48467 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 48467 Zip Code | Michigan | U.S. |
| Total Housing Units | 1,187, 100% | 3,827,880 | 116,211,092 |
| Utility Gas | 667, 56.19%, see rank | 77.13% | 48.85% |
| Bottled, Tank, or LP Gas | 248, 20.89%, see rank | 8.48% | 4.86% |
| Electricity | 70, 5.90%, see rank | 8.30% | 36.68% |
| Fuel Oil, Kerosene, etc. | 71, 5.98%, see rank | 1.40% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
| Wood | 89, 7.50%, see rank | 3.39% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 24, 2.02%, see rank | 0.86% | 0.47% |
| No Fuel Used | 18, 1.52%, see rank | 0.39% | 1.00% |
ACS 2008-2012 data
| | 48467 Zip Code | Michigan | U.S. |
| Total Housing Units | 1,135, 100% | 3,818,931 | 115,226,802 |
| Utility Gas | 603, 53.13%, see rank | 77.63% | 49.42% |
| Bottled, Tank, or LP Gas | 262, 23.08%, see rank | 8.76% | 5.03% |
| Electricity | 83, 7.31%, see rank | 7.60% | 35.51% |
| Fuel Oil, Kerosene, etc. | 71, 6.26%, see rank | 1.69% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
| Wood | 74, 6.52%, see rank | 3.20% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 25, 2.20%, see rank | 0.76% | 0.43% |
| No Fuel Used | 17, 1.50%, see rank | 0.32% | 0.90% |
US Census 2000 data
| | 48467 Zip Code | Michigan | U.S. |
| Total Housing Units | 1,226, 100% | 3,785,661 | 105,480,101 |
| Utility Gas | 754, 61.50%, see rank | 78.22% | 51.22% |
| Bottled, Tank, or LP Gas | 318, 25.94%, see rank | 9.44% | 6.52% |
| Electricity | 34, 2.77%, see rank | 6.64% | 30.35% |
| Fuel Oil, Kerosene, etc. | 74, 6.04%, see rank | 3.46% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
| Wood | 41, 3.34%, see rank | 1.44% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 2, 0.16%, see rank | 0.49% | 0.39% |
| No Fuel Used | 3, 0.24%, 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.
