Ko Olina, HI Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Ko Olina, HI | Hawaii | U.S. |
| Total Housing Units | 877, 100% | 450,299 | 116,211,092 |
| Utility Gas | 27, 3.08%, see rank | 2.05% | 48.85% |
| Bottled, Tank, or LP Gas | 6, 0.68%, see rank | 1.15% | 4.86% |
| Electricity | 389, 44.36%, 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 | 0, 0.00%, see rank | 0.36% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 1.97% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.09% | 0.47% |
| No Fuel Used | 455, 51.88%, see rank | 63.39% | 1.00% |
ACS 2008-2012 data
| | Ko Olina, HI | Hawaii | U.S. |
| Total Housing Units | 852, 100% | 447,453 | 115,226,802 |
| Utility Gas | 25, 2.93%, see rank | 2.06% | 49.42% |
| Bottled, Tank, or LP Gas | 11, 1.29%, see rank | 1.24% | 5.03% |
| Electricity | 475, 55.75%, see rank | 33.31% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.02% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
| Wood | 0, 0.00%, see rank | 0.46% | 2.08% |
| Solar Energy | 8, 0.94%, see rank | 1.36% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.07% | 0.43% |
| No Fuel Used | 333, 39.08%, see rank | 61.46% | 0.90% |
ACS 2006-2010 data
| | Ko Olina, HI | Hawaii | U.S. |
| Total Housing Units | 793, 100% | 442,267 | 114,235,996 |
| Utility Gas | 10, 1.26%, see rank | 2.21% | 49.91% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 1.44% | 5.38% |
| Electricity | 396, 49.94%, see rank | 34.54% | 34.20% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.03% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, see rank | 0.47% | 1.97% |
| Solar Energy | 8, 1.01%, see rank | 1.25% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.06% | 0.42% |
| No Fuel Used | 379, 47.79%, see rank | 59.99% | 0.90% |
* 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.
