North Putnam Community Schools Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| North Putnam Community Schools | Indiana | U.S. |
Total Housing Units | 4,520, 100% | 2,811,617 | 132,741,033 |
No Bedroom | 42, 0.93%, see rank | 1.38% | 2.17% |
1 Bedroom | 265, 5.86%, see rank | 9.26% | 11.16% |
2 Bedrooms | 1,007, 22.28%, see rank | 26.57% | 26.69% |
3 Bedrooms | 2,467, 54.58%, see rank | 44.05% | 39.70% |
4 Bedrooms | 581, 12.85%, see rank | 15.33% | 16.05% |
5 or More Bedrooms | 158, 3.50%, see rank | 3.40% | 4.22% |
ACS 2008-2012 data
| North Putnam Community Schools | Indiana | U.S. |
Total Housing Units | 4,572, 100% | 2,797,237 | 131,642,457 |
No Bedroom | 36, 0.79%, see rank | 1.29% | 2.16% |
1 Bedroom | 213, 4.66%, see rank | 9.16% | 11.12% |
2 Bedrooms | 1,107, 24.21%, see rank | 26.81% | 26.85% |
3 Bedrooms | 2,537, 55.49%, see rank | 44.04% | 39.76% |
4 Bedrooms | 537, 11.75%, see rank | 15.35% | 15.95% |
5 or More Bedrooms | 142, 3.11%, see rank | 3.36% | 4.16% |
ACS 2006-2010 data
| North Putnam Community Schools | Indiana | U.S. |
Total Housing Units | 4,514, 100% | 2,778,459 | 130,038,080 |
No Bedroom | 8, 0.18%, see rank | 0.98% | 1.84% |
1 Bedroom | 188, 4.16%, see rank | 9.40% | 11.32% |
2 Bedrooms | 1,272, 28.18%, see rank | 27.14% | 27.20% |
3 Bedrooms | 2,399, 53.15%, see rank | 44.10% | 39.80% |
4 Bedrooms | 536, 11.87%, see rank | 15.12% | 15.80% |
5 or More Bedrooms | 111, 2.46%, see rank | 3.25% | 4.04% |
ACS 2005-2009 data
| North Putnam Community Schools | Indiana | U.S. |
Total Housing Units | 4,134, 100% | 2,775,849 | 127,699,712 |
No Bedroom | 0, 0.00%, see rank | 0.88% | 1.66% |
1 Bedroom | 168, 4.06%, see rank | 9.62% | 11.48% |
2 Bedrooms | 1,243, 30.07%, see rank | 27.62% | 27.48% |
3 Bedrooms | 2,002, 48.43%, see rank | 43.76% | 39.79% |
4 Bedrooms | 594, 14.37%, see rank | 14.95% | 15.64% |
5 or More Bedrooms | 127, 3.07%, see rank | 3.17% | 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.