49423 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 49423 Zip Code | Michigan | U.S. |
Total Housing Units | 16,075, 100% | 3,827,880 | 116,211,092 |
Utility Gas | 13,434, 83.57%, see rank | 77.13% | 48.85% |
Bottled, Tank, or LP Gas | 455, 2.83%, see rank | 8.48% | 4.86% |
Electricity | 1,610, 10.02%, see rank | 8.30% | 36.68% |
Fuel Oil, Kerosene, etc. | 119, 0.74%, see rank | 1.40% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
Wood | 209, 1.30%, see rank | 3.39% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
Other Fuel | 231, 1.44%, see rank | 0.86% | 0.47% |
No Fuel Used | 17, 0.11%, see rank | 0.39% | 1.00% |
ACS 2008-2012 data
| 49423 Zip Code | Michigan | U.S. |
Total Housing Units | 16,036, 100% | 3,818,931 | 115,226,802 |
Utility Gas | 13,703, 85.45%, see rank | 77.63% | 49.42% |
Bottled, Tank, or LP Gas | 416, 2.59%, see rank | 8.76% | 5.03% |
Electricity | 1,412, 8.81%, see rank | 7.60% | 35.51% |
Fuel Oil, Kerosene, etc. | 162, 1.01%, see rank | 1.69% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
Wood | 191, 1.19%, see rank | 3.20% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 112, 0.70%, see rank | 0.76% | 0.43% |
No Fuel Used | 40, 0.25%, see rank | 0.32% | 0.90% |
US Census 2000 data
| 49423 Zip Code | Michigan | U.S. |
Total Housing Units | 16,268, 100% | 3,785,661 | 105,480,101 |
Utility Gas | 13,874, 85.28%, see rank | 78.22% | 51.22% |
Bottled, Tank, or LP Gas | 588, 3.61%, see rank | 9.44% | 6.52% |
Electricity | 1,321, 8.12%, see rank | 6.64% | 30.35% |
Fuel Oil, Kerosene, etc. | 277, 1.70%, see rank | 3.46% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 44, 0.27%, see rank | 1.44% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 117, 0.72%, see rank | 0.49% | 0.39% |
No Fuel Used | 47, 0.29%, 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.