Clinton Micro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Clinton Area | Iowa | U.S. |
| Total Housing Units | 21,762, 100% | 1,348,151 | 132,741,033 |
| No Bedroom | 323, 1.48%, see rank | 1.33% | 2.17% |
| 1 Bedroom | 2,249, 10.33%, see rank | 9.36% | 11.16% |
| 2 Bedrooms | 5,808, 26.69%, see rank | 28.37% | 26.69% |
| 3 Bedrooms | 8,739, 40.16%, see rank | 38.82% | 39.70% |
| 4 Bedrooms | 3,847, 17.68%, see rank | 17.31% | 16.05% |
| 5 or More Bedrooms | 796, 3.66%, see rank | 4.82% | 4.22% |
ACS 2008-2012 data
| | Clinton Area | Iowa | U.S. |
| Total Housing Units | 21,753, 100% | 1,337,410 | 131,642,457 |
| No Bedroom | 350, 1.61%, see rank | 1.32% | 2.16% |
| 1 Bedroom | 2,296, 10.55%, see rank | 9.25% | 11.12% |
| 2 Bedrooms | 5,835, 26.82%, see rank | 28.85% | 26.85% |
| 3 Bedrooms | 8,600, 39.53%, see rank | 38.86% | 39.76% |
| 4 Bedrooms | 3,729, 17.14%, see rank | 17.04% | 15.95% |
| 5 or More Bedrooms | 943, 4.34%, see rank | 4.67% | 4.16% |
ACS 2006-2010 data
| | Clinton Area | Iowa | U.S. |
| Total Housing Units | 21,828, 100% | 1,327,302 | 130,038,080 |
| No Bedroom | 345, 1.58%, see rank | 1.09% | 1.84% |
| 1 Bedroom | 2,484, 11.38%, see rank | 9.49% | 11.32% |
| 2 Bedrooms | 5,705, 26.14%, see rank | 28.87% | 27.20% |
| 3 Bedrooms | 8,558, 39.21%, see rank | 39.02% | 39.80% |
| 4 Bedrooms | 3,822, 17.51%, see rank | 16.94% | 15.80% |
| 5 or More Bedrooms | 914, 4.19%, see rank | 4.59% | 4.04% |
ACS 2005-2009 data
| | Clinton Area | Iowa | U.S. |
| Total Housing Units | 22,282, 100% | 1,326,723 | 127,699,712 |
| No Bedroom | 314, 1.41%, see rank | 0.98% | 1.66% |
| 1 Bedroom | 2,604, 11.69%, see rank | 9.64% | 11.48% |
| 2 Bedrooms | 6,027, 27.05%, see rank | 29.17% | 27.48% |
| 3 Bedrooms | 8,649, 38.82%, see rank | 38.83% | 39.79% |
| 4 Bedrooms | 3,815, 17.12%, see rank | 16.93% | 15.64% |
| 5 or More Bedrooms | 873, 3.92%, see rank | 4.45% | 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.
