North Gibson School Corporation Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| North Gibson School Corporation | Indiana | U.S. |
Total Housing Units | 6,462, 100% | 2,811,617 | 132,741,033 |
No Bedroom | 144, 2.23%, see rank | 1.38% | 2.17% |
1 Bedroom | 536, 8.29%, see rank | 9.26% | 11.16% |
2 Bedrooms | 2,204, 34.11%, see rank | 26.57% | 26.69% |
3 Bedrooms | 2,778, 42.99%, see rank | 44.05% | 39.70% |
4 Bedrooms | 675, 10.45%, see rank | 15.33% | 16.05% |
5 or More Bedrooms | 125, 1.93%, see rank | 3.40% | 4.22% |
ACS 2008-2012 data
| North Gibson School Corporation | Indiana | U.S. |
Total Housing Units | 6,348, 100% | 2,797,237 | 131,642,457 |
No Bedroom | 79, 1.24%, see rank | 1.29% | 2.16% |
1 Bedroom | 429, 6.76%, see rank | 9.16% | 11.12% |
2 Bedrooms | 2,317, 36.50%, see rank | 26.81% | 26.85% |
3 Bedrooms | 2,764, 43.54%, see rank | 44.04% | 39.76% |
4 Bedrooms | 624, 9.83%, see rank | 15.35% | 15.95% |
5 or More Bedrooms | 135, 2.13%, see rank | 3.36% | 4.16% |
ACS 2006-2010 data
| North Gibson School Corporation | Indiana | U.S. |
Total Housing Units | 6,679, 100% | 2,778,459 | 130,038,080 |
No Bedroom | 55, 0.82%, see rank | 0.98% | 1.84% |
1 Bedroom | 550, 8.23%, see rank | 9.40% | 11.32% |
2 Bedrooms | 2,214, 33.15%, see rank | 27.14% | 27.20% |
3 Bedrooms | 3,013, 45.11%, see rank | 44.10% | 39.80% |
4 Bedrooms | 660, 9.88%, see rank | 15.12% | 15.80% |
5 or More Bedrooms | 187, 2.80%, see rank | 3.25% | 4.04% |
ACS 2005-2009 data
| North Gibson School Corporation | Indiana | U.S. |
Total Housing Units | 7,091, 100% | 2,775,849 | 127,699,712 |
No Bedroom | 0, 0.00%, see rank | 0.88% | 1.66% |
1 Bedroom | 640, 9.03%, see rank | 9.62% | 11.48% |
2 Bedrooms | 2,324, 32.77%, see rank | 27.62% | 27.48% |
3 Bedrooms | 3,259, 45.96%, see rank | 43.76% | 39.79% |
4 Bedrooms | 716, 10.10%, see rank | 14.95% | 15.64% |
5 or More Bedrooms | 152, 2.14%, 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.