Honolulu Metro Area Historical Type of Heating Fuel in a House Data
ACS 2008-2012 data
| Honolulu Area | Hawaii | U.S. |
Total Housing Units | 308,490, 100% | 447,453 | 115,226,802 |
Utility Gas | 7,805, 2.53%, see rank | 2.06% | 49.42% |
Bottled, Tank, or LP Gas | 2,277, 0.74%, see rank | 1.24% | 5.03% |
Electricity | 119,996, 38.90%, see rank | 33.31% | 35.51% |
Fuel Oil, Kerosene, etc. | 46, 0.01%, see rank | 0.02% | 6.46% |
Coal or Coke | 10, 0.00%, see rank | 0.00% | 0.12% |
Wood | 63, 0.02%, see rank | 0.46% | 2.08% |
Solar Energy | 3,927, 1.27%, see rank | 1.36% | 0.04% |
Other Fuel | 93, 0.03%, see rank | 0.07% | 0.43% |
No Fuel Used | 174,273, 56.49%, see rank | 61.46% | 0.90% |
ACS 2006-2010 data
| Honolulu Area | Hawaii | U.S. |
Total Housing Units | 304,827, 100% | 442,267 | 114,235,996 |
Utility Gas | 8,329, 2.73%, see rank | 2.21% | 49.91% |
Bottled, Tank, or LP Gas | 2,634, 0.86%, see rank | 1.44% | 5.38% |
Electricity | 123,504, 40.52%, see rank | 34.54% | 34.20% |
Fuel Oil, Kerosene, etc. | 21, 0.01%, see rank | 0.03% | 7.07% |
Coal or Coke | 27, 0.01%, see rank | 0.01% | 0.12% |
Wood | 78, 0.03%, see rank | 0.47% | 1.97% |
Solar Energy | 3,711, 1.22%, see rank | 1.25% | 0.03% |
Other Fuel | 95, 0.03%, see rank | 0.06% | 0.42% |
No Fuel Used | 166,428, 54.60%, see rank | 59.99% | 0.90% |
ACS 2005-2009 data
| Honolulu Area | Hawaii | U.S. |
Total Housing Units | 303,794, 100% | 437,976 | 112,611,029 |
Utility Gas | 9,271, 3.05%, see rank | 2.45% | 50.14% |
Bottled, Tank, or LP Gas | 2,895, 0.95%, see rank | 1.59% | 5.58% |
Electricity | 123,845, 40.77%, see rank | 35.06% | 33.56% |
Fuel Oil, Kerosene, etc. | 16, 0.01%, see rank | 0.03% | 7.38% |
Coal or Coke | 38, 0.01%, see rank | 0.01% | 0.12% |
Wood | 101, 0.03%, see rank | 0.48% | 1.89% |
Solar Energy | 3,350, 1.10%, see rank | 1.22% | 0.03% |
Other Fuel | 125, 0.04%, see rank | 0.05% | 0.42% |
No Fuel Used | 164,153, 54.03%, see rank | 59.12% | 0.88% |
* 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.