Tuscarora School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Tuscarora School District | Pennsylvania | U.S. |
Total Housing Units | 7,452, 100% | 5,578,393 | 132,741,033 |
No Bedroom | 71, 0.95%, see rank | 1.91% | 2.17% |
1 Bedroom | 365, 4.90%, see rank | 10.50% | 11.16% |
2 Bedrooms | 1,500, 20.13%, see rank | 23.23% | 26.69% |
3 Bedrooms | 3,769, 50.58%, see rank | 43.09% | 39.70% |
4 Bedrooms | 1,408, 18.89%, see rank | 17.04% | 16.05% |
5 or More Bedrooms | 339, 4.55%, see rank | 4.22% | 4.22% |
ACS 2008-2012 data
| Tuscarora School District | Pennsylvania | U.S. |
Total Housing Units | 7,621, 100% | 5,563,832 | 131,642,457 |
No Bedroom | 60, 0.79%, see rank | 1.86% | 2.16% |
1 Bedroom | 332, 4.36%, see rank | 10.53% | 11.12% |
2 Bedrooms | 1,666, 21.86%, see rank | 23.38% | 26.85% |
3 Bedrooms | 3,653, 47.93%, see rank | 42.98% | 39.76% |
4 Bedrooms | 1,457, 19.12%, see rank | 17.02% | 15.95% |
5 or More Bedrooms | 453, 5.94%, see rank | 4.22% | 4.16% |
ACS 2006-2010 data
| Tuscarora School District | Pennsylvania | U.S. |
Total Housing Units | 7,563, 100% | 5,537,308 | 130,038,080 |
No Bedroom | 8, 0.11%, see rank | 1.52% | 1.84% |
1 Bedroom | 310, 4.10%, see rank | 10.61% | 11.32% |
2 Bedrooms | 1,613, 21.33%, see rank | 23.65% | 27.20% |
3 Bedrooms | 3,858, 51.01%, see rank | 43.20% | 39.80% |
4 Bedrooms | 1,275, 16.86%, see rank | 16.84% | 15.80% |
5 or More Bedrooms | 499, 6.60%, see rank | 4.18% | 4.04% |
ACS 2005-2009 data
| Tuscarora School District | Pennsylvania | U.S. |
Total Housing Units | 8,106, 100% | 5,481,676 | 127,699,712 |
No Bedroom | 21, 0.26%, see rank | 1.31% | 1.66% |
1 Bedroom | 296, 3.65%, see rank | 10.62% | 11.48% |
2 Bedrooms | 1,817, 22.42%, see rank | 23.89% | 27.48% |
3 Bedrooms | 4,136, 51.02%, see rank | 43.32% | 39.79% |
4 Bedrooms | 1,403, 17.31%, see rank | 16.72% | 15.64% |
5 or More Bedrooms | 433, 5.34%, 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.