68865 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 68865 Zip Code | Nebraska | U.S. |
| Total Housing Units | 362, 100% | 731,347 | 116,211,092 |
| Utility Gas | 260, 71.82%, see rank | 62.61% | 48.85% |
| Bottled, Tank, or LP Gas | 7, 1.93%, see rank | 7.68% | 4.86% |
| Electricity | 75, 20.72%, see rank | 26.70% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.51% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 4, 1.10%, see rank | 1.42% | 2.12% |
| Solar Energy | 4, 1.10%, see rank | 0.02% | 0.05% |
| Other Fuel | 12, 3.31%, see rank | 0.77% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.28% | 1.00% |
ACS 2008-2012 data
| | 68865 Zip Code | Nebraska | U.S. |
| Total Housing Units | 340, 100% | 721,026 | 115,226,802 |
| Utility Gas | 203, 59.71%, see rank | 64.07% | 49.42% |
| Bottled, Tank, or LP Gas | 39, 11.47%, see rank | 7.81% | 5.03% |
| Electricity | 77, 22.65%, see rank | 24.82% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.66% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 2, 0.59%, see rank | 1.50% | 2.08% |
| Solar Energy | 3, 0.88%, see rank | 0.02% | 0.04% |
| Other Fuel | 16, 4.71%, see rank | 0.88% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.24% | 0.90% |
US Census 2000 data
| | 68865 Zip Code | Nebraska | U.S. |
| Total Housing Units | 354, 100% | 666,184 | 105,480,101 |
| Utility Gas | 270, 76.27%, see rank | 68.29% | 51.22% |
| Bottled, Tank, or LP Gas | 33, 9.32%, see rank | 10.32% | 6.52% |
| Electricity | 40, 11.30%, see rank | 18.35% | 30.35% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 1.23% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.14% |
| Wood | 11, 3.11%, see rank | 1.10% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.51% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.17% | 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.
