89509 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 89509 Zip Code | Nevada | U.S. |
Total Housing Units | 15,636, 100% | 1,005,958 | 116,211,092 |
Utility Gas | 10,558, 67.52%, see rank | 62.12% | 48.85% |
Bottled, Tank, or LP Gas | 155, 0.99%, see rank | 2.84% | 4.86% |
Electricity | 3,040, 19.44%, see rank | 32.00% | 36.68% |
Fuel Oil, Kerosene, etc. | 1,487, 9.51%, see rank | 0.70% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 155, 0.99%, see rank | 1.52% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.05% | 0.05% |
Other Fuel | 134, 0.86%, see rank | 0.42% | 0.47% |
No Fuel Used | 107, 0.68%, see rank | 0.32% | 1.00% |
ACS 2008-2012 data
| 89509 Zip Code | Nevada | U.S. |
Total Housing Units | 15,256, 100% | 992,896 | 115,226,802 |
Utility Gas | 10,315, 67.61%, see rank | 62.96% | 49.42% |
Bottled, Tank, or LP Gas | 212, 1.39%, see rank | 3.11% | 5.03% |
Electricity | 2,571, 16.85%, see rank | 30.99% | 35.51% |
Fuel Oil, Kerosene, etc. | 1,682, 11.03%, see rank | 0.79% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 172, 1.13%, see rank | 1.41% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.05% | 0.04% |
Other Fuel | 230, 1.51%, see rank | 0.42% | 0.43% |
No Fuel Used | 74, 0.49%, see rank | 0.24% | 0.90% |
US Census 2000 data
| 89509 Zip Code | Nevada | U.S. |
Total Housing Units | 18,784, 100% | 751,165 | 105,480,101 |
Utility Gas | 12,163, 64.75%, see rank | 56.32% | 51.22% |
Bottled, Tank, or LP Gas | 210, 1.12%, see rank | 4.76% | 6.52% |
Electricity | 3,190, 16.98%, see rank | 35.77% | 30.35% |
Fuel Oil, Kerosene, etc. | 2,808, 14.95%, see rank | 1.52% | 8.97% |
Coal or Coke | 9, 0.05%, see rank | 0.01% | 0.14% |
Wood | 39, 0.21%, see rank | 1.06% | 1.68% |
Solar Energy | 9, 0.05%, see rank | 0.05% | 0.04% |
Other Fuel | 276, 1.47%, see rank | 0.29% | 0.39% |
No Fuel Used | 80, 0.43%, 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.