70756 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 70756 Zip Code | Louisiana | U.S. |
| Total Housing Units | 177, 100% | 1,718,876 | 116,211,092 |
| Utility Gas | 82, 46.33%, see rank | 35.46% | 48.85% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 2.46% | 4.86% |
| Electricity | 95, 53.67%, see rank | 61.06% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.07% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, see rank | 0.59% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.07% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.28% | 1.00% |
ACS 2008-2012 data
| | 70756 Zip Code | Louisiana | U.S. |
| Total Housing Units | 128, 100% | 1,696,499 | 115,226,802 |
| Utility Gas | 46, 35.94%, see rank | 37.02% | 49.42% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 2.73% | 5.03% |
| Electricity | 82, 64.06%, see rank | 59.17% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.07% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, see rank | 0.68% | 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 | 0.22% | 0.90% |
US Census 2000 data
| | 70756 Zip Code | Louisiana | U.S. |
| Total Housing Units | 141, 100% | 1,656,053 | 105,480,101 |
| Utility Gas | 86, 60.99%, see rank | 46.89% | 51.22% |
| Bottled, Tank, or LP Gas | 7, 4.96%, see rank | 4.93% | 6.52% |
| Electricity | 48, 34.04%, see rank | 46.79% | 30.35% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.15% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.14% |
| Wood | 0, 0.00%, see rank | 0.76% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.11% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.33% | 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.
