33572 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 33572 Zip Code | Florida | U.S. |
| Total Housing Units | 6,029, 100% | 7,217,508 | 116,211,092 |
| Utility Gas | 1,027, 17.03%, see rank | 4.53% | 48.85% |
| Bottled, Tank, or LP Gas | 92, 1.53%, see rank | 1.12% | 4.86% |
| Electricity | 4,886, 81.04%, 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 | 15, 0.25%, 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, 0.15%, see rank | 1.56% | 1.00% |
ACS 2008-2012 data
| | 33572 Zip Code | Florida | U.S. |
| Total Housing Units | 5,724, 100% | 7,147,013 | 115,226,802 |
| Utility Gas | 903, 15.78%, see rank | 4.57% | 49.42% |
| Bottled, Tank, or LP Gas | 112, 1.96%, see rank | 1.27% | 5.03% |
| Electricity | 4,624, 80.78%, see rank | 92.17% | 35.51% |
| Fuel Oil, Kerosene, etc. | 38, 0.66%, see rank | 0.27% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
| Wood | 17, 0.30%, see rank | 0.21% | 2.08% |
| Solar Energy | 9, 0.16%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.04% | 0.43% |
| No Fuel Used | 21, 0.37%, see rank | 1.44% | 0.90% |
US Census 2000 data
| | 33572 Zip Code | Florida | U.S. |
| Total Housing Units | 3,147, 100% | 6,337,929 | 105,480,101 |
| Utility Gas | 9, 0.29%, see rank | 5.95% | 51.22% |
| Bottled, Tank, or LP Gas | 100, 3.18%, see rank | 3.57% | 6.52% |
| Electricity | 3,007, 95.55%, see rank | 87.22% | 30.35% |
| Fuel Oil, Kerosene, etc. | 8, 0.25%, see rank | 1.11% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.14% |
| Wood | 0, 0.00%, see rank | 0.26% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.07% | 0.39% |
| No Fuel Used | 23, 0.73%, see rank | 1.76% | 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.
