19808 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 19808 Zip Code | Delaware | U.S. |
Total Housing Units | 15,137, 100% | 339,046 | 116,211,092 |
Utility Gas | 6,322, 41.77%, see rank | 40.46% | 48.85% |
Bottled, Tank, or LP Gas | 258, 1.70%, see rank | 10.27% | 4.86% |
Electricity | 3,910, 25.83%, see rank | 31.91% | 36.68% |
Fuel Oil, Kerosene, etc. | 4,549, 30.05%, see rank | 15.26% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.11% | 0.12% |
Wood | 22, 0.15%, see rank | 0.98% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.04% | 0.05% |
Other Fuel | 29, 0.19%, see rank | 0.63% | 0.47% |
No Fuel Used | 47, 0.31%, see rank | 0.34% | 1.00% |
ACS 2008-2012 data
| 19808 Zip Code | Delaware | U.S. |
Total Housing Units | 15,062, 100% | 334,076 | 115,226,802 |
Utility Gas | 5,998, 39.82%, see rank | 40.19% | 49.42% |
Bottled, Tank, or LP Gas | 202, 1.34%, see rank | 10.90% | 5.03% |
Electricity | 3,887, 25.81%, see rank | 29.95% | 35.51% |
Fuel Oil, Kerosene, etc. | 4,836, 32.11%, see rank | 17.02% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.08% | 0.12% |
Wood | 54, 0.36%, see rank | 1.06% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.04% |
Other Fuel | 56, 0.37%, see rank | 0.51% | 0.43% |
No Fuel Used | 29, 0.19%, see rank | 0.25% | 0.90% |
US Census 2000 data
| 19808 Zip Code | Delaware | U.S. |
Total Housing Units | 16,048, 100% | 298,736 | 105,480,101 |
Utility Gas | 6,318, 39.37%, see rank | 36.80% | 51.22% |
Bottled, Tank, or LP Gas | 431, 2.69%, see rank | 10.29% | 6.52% |
Electricity | 3,602, 22.45%, see rank | 25.59% | 30.35% |
Fuel Oil, Kerosene, etc. | 5,602, 34.91%, see rank | 25.93% | 8.97% |
Coal or Coke | 6, 0.04%, see rank | 0.09% | 0.14% |
Wood | 18, 0.11%, see rank | 0.70% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 44, 0.27%, see rank | 0.38% | 0.39% |
No Fuel Used | 27, 0.17%, 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.