37660 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 37660 Zip Code | Tennessee | U.S. |
Total Housing Units | 17,479, 100% | 2,487,349 | 116,211,092 |
Utility Gas | 1,765, 10.10%, see rank | 33.15% | 48.85% |
Bottled, Tank, or LP Gas | 201, 1.15%, see rank | 4.33% | 4.86% |
Electricity | 15,128, 86.55%, see rank | 59.47% | 36.68% |
Fuel Oil, Kerosene, etc. | 102, 0.58%, see rank | 0.47% | 5.86% |
Coal or Coke | 14, 0.08%, see rank | 0.04% | 0.12% |
Wood | 137, 0.78%, see rank | 2.14% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
Other Fuel | 29, 0.17%, see rank | 0.11% | 0.47% |
No Fuel Used | 103, 0.59%, see rank | 0.27% | 1.00% |
ACS 2008-2012 data
| 37660 Zip Code | Tennessee | U.S. |
Total Housing Units | 17,564, 100% | 2,468,841 | 115,226,802 |
Utility Gas | 1,877, 10.69%, see rank | 34.02% | 49.42% |
Bottled, Tank, or LP Gas | 175, 1.00%, see rank | 4.74% | 5.03% |
Electricity | 15,133, 86.16%, see rank | 58.25% | 35.51% |
Fuel Oil, Kerosene, etc. | 141, 0.80%, see rank | 0.58% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.04% | 0.12% |
Wood | 196, 1.12%, see rank | 2.07% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 25, 0.14%, see rank | 0.09% | 0.43% |
No Fuel Used | 17, 0.10%, see rank | 0.20% | 0.90% |
US Census 2000 data
| 37660 Zip Code | Tennessee | U.S. |
Total Housing Units | 17,406, 100% | 2,232,905 | 105,480,101 |
Utility Gas | 2,153, 12.37%, see rank | 36.03% | 51.22% |
Bottled, Tank, or LP Gas | 255, 1.47%, see rank | 7.24% | 6.52% |
Electricity | 13,979, 80.31%, see rank | 52.14% | 30.35% |
Fuel Oil, Kerosene, etc. | 650, 3.73%, see rank | 1.82% | 8.97% |
Coal or Coke | 91, 0.52%, see rank | 0.12% | 0.14% |
Wood | 191, 1.10%, see rank | 2.28% | 1.68% |
Solar Energy | 6, 0.03%, see rank | 0.02% | 0.04% |
Other Fuel | 31, 0.18%, see rank | 0.13% | 0.39% |
No Fuel Used | 50, 0.29%, 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.