71666 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 71666 Zip Code | Arkansas | U.S. |
| Total Housing Units | 19, 100% | 1,132,488 | 116,211,092 |
| Utility Gas | 0, 0.00%, see rank | 40.58% | 48.85% |
| Bottled, Tank, or LP Gas | 9, 47.37%, see rank | 7.51% | 4.86% |
| Electricity | 10, 52.63%, see rank | 46.89% | 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 | 4.39% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.30% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.20% | 1.00% |
ACS 2008-2012 data
| | 71666 Zip Code | Arkansas | U.S. |
| Total Housing Units | 25, 100% | 1,128,797 | 115,226,802 |
| Utility Gas | 0, 0.00%, see rank | 41.49% | 49.42% |
| Bottled, Tank, or LP Gas | 5, 20.00%, see rank | 8.27% | 5.03% |
| Electricity | 20, 80.00%, see rank | 45.03% | 35.51% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.14% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
| Wood | 0, 0.00%, see rank | 4.60% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.27% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.17% | 0.90% |
US Census 2000 data
| | 71666 Zip Code | Arkansas | U.S. |
| Total Housing Units | 31, 100% | 1,042,696 | 105,480,101 |
| Utility Gas | 6, 19.35%, see rank | 48.57% | 51.22% |
| Bottled, Tank, or LP Gas | 7, 22.58%, see rank | 13.52% | 6.52% |
| Electricity | 16, 51.61%, see rank | 32.68% | 30.35% |
| Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.12% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.00% | 0.14% |
| Wood | 0, 0.00%, see rank | 4.74% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
| Other Fuel | 2, 6.45%, see rank | 0.17% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.18% | 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.
