95688 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 95688 Zip Code | California | U.S. |
Total Housing Units | 12,579, 100% | 12,617,280 | 116,211,092 |
Utility Gas | 7,619, 60.57%, see rank | 65.57% | 48.85% |
Bottled, Tank, or LP Gas | 1,460, 11.61%, see rank | 3.16% | 4.86% |
Electricity | 2,908, 23.12%, see rank | 25.76% | 36.68% |
Fuel Oil, Kerosene, etc. | 25, 0.20%, see rank | 0.27% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 354, 2.81%, see rank | 1.73% | 2.12% |
Solar Energy | 80, 0.64%, see rank | 0.14% | 0.05% |
Other Fuel | 95, 0.76%, see rank | 0.35% | 0.47% |
No Fuel Used | 38, 0.30%, see rank | 3.02% | 1.00% |
ACS 2008-2012 data
| 95688 Zip Code | California | U.S. |
Total Housing Units | 12,447, 100% | 12,466,331 | 115,226,802 |
Utility Gas | 7,947, 63.85%, see rank | 66.60% | 49.42% |
Bottled, Tank, or LP Gas | 1,177, 9.46%, see rank | 3.16% | 5.03% |
Electricity | 2,600, 20.89%, see rank | 24.90% | 35.51% |
Fuel Oil, Kerosene, etc. | 51, 0.41%, see rank | 0.29% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 520, 4.18%, see rank | 1.76% | 2.08% |
Solar Energy | 32, 0.26%, see rank | 0.08% | 0.04% |
Other Fuel | 75, 0.60%, see rank | 0.34% | 0.43% |
No Fuel Used | 45, 0.36%, see rank | 2.86% | 0.90% |
US Census 2000 data
| 95688 Zip Code | California | U.S. |
Total Housing Units | 11,294, 100% | 11,502,870 | 105,480,101 |
Utility Gas | 7,693, 68.12%, see rank | 70.55% | 51.22% |
Bottled, Tank, or LP Gas | 1,039, 9.20%, see rank | 3.78% | 6.52% |
Electricity | 2,088, 18.49%, see rank | 21.78% | 30.35% |
Fuel Oil, Kerosene, etc. | 34, 0.30%, see rank | 0.32% | 8.97% |
Coal or Coke | 6, 0.05%, see rank | 0.01% | 0.14% |
Wood | 366, 3.24%, see rank | 1.78% | 1.68% |
Solar Energy | 9, 0.08%, see rank | 0.12% | 0.04% |
Other Fuel | 52, 0.46%, see rank | 0.24% | 0.39% |
No Fuel Used | 7, 0.06%, 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.