16661 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 16661 Zip Code | Pennsylvania | U.S. |
| Total Housing Units | 355, 100% | 4,957,736 | 116,211,092 |
| Utility Gas | 9, 2.54%, see rank | 51.01% | 48.85% |
| Bottled, Tank, or LP Gas | 12, 3.38%, see rank | 3.81% | 4.86% |
| Electricity | 3, 0.85%, see rank | 21.18% | 36.68% |
| Fuel Oil, Kerosene, etc. | 261, 73.52%, see rank | 18.77% | 5.86% |
| Coal or Coke | 45, 12.68%, see rank | 1.37% | 0.12% |
| Wood | 22, 6.20%, see rank | 2.87% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
| Other Fuel | 3, 0.85%, see rank | 0.65% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.30% | 1.00% |
ACS 2008-2012 data
| | 16661 Zip Code | Pennsylvania | U.S. |
| Total Housing Units | 362, 100% | 4,959,633 | 115,226,802 |
| Utility Gas | 9, 2.49%, see rank | 51.16% | 49.42% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 3.64% | 5.03% |
| Electricity | 8, 2.21%, see rank | 20.12% | 35.51% |
| Fuel Oil, Kerosene, etc. | 262, 72.38%, see rank | 20.21% | 6.46% |
| Coal or Coke | 51, 14.09%, see rank | 1.35% | 0.12% |
| Wood | 29, 8.01%, see rank | 2.71% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 3, 0.83%, see rank | 0.56% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.24% | 0.90% |
US Census 2000 data
| | 16661 Zip Code | Pennsylvania | U.S. |
| Total Housing Units | 441, 100% | 4,777,003 | 105,480,101 |
| Utility Gas | 7, 1.59%, see rank | 51.35% | 51.22% |
| Bottled, Tank, or LP Gas | 5, 1.13%, see rank | 3.04% | 6.52% |
| Electricity | 7, 1.59%, see rank | 16.47% | 30.35% |
| Fuel Oil, Kerosene, etc. | 343, 77.78%, see rank | 25.48% | 8.97% |
| Coal or Coke | 69, 15.65%, see rank | 1.42% | 0.14% |
| Wood | 9, 2.04%, see rank | 1.59% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.43% | 0.39% |
| No Fuel Used | 1, 0.23%, see rank | 0.21% | 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.
