17356 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 17356 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 8,518, 100% | 4,957,736 | 116,211,092 |
Utility Gas | 5,245, 61.58%, see rank | 51.01% | 48.85% |
Bottled, Tank, or LP Gas | 461, 5.41%, see rank | 3.81% | 4.86% |
Electricity | 1,314, 15.43%, see rank | 21.18% | 36.68% |
Fuel Oil, Kerosene, etc. | 1,072, 12.59%, see rank | 18.77% | 5.86% |
Coal or Coke | 22, 0.26%, see rank | 1.37% | 0.12% |
Wood | 295, 3.46%, see rank | 2.87% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 109, 1.28%, see rank | 0.65% | 0.47% |
No Fuel Used | 0, 0.00%, see rank | 0.30% | 1.00% |
ACS 2008-2012 data
| 17356 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 8,658, 100% | 4,959,633 | 115,226,802 |
Utility Gas | 5,084, 58.72%, see rank | 51.16% | 49.42% |
Bottled, Tank, or LP Gas | 414, 4.78%, see rank | 3.64% | 5.03% |
Electricity | 1,394, 16.10%, see rank | 20.12% | 35.51% |
Fuel Oil, Kerosene, etc. | 1,227, 14.17%, see rank | 20.21% | 6.46% |
Coal or Coke | 15, 0.17%, see rank | 1.35% | 0.12% |
Wood | 426, 4.92%, see rank | 2.71% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 98, 1.13%, see rank | 0.56% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 0.24% | 0.90% |
US Census 2000 data
| 17356 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 7,124, 100% | 4,777,003 | 105,480,101 |
Utility Gas | 3,743, 52.54%, see rank | 51.35% | 51.22% |
Bottled, Tank, or LP Gas | 317, 4.45%, see rank | 3.04% | 6.52% |
Electricity | 974, 13.67%, see rank | 16.47% | 30.35% |
Fuel Oil, Kerosene, etc. | 1,855, 26.04%, see rank | 25.48% | 8.97% |
Coal or Coke | 56, 0.79%, see rank | 1.42% | 0.14% |
Wood | 117, 1.64%, see rank | 1.59% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 46, 0.65%, see rank | 0.43% | 0.39% |
No Fuel Used | 16, 0.22%, 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.