17522 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 17522 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 12,478, 100% | 4,957,736 | 116,211,092 |
Utility Gas | 1,359, 10.89%, see rank | 51.01% | 48.85% |
Bottled, Tank, or LP Gas | 1,241, 9.95%, see rank | 3.81% | 4.86% |
Electricity | 5,256, 42.12%, see rank | 21.18% | 36.68% |
Fuel Oil, Kerosene, etc. | 3,899, 31.25%, see rank | 18.77% | 5.86% |
Coal or Coke | 350, 2.80%, see rank | 1.37% | 0.12% |
Wood | 198, 1.59%, see rank | 2.87% | 2.12% |
Solar Energy | 27, 0.22%, see rank | 0.03% | 0.05% |
Other Fuel | 99, 0.79%, see rank | 0.65% | 0.47% |
No Fuel Used | 49, 0.39%, see rank | 0.30% | 1.00% |
ACS 2008-2012 data
| 17522 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 12,200, 100% | 4,959,633 | 115,226,802 |
Utility Gas | 1,223, 10.02%, see rank | 51.16% | 49.42% |
Bottled, Tank, or LP Gas | 1,175, 9.63%, see rank | 3.64% | 5.03% |
Electricity | 4,978, 40.80%, see rank | 20.12% | 35.51% |
Fuel Oil, Kerosene, etc. | 4,197, 34.40%, see rank | 20.21% | 6.46% |
Coal or Coke | 241, 1.98%, see rank | 1.35% | 0.12% |
Wood | 277, 2.27%, see rank | 2.71% | 2.08% |
Solar Energy | 30, 0.25%, see rank | 0.02% | 0.04% |
Other Fuel | 72, 0.59%, see rank | 0.56% | 0.43% |
No Fuel Used | 7, 0.06%, see rank | 0.24% | 0.90% |
US Census 2000 data
| 17522 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 10,850, 100% | 4,777,003 | 105,480,101 |
Utility Gas | 179, 1.65%, see rank | 51.35% | 51.22% |
Bottled, Tank, or LP Gas | 738, 6.80%, see rank | 3.04% | 6.52% |
Electricity | 4,267, 39.33%, see rank | 16.47% | 30.35% |
Fuel Oil, Kerosene, etc. | 5,102, 47.02%, see rank | 25.48% | 8.97% |
Coal or Coke | 325, 3.00%, see rank | 1.42% | 0.14% |
Wood | 182, 1.68%, see rank | 1.59% | 1.68% |
Solar Energy | 13, 0.12%, see rank | 0.01% | 0.04% |
Other Fuel | 14, 0.13%, see rank | 0.43% | 0.39% |
No Fuel Used | 30, 0.28%, 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.