Royal Kunia, HI Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Royal Kunia, HI | Hawaii | U.S. |
| Total Housing Units | 4,055, 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 | 1,702, 41.97%, 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 | 58, 1.43%, see rank | 1.97% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.09% | 0.47% |
| No Fuel Used | 2,295, 56.60%, see rank | 63.39% | 1.00% |
ACS 2008-2012 data
| | Royal Kunia, HI | Hawaii | U.S. |
| Total Housing Units | 4,027, 100% | 447,453 | 115,226,802 |
| Utility Gas | 16, 0.40%, see rank | 2.06% | 49.42% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 1.24% | 5.03% |
| Electricity | 1,645, 40.85%, 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 | 44, 1.09%, see rank | 1.36% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.07% | 0.43% |
| No Fuel Used | 2,322, 57.66%, see rank | 61.46% | 0.90% |
ACS 2006-2010 data
| | Royal Kunia, HI | Hawaii | U.S. |
| Total Housing Units | 4,014, 100% | 442,267 | 114,235,996 |
| Utility Gas | 23, 0.57%, see rank | 2.21% | 49.91% |
| Bottled, Tank, or LP Gas | 13, 0.32%, see rank | 1.44% | 5.38% |
| Electricity | 1,590, 39.61%, 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 | 64, 1.59%, see rank | 1.25% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.06% | 0.42% |
| No Fuel Used | 2,324, 57.90%, 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.
