46974 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 46974 Zip Code | Indiana | U.S. |
| Total Housing Units | 633, 100% | 2,492,183 | 116,211,092 |
| Utility Gas | 216, 34.12%, see rank | 61.00% | 48.85% |
| Bottled, Tank, or LP Gas | 131, 20.70%, see rank | 7.17% | 4.86% |
| Electricity | 182, 28.75%, 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 | 55, 8.69%, see rank | 2.21% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 38, 6.00%, see rank | 0.46% | 0.47% |
| No Fuel Used | 11, 1.74%, see rank | 0.27% | 1.00% |
ACS 2008-2012 data
| | 46974 Zip Code | Indiana | U.S. |
| Total Housing Units | 635, 100% | 2,478,846 | 115,226,802 |
| Utility Gas | 197, 31.02%, see rank | 62.04% | 49.42% |
| Bottled, Tank, or LP Gas | 171, 26.93%, see rank | 7.42% | 5.03% |
| Electricity | 148, 23.31%, see rank | 26.36% | 35.51% |
| Fuel Oil, Kerosene, etc. | 6, 0.94%, see rank | 1.15% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.15% | 0.12% |
| Wood | 51, 8.03%, see rank | 2.14% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 44, 6.93%, see rank | 0.49% | 0.43% |
| No Fuel Used | 18, 2.83%, see rank | 0.23% | 0.90% |
US Census 2000 data
| | 46974 Zip Code | Indiana | U.S. |
| Total Housing Units | 588, 100% | 2,336,306 | 105,480,101 |
| Utility Gas | 221, 37.59%, see rank | 64.65% | 51.22% |
| Bottled, Tank, or LP Gas | 162, 27.55%, see rank | 8.96% | 6.52% |
| Electricity | 110, 18.71%, see rank | 21.70% | 30.35% |
| Fuel Oil, Kerosene, etc. | 58, 9.86%, see rank | 2.58% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.09% | 0.14% |
| Wood | 37, 6.29%, 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.
