Kapaa Micro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| | Kapaa Area | Hawaii | U.S. |
| Total Housing Units | 30,112, 100% | 524,852 | 132,741,033 |
| No Bedroom | 992, 3.29%, see rank | 4.69% | 2.17% |
| 1 Bedroom | 3,465, 11.51%, see rank | 14.19% | 11.16% |
| 2 Bedrooms | 7,533, 25.02%, see rank | 26.31% | 26.69% |
| 3 Bedrooms | 13,210, 43.87%, see rank | 35.33% | 39.70% |
| 4 Bedrooms | 3,857, 12.81%, see rank | 13.49% | 16.05% |
| 5 or More Bedrooms | 1,055, 3.50%, see rank | 6.00% | 4.22% |
ACS 2008-2012 data
| | Kapaa Area | Hawaii | U.S. |
| Total Housing Units | 29,726, 100% | 519,811 | 131,642,457 |
| No Bedroom | 1,230, 4.14%, see rank | 5.01% | 2.16% |
| 1 Bedroom | 3,404, 11.45%, see rank | 14.14% | 11.12% |
| 2 Bedrooms | 7,769, 26.14%, see rank | 26.31% | 26.85% |
| 3 Bedrooms | 12,613, 42.43%, see rank | 35.13% | 39.76% |
| 4 Bedrooms | 3,443, 11.58%, see rank | 13.44% | 15.95% |
| 5 or More Bedrooms | 1,267, 4.26%, see rank | 5.97% | 4.16% |
ACS 2006-2010 data
| | Kapaa Area | Hawaii | U.S. |
| Total Housing Units | 29,040, 100% | 512,157 | 130,038,080 |
| No Bedroom | 1,214, 4.18%, see rank | 4.90% | 1.84% |
| 1 Bedroom | 3,478, 11.98%, see rank | 14.24% | 11.32% |
| 2 Bedrooms | 7,478, 25.75%, see rank | 26.70% | 27.20% |
| 3 Bedrooms | 12,408, 42.73%, see rank | 34.94% | 39.80% |
| 4 Bedrooms | 3,114, 10.72%, see rank | 13.31% | 15.80% |
| 5 or More Bedrooms | 1,348, 4.64%, see rank | 5.91% | 4.04% |
ACS 2005-2009 data
| | Kapaa Area | Hawaii | U.S. |
| Total Housing Units | 28,933, 100% | 505,087 | 127,699,712 |
| No Bedroom | 990, 3.42%, see rank | 4.93% | 1.66% |
| 1 Bedroom | 3,349, 11.58%, see rank | 14.56% | 11.48% |
| 2 Bedrooms | 7,400, 25.58%, see rank | 27.06% | 27.48% |
| 3 Bedrooms | 12,916, 44.64%, see rank | 34.58% | 39.79% |
| 4 Bedrooms | 2,898, 10.02%, see rank | 13.09% | 15.64% |
| 5 or More Bedrooms | 1,380, 4.77%, see rank | 5.78% | 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.
