19930 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 19930 Zip Code | Delaware | U.S. |
| Total Housing Units | 1,139, 100% | 339,046 | 116,211,092 |
| Utility Gas | 110, 9.66%, see rank | 40.46% | 48.85% |
| Bottled, Tank, or LP Gas | 165, 14.49%, see rank | 10.27% | 4.86% |
| Electricity | 814, 71.47%, see rank | 31.91% | 36.68% |
| Fuel Oil, Kerosene, etc. | 19, 1.67%, 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 | 7, 0.61%, see rank | 0.04% | 0.05% |
| Other Fuel | 24, 2.11%, see rank | 0.63% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.34% | 1.00% |
ACS 2008-2012 data
| | 19930 Zip Code | Delaware | U.S. |
| Total Housing Units | 1,034, 100% | 334,076 | 115,226,802 |
| Utility Gas | 132, 12.77%, see rank | 40.19% | 49.42% |
| Bottled, Tank, or LP Gas | 159, 15.38%, see rank | 10.90% | 5.03% |
| Electricity | 718, 69.44%, see rank | 29.95% | 35.51% |
| Fuel Oil, Kerosene, etc. | 7, 0.68%, see rank | 17.02% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.08% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.06% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
| Other Fuel | 18, 1.74%, see rank | 0.51% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.25% | 0.90% |
US Census 2000 data
| | 19930 Zip Code | Delaware | U.S. |
| Total Housing Units | 1,355, 100% | 298,736 | 105,480,101 |
| Utility Gas | 54, 3.99%, see rank | 36.80% | 51.22% |
| Bottled, Tank, or LP Gas | 256, 18.89%, see rank | 10.29% | 6.52% |
| Electricity | 967, 71.37%, see rank | 25.59% | 30.35% |
| Fuel Oil, Kerosene, etc. | 62, 4.58%, see rank | 25.93% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.09% | 0.14% |
| Wood | 3, 0.22%, see rank | 0.70% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 13, 0.96%, see rank | 0.38% | 0.39% |
| No Fuel Used | 0, 0.00%, 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.
