41540 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 41540 Zip Code | Kentucky | U.S. |
| Total Housing Units | 113, 100% | 1,702,235 | 116,211,092 |
| Utility Gas | 4, 3.54%, see rank | 38.22% | 48.85% |
| Bottled, Tank, or LP Gas | 12, 10.62%, see rank | 6.49% | 4.86% |
| Electricity | 97, 85.84%, see rank | 50.50% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 1.03% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.25% | 0.12% |
| Wood | 0, 0.00%, see rank | 2.95% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.30% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.24% | 1.00% |
ACS 2008-2012 data
| | 41540 Zip Code | Kentucky | U.S. |
| Total Housing Units | 122, 100% | 1,691,716 | 115,226,802 |
| Utility Gas | 6, 4.92%, see rank | 39.50% | 49.42% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 6.78% | 5.03% |
| Electricity | 116, 95.08%, see rank | 48.96% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 1.21% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.30% | 0.12% |
| Wood | 0, 0.00%, see rank | 2.78% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.28% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.18% | 0.90% |
US Census 2000 data
| | 41540 Zip Code | Kentucky | U.S. |
| Total Housing Units | 101, 100% | 1,590,647 | 105,480,101 |
| Utility Gas | 0, 0.00%, see rank | 44.40% | 51.22% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 9.83% | 6.52% |
| Electricity | 95, 94.06%, see rank | 38.84% | 30.35% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 2.78% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.76% | 0.14% |
| Wood | 6, 5.94%, see rank | 2.86% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.29% | 0.39% |
| No Fuel Used | 0, 0.00%, 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.
