96766 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 96766 Zip Code | Hawaii | U.S. |
Total Housing Units | 5,401, 100% | 524,852 | 132,741,033 |
1 Room | 113, 2.09%, see rank | 4.28% | 1.95% |
2 Rooms | 350, 6.48%, see rank | 8.34% | 2.48% |
3 Rooms | 527, 9.76%, see rank | 14.75% | 9.13% |
4 Rooms | 1,301, 24.09%, see rank | 20.44% | 16.60% |
5 Rooms | 1,436, 26.59%, see rank | 20.62% | 20.41% |
6 Rooms | 754, 13.96%, see rank | 13.34% | 18.06% |
7 Rooms | 464, 8.59%, see rank | 8.15% | 12.27% |
8 Rooms | 182, 3.37%, see rank | 4.72% | 8.48% |
9 Rooms or More | 274, 5.07%, see rank | 5.37% | 10.60% |
Median Rooms | 4.80, see rank | 4.60 | 5.50 |
ACS 2008-2012 data
| 96766 Zip Code | Hawaii | U.S. |
Total Housing Units | 5,433, 100% | 519,811 | 131,642,457 |
1 Room | 142, 2.61%, see rank | 4.57% | 1.95% |
2 Rooms | 441, 8.12%, see rank | 8.12% | 2.36% |
3 Rooms | 665, 12.24%, see rank | 14.64% | 8.97% |
4 Rooms | 1,192, 21.94%, see rank | 20.27% | 16.57% |
5 Rooms | 1,308, 24.08%, see rank | 20.13% | 20.41% |
6 Rooms | 807, 14.85%, see rank | 13.68% | 18.25% |
7 Rooms | 342, 6.29%, see rank | 8.32% | 12.38% |
8 Rooms | 196, 3.61%, see rank | 4.85% | 8.59% |
9 Rooms or More | 340, 6.26%, see rank | 5.43% | 10.52% |
Median Rooms | 4.70, see rank | 4.60 | 5.50 |
US Census 2000 data
| 96766 Zip Code | Hawaii | U.S. |
Total Housing Units | 4,501, 100% | 460,542 | 115,904,641 |
1 Room | 118, 2.62%, see rank | 7.28% | 2.20% |
2 Rooms | 351, 7.80%, see rank | 12.27% | 4.81% |
3 Rooms | 1,020, 22.66%, see rank | 17.55% | 9.84% |
4 Rooms | 718, 15.95%, see rank | 16.29% | 15.97% |
5 Rooms | 929, 20.64%, see rank | 17.86% | 20.89% |
6 Rooms | 591, 13.13%, see rank | 13.12% | 18.45% |
7 Rooms | 410, 9.11%, see rank | 7.62% | 12.06% |
8 Rooms | 181, 4.02%, see rank | 4.07% | 8.06% |
9 Rooms or More | 183, 4.07%, see rank | 3.95% | 7.70% |
Median Rooms | 4.50, 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.