40475 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 40475 Zip Code | Kentucky | U.S. |
Total Housing Units | 21,823, 100% | 1,702,235 | 116,211,092 |
Utility Gas | 3,554, 16.29%, see rank | 38.22% | 48.85% |
Bottled, Tank, or LP Gas | 462, 2.12%, see rank | 6.49% | 4.86% |
Electricity | 17,470, 80.05%, see rank | 50.50% | 36.68% |
Fuel Oil, Kerosene, etc. | 88, 0.40%, see rank | 1.03% | 5.86% |
Coal or Coke | 21, 0.10%, see rank | 0.25% | 0.12% |
Wood | 138, 0.63%, see rank | 2.95% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
Other Fuel | 67, 0.31%, see rank | 0.30% | 0.47% |
No Fuel Used | 23, 0.11%, see rank | 0.24% | 1.00% |
ACS 2008-2012 data
| 40475 Zip Code | Kentucky | U.S. |
Total Housing Units | 21,065, 100% | 1,691,716 | 115,226,802 |
Utility Gas | 3,662, 17.38%, see rank | 39.50% | 49.42% |
Bottled, Tank, or LP Gas | 673, 3.19%, see rank | 6.78% | 5.03% |
Electricity | 16,327, 77.51%, see rank | 48.96% | 35.51% |
Fuel Oil, Kerosene, etc. | 141, 0.67%, see rank | 1.21% | 6.46% |
Coal or Coke | 4, 0.02%, see rank | 0.30% | 0.12% |
Wood | 146, 0.69%, see rank | 2.78% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 68, 0.32%, see rank | 0.28% | 0.43% |
No Fuel Used | 44, 0.21%, see rank | 0.18% | 0.90% |
US Census 2000 data
| 40475 Zip Code | Kentucky | U.S. |
Total Housing Units | 18,525, 100% | 1,590,647 | 105,480,101 |
Utility Gas | 4,528, 24.44%, see rank | 44.40% | 51.22% |
Bottled, Tank, or LP Gas | 806, 4.35%, see rank | 9.83% | 6.52% |
Electricity | 12,466, 67.29%, see rank | 38.84% | 30.35% |
Fuel Oil, Kerosene, etc. | 257, 1.39%, see rank | 2.78% | 8.97% |
Coal or Coke | 118, 0.64%, see rank | 0.76% | 0.14% |
Wood | 230, 1.24%, see rank | 2.86% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 94, 0.51%, see rank | 0.29% | 0.39% |
No Fuel Used | 26, 0.14%, 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.