Bear Creek, FL Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Bear Creek, FL | Florida | U.S. |
| Total Housing Units | 912, 100% | 7,217,508 | 116,211,092 |
| Utility Gas | 50, 5.48%, see rank | 4.53% | 48.85% |
| Bottled, Tank, or LP Gas | 18, 1.97%, see rank | 1.12% | 4.86% |
| Electricity | 835, 91.56%, see rank | 92.30% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.22% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, see rank | 0.20% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.04% | 0.47% |
| No Fuel Used | 9, 0.99%, see rank | 1.56% | 1.00% |
ACS 2008-2012 data
| | Bear Creek, FL | Florida | U.S. |
| Total Housing Units | 811, 100% | 7,147,013 | 115,226,802 |
| Utility Gas | 29, 3.58%, see rank | 4.57% | 49.42% |
| Bottled, Tank, or LP Gas | 23, 2.84%, see rank | 1.27% | 5.03% |
| Electricity | 729, 89.89%, see rank | 92.17% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.27% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
| Wood | 0, 0.00%, see rank | 0.21% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.04% | 0.43% |
| No Fuel Used | 30, 3.70%, see rank | 1.44% | 0.90% |
ACS 2006-2010 data
| | Bear Creek, FL | Florida | U.S. |
| Total Housing Units | 814, 100% | 7,152,844 | 114,235,996 |
| Utility Gas | 27, 3.32%, see rank | 4.77% | 49.91% |
| Bottled, Tank, or LP Gas | 12, 1.47%, see rank | 1.54% | 5.38% |
| Electricity | 729, 89.56%, see rank | 91.50% | 34.20% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.34% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
| Wood | 0, 0.00%, see rank | 0.21% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.05% | 0.42% |
| No Fuel Used | 46, 5.65%, see rank | 1.56% | 0.90% |
* 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.
