49201 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 49201 Zip Code | Michigan | U.S. |
Total Housing Units | 15,356, 100% | 3,827,880 | 116,211,092 |
Utility Gas | 11,636, 75.77%, see rank | 77.13% | 48.85% |
Bottled, Tank, or LP Gas | 1,513, 9.85%, see rank | 8.48% | 4.86% |
Electricity | 1,492, 9.72%, see rank | 8.30% | 36.68% |
Fuel Oil, Kerosene, etc. | 176, 1.15%, see rank | 1.40% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
Wood | 406, 2.64%, see rank | 3.39% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
Other Fuel | 40, 0.26%, see rank | 0.86% | 0.47% |
No Fuel Used | 93, 0.61%, see rank | 0.39% | 1.00% |
ACS 2008-2012 data
| 49201 Zip Code | Michigan | U.S. |
Total Housing Units | 15,012, 100% | 3,818,931 | 115,226,802 |
Utility Gas | 11,570, 77.07%, see rank | 77.63% | 49.42% |
Bottled, Tank, or LP Gas | 1,295, 8.63%, see rank | 8.76% | 5.03% |
Electricity | 1,315, 8.76%, see rank | 7.60% | 35.51% |
Fuel Oil, Kerosene, etc. | 215, 1.43%, see rank | 1.69% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
Wood | 464, 3.09%, see rank | 3.20% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 70, 0.47%, see rank | 0.76% | 0.43% |
No Fuel Used | 83, 0.55%, see rank | 0.32% | 0.90% |
US Census 2000 data
| 49201 Zip Code | Michigan | U.S. |
Total Housing Units | 14,465, 100% | 3,785,661 | 105,480,101 |
Utility Gas | 11,185, 77.32%, see rank | 78.22% | 51.22% |
Bottled, Tank, or LP Gas | 1,508, 10.43%, see rank | 9.44% | 6.52% |
Electricity | 1,000, 6.91%, see rank | 6.64% | 30.35% |
Fuel Oil, Kerosene, etc. | 516, 3.57%, see rank | 3.46% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 149, 1.03%, see rank | 1.44% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 88, 0.61%, see rank | 0.49% | 0.39% |
No Fuel Used | 19, 0.13%, 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.