49009 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 49009 Zip Code | Michigan | U.S. |
Total Housing Units | 17,682, 100% | 3,827,880 | 116,211,092 |
Utility Gas | 12,784, 72.30%, see rank | 77.13% | 48.85% |
Bottled, Tank, or LP Gas | 1,265, 7.15%, see rank | 8.48% | 4.86% |
Electricity | 2,681, 15.16%, see rank | 8.30% | 36.68% |
Fuel Oil, Kerosene, etc. | 406, 2.30%, see rank | 1.40% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
Wood | 177, 1.00%, see rank | 3.39% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
Other Fuel | 224, 1.27%, see rank | 0.86% | 0.47% |
No Fuel Used | 145, 0.82%, see rank | 0.39% | 1.00% |
ACS 2008-2012 data
| 49009 Zip Code | Michigan | U.S. |
Total Housing Units | 17,360, 100% | 3,818,931 | 115,226,802 |
Utility Gas | 12,551, 72.30%, see rank | 77.63% | 49.42% |
Bottled, Tank, or LP Gas | 1,327, 7.64%, see rank | 8.76% | 5.03% |
Electricity | 2,480, 14.29%, see rank | 7.60% | 35.51% |
Fuel Oil, Kerosene, etc. | 469, 2.70%, see rank | 1.69% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.03% | 0.12% |
Wood | 208, 1.20%, see rank | 3.20% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 236, 1.36%, see rank | 0.76% | 0.43% |
No Fuel Used | 89, 0.51%, see rank | 0.32% | 0.90% |
US Census 2000 data
| 49009 Zip Code | Michigan | U.S. |
Total Housing Units | 12,237, 100% | 3,785,661 | 105,480,101 |
Utility Gas | 9,041, 73.88%, see rank | 78.22% | 51.22% |
Bottled, Tank, or LP Gas | 980, 8.01%, see rank | 9.44% | 6.52% |
Electricity | 1,290, 10.54%, see rank | 6.64% | 30.35% |
Fuel Oil, Kerosene, etc. | 701, 5.73%, see rank | 3.46% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.02% | 0.14% |
Wood | 100, 0.82%, see rank | 1.44% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 77, 0.63%, see rank | 0.49% | 0.39% |
No Fuel Used | 48, 0.39%, 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.