96774 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| | 96774 Zip Code | Hawaii | U.S. |
| Total Housing Units | 140, 100% | 524,852 | 132,741,033 |
| 1 Room | 0, 0.00%, see rank | 4.28% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 8.34% | 2.48% |
| 3 Rooms | 8, 5.71%, see rank | 14.75% | 9.13% |
| 4 Rooms | 16, 11.43%, see rank | 20.44% | 16.60% |
| 5 Rooms | 55, 39.29%, see rank | 20.62% | 20.41% |
| 6 Rooms | 37, 26.43%, see rank | 13.34% | 18.06% |
| 7 Rooms | 16, 11.43%, see rank | 8.15% | 12.27% |
| 8 Rooms | 0, 0.00%, see rank | 4.72% | 8.48% |
| 9 Rooms or More | 8, 5.71%, see rank | 5.37% | 10.60% |
| Median Rooms | 5.30, see rank | 4.60 | 5.50 |
ACS 2008-2012 data
| | 96774 Zip Code | Hawaii | U.S. |
| Total Housing Units | 146, 100% | 519,811 | 131,642,457 |
| 1 Room | 0, 0.00%, see rank | 4.57% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 8.12% | 2.36% |
| 3 Rooms | 0, 0.00%, see rank | 14.64% | 8.97% |
| 4 Rooms | 14, 9.59%, see rank | 20.27% | 16.57% |
| 5 Rooms | 76, 52.05%, see rank | 20.13% | 20.41% |
| 6 Rooms | 56, 38.36%, see rank | 13.68% | 18.25% |
| 7 Rooms | 0, 0.00%, see rank | 8.32% | 12.38% |
| 8 Rooms | 0, 0.00%, see rank | 4.85% | 8.59% |
| 9 Rooms or More | 0, 0.00%, see rank | 5.43% | 10.52% |
| Median Rooms | 5.30, see rank | 4.60 | 5.50 |
US Census 2000 data
| | 96774 Zip Code | Hawaii | U.S. |
| Total Housing Units | 46, 100% | 460,542 | 115,904,641 |
| 1 Room | 0, 0.00%, see rank | 7.28% | 2.20% |
| 2 Rooms | 0, 0.00%, see rank | 12.27% | 4.81% |
| 3 Rooms | 9, 19.57%, see rank | 17.55% | 9.84% |
| 4 Rooms | 15, 32.61%, see rank | 16.29% | 15.97% |
| 5 Rooms | 14, 30.43%, see rank | 17.86% | 20.89% |
| 6 Rooms | 8, 17.39%, see rank | 13.12% | 18.45% |
| 7 Rooms | 0, 0.00%, see rank | 7.62% | 12.06% |
| 8 Rooms | 0, 0.00%, see rank | 4.07% | 8.06% |
| 9 Rooms or More | 0, 0.00%, see rank | 3.95% | 7.70% |
| Median Rooms | 4.40, see rank | 4.30 | 5.30 |
* 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.
