Paw Paw Public School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Paw Paw Public School District | Michigan | U.S. |
Total Housing Units | 5,658, 100% | 4,532,719 | 132,741,033 |
No Bedroom | 54, 0.95%, see rank | 1.35% | 2.17% |
1 Bedroom | 409, 7.23%, see rank | 9.11% | 11.16% |
2 Bedrooms | 1,168, 20.64%, see rank | 26.33% | 26.69% |
3 Bedrooms | 2,879, 50.88%, see rank | 43.93% | 39.70% |
4 Bedrooms | 857, 15.15%, see rank | 15.80% | 16.05% |
5 or More Bedrooms | 291, 5.14%, see rank | 3.47% | 4.22% |
ACS 2008-2012 data
| Paw Paw Public School District | Michigan | U.S. |
Total Housing Units | 5,817, 100% | 4,531,958 | 131,642,457 |
No Bedroom | 65, 1.12%, see rank | 1.34% | 2.16% |
1 Bedroom | 489, 8.41%, see rank | 8.96% | 11.12% |
2 Bedrooms | 1,167, 20.06%, see rank | 26.52% | 26.85% |
3 Bedrooms | 2,795, 48.05%, see rank | 44.01% | 39.76% |
4 Bedrooms | 961, 16.52%, see rank | 15.71% | 15.95% |
5 or More Bedrooms | 340, 5.84%, see rank | 3.45% | 4.16% |
ACS 2006-2010 data
| Paw Paw Public School District | Michigan | U.S. |
Total Housing Units | 5,952, 100% | 4,529,680 | 130,038,080 |
No Bedroom | 78, 1.31%, see rank | 1.08% | 1.84% |
1 Bedroom | 543, 9.12%, see rank | 9.15% | 11.32% |
2 Bedrooms | 1,281, 21.52%, see rank | 26.74% | 27.20% |
3 Bedrooms | 2,691, 45.21%, see rank | 43.97% | 39.80% |
4 Bedrooms | 974, 16.36%, see rank | 15.71% | 15.80% |
5 or More Bedrooms | 385, 6.47%, see rank | 3.36% | 4.04% |
ACS 2005-2009 data
| Paw Paw Public School District | Michigan | U.S. |
Total Housing Units | 5,728, 100% | 4,522,600 | 127,699,712 |
No Bedroom | 38, 0.66%, see rank | 0.97% | 1.66% |
1 Bedroom | 511, 8.92%, see rank | 9.19% | 11.48% |
2 Bedrooms | 1,257, 21.94%, see rank | 26.84% | 27.48% |
3 Bedrooms | 2,726, 47.59%, see rank | 44.02% | 39.79% |
4 Bedrooms | 872, 15.22%, see rank | 15.64% | 15.64% |
5 or More Bedrooms | 324, 5.66%, see rank | 3.33% | 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.