48823 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 48823 Zip Code | Michigan | U.S. |
Total Housing Units | 19,787, 100% | 3,827,880 | 116,211,092 |
Utility Gas | 15,054, 76.08%, see rank | 77.13% | 48.85% |
Bottled, Tank, or LP Gas | 248, 1.25%, see rank | 8.48% | 4.86% |
Electricity | 4,112, 20.78%, see rank | 8.30% | 36.68% |
Fuel Oil, Kerosene, etc. | 72, 0.36%, see rank | 1.40% | 5.86% |
Coal or Coke | 39, 0.20%, see rank | 0.03% | 0.12% |
Wood | 50, 0.25%, see rank | 3.39% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
Other Fuel | 136, 0.69%, see rank | 0.86% | 0.47% |
No Fuel Used | 76, 0.38%, see rank | 0.39% | 1.00% |
ACS 2008-2012 data
| 48823 Zip Code | Michigan | U.S. |
Total Housing Units | 19,544, 100% | 3,818,931 | 115,226,802 |
Utility Gas | 15,030, 76.90%, see rank | 77.63% | 49.42% |
Bottled, Tank, or LP Gas | 167, 0.85%, see rank | 8.76% | 5.03% |
Electricity | 3,876, 19.83%, see rank | 7.60% | 35.51% |
Fuel Oil, Kerosene, etc. | 150, 0.77%, see rank | 1.69% | 6.46% |
Coal or Coke | 46, 0.24%, see rank | 0.03% | 0.12% |
Wood | 78, 0.40%, see rank | 3.20% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 152, 0.78%, see rank | 0.76% | 0.43% |
No Fuel Used | 45, 0.23%, see rank | 0.32% | 0.90% |
US Census 2000 data
| 48823 Zip Code | Michigan | U.S. |
Total Housing Units | 19,499, 100% | 3,785,661 | 105,480,101 |
Utility Gas | 14,519, 74.46%, see rank | 78.22% | 51.22% |
Bottled, Tank, or LP Gas | 231, 1.18%, see rank | 9.44% | 6.52% |
Electricity | 4,110, 21.08%, see rank | 6.64% | 30.35% |
Fuel Oil, Kerosene, etc. | 243, 1.25%, see rank | 3.46% | 8.97% |
Coal or Coke | 82, 0.42%, see rank | 0.02% | 0.14% |
Wood | 0, 0.00%, see rank | 1.44% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 206, 1.06%, see rank | 0.49% | 0.39% |
No Fuel Used | 108, 0.55%, 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.