | Alabama | U.S. |
Total Housing Units | 4,399, 100% | 2,139,970 | 127,699,712 |
No Bedroom | 36, 0.82%, see rank | 0.63% | 1.66% |
1 Bedroom | 348, 7.91%, see rank | 6.71% | 11.48% |
2 Bedrooms | 1,134, 25.78%, see rank | 25.76% | 27.48% |
3 Bedrooms | 2,113, 48.03%, see rank | 49.79% | 39.79% |
4 Bedrooms | 632, 14.37%, see rank | 14.22% | 15.64% |
5 or More Bedrooms | 136, 3.09%, see rank | 2.89% | 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.