15068 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 15068 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 16,618, 100% | 4,957,736 | 116,211,092 |
Utility Gas | 14,140, 85.09%, see rank | 51.01% | 48.85% |
Bottled, Tank, or LP Gas | 267, 1.61%, see rank | 3.81% | 4.86% |
Electricity | 1,333, 8.02%, see rank | 21.18% | 36.68% |
Fuel Oil, Kerosene, etc. | 635, 3.82%, see rank | 18.77% | 5.86% |
Coal or Coke | 10, 0.06%, see rank | 1.37% | 0.12% |
Wood | 139, 0.84%, see rank | 2.87% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 66, 0.40%, see rank | 0.65% | 0.47% |
No Fuel Used | 28, 0.17%, see rank | 0.30% | 1.00% |
ACS 2008-2012 data
| 15068 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 16,732, 100% | 4,959,633 | 115,226,802 |
Utility Gas | 14,215, 84.96%, see rank | 51.16% | 49.42% |
Bottled, Tank, or LP Gas | 292, 1.75%, see rank | 3.64% | 5.03% |
Electricity | 1,436, 8.58%, see rank | 20.12% | 35.51% |
Fuel Oil, Kerosene, etc. | 599, 3.58%, see rank | 20.21% | 6.46% |
Coal or Coke | 26, 0.16%, see rank | 1.35% | 0.12% |
Wood | 118, 0.71%, see rank | 2.71% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 35, 0.21%, see rank | 0.56% | 0.43% |
No Fuel Used | 11, 0.07%, see rank | 0.24% | 0.90% |
US Census 2000 data
| 15068 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 17,474, 100% | 4,777,003 | 105,480,101 |
Utility Gas | 15,219, 87.10%, see rank | 51.35% | 51.22% |
Bottled, Tank, or LP Gas | 263, 1.51%, see rank | 3.04% | 6.52% |
Electricity | 1,235, 7.07%, see rank | 16.47% | 30.35% |
Fuel Oil, Kerosene, etc. | 652, 3.73%, see rank | 25.48% | 8.97% |
Coal or Coke | 9, 0.05%, see rank | 1.42% | 0.14% |
Wood | 37, 0.21%, see rank | 1.59% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.01% | 0.04% |
Other Fuel | 52, 0.30%, see rank | 0.43% | 0.39% |
No Fuel Used | 7, 0.04%, 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.