Vicksburg, AZ Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Vicksburg, AZ | Arizona | U.S. |
| Total Housing Units | 436, 100% | 2,387,246 | 116,211,092 |
| Utility Gas | 12, 2.75%, see rank | 34.33% | 48.85% |
| Bottled, Tank, or LP Gas | 231, 52.98%, see rank | 2.89% | 4.86% |
| Electricity | 190, 43.58%, see rank | 59.09% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.07% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, see rank | 2.01% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.17% | 0.05% |
| Other Fuel | 3, 0.69%, see rank | 0.25% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 1.17% | 1.00% |
ACS 2008-2012 data
| | Vicksburg, AZ | Arizona | U.S. |
| Total Housing Units | 362, 100% | 2,357,158 | 115,226,802 |
| Utility Gas | 15, 4.14%, see rank | 35.29% | 49.42% |
| Bottled, Tank, or LP Gas | 165, 45.58%, see rank | 3.11% | 5.03% |
| Electricity | 178, 49.17%, see rank | 58.20% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.06% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.98% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.08% | 0.04% |
| Other Fuel | 4, 1.10%, see rank | 0.26% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 1.02% | 0.90% |
ACS 2006-2010 data
| | Vicksburg, AZ | Arizona | U.S. |
| Total Housing Units | 190, 100% | 2,326,468 | 114,235,996 |
| Utility Gas | 20, 10.53%, see rank | 36.25% | 49.91% |
| Bottled, Tank, or LP Gas | 105, 55.26%, see rank | 3.38% | 5.38% |
| Electricity | 58, 30.53%, see rank | 56.97% | 34.20% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.07% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.95% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.05% | 0.03% |
| Other Fuel | 7, 3.68%, see rank | 0.33% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.97% | 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.
