41031 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 41031 Zip Code | Kentucky | U.S. |
Total Housing Units | 6,179, 100% | 1,702,235 | 116,211,092 |
Utility Gas | 1,420, 22.98%, see rank | 38.22% | 48.85% |
Bottled, Tank, or LP Gas | 849, 13.74%, see rank | 6.49% | 4.86% |
Electricity | 3,481, 56.34%, see rank | 50.50% | 36.68% |
Fuel Oil, Kerosene, etc. | 129, 2.09%, see rank | 1.03% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.25% | 0.12% |
Wood | 254, 4.11%, see rank | 2.95% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
Other Fuel | 31, 0.50%, see rank | 0.30% | 0.47% |
No Fuel Used | 15, 0.24%, see rank | 0.24% | 1.00% |
ACS 2008-2012 data
| 41031 Zip Code | Kentucky | U.S. |
Total Housing Units | 6,245, 100% | 1,691,716 | 115,226,802 |
Utility Gas | 1,449, 23.20%, see rank | 39.50% | 49.42% |
Bottled, Tank, or LP Gas | 850, 13.61%, see rank | 6.78% | 5.03% |
Electricity | 3,363, 53.85%, see rank | 48.96% | 35.51% |
Fuel Oil, Kerosene, etc. | 179, 2.87%, see rank | 1.21% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.30% | 0.12% |
Wood | 356, 5.70%, see rank | 2.78% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 33, 0.53%, see rank | 0.28% | 0.43% |
No Fuel Used | 15, 0.24%, see rank | 0.18% | 0.90% |
US Census 2000 data
| 41031 Zip Code | Kentucky | U.S. |
Total Housing Units | 5,857, 100% | 1,590,647 | 105,480,101 |
Utility Gas | 2,172, 37.08%, see rank | 44.40% | 51.22% |
Bottled, Tank, or LP Gas | 979, 16.72%, see rank | 9.83% | 6.52% |
Electricity | 2,044, 34.90%, see rank | 38.84% | 30.35% |
Fuel Oil, Kerosene, etc. | 423, 7.22%, see rank | 2.78% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.76% | 0.14% |
Wood | 210, 3.59%, see rank | 2.86% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 19, 0.32%, see rank | 0.29% | 0.39% |
No Fuel Used | 10, 0.17%, 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.