64479 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 64479 Zip Code | Missouri | U.S. |
| Total Housing Units | 376, 100% | 2,361,232 | 116,211,092 |
| Utility Gas | 103, 27.39%, see rank | 51.95% | 48.85% |
| Bottled, Tank, or LP Gas | 86, 22.87%, see rank | 9.41% | 4.86% |
| Electricity | 118, 31.38%, 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 | 53, 14.10%, see rank | 4.03% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 12, 3.19%, see rank | 0.34% | 0.47% |
| No Fuel Used | 4, 1.06%, see rank | 0.23% | 1.00% |
ACS 2008-2012 data
| | 64479 Zip Code | Missouri | U.S. |
| Total Housing Units | 381, 100% | 2,358,270 | 115,226,802 |
| Utility Gas | 121, 31.76%, see rank | 53.06% | 49.42% |
| Bottled, Tank, or LP Gas | 63, 16.54%, see rank | 9.93% | 5.03% |
| Electricity | 132, 34.65%, 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 | 59, 15.49%, see rank | 4.03% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 3, 0.79%, see rank | 0.31% | 0.43% |
| No Fuel Used | 3, 0.79%, see rank | 0.17% | 0.90% |
US Census 2000 data
| | 64479 Zip Code | Missouri | U.S. |
| Total Housing Units | 359, 100% | 2,194,594 | 105,480,101 |
| Utility Gas | 101, 28.13%, see rank | 57.48% | 51.22% |
| Bottled, Tank, or LP Gas | 114, 31.75%, see rank | 13.38% | 6.52% |
| Electricity | 108, 30.08%, see rank | 24.54% | 30.35% |
| Fuel Oil, Kerosene, etc. | 4, 1.11%, see rank | 0.63% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.14% |
| Wood | 32, 8.91%, see rank | 3.54% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.24% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.16% | 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.
