48427 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 48427 Zip Code | Michigan | U.S. |
| Total Housing Units | 1,083, 100% | 3,827,880 | 116,211,092 |
| Utility Gas | 350, 32.32%, see rank | 77.13% | 48.85% |
| Bottled, Tank, or LP Gas | 471, 43.49%, see rank | 8.48% | 4.86% |
| Electricity | 99, 9.14%, see rank | 8.30% | 36.68% |
| Fuel Oil, Kerosene, etc. | 47, 4.34%, see rank | 1.40% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
| Wood | 96, 8.86%, see rank | 3.39% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 17, 1.57%, see rank | 0.86% | 0.47% |
| No Fuel Used | 3, 0.28%, see rank | 0.39% | 1.00% |
ACS 2008-2012 data
| | 48427 Zip Code | Michigan | U.S. |
| Total Housing Units | 1,109, 100% | 3,818,931 | 115,226,802 |
| Utility Gas | 356, 32.10%, see rank | 77.63% | 49.42% |
| Bottled, Tank, or LP Gas | 438, 39.50%, see rank | 8.76% | 5.03% |
| Electricity | 145, 13.07%, see rank | 7.60% | 35.51% |
| Fuel Oil, Kerosene, etc. | 54, 4.87%, see rank | 1.69% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
| Wood | 86, 7.75%, see rank | 3.20% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 23, 2.07%, see rank | 0.76% | 0.43% |
| No Fuel Used | 7, 0.63%, see rank | 0.32% | 0.90% |
US Census 2000 data
| | 48427 Zip Code | Michigan | U.S. |
| Total Housing Units | 1,215, 100% | 3,785,661 | 105,480,101 |
| Utility Gas | 384, 31.60%, see rank | 78.22% | 51.22% |
| Bottled, Tank, or LP Gas | 526, 43.29%, see rank | 9.44% | 6.52% |
| Electricity | 99, 8.15%, see rank | 6.64% | 30.35% |
| Fuel Oil, Kerosene, etc. | 149, 12.26%, see rank | 3.46% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
| Wood | 48, 3.95%, see rank | 1.44% | 1.68% |
| Solar Energy | 2, 0.16%, see rank | 0.02% | 0.04% |
| Other Fuel | 2, 0.16%, see rank | 0.49% | 0.39% |
| No Fuel Used | 5, 0.41%, 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.
