37715 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 37715 Zip Code | Tennessee | U.S. |
| Total Housing Units | 282, 100% | 2,487,349 | 116,211,092 |
| Utility Gas | 9, 3.19%, see rank | 33.15% | 48.85% |
| Bottled, Tank, or LP Gas | 49, 17.38%, see rank | 4.33% | 4.86% |
| Electricity | 139, 49.29%, see rank | 59.47% | 36.68% |
| Fuel Oil, Kerosene, etc. | 29, 10.28%, see rank | 0.47% | 5.86% |
| Coal or Coke | 25, 8.87%, see rank | 0.04% | 0.12% |
| Wood | 31, 10.99%, see rank | 2.14% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.11% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.27% | 1.00% |
ACS 2008-2012 data
| | 37715 Zip Code | Tennessee | U.S. |
| Total Housing Units | 280, 100% | 2,468,841 | 115,226,802 |
| Utility Gas | 48, 17.14%, see rank | 34.02% | 49.42% |
| Bottled, Tank, or LP Gas | 32, 11.43%, see rank | 4.74% | 5.03% |
| Electricity | 152, 54.29%, see rank | 58.25% | 35.51% |
| Fuel Oil, Kerosene, etc. | 10, 3.57%, see rank | 0.58% | 6.46% |
| Coal or Coke | 14, 5.00%, see rank | 0.04% | 0.12% |
| Wood | 24, 8.57%, see rank | 2.07% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.09% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.20% | 0.90% |
US Census 2000 data
| | 37715 Zip Code | Tennessee | U.S. |
| Total Housing Units | 431, 100% | 2,232,905 | 105,480,101 |
| Utility Gas | 6, 1.39%, see rank | 36.03% | 51.22% |
| Bottled, Tank, or LP Gas | 68, 15.78%, see rank | 7.24% | 6.52% |
| Electricity | 152, 35.27%, see rank | 52.14% | 30.35% |
| Fuel Oil, Kerosene, etc. | 65, 15.08%, see rank | 1.82% | 8.97% |
| Coal or Coke | 99, 22.97%, see rank | 0.12% | 0.14% |
| Wood | 34, 7.89%, see rank | 2.28% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 3, 0.70%, see rank | 0.13% | 0.39% |
| No Fuel Used | 4, 0.93%, see rank | 0.22% | 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.
