Arpelar, OK Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Arpelar, OK | Oklahoma | U.S. |
| Total Housing Units | 129, 100% | 1,450,117 | 116,211,092 |
| Utility Gas | 22, 17.05%, see rank | 54.03% | 48.85% |
| Bottled, Tank, or LP Gas | 32, 24.81%, see rank | 7.25% | 4.86% |
| Electricity | 72, 55.81%, see rank | 35.66% | 36.68% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.12% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.96% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.05% |
| Other Fuel | 3, 2.33%, see rank | 0.80% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.17% | 1.00% |
ACS 2008-2012 data
| | Arpelar, OK | Oklahoma | U.S. |
| Total Housing Units | 103, 100% | 1,439,292 | 115,226,802 |
| Utility Gas | 24, 23.30%, see rank | 55.68% | 49.42% |
| Bottled, Tank, or LP Gas | 24, 23.30%, see rank | 7.77% | 5.03% |
| Electricity | 55, 53.40%, see rank | 33.47% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.11% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
| Wood | 0, 0.00%, see rank | 2.00% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.00% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.84% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.12% | 0.90% |
ACS 2006-2010 data
| | Arpelar, OK | Oklahoma | U.S. |
| Total Housing Units | 108, 100% | 1,421,705 | 114,235,996 |
| Utility Gas | 8, 7.41%, see rank | 56.96% | 49.91% |
| Bottled, Tank, or LP Gas | 35, 32.41%, see rank | 8.36% | 5.38% |
| Electricity | 65, 60.19%, see rank | 31.48% | 34.20% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.12% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.12% |
| Wood | 0, 0.00%, see rank | 2.06% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.89% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.13% | 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.
