92102 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 92102 Zip Code | California | U.S. |
Total Housing Units | 14,181, 100% | 12,617,280 | 116,211,092 |
Utility Gas | 7,534, 53.13%, see rank | 65.57% | 48.85% |
Bottled, Tank, or LP Gas | 73, 0.51%, see rank | 3.16% | 4.86% |
Electricity | 4,040, 28.49%, see rank | 25.76% | 36.68% |
Fuel Oil, Kerosene, etc. | 16, 0.11%, see rank | 0.27% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 67, 0.47%, see rank | 1.73% | 2.12% |
Solar Energy | 13, 0.09%, see rank | 0.14% | 0.05% |
Other Fuel | 5, 0.04%, see rank | 0.35% | 0.47% |
No Fuel Used | 2,433, 17.16%, see rank | 3.02% | 1.00% |
ACS 2008-2012 data
| 92102 Zip Code | California | U.S. |
Total Housing Units | 13,871, 100% | 12,466,331 | 115,226,802 |
Utility Gas | 8,857, 63.85%, see rank | 66.60% | 49.42% |
Bottled, Tank, or LP Gas | 113, 0.81%, see rank | 3.16% | 5.03% |
Electricity | 3,367, 24.27%, see rank | 24.90% | 35.51% |
Fuel Oil, Kerosene, etc. | 62, 0.45%, see rank | 0.29% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 44, 0.32%, see rank | 1.76% | 2.08% |
Solar Energy | 30, 0.22%, see rank | 0.08% | 0.04% |
Other Fuel | 3, 0.02%, see rank | 0.34% | 0.43% |
No Fuel Used | 1,395, 10.06%, see rank | 2.86% | 0.90% |
US Census 2000 data
| 92102 Zip Code | California | U.S. |
Total Housing Units | 14,243, 100% | 11,502,870 | 105,480,101 |
Utility Gas | 9,103, 63.91%, see rank | 70.55% | 51.22% |
Bottled, Tank, or LP Gas | 215, 1.51%, see rank | 3.78% | 6.52% |
Electricity | 3,877, 27.22%, see rank | 21.78% | 30.35% |
Fuel Oil, Kerosene, etc. | 4, 0.03%, see rank | 0.32% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.14% |
Wood | 78, 0.55%, see rank | 1.78% | 1.68% |
Solar Energy | 33, 0.23%, see rank | 0.12% | 0.04% |
Other Fuel | 14, 0.10%, see rank | 0.24% | 0.39% |
No Fuel Used | 919, 6.45%, 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.