40962 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 40962 Zip Code | Kentucky | U.S. |
Total Housing Units | 6,669, 100% | 1,702,235 | 116,211,092 |
Utility Gas | 1,449, 21.73%, see rank | 38.22% | 48.85% |
Bottled, Tank, or LP Gas | 409, 6.13%, see rank | 6.49% | 4.86% |
Electricity | 4,384, 65.74%, see rank | 50.50% | 36.68% |
Fuel Oil, Kerosene, etc. | 70, 1.05%, see rank | 1.03% | 5.86% |
Coal or Coke | 163, 2.44%, see rank | 0.25% | 0.12% |
Wood | 124, 1.86%, see rank | 2.95% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
Other Fuel | 32, 0.48%, see rank | 0.30% | 0.47% |
No Fuel Used | 38, 0.57%, see rank | 0.24% | 1.00% |
ACS 2008-2012 data
| 40962 Zip Code | Kentucky | U.S. |
Total Housing Units | 5,968, 100% | 1,691,716 | 115,226,802 |
Utility Gas | 1,436, 24.06%, see rank | 39.50% | 49.42% |
Bottled, Tank, or LP Gas | 321, 5.38%, see rank | 6.78% | 5.03% |
Electricity | 3,760, 63.00%, see rank | 48.96% | 35.51% |
Fuel Oil, Kerosene, etc. | 77, 1.29%, see rank | 1.21% | 6.46% |
Coal or Coke | 211, 3.54%, see rank | 0.30% | 0.12% |
Wood | 128, 2.14%, see rank | 2.78% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 15, 0.25%, see rank | 0.28% | 0.43% |
No Fuel Used | 20, 0.34%, see rank | 0.18% | 0.90% |
US Census 2000 data
| 40962 Zip Code | Kentucky | U.S. |
Total Housing Units | 7,239, 100% | 1,590,647 | 105,480,101 |
Utility Gas | 1,949, 26.92%, see rank | 44.40% | 51.22% |
Bottled, Tank, or LP Gas | 384, 5.30%, see rank | 9.83% | 6.52% |
Electricity | 3,801, 52.51%, see rank | 38.84% | 30.35% |
Fuel Oil, Kerosene, etc. | 229, 3.16%, see rank | 2.78% | 8.97% |
Coal or Coke | 644, 8.90%, see rank | 0.76% | 0.14% |
Wood | 141, 1.95%, see rank | 2.86% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 91, 1.26%, 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.