Canton Area School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Canton Area School District | Pennsylvania | U.S. |
Total Housing Units | 3,179, 100% | 5,578,393 | 132,741,033 |
No Bedroom | 129, 4.06%, see rank | 1.91% | 2.17% |
1 Bedroom | 237, 7.46%, see rank | 10.50% | 11.16% |
2 Bedrooms | 663, 20.86%, see rank | 23.23% | 26.69% |
3 Bedrooms | 1,444, 45.42%, see rank | 43.09% | 39.70% |
4 Bedrooms | 452, 14.22%, see rank | 17.04% | 16.05% |
5 or More Bedrooms | 254, 7.99%, see rank | 4.22% | 4.22% |
ACS 2008-2012 data
| Canton Area School District | Pennsylvania | U.S. |
Total Housing Units | 3,202, 100% | 5,563,832 | 131,642,457 |
No Bedroom | 137, 4.28%, see rank | 1.86% | 2.16% |
1 Bedroom | 255, 7.96%, see rank | 10.53% | 11.12% |
2 Bedrooms | 714, 22.30%, see rank | 23.38% | 26.85% |
3 Bedrooms | 1,366, 42.66%, see rank | 42.98% | 39.76% |
4 Bedrooms | 486, 15.18%, see rank | 17.02% | 15.95% |
5 or More Bedrooms | 244, 7.62%, see rank | 4.22% | 4.16% |
ACS 2006-2010 data
| Canton Area School District | Pennsylvania | U.S. |
Total Housing Units | 3,090, 100% | 5,537,308 | 130,038,080 |
No Bedroom | 70, 2.27%, see rank | 1.52% | 1.84% |
1 Bedroom | 259, 8.38%, see rank | 10.61% | 11.32% |
2 Bedrooms | 776, 25.11%, see rank | 23.65% | 27.20% |
3 Bedrooms | 1,299, 42.04%, see rank | 43.20% | 39.80% |
4 Bedrooms | 509, 16.47%, see rank | 16.84% | 15.80% |
5 or More Bedrooms | 177, 5.73%, see rank | 4.18% | 4.04% |
ACS 2005-2009 data
| Canton Area School District | Pennsylvania | U.S. |
Total Housing Units | 3,085, 100% | 5,481,676 | 127,699,712 |
No Bedroom | 91, 2.95%, see rank | 1.31% | 1.66% |
1 Bedroom | 245, 7.94%, see rank | 10.62% | 11.48% |
2 Bedrooms | 814, 26.39%, see rank | 23.89% | 27.48% |
3 Bedrooms | 1,242, 40.26%, see rank | 43.32% | 39.79% |
4 Bedrooms | 523, 16.95%, see rank | 16.72% | 15.64% |
5 or More Bedrooms | 170, 5.51%, see rank | 4.13% | 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.