17013 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 17013 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 13,745, 100% | 4,957,736 | 116,211,092 |
Utility Gas | 4,338, 31.56%, see rank | 51.01% | 48.85% |
Bottled, Tank, or LP Gas | 583, 4.24%, see rank | 3.81% | 4.86% |
Electricity | 5,598, 40.73%, see rank | 21.18% | 36.68% |
Fuel Oil, Kerosene, etc. | 2,709, 19.71%, see rank | 18.77% | 5.86% |
Coal or Coke | 45, 0.33%, see rank | 1.37% | 0.12% |
Wood | 349, 2.54%, see rank | 2.87% | 2.12% |
Solar Energy | 10, 0.07%, see rank | 0.03% | 0.05% |
Other Fuel | 50, 0.36%, see rank | 0.65% | 0.47% |
No Fuel Used | 63, 0.46%, see rank | 0.30% | 1.00% |
ACS 2008-2012 data
| 17013 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 13,550, 100% | 4,959,633 | 115,226,802 |
Utility Gas | 4,213, 31.09%, see rank | 51.16% | 49.42% |
Bottled, Tank, or LP Gas | 476, 3.51%, see rank | 3.64% | 5.03% |
Electricity | 5,094, 37.59%, see rank | 20.12% | 35.51% |
Fuel Oil, Kerosene, etc. | 3,273, 24.15%, see rank | 20.21% | 6.46% |
Coal or Coke | 94, 0.69%, see rank | 1.35% | 0.12% |
Wood | 336, 2.48%, see rank | 2.71% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 58, 0.43%, see rank | 0.56% | 0.43% |
No Fuel Used | 6, 0.04%, see rank | 0.24% | 0.90% |
US Census 2000 data
| 17013 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 20,434, 100% | 4,777,003 | 105,480,101 |
Utility Gas | 4,716, 23.08%, see rank | 51.35% | 51.22% |
Bottled, Tank, or LP Gas | 726, 3.55%, see rank | 3.04% | 6.52% |
Electricity | 6,966, 34.09%, see rank | 16.47% | 30.35% |
Fuel Oil, Kerosene, etc. | 6,961, 34.07%, see rank | 25.48% | 8.97% |
Coal or Coke | 348, 1.70%, see rank | 1.42% | 0.14% |
Wood | 419, 2.05%, see rank | 1.59% | 1.68% |
Solar Energy | 16, 0.08%, see rank | 0.01% | 0.04% |
Other Fuel | 194, 0.95%, see rank | 0.43% | 0.39% |
No Fuel Used | 88, 0.43%, 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.