Smock, PA Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Smock, PA | Pennsylvania | U.S. |
| Total Housing Units | 275, 100% | 4,957,736 | 116,211,092 |
| Utility Gas | 49, 17.82%, see rank | 51.01% | 48.85% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 3.81% | 4.86% |
| Electricity | 28, 10.18%, see rank | 21.18% | 36.68% |
| Fuel Oil, Kerosene, etc. | 198, 72.00%, see rank | 18.77% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 1.37% | 0.12% |
| Wood | 0, 0.00%, see rank | 2.87% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.65% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.30% | 1.00% |
ACS 2008-2012 data
| | Smock, PA | Pennsylvania | U.S. |
| Total Housing Units | 296, 100% | 4,959,633 | 115,226,802 |
| Utility Gas | 98, 33.11%, see rank | 51.16% | 49.42% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 3.64% | 5.03% |
| Electricity | 20, 6.76%, see rank | 20.12% | 35.51% |
| Fuel Oil, Kerosene, etc. | 178, 60.14%, see rank | 20.21% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 1.35% | 0.12% |
| Wood | 0, 0.00%, see rank | 2.71% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.56% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.24% | 0.90% |
ACS 2006-2010 data
| | Smock, PA | Pennsylvania | U.S. |
| Total Housing Units | 240, 100% | 4,940,581 | 114,235,996 |
| Utility Gas | 90, 37.50%, see rank | 51.28% | 49.91% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 3.64% | 5.38% |
| Electricity | 0, 0.00%, see rank | 19.03% | 34.20% |
| Fuel Oil, Kerosene, etc. | 132, 55.00%, see rank | 21.55% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 1.32% | 0.12% |
| Wood | 4, 1.67%, see rank | 2.43% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Fuel | 14, 5.83%, see rank | 0.53% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.21% | 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.
