Mcconnell, KS Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Mcconnell, KS | Kansas | U.S. |
| Total Housing Units | 346, 100% | 1,112,335 | 116,211,092 |
| Utility Gas | 222, 64.16%, see rank | 67.60% | 48.85% |
| Bottled, Tank, or LP Gas | 3, 0.87%, see rank | 7.72% | 4.86% |
| Electricity | 121, 34.97%, 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 | 0, 0.00%, see rank | 1.79% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.47% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.21% | 1.00% |
ACS 2008-2012 data
| | Mcconnell, KS | Kansas | U.S. |
| Total Housing Units | 437, 100% | 1,109,391 | 115,226,802 |
| Utility Gas | 296, 67.73%, see rank | 69.10% | 49.42% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 7.95% | 5.03% |
| Electricity | 141, 32.27%, 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% |
ACS 2006-2010 data
| | Mcconnell, KS | Kansas | U.S. |
| Total Housing Units | 478, 100% | 1,101,672 | 114,235,996 |
| Utility Gas | 333, 69.67%, see rank | 70.24% | 49.91% |
| Bottled, Tank, or LP Gas | 15, 3.14%, see rank | 8.34% | 5.38% |
| Electricity | 130, 27.20%, see rank | 18.97% | 34.20% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.14% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.69% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.48% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.12% | 0.90% |
* 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.
