95476 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 95476 Zip Code | California | U.S. |
Total Housing Units | 15,491, 100% | 12,617,280 | 116,211,092 |
Utility Gas | 11,139, 71.91%, see rank | 65.57% | 48.85% |
Bottled, Tank, or LP Gas | 916, 5.91%, see rank | 3.16% | 4.86% |
Electricity | 2,868, 18.51%, see rank | 25.76% | 36.68% |
Fuel Oil, Kerosene, etc. | 48, 0.31%, see rank | 0.27% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 422, 2.72%, see rank | 1.73% | 2.12% |
Solar Energy | 10, 0.06%, see rank | 0.14% | 0.05% |
Other Fuel | 0, 0.00%, see rank | 0.35% | 0.47% |
No Fuel Used | 88, 0.57%, see rank | 3.02% | 1.00% |
ACS 2008-2012 data
| 95476 Zip Code | California | U.S. |
Total Housing Units | 15,189, 100% | 12,466,331 | 115,226,802 |
Utility Gas | 11,336, 74.63%, see rank | 66.60% | 49.42% |
Bottled, Tank, or LP Gas | 718, 4.73%, see rank | 3.16% | 5.03% |
Electricity | 2,725, 17.94%, see rank | 24.90% | 35.51% |
Fuel Oil, Kerosene, etc. | 22, 0.14%, see rank | 0.29% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 324, 2.13%, see rank | 1.76% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.08% | 0.04% |
Other Fuel | 11, 0.07%, see rank | 0.34% | 0.43% |
No Fuel Used | 53, 0.35%, see rank | 2.86% | 0.90% |
US Census 2000 data
| 95476 Zip Code | California | U.S. |
Total Housing Units | 14,130, 100% | 11,502,870 | 105,480,101 |
Utility Gas | 10,718, 75.85%, see rank | 70.55% | 51.22% |
Bottled, Tank, or LP Gas | 673, 4.76%, see rank | 3.78% | 6.52% |
Electricity | 2,294, 16.23%, see rank | 21.78% | 30.35% |
Fuel Oil, Kerosene, etc. | 16, 0.11%, see rank | 0.32% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.14% |
Wood | 342, 2.42%, see rank | 1.78% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.12% | 0.04% |
Other Fuel | 72, 0.51%, see rank | 0.24% | 0.39% |
No Fuel Used | 15, 0.11%, see rank | 1.43% | 0.69% |
* 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.