17042 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 17042 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 14,432, 100% | 4,957,736 | 116,211,092 |
Utility Gas | 4,577, 31.71%, see rank | 51.01% | 48.85% |
Bottled, Tank, or LP Gas | 488, 3.38%, see rank | 3.81% | 4.86% |
Electricity | 3,071, 21.28%, see rank | 21.18% | 36.68% |
Fuel Oil, Kerosene, etc. | 5,563, 38.55%, see rank | 18.77% | 5.86% |
Coal or Coke | 134, 0.93%, see rank | 1.37% | 0.12% |
Wood | 429, 2.97%, see rank | 2.87% | 2.12% |
Solar Energy | 8, 0.06%, see rank | 0.03% | 0.05% |
Other Fuel | 109, 0.76%, see rank | 0.65% | 0.47% |
No Fuel Used | 53, 0.37%, see rank | 0.30% | 1.00% |
ACS 2008-2012 data
| 17042 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 14,940, 100% | 4,959,633 | 115,226,802 |
Utility Gas | 4,597, 30.77%, see rank | 51.16% | 49.42% |
Bottled, Tank, or LP Gas | 490, 3.28%, see rank | 3.64% | 5.03% |
Electricity | 3,112, 20.83%, see rank | 20.12% | 35.51% |
Fuel Oil, Kerosene, etc. | 6,143, 41.12%, see rank | 20.21% | 6.46% |
Coal or Coke | 123, 0.82%, see rank | 1.35% | 0.12% |
Wood | 321, 2.15%, see rank | 2.71% | 2.08% |
Solar Energy | 41, 0.27%, see rank | 0.02% | 0.04% |
Other Fuel | 79, 0.53%, see rank | 0.56% | 0.43% |
No Fuel Used | 34, 0.23%, see rank | 0.24% | 0.90% |
US Census 2000 data
| 17042 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 13,375, 100% | 4,777,003 | 105,480,101 |
Utility Gas | 3,684, 27.54%, see rank | 51.35% | 51.22% |
Bottled, Tank, or LP Gas | 301, 2.25%, see rank | 3.04% | 6.52% |
Electricity | 2,223, 16.62%, see rank | 16.47% | 30.35% |
Fuel Oil, Kerosene, etc. | 6,804, 50.87%, see rank | 25.48% | 8.97% |
Coal or Coke | 167, 1.25%, see rank | 1.42% | 0.14% |
Wood | 108, 0.81%, see rank | 1.59% | 1.68% |
Solar Energy | 4, 0.03%, see rank | 0.01% | 0.04% |
Other Fuel | 63, 0.47%, see rank | 0.43% | 0.39% |
No Fuel Used | 21, 0.16%, 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.