Grayhawk, MO Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Grayhawk, MO | Missouri | U.S. |
| Total Housing Units | 275, 100% | 2,361,232 | 116,211,092 |
| Utility Gas | 0, 0.00%, see rank | 51.95% | 48.85% |
| Bottled, Tank, or LP Gas | 172, 62.55%, see rank | 9.41% | 4.86% |
| Electricity | 87, 31.64%, see rank | 33.77% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.24% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 16, 5.82%, see rank | 4.03% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.34% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.23% | 1.00% |
ACS 2008-2012 data
| | Grayhawk, MO | Missouri | U.S. |
| Total Housing Units | 211, 100% | 2,358,270 | 115,226,802 |
| Utility Gas | 0, 0.00%, see rank | 53.06% | 49.42% |
| Bottled, Tank, or LP Gas | 130, 61.61%, see rank | 9.93% | 5.03% |
| Electricity | 73, 34.60%, see rank | 32.20% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.29% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 8, 3.79%, see rank | 4.03% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.31% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.17% | 0.90% |
ACS 2006-2010 data
| | Grayhawk, MO | Missouri | U.S. |
| Total Housing Units | 228, 100% | 2,349,955 | 114,235,996 |
| Utility Gas | 0, 0.00%, see rank | 54.10% | 49.91% |
| Bottled, Tank, or LP Gas | 103, 45.18%, see rank | 10.88% | 5.38% |
| Electricity | 111, 48.68%, see rank | 30.38% | 34.20% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.35% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 14, 6.14%, see rank | 3.81% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.28% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.18% | 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.
