48601 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 48601 Zip Code | Michigan | U.S. |
Total Housing Units | 14,328, 100% | 3,827,880 | 116,211,092 |
Utility Gas | 11,904, 83.08%, see rank | 77.13% | 48.85% |
Bottled, Tank, or LP Gas | 380, 2.65%, see rank | 8.48% | 4.86% |
Electricity | 1,734, 12.10%, see rank | 8.30% | 36.68% |
Fuel Oil, Kerosene, etc. | 100, 0.70%, see rank | 1.40% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
Wood | 100, 0.70%, see rank | 3.39% | 2.12% |
Solar Energy | 19, 0.13%, see rank | 0.02% | 0.05% |
Other Fuel | 40, 0.28%, see rank | 0.86% | 0.47% |
No Fuel Used | 51, 0.36%, see rank | 0.39% | 1.00% |
ACS 2008-2012 data
| 48601 Zip Code | Michigan | U.S. |
Total Housing Units | 14,708, 100% | 3,818,931 | 115,226,802 |
Utility Gas | 12,763, 86.78%, see rank | 77.63% | 49.42% |
Bottled, Tank, or LP Gas | 371, 2.52%, see rank | 8.76% | 5.03% |
Electricity | 1,291, 8.78%, see rank | 7.60% | 35.51% |
Fuel Oil, Kerosene, etc. | 106, 0.72%, see rank | 1.69% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
Wood | 120, 0.82%, see rank | 3.20% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 36, 0.24%, see rank | 0.76% | 0.43% |
No Fuel Used | 21, 0.14%, see rank | 0.32% | 0.90% |
US Census 2000 data
| 48601 Zip Code | Michigan | U.S. |
Total Housing Units | 17,151, 100% | 3,785,661 | 105,480,101 |
Utility Gas | 14,195, 82.76%, see rank | 78.22% | 51.22% |
Bottled, Tank, or LP Gas | 405, 2.36%, see rank | 9.44% | 6.52% |
Electricity | 2,109, 12.30%, see rank | 6.64% | 30.35% |
Fuel Oil, Kerosene, etc. | 265, 1.55%, see rank | 3.46% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 54, 0.31%, see rank | 1.44% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 33, 0.19%, see rank | 0.49% | 0.39% |
No Fuel Used | 90, 0.52%, 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.