Bay Port, MI Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Bay Port, MI | Michigan | U.S. |
| Total Housing Units | 196, 100% | 3,827,880 | 116,211,092 |
| Utility Gas | 132, 67.35%, see rank | 77.13% | 48.85% |
| Bottled, Tank, or LP Gas | 9, 4.59%, see rank | 8.48% | 4.86% |
| Electricity | 17, 8.67%, see rank | 8.30% | 36.68% |
| Fuel Oil, Kerosene, etc. | 6, 3.06%, see rank | 1.40% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
| Wood | 32, 16.33%, see rank | 3.39% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.86% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.39% | 1.00% |
ACS 2008-2012 data
| | Bay Port, MI | Michigan | U.S. |
| Total Housing Units | 241, 100% | 3,818,931 | 115,226,802 |
| Utility Gas | 194, 80.50%, see rank | 77.63% | 49.42% |
| Bottled, Tank, or LP Gas | 10, 4.15%, see rank | 8.76% | 5.03% |
| Electricity | 4, 1.66%, see rank | 7.60% | 35.51% |
| Fuel Oil, Kerosene, etc. | 6, 2.49%, see rank | 1.69% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
| Wood | 27, 11.20%, see rank | 3.20% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.76% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.32% | 0.90% |
ACS 2006-2010 data
| | Bay Port, MI | Michigan | U.S. |
| Total Housing Units | 283, 100% | 3,843,997 | 114,235,996 |
| Utility Gas | 239, 84.45%, see rank | 77.97% | 49.91% |
| Bottled, Tank, or LP Gas | 18, 6.36%, see rank | 9.17% | 5.38% |
| Electricity | 3, 1.06%, see rank | 7.04% | 34.20% |
| Fuel Oil, Kerosene, etc. | 5, 1.77%, see rank | 2.05% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
| Wood | 18, 6.36%, see rank | 2.75% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.68% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.29% | 0.90% |
* 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.
