68623 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 68623 Zip Code | Nebraska | U.S. |
| Total Housing Units | 132, 100% | 731,347 | 116,211,092 |
| Utility Gas | 31, 23.48%, see rank | 62.61% | 48.85% |
| Bottled, Tank, or LP Gas | 38, 28.79%, see rank | 7.68% | 4.86% |
| Electricity | 52, 39.39%, see rank | 26.70% | 36.68% |
| Fuel Oil, Kerosene, etc. | 4, 3.03%, see rank | 0.51% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 7, 5.30%, see rank | 1.42% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.77% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.28% | 1.00% |
ACS 2008-2012 data
| | 68623 Zip Code | Nebraska | U.S. |
| Total Housing Units | 142, 100% | 721,026 | 115,226,802 |
| Utility Gas | 55, 38.73%, see rank | 64.07% | 49.42% |
| Bottled, Tank, or LP Gas | 38, 26.76%, see rank | 7.81% | 5.03% |
| Electricity | 41, 28.87%, see rank | 24.82% | 35.51% |
| Fuel Oil, Kerosene, etc. | 2, 1.41%, see rank | 0.66% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 6, 4.23%, see rank | 1.50% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.88% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.24% | 0.90% |
US Census 2000 data
| | 68623 Zip Code | Nebraska | U.S. |
| Total Housing Units | 133, 100% | 666,184 | 105,480,101 |
| Utility Gas | 56, 42.11%, see rank | 68.29% | 51.22% |
| Bottled, Tank, or LP Gas | 46, 34.59%, see rank | 10.32% | 6.52% |
| Electricity | 18, 13.53%, see rank | 18.35% | 30.35% |
| Fuel Oil, Kerosene, etc. | 7, 5.26%, see rank | 1.23% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.14% |
| Wood | 6, 4.51%, 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.
