Pitkin, LA Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Pitkin, LA | Louisiana | U.S. |
| Total Housing Units | 222, 100% | 1,718,876 | 116,211,092 |
| Utility Gas | 115, 51.80%, see rank | 35.46% | 48.85% |
| Bottled, Tank, or LP Gas | 6, 2.70%, see rank | 2.46% | 4.86% |
| Electricity | 98, 44.14%, 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 | 3, 1.35%, 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
| | Pitkin, LA | Louisiana | U.S. |
| Total Housing Units | 183, 100% | 1,696,499 | 115,226,802 |
| Utility Gas | 67, 36.61%, see rank | 37.02% | 49.42% |
| Bottled, Tank, or LP Gas | 6, 3.28%, see rank | 2.73% | 5.03% |
| Electricity | 100, 54.64%, 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 | 10, 5.46%, 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% |
ACS 2006-2010 data
| | Pitkin, LA | Louisiana | U.S. |
| Total Housing Units | 201, 100% | 1,641,165 | 114,235,996 |
| Utility Gas | 81, 40.30%, see rank | 38.90% | 49.91% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 3.34% | 5.38% |
| Electricity | 109, 54.23%, see rank | 56.54% | 34.20% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.11% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 11, 5.47%, see rank | 0.78% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.10% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.22% | 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.
