Pine Mountain Lake, CA Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| Pine Mountain Lake, CA | California | U.S. |
Total Housing Units | 1,216, 100% | 12,617,280 | 116,211,092 |
Utility Gas | 14, 1.15%, see rank | 65.57% | 48.85% |
Bottled, Tank, or LP Gas | 656, 53.95%, see rank | 3.16% | 4.86% |
Electricity | 200, 16.45%, see rank | 25.76% | 36.68% |
Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.27% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 306, 25.16%, see rank | 1.73% | 2.12% |
Solar Energy | 9, 0.74%, see rank | 0.14% | 0.05% |
Other Fuel | 31, 2.55%, see rank | 0.35% | 0.47% |
No Fuel Used | 0, 0.00%, see rank | 3.02% | 1.00% |
ACS 2008-2012 data
| Pine Mountain Lake, CA | California | U.S. |
Total Housing Units | 1,319, 100% | 12,466,331 | 115,226,802 |
Utility Gas | 91, 6.90%, see rank | 66.60% | 49.42% |
Bottled, Tank, or LP Gas | 679, 51.48%, see rank | 3.16% | 5.03% |
Electricity | 136, 10.31%, see rank | 24.90% | 35.51% |
Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.29% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 396, 30.02%, see rank | 1.76% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.08% | 0.04% |
Other Fuel | 17, 1.29%, see rank | 0.34% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 2.86% | 0.90% |
ACS 2006-2010 data
| Pine Mountain Lake, CA | California | U.S. |
Total Housing Units | 1,335, 100% | 12,392,852 | 114,235,996 |
Utility Gas | 100, 7.49%, see rank | 67.43% | 49.91% |
Bottled, Tank, or LP Gas | 863, 64.64%, see rank | 3.34% | 5.38% |
Electricity | 122, 9.14%, see rank | 23.80% | 34.20% |
Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.33% | 7.07% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 238, 17.83%, see rank | 1.80% | 1.97% |
Solar Energy | 12, 0.90%, see rank | 0.07% | 0.03% |
Other Fuel | 0, 0.00%, see rank | 0.34% | 0.42% |
No Fuel Used | 0, 0.00%, see rank | 2.89% | 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.