41042 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 41042 Zip Code | Kentucky | U.S. |
Total Housing Units | 20,050, 100% | 1,702,235 | 116,211,092 |
Utility Gas | 9,217, 45.97%, see rank | 38.22% | 48.85% |
Bottled, Tank, or LP Gas | 283, 1.41%, see rank | 6.49% | 4.86% |
Electricity | 10,163, 50.69%, see rank | 50.50% | 36.68% |
Fuel Oil, Kerosene, etc. | 163, 0.81%, see rank | 1.03% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.25% | 0.12% |
Wood | 37, 0.18%, see rank | 2.95% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
Other Fuel | 142, 0.71%, see rank | 0.30% | 0.47% |
No Fuel Used | 45, 0.22%, see rank | 0.24% | 1.00% |
ACS 2008-2012 data
| 41042 Zip Code | Kentucky | U.S. |
Total Housing Units | 19,513, 100% | 1,691,716 | 115,226,802 |
Utility Gas | 9,287, 47.59%, see rank | 39.50% | 49.42% |
Bottled, Tank, or LP Gas | 238, 1.22%, see rank | 6.78% | 5.03% |
Electricity | 9,697, 49.70%, see rank | 48.96% | 35.51% |
Fuel Oil, Kerosene, etc. | 136, 0.70%, see rank | 1.21% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.30% | 0.12% |
Wood | 19, 0.10%, see rank | 2.78% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 106, 0.54%, see rank | 0.28% | 0.43% |
No Fuel Used | 30, 0.15%, see rank | 0.18% | 0.90% |
US Census 2000 data
| 41042 Zip Code | Kentucky | U.S. |
Total Housing Units | 16,093, 100% | 1,590,647 | 105,480,101 |
Utility Gas | 8,051, 50.03%, see rank | 44.40% | 51.22% |
Bottled, Tank, or LP Gas | 424, 2.63%, see rank | 9.83% | 6.52% |
Electricity | 7,193, 44.70%, see rank | 38.84% | 30.35% |
Fuel Oil, Kerosene, etc. | 315, 1.96%, see rank | 2.78% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.76% | 0.14% |
Wood | 15, 0.09%, see rank | 2.86% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 55, 0.34%, see rank | 0.29% | 0.39% |
No Fuel Used | 40, 0.25%, 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.