89010 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 89010 Zip Code | Nevada | U.S. |
| Total Housing Units | 172, 100% | 1,005,958 | 116,211,092 |
| Utility Gas | 12, 6.98%, see rank | 62.12% | 48.85% |
| Bottled, Tank, or LP Gas | 59, 34.30%, see rank | 2.84% | 4.86% |
| Electricity | 35, 20.35%, see rank | 32.00% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.70% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 66, 38.37%, see rank | 1.52% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.05% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.42% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.32% | 1.00% |
ACS 2008-2012 data
| | 89010 Zip Code | Nevada | U.S. |
| Total Housing Units | 125, 100% | 992,896 | 115,226,802 |
| Utility Gas | 0, 0.00%, see rank | 62.96% | 49.42% |
| Bottled, Tank, or LP Gas | 53, 42.40%, see rank | 3.11% | 5.03% |
| Electricity | 17, 13.60%, see rank | 30.99% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.79% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 55, 44.00%, see rank | 1.41% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.05% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.42% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.24% | 0.90% |
US Census 2000 data
| | 89010 Zip Code | Nevada | U.S. |
| Total Housing Units | 158, 100% | 751,165 | 105,480,101 |
| Utility Gas | 4, 2.53%, see rank | 56.32% | 51.22% |
| Bottled, Tank, or LP Gas | 76, 48.10%, see rank | 4.76% | 6.52% |
| Electricity | 21, 13.29%, see rank | 35.77% | 30.35% |
| Fuel Oil, Kerosene, etc. | 10, 6.33%, see rank | 1.52% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.14% |
| Wood | 38, 24.05%, see rank | 1.06% | 1.68% |
| Solar Energy | 2, 1.27%, see rank | 0.05% | 0.04% |
| Other Fuel | 3, 1.90%, see rank | 0.29% | 0.39% |
| No Fuel Used | 4, 2.53%, see rank | 0.22% | 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.
