Gainesville R-V School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Gainesville R-V School District | Missouri | U.S. |
Total Housing Units | 2,336, 100% | 2,723,417 | 132,741,033 |
No Bedroom | 49, 2.10%, see rank | 1.52% | 2.17% |
1 Bedroom | 169, 7.23%, see rank | 9.59% | 11.16% |
2 Bedrooms | 673, 28.81%, see rank | 27.72% | 26.69% |
3 Bedrooms | 1,113, 47.65%, see rank | 42.00% | 39.70% |
4 Bedrooms | 297, 12.71%, see rank | 15.22% | 16.05% |
5 or More Bedrooms | 35, 1.50%, see rank | 3.94% | 4.22% |
ACS 2008-2012 data
| Gainesville R-V School District | Missouri | U.S. |
Total Housing Units | 2,439, 100% | 2,710,506 | 131,642,457 |
No Bedroom | 11, 0.45%, see rank | 1.50% | 2.16% |
1 Bedroom | 160, 6.56%, see rank | 9.61% | 11.12% |
2 Bedrooms | 785, 32.19%, see rank | 27.89% | 26.85% |
3 Bedrooms | 1,134, 46.49%, see rank | 41.94% | 39.76% |
4 Bedrooms | 346, 14.19%, see rank | 15.14% | 15.95% |
5 or More Bedrooms | 3, 0.12%, see rank | 3.90% | 4.16% |
ACS 2006-2010 data
| Gainesville R-V School District | Missouri | U.S. |
Total Housing Units | 2,559, 100% | 2,687,610 | 130,038,080 |
No Bedroom | 11, 0.43%, see rank | 1.22% | 1.84% |
1 Bedroom | 174, 6.80%, see rank | 9.88% | 11.32% |
2 Bedrooms | 842, 32.90%, see rank | 28.17% | 27.20% |
3 Bedrooms | 1,260, 49.24%, see rank | 41.84% | 39.80% |
4 Bedrooms | 249, 9.73%, see rank | 15.10% | 15.80% |
5 or More Bedrooms | 23, 0.90%, see rank | 3.80% | 4.04% |
ACS 2005-2009 data
| Gainesville R-V School District | Missouri | U.S. |
Total Housing Units | 2,540, 100% | 2,648,248 | 127,699,712 |
No Bedroom | 9, 0.35%, see rank | 1.08% | 1.66% |
1 Bedroom | 147, 5.79%, see rank | 9.92% | 11.48% |
2 Bedrooms | 920, 36.22%, see rank | 28.54% | 27.48% |
3 Bedrooms | 1,217, 47.91%, see rank | 41.88% | 39.79% |
4 Bedrooms | 220, 8.66%, see rank | 14.90% | 15.64% |
5 or More Bedrooms | 27, 1.06%, 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.