40165 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 40165 Zip Code | Kentucky | U.S. |
Total Housing Units | 12,306, 100% | 1,702,235 | 116,211,092 |
Utility Gas | 5,639, 45.82%, see rank | 38.22% | 48.85% |
Bottled, Tank, or LP Gas | 925, 7.52%, see rank | 6.49% | 4.86% |
Electricity | 5,119, 41.60%, see rank | 50.50% | 36.68% |
Fuel Oil, Kerosene, etc. | 85, 0.69%, see rank | 1.03% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.25% | 0.12% |
Wood | 527, 4.28%, 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 | 11, 0.09%, see rank | 0.24% | 1.00% |
ACS 2008-2012 data
| 40165 Zip Code | Kentucky | U.S. |
Total Housing Units | 12,183, 100% | 1,691,716 | 115,226,802 |
Utility Gas | 5,788, 47.51%, see rank | 39.50% | 49.42% |
Bottled, Tank, or LP Gas | 955, 7.84%, see rank | 6.78% | 5.03% |
Electricity | 4,878, 40.04%, see rank | 48.96% | 35.51% |
Fuel Oil, Kerosene, etc. | 133, 1.09%, see rank | 1.21% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.30% | 0.12% |
Wood | 384, 3.15%, see rank | 2.78% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 45, 0.37%, see rank | 0.28% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 0.18% | 0.90% |
US Census 2000 data
| 40165 Zip Code | Kentucky | U.S. |
Total Housing Units | 9,817, 100% | 1,590,647 | 105,480,101 |
Utility Gas | 4,586, 46.71%, see rank | 44.40% | 51.22% |
Bottled, Tank, or LP Gas | 1,210, 12.33%, see rank | 9.83% | 6.52% |
Electricity | 3,367, 34.30%, see rank | 38.84% | 30.35% |
Fuel Oil, Kerosene, etc. | 277, 2.82%, see rank | 2.78% | 8.97% |
Coal or Coke | 13, 0.13%, see rank | 0.76% | 0.14% |
Wood | 339, 3.45%, see rank | 2.86% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 25, 0.25%, 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.