Deer Lakes School District Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Deer Lakes School District | Pennsylvania | U.S. |
Total Housing Units | 6,418, 100% | 5,578,393 | 132,741,033 |
No Bedroom | 7, 0.11%, see rank | 1.91% | 2.17% |
1 Bedroom | 360, 5.61%, see rank | 10.50% | 11.16% |
2 Bedrooms | 1,635, 25.48%, see rank | 23.23% | 26.69% |
3 Bedrooms | 3,252, 50.67%, see rank | 43.09% | 39.70% |
4 Bedrooms | 1,035, 16.13%, see rank | 17.04% | 16.05% |
5 or More Bedrooms | 129, 2.01%, see rank | 4.22% | 4.22% |
ACS 2008-2012 data
| Deer Lakes School District | Pennsylvania | U.S. |
Total Housing Units | 6,302, 100% | 5,563,832 | 131,642,457 |
No Bedroom | 26, 0.41%, see rank | 1.86% | 2.16% |
1 Bedroom | 290, 4.60%, see rank | 10.53% | 11.12% |
2 Bedrooms | 1,736, 27.55%, see rank | 23.38% | 26.85% |
3 Bedrooms | 3,271, 51.90%, see rank | 42.98% | 39.76% |
4 Bedrooms | 851, 13.50%, see rank | 17.02% | 15.95% |
5 or More Bedrooms | 128, 2.03%, see rank | 4.22% | 4.16% |
ACS 2006-2010 data
| Deer Lakes School District | Pennsylvania | U.S. |
Total Housing Units | 6,045, 100% | 5,537,308 | 130,038,080 |
No Bedroom | 24, 0.40%, see rank | 1.52% | 1.84% |
1 Bedroom | 246, 4.07%, see rank | 10.61% | 11.32% |
2 Bedrooms | 1,650, 27.30%, see rank | 23.65% | 27.20% |
3 Bedrooms | 3,328, 55.05%, see rank | 43.20% | 39.80% |
4 Bedrooms | 712, 11.78%, see rank | 16.84% | 15.80% |
5 or More Bedrooms | 85, 1.41%, see rank | 4.18% | 4.04% |
ACS 2005-2009 data
| Deer Lakes School District | Pennsylvania | U.S. |
Total Housing Units | 6,352, 100% | 5,481,676 | 127,699,712 |
No Bedroom | 17, 0.27%, see rank | 1.31% | 1.66% |
1 Bedroom | 358, 5.64%, see rank | 10.62% | 11.48% |
2 Bedrooms | 1,667, 26.24%, see rank | 23.89% | 27.48% |
3 Bedrooms | 3,478, 54.75%, see rank | 43.32% | 39.79% |
4 Bedrooms | 769, 12.11%, see rank | 16.72% | 15.64% |
5 or More Bedrooms | 63, 0.99%, 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.