85534 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 85534 Zip Code | Arizona | U.S. |
| Total Housing Units | 1,104, 100% | 2,387,246 | 116,211,092 |
| Utility Gas | 636, 57.61%, see rank | 34.33% | 48.85% |
| Bottled, Tank, or LP Gas | 60, 5.43%, see rank | 2.89% | 4.86% |
| Electricity | 310, 28.08%, 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 | 55, 4.98%, see rank | 2.01% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.17% | 0.05% |
| Other Fuel | 35, 3.17%, see rank | 0.25% | 0.47% |
| No Fuel Used | 8, 0.72%, see rank | 1.17% | 1.00% |
ACS 2008-2012 data
| | 85534 Zip Code | Arizona | U.S. |
| Total Housing Units | 1,028, 100% | 2,357,158 | 115,226,802 |
| Utility Gas | 589, 57.30%, see rank | 35.29% | 49.42% |
| Bottled, Tank, or LP Gas | 71, 6.91%, see rank | 3.11% | 5.03% |
| Electricity | 249, 24.22%, 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 | 71, 6.91%, see rank | 1.98% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.08% | 0.04% |
| Other Fuel | 34, 3.31%, see rank | 0.26% | 0.43% |
| No Fuel Used | 14, 1.36%, see rank | 1.02% | 0.90% |
US Census 2000 data
| | 85534 Zip Code | Arizona | U.S. |
| Total Housing Units | 1,300, 100% | 1,901,327 | 105,480,101 |
| Utility Gas | 683, 52.54%, see rank | 37.49% | 51.22% |
| Bottled, Tank, or LP Gas | 257, 19.77%, see rank | 5.18% | 6.52% |
| Electricity | 243, 18.69%, see rank | 54.34% | 30.35% |
| Fuel Oil, Kerosene, etc. | 6, 0.46%, see rank | 0.10% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.05% | 0.14% |
| Wood | 99, 7.62%, see rank | 2.10% | 1.68% |
| Solar Energy | 3, 0.23%, see rank | 0.06% | 0.04% |
| Other Fuel | 9, 0.69%, see rank | 0.14% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.54% | 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.
