94963 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 94963 Zip Code | California | U.S. |
| Total Housing Units | 207, 100% | 12,617,280 | 116,211,092 |
| Utility Gas | 19, 9.18%, see rank | 65.57% | 48.85% |
| Bottled, Tank, or LP Gas | 112, 54.11%, see rank | 3.16% | 4.86% |
| Electricity | 24, 11.59%, 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 | 52, 25.12%, see rank | 1.73% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.14% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.35% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 3.02% | 1.00% |
ACS 2008-2012 data
| | 94963 Zip Code | California | U.S. |
| Total Housing Units | 239, 100% | 12,466,331 | 115,226,802 |
| Utility Gas | 25, 10.46%, see rank | 66.60% | 49.42% |
| Bottled, Tank, or LP Gas | 61, 25.52%, see rank | 3.16% | 5.03% |
| Electricity | 89, 37.24%, 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 | 46, 19.25%, see rank | 1.76% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.08% | 0.04% |
| Other Fuel | 18, 7.53%, see rank | 0.34% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 2.86% | 0.90% |
US Census 2000 data
| | 94963 Zip Code | California | U.S. |
| Total Housing Units | 155, 100% | 11,502,870 | 105,480,101 |
| Utility Gas | 4, 2.58%, see rank | 70.55% | 51.22% |
| Bottled, Tank, or LP Gas | 89, 57.42%, see rank | 3.78% | 6.52% |
| Electricity | 38, 24.52%, see rank | 21.78% | 30.35% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.32% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.14% |
| Wood | 20, 12.90%, see rank | 1.78% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.12% | 0.04% |
| Other Fuel | 4, 2.58%, see rank | 0.24% | 0.39% |
| No Fuel Used | 0, 0.00%, 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.
