66870 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 66870 Zip Code | Kansas | U.S. |
| Total Housing Units | 60, 100% | 1,112,335 | 116,211,092 |
| Utility Gas | 0, 0.00%, see rank | 67.60% | 48.85% |
| Bottled, Tank, or LP Gas | 48, 80.00%, see rank | 7.72% | 4.86% |
| Electricity | 9, 15.00%, see rank | 22.06% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.13% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 2, 3.33%, see rank | 1.79% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.05% |
| Other Fuel | 1, 1.67%, see rank | 0.47% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.21% | 1.00% |
ACS 2008-2012 data
| | 66870 Zip Code | Kansas | U.S. |
| Total Housing Units | 70, 100% | 1,109,391 | 115,226,802 |
| Utility Gas | 2, 2.86%, see rank | 69.10% | 49.42% |
| Bottled, Tank, or LP Gas | 50, 71.43%, see rank | 7.95% | 5.03% |
| Electricity | 18, 25.71%, see rank | 20.46% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.12% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.75% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.45% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.14% | 0.90% |
US Census 2000 data
| | 66870 Zip Code | Kansas | U.S. |
| Total Housing Units | 100, 100% | 1,037,891 | 105,480,101 |
| Utility Gas | 4, 4.00%, see rank | 71.49% | 51.22% |
| Bottled, Tank, or LP Gas | 74, 74.00%, see rank | 9.49% | 6.52% |
| Electricity | 4, 4.00%, see rank | 17.22% | 30.35% |
| Fuel Oil, Kerosene, etc. | 2, 2.00%, see rank | 0.15% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.14% |
| Wood | 14, 14.00%, see rank | 1.24% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
| Other Fuel | 2, 2.00%, see rank | 0.29% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.09% | 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.
