19904 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 19904 Zip Code | Delaware | U.S. |
Total Housing Units | 11,285, 100% | 339,046 | 116,211,092 |
Utility Gas | 5,919, 52.45%, see rank | 40.46% | 48.85% |
Bottled, Tank, or LP Gas | 884, 7.83%, see rank | 10.27% | 4.86% |
Electricity | 2,484, 22.01%, see rank | 31.91% | 36.68% |
Fuel Oil, Kerosene, etc. | 1,483, 13.14%, see rank | 15.26% | 5.86% |
Coal or Coke | 89, 0.79%, see rank | 0.11% | 0.12% |
Wood | 291, 2.58%, see rank | 0.98% | 2.12% |
Solar Energy | 4, 0.04%, see rank | 0.04% | 0.05% |
Other Fuel | 75, 0.66%, see rank | 0.63% | 0.47% |
No Fuel Used | 56, 0.50%, see rank | 0.34% | 1.00% |
ACS 2008-2012 data
| 19904 Zip Code | Delaware | U.S. |
Total Housing Units | 11,399, 100% | 334,076 | 115,226,802 |
Utility Gas | 5,619, 49.29%, see rank | 40.19% | 49.42% |
Bottled, Tank, or LP Gas | 1,091, 9.57%, see rank | 10.90% | 5.03% |
Electricity | 2,534, 22.23%, see rank | 29.95% | 35.51% |
Fuel Oil, Kerosene, etc. | 1,681, 14.75%, see rank | 17.02% | 6.46% |
Coal or Coke | 57, 0.50%, see rank | 0.08% | 0.12% |
Wood | 317, 2.78%, see rank | 1.06% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 56, 0.49%, see rank | 0.51% | 0.43% |
No Fuel Used | 44, 0.39%, see rank | 0.25% | 0.90% |
US Census 2000 data
| 19904 Zip Code | Delaware | U.S. |
Total Housing Units | 9,805, 100% | 298,736 | 105,480,101 |
Utility Gas | 4,925, 50.23%, see rank | 36.80% | 51.22% |
Bottled, Tank, or LP Gas | 792, 8.08%, see rank | 10.29% | 6.52% |
Electricity | 1,746, 17.81%, see rank | 25.59% | 30.35% |
Fuel Oil, Kerosene, etc. | 2,083, 21.24%, see rank | 25.93% | 8.97% |
Coal or Coke | 51, 0.52%, see rank | 0.09% | 0.14% |
Wood | 189, 1.93%, see rank | 0.70% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 9, 0.09%, see rank | 0.38% | 0.39% |
No Fuel Used | 10, 0.10%, 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.