96776 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 96776 Zip Code | Hawaii | U.S. |
| Total Housing Units | 459, 100% | 450,299 | 116,211,092 |
| Utility Gas | 0, 0.00%, see rank | 2.05% | 48.85% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 1.15% | 4.86% |
| Electricity | 10, 2.18%, see rank | 30.97% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.02% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
| Wood | 6, 1.31%, see rank | 0.36% | 2.12% |
| Solar Energy | 2, 0.44%, see rank | 1.97% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.09% | 0.47% |
| No Fuel Used | 441, 96.08%, see rank | 63.39% | 1.00% |
ACS 2008-2012 data
| | 96776 Zip Code | Hawaii | U.S. |
| Total Housing Units | 585, 100% | 447,453 | 115,226,802 |
| Utility Gas | 0, 0.00%, see rank | 2.06% | 49.42% |
| Bottled, Tank, or LP Gas | 33, 5.64%, see rank | 1.24% | 5.03% |
| Electricity | 29, 4.96%, see rank | 33.31% | 35.51% |
| Fuel Oil, Kerosene, etc. | 2, 0.34%, see rank | 0.02% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
| Wood | 86, 14.70%, see rank | 0.46% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 1.36% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.07% | 0.43% |
| No Fuel Used | 435, 74.36%, see rank | 61.46% | 0.90% |
US Census 2000 data
| | 96776 Zip Code | Hawaii | U.S. |
| Total Housing Units | 497, 100% | 403,240 | 105,480,101 |
| Utility Gas | 1, 0.20%, see rank | 3.19% | 51.22% |
| Bottled, Tank, or LP Gas | 42, 8.45%, see rank | 2.56% | 6.52% |
| Electricity | 199, 40.04%, see rank | 47.79% | 30.35% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.11% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.14% |
| Wood | 57, 11.47%, see rank | 0.49% | 1.68% |
| Solar Energy | 8, 1.61%, see rank | 1.51% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.06% | 0.39% |
| No Fuel Used | 190, 38.23%, see rank | 44.30% | 0.69% |
* 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.
