47966 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 47966 Zip Code | Indiana | U.S. |
| Total Housing Units | 165, 100% | 2,492,183 | 116,211,092 |
| Utility Gas | 118, 71.52%, see rank | 61.00% | 48.85% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 7.17% | 4.86% |
| Electricity | 47, 28.48%, see rank | 27.77% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.96% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.14% | 0.12% |
| Wood | 0, 0.00%, see rank | 2.21% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.46% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.27% | 1.00% |
ACS 2008-2012 data
| | 47966 Zip Code | Indiana | U.S. |
| Total Housing Units | 207, 100% | 2,478,846 | 115,226,802 |
| Utility Gas | 157, 75.85%, see rank | 62.04% | 49.42% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 7.42% | 5.03% |
| Electricity | 50, 24.15%, see rank | 26.36% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 1.15% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.15% | 0.12% |
| Wood | 0, 0.00%, see rank | 2.14% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.49% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.23% | 0.90% |
US Census 2000 data
| | 47966 Zip Code | Indiana | U.S. |
| Total Housing Units | 205, 100% | 2,336,306 | 105,480,101 |
| Utility Gas | 160, 78.05%, see rank | 64.65% | 51.22% |
| Bottled, Tank, or LP Gas | 4, 1.95%, see rank | 8.96% | 6.52% |
| Electricity | 34, 16.59%, see rank | 21.70% | 30.35% |
| Fuel Oil, Kerosene, etc. | 1, 0.49%, see rank | 2.58% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.09% | 0.14% |
| Wood | 6, 2.93%, see rank | 1.42% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.37% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.21% | 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.
