19335 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 19335 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 17,603, 100% | 4,957,736 | 116,211,092 |
Utility Gas | 5,048, 28.68%, see rank | 51.01% | 48.85% |
Bottled, Tank, or LP Gas | 1,555, 8.83%, see rank | 3.81% | 4.86% |
Electricity | 6,458, 36.69%, see rank | 21.18% | 36.68% |
Fuel Oil, Kerosene, etc. | 4,031, 22.90%, see rank | 18.77% | 5.86% |
Coal or Coke | 41, 0.23%, see rank | 1.37% | 0.12% |
Wood | 264, 1.50%, see rank | 2.87% | 2.12% |
Solar Energy | 9, 0.05%, see rank | 0.03% | 0.05% |
Other Fuel | 103, 0.59%, see rank | 0.65% | 0.47% |
No Fuel Used | 94, 0.53%, see rank | 0.30% | 1.00% |
ACS 2008-2012 data
| 19335 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 17,659, 100% | 4,959,633 | 115,226,802 |
Utility Gas | 5,271, 29.85%, see rank | 51.16% | 49.42% |
Bottled, Tank, or LP Gas | 1,491, 8.44%, see rank | 3.64% | 5.03% |
Electricity | 6,472, 36.65%, see rank | 20.12% | 35.51% |
Fuel Oil, Kerosene, etc. | 4,156, 23.53%, see rank | 20.21% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 1.35% | 0.12% |
Wood | 184, 1.04%, see rank | 2.71% | 2.08% |
Solar Energy | 9, 0.05%, see rank | 0.02% | 0.04% |
Other Fuel | 67, 0.38%, see rank | 0.56% | 0.43% |
No Fuel Used | 9, 0.05%, see rank | 0.24% | 0.90% |
US Census 2000 data
| 19335 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 14,437, 100% | 4,777,003 | 105,480,101 |
Utility Gas | 3,058, 21.18%, see rank | 51.35% | 51.22% |
Bottled, Tank, or LP Gas | 929, 6.43%, see rank | 3.04% | 6.52% |
Electricity | 5,679, 39.34%, see rank | 16.47% | 30.35% |
Fuel Oil, Kerosene, etc. | 4,564, 31.61%, see rank | 25.48% | 8.97% |
Coal or Coke | 24, 0.17%, see rank | 1.42% | 0.14% |
Wood | 118, 0.82%, see rank | 1.59% | 1.68% |
Solar Energy | 8, 0.06%, see rank | 0.01% | 0.04% |
Other Fuel | 51, 0.35%, see rank | 0.43% | 0.39% |
No Fuel Used | 6, 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.