19951 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 19951 Zip Code | Delaware | U.S. |
| Total Housing Units | 667, 100% | 339,046 | 116,211,092 |
| Utility Gas | 178, 26.69%, see rank | 40.46% | 48.85% |
| Bottled, Tank, or LP Gas | 176, 26.39%, see rank | 10.27% | 4.86% |
| Electricity | 236, 35.38%, see rank | 31.91% | 36.68% |
| Fuel Oil, Kerosene, etc. | 61, 9.15%, see rank | 15.26% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.11% | 0.12% |
| Wood | 0, 0.00%, see rank | 0.98% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.04% | 0.05% |
| Other Fuel | 15, 2.25%, see rank | 0.63% | 0.47% |
| No Fuel Used | 1, 0.15%, see rank | 0.34% | 1.00% |
ACS 2008-2012 data
| | 19951 Zip Code | Delaware | U.S. |
| Total Housing Units | 675, 100% | 334,076 | 115,226,802 |
| Utility Gas | 158, 23.41%, see rank | 40.19% | 49.42% |
| Bottled, Tank, or LP Gas | 192, 28.44%, see rank | 10.90% | 5.03% |
| Electricity | 249, 36.89%, see rank | 29.95% | 35.51% |
| Fuel Oil, Kerosene, etc. | 70, 10.37%, see rank | 17.02% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.08% | 0.12% |
| Wood | 3, 0.44%, see rank | 1.06% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.51% | 0.43% |
| No Fuel Used | 3, 0.44%, see rank | 0.25% | 0.90% |
US Census 2000 data
| | 19951 Zip Code | Delaware | U.S. |
| Total Housing Units | 402, 100% | 298,736 | 105,480,101 |
| Utility Gas | 12, 2.99%, see rank | 36.80% | 51.22% |
| Bottled, Tank, or LP Gas | 85, 21.14%, see rank | 10.29% | 6.52% |
| Electricity | 180, 44.78%, see rank | 25.59% | 30.35% |
| Fuel Oil, Kerosene, etc. | 95, 23.63%, see rank | 25.93% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.09% | 0.14% |
| Wood | 12, 2.99%, see rank | 0.70% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.38% | 0.39% |
| No Fuel Used | 18, 4.48%, see rank | 0.19% | 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.
