96778 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 96778 Zip Code | Hawaii | U.S. |
Total Housing Units | 6,811, 100% | 524,852 | 132,741,033 |
1 Room | 366, 5.37%, see rank | 4.28% | 1.95% |
2 Rooms | 354, 5.20%, see rank | 8.34% | 2.48% |
3 Rooms | 796, 11.69%, see rank | 14.75% | 9.13% |
4 Rooms | 1,596, 23.43%, see rank | 20.44% | 16.60% |
5 Rooms | 2,027, 29.76%, see rank | 20.62% | 20.41% |
6 Rooms | 826, 12.13%, see rank | 13.34% | 18.06% |
7 Rooms | 484, 7.11%, see rank | 8.15% | 12.27% |
8 Rooms | 225, 3.30%, see rank | 4.72% | 8.48% |
9 Rooms or More | 137, 2.01%, see rank | 5.37% | 10.60% |
Median Rooms | 4.60, see rank | 4.60 | 5.50 |
ACS 2008-2012 data
| 96778 Zip Code | Hawaii | U.S. |
Total Housing Units | 6,264, 100% | 519,811 | 131,642,457 |
1 Room | 393, 6.27%, see rank | 4.57% | 1.95% |
2 Rooms | 281, 4.49%, see rank | 8.12% | 2.36% |
3 Rooms | 741, 11.83%, see rank | 14.64% | 8.97% |
4 Rooms | 1,499, 23.93%, see rank | 20.27% | 16.57% |
5 Rooms | 1,818, 29.02%, see rank | 20.13% | 20.41% |
6 Rooms | 768, 12.26%, see rank | 13.68% | 18.25% |
7 Rooms | 434, 6.93%, see rank | 8.32% | 12.38% |
8 Rooms | 145, 2.31%, see rank | 4.85% | 8.59% |
9 Rooms or More | 185, 2.95%, see rank | 5.43% | 10.52% |
Median Rooms | 4.60, see rank | 4.60 | 5.50 |
US Census 2000 data
| 96778 Zip Code | Hawaii | U.S. |
Total Housing Units | 4,499, 100% | 460,542 | 115,904,641 |
1 Room | 369, 8.20%, see rank | 7.28% | 2.20% |
2 Rooms | 351, 7.80%, see rank | 12.27% | 4.81% |
3 Rooms | 912, 20.27%, see rank | 17.55% | 9.84% |
4 Rooms | 708, 15.74%, see rank | 16.29% | 15.97% |
5 Rooms | 1,348, 29.96%, see rank | 17.86% | 20.89% |
6 Rooms | 553, 12.29%, see rank | 13.12% | 18.45% |
7 Rooms | 154, 3.42%, see rank | 7.62% | 12.06% |
8 Rooms | 69, 1.53%, see rank | 4.07% | 8.06% |
9 Rooms or More | 35, 0.78%, 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.