Randolph Central School Corporation Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Randolph Central School Corporation | Indiana | U.S. |
Total Housing Units | 4,263, 100% | 2,811,617 | 132,741,033 |
No Bedroom | 27, 0.63%, see rank | 1.38% | 2.17% |
1 Bedroom | 322, 7.55%, see rank | 9.26% | 11.16% |
2 Bedrooms | 1,500, 35.19%, see rank | 26.57% | 26.69% |
3 Bedrooms | 1,603, 37.60%, see rank | 44.05% | 39.70% |
4 Bedrooms | 583, 13.68%, see rank | 15.33% | 16.05% |
5 or More Bedrooms | 228, 5.35%, see rank | 3.40% | 4.22% |
ACS 2008-2012 data
| Randolph Central School Corporation | Indiana | U.S. |
Total Housing Units | 4,307, 100% | 2,797,237 | 131,642,457 |
No Bedroom | 21, 0.49%, see rank | 1.29% | 2.16% |
1 Bedroom | 366, 8.50%, see rank | 9.16% | 11.12% |
2 Bedrooms | 1,536, 35.66%, see rank | 26.81% | 26.85% |
3 Bedrooms | 1,683, 39.08%, see rank | 44.04% | 39.76% |
4 Bedrooms | 506, 11.75%, see rank | 15.35% | 15.95% |
5 or More Bedrooms | 195, 4.53%, see rank | 3.36% | 4.16% |
ACS 2006-2010 data
| Randolph Central School Corporation | Indiana | U.S. |
Total Housing Units | 4,458, 100% | 2,778,459 | 130,038,080 |
No Bedroom | 17, 0.38%, see rank | 0.98% | 1.84% |
1 Bedroom | 341, 7.65%, see rank | 9.40% | 11.32% |
2 Bedrooms | 1,387, 31.11%, see rank | 27.14% | 27.20% |
3 Bedrooms | 1,885, 42.28%, see rank | 44.10% | 39.80% |
4 Bedrooms | 581, 13.03%, see rank | 15.12% | 15.80% |
5 or More Bedrooms | 247, 5.54%, see rank | 3.25% | 4.04% |
ACS 2005-2009 data
| Randolph Central School Corporation | Indiana | U.S. |
Total Housing Units | 4,483, 100% | 2,775,849 | 127,699,712 |
No Bedroom | 19, 0.42%, see rank | 0.88% | 1.66% |
1 Bedroom | 325, 7.25%, see rank | 9.62% | 11.48% |
2 Bedrooms | 1,312, 29.27%, see rank | 27.62% | 27.48% |
3 Bedrooms | 2,008, 44.79%, see rank | 43.76% | 39.79% |
4 Bedrooms | 603, 13.45%, see rank | 14.95% | 15.64% |
5 or More Bedrooms | 216, 4.82%, 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.