21740 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 21740 Zip Code | Maryland | U.S. |
Total Housing Units | 23,172, 100% | 2,155,983 | 116,211,092 |
Utility Gas | 6,650, 28.70%, see rank | 44.54% | 48.85% |
Bottled, Tank, or LP Gas | 595, 2.57%, see rank | 3.17% | 4.86% |
Electricity | 10,961, 47.30%, see rank | 39.67% | 36.68% |
Fuel Oil, Kerosene, etc. | 4,458, 19.24%, see rank | 10.31% | 5.86% |
Coal or Coke | 0, 0.00%, see rank | 0.11% | 0.12% |
Wood | 288, 1.24%, see rank | 1.37% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 38, 0.16%, see rank | 0.45% | 0.47% |
No Fuel Used | 182, 0.79%, see rank | 0.35% | 1.00% |
ACS 2008-2012 data
| 21740 Zip Code | Maryland | U.S. |
Total Housing Units | 23,225, 100% | 2,138,806 | 115,226,802 |
Utility Gas | 7,306, 31.46%, see rank | 44.82% | 49.42% |
Bottled, Tank, or LP Gas | 577, 2.48%, see rank | 3.21% | 5.03% |
Electricity | 10,028, 43.18%, see rank | 38.74% | 35.51% |
Fuel Oil, Kerosene, etc. | 4,819, 20.75%, see rank | 11.18% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.11% | 0.12% |
Wood | 303, 1.30%, see rank | 1.27% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 88, 0.38%, see rank | 0.43% | 0.43% |
No Fuel Used | 104, 0.45%, see rank | 0.23% | 0.90% |
US Census 2000 data
| 21740 Zip Code | Maryland | U.S. |
Total Housing Units | 21,619, 100% | 1,980,859 | 105,480,101 |
Utility Gas | 6,859, 31.73%, see rank | 46.03% | 51.22% |
Bottled, Tank, or LP Gas | 400, 1.85%, see rank | 3.09% | 6.52% |
Electricity | 6,967, 32.23%, see rank | 33.09% | 30.35% |
Fuel Oil, Kerosene, etc. | 6,747, 31.21%, see rank | 15.99% | 8.97% |
Coal or Coke | 18, 0.08%, see rank | 0.13% | 0.14% |
Wood | 286, 1.32%, see rank | 1.00% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 279, 1.29%, see rank | 0.37% | 0.39% |
No Fuel Used | 63, 0.29%, see rank | 0.28% | 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.