48393 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 48393 Zip Code | Michigan | U.S. |
| Total Housing Units | 7,144, 100% | 3,827,880 | 116,211,092 |
| Utility Gas | 6,548, 91.66%, see rank | 77.13% | 48.85% |
| Bottled, Tank, or LP Gas | 77, 1.08%, see rank | 8.48% | 4.86% |
| Electricity | 415, 5.81%, see rank | 8.30% | 36.68% |
| Fuel Oil, Kerosene, etc. | 11, 0.15%, see rank | 1.40% | 5.86% |
| Coal or Coke | 14, 0.20%, see rank | 0.03% | 0.12% |
| Wood | 28, 0.39%, see rank | 3.39% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 27, 0.38%, see rank | 0.86% | 0.47% |
| No Fuel Used | 24, 0.34%, see rank | 0.39% | 1.00% |
ACS 2008-2012 data
| | 48393 Zip Code | Michigan | U.S. |
| Total Housing Units | 6,810, 100% | 3,818,931 | 115,226,802 |
| Utility Gas | 6,236, 91.57%, see rank | 77.63% | 49.42% |
| Bottled, Tank, or LP Gas | 37, 0.54%, see rank | 8.76% | 5.03% |
| Electricity | 430, 6.31%, see rank | 7.60% | 35.51% |
| Fuel Oil, Kerosene, etc. | 9, 0.13%, see rank | 1.69% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
| Wood | 39, 0.57%, see rank | 3.20% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 42, 0.62%, see rank | 0.76% | 0.43% |
| No Fuel Used | 17, 0.25%, see rank | 0.32% | 0.90% |
US Census 2000 data
| | 48393 Zip Code | Michigan | U.S. |
| Total Housing Units | 7,016, 100% | 3,785,661 | 105,480,101 |
| Utility Gas | 6,396, 91.16%, see rank | 78.22% | 51.22% |
| Bottled, Tank, or LP Gas | 97, 1.38%, see rank | 9.44% | 6.52% |
| Electricity | 444, 6.33%, see rank | 6.64% | 30.35% |
| Fuel Oil, Kerosene, etc. | 20, 0.29%, see rank | 3.46% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
| Wood | 0, 0.00%, see rank | 1.44% | 1.68% |
| Solar Energy | 8, 0.11%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.49% | 0.39% |
| No Fuel Used | 51, 0.73%, see rank | 0.28% | 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.
