Regional School Unit 18 Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| Regional School Unit 18 | Maine | U.S. |
Total Housing Units | 7,820, 100% | 553,086 | 116,211,092 |
Utility Gas | 9, 0.12%, see rank | 5.45% | 48.85% |
Bottled, Tank, or LP Gas | 400, 5.12%, see rank | 7.75% | 4.86% |
Electricity | 146, 1.87%, see rank | 4.79% | 36.68% |
Fuel Oil, Kerosene, etc. | 5,512, 70.49%, see rank | 66.66% | 5.86% |
Coal or Coke | 11, 0.14%, see rank | 0.35% | 0.12% |
Wood | 1,577, 20.17%, see rank | 13.20% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.08% | 0.05% |
Other Fuel | 165, 2.11%, see rank | 1.48% | 0.47% |
No Fuel Used | 0, 0.00%, see rank | 0.24% | 1.00% |
ACS 2008-2012 data
| Regional School Unit 18 | Maine | U.S. |
Total Housing Units | 7,641, 100% | 553,208 | 115,226,802 |
Utility Gas | 42, 0.55%, see rank | 4.60% | 49.42% |
Bottled, Tank, or LP Gas | 305, 3.99%, see rank | 6.93% | 5.03% |
Electricity | 150, 1.96%, see rank | 4.62% | 35.51% |
Fuel Oil, Kerosene, etc. | 5,829, 76.29%, see rank | 70.45% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.29% | 0.12% |
Wood | 1,195, 15.64%, see rank | 11.78% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.07% | 0.04% |
Other Fuel | 120, 1.57%, see rank | 1.02% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 0.23% | 0.90% |
ACS 2006-2010 data
| Regional School Unit 18 | Maine | U.S. |
Total Housing Units | 7,495, 100% | 551,125 | 114,235,996 |
Utility Gas | 44, 0.59%, see rank | 3.94% | 49.91% |
Bottled, Tank, or LP Gas | 342, 4.56%, see rank | 6.34% | 5.38% |
Electricity | 111, 1.48%, see rank | 4.72% | 34.20% |
Fuel Oil, Kerosene, etc. | 6,015, 80.25%, see rank | 74.07% | 7.07% |
Coal or Coke | 0, 0.00%, see rank | 0.21% | 0.12% |
Wood | 855, 11.41%, see rank | 9.80% | 1.97% |
Solar Energy | 0, 0.00%, see rank | 0.05% | 0.03% |
Other Fuel | 128, 1.71%, see rank | 0.66% | 0.42% |
No Fuel Used | 0, 0.00%, see rank | 0.21% | 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.