62348 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 62348 Zip Code | Illinois | U.S. |
| Total Housing Units | 64, 100% | 4,778,633 | 116,211,092 |
| Utility Gas | 43, 67.19%, see rank | 79.46% | 48.85% |
| Bottled, Tank, or LP Gas | 2, 3.13%, see rank | 4.08% | 4.86% |
| Electricity | 12, 18.75%, see rank | 14.82% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.20% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
| Wood | 7, 10.94%, see rank | 0.50% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.45% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.46% | 1.00% |
ACS 2008-2012 data
| | 62348 Zip Code | Illinois | U.S. |
| Total Housing Units | 74, 100% | 4,774,275 | 115,226,802 |
| Utility Gas | 55, 74.32%, see rank | 80.36% | 49.42% |
| Bottled, Tank, or LP Gas | 2, 2.70%, see rank | 4.10% | 5.03% |
| Electricity | 11, 14.86%, see rank | 14.02% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.25% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.12% |
| Wood | 6, 8.11%, see rank | 0.49% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.42% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.34% | 0.90% |
US Census 2000 data
| | 62348 Zip Code | Illinois | U.S. |
| Total Housing Units | 92, 100% | 4,591,779 | 105,480,101 |
| Utility Gas | 69, 75.00%, see rank | 80.54% | 51.22% |
| Bottled, Tank, or LP Gas | 19, 20.65%, see rank | 4.99% | 6.52% |
| Electricity | 4, 4.35%, see rank | 12.43% | 30.35% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.62% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
| Wood | 0, 0.00%, see rank | 0.37% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.55% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.48% | 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.
