Revere C-3 School District Historical Type of Heating Fuel in a House Data
ACS 2008-2012 data
| Revere C-3 School District | Missouri | U.S. |
Total Housing Units | 244, 100% | 2,358,270 | 115,226,802 |
Utility Gas | 0, 0.00%, see rank | 53.06% | 49.42% |
Bottled, Tank, or LP Gas | 101, 41.39%, see rank | 9.93% | 5.03% |
Electricity | 57, 23.36%, see rank | 32.20% | 35.51% |
Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.29% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 77, 31.56%, see rank | 4.03% | 2.08% |
Solar Energy | 3, 1.23%, see rank | 0.02% | 0.04% |
Other Fuel | 6, 2.46%, see rank | 0.31% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 0.17% | 0.90% |
ACS 2006-2010 data
| Revere C-3 School District | Missouri | U.S. |
Total Housing Units | 244, 100% | 2,349,955 | 114,235,996 |
Utility Gas | 8, 3.28%, see rank | 54.10% | 49.91% |
Bottled, Tank, or LP Gas | 108, 44.26%, see rank | 10.88% | 5.38% |
Electricity | 58, 23.77%, see rank | 30.38% | 34.20% |
Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.35% | 7.07% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 60, 24.59%, see rank | 3.81% | 1.97% |
Solar Energy | 3, 1.23%, see rank | 0.02% | 0.03% |
Other Fuel | 7, 2.87%, see rank | 0.28% | 0.42% |
No Fuel Used | 0, 0.00%, see rank | 0.18% | 0.90% |
ACS 2005-2009 data
| Revere C-3 School District | Missouri | U.S. |
Total Housing Units | 274, 100% | 2,322,238 | 112,611,029 |
Utility Gas | 13, 4.74%, see rank | 55.08% | 50.14% |
Bottled, Tank, or LP Gas | 101, 36.86%, see rank | 11.25% | 5.58% |
Electricity | 62, 22.63%, see rank | 29.22% | 33.56% |
Fuel Oil, Kerosene, etc. | 0, 0.00%, see rank | 0.40% | 7.38% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 85, 31.02%, see rank | 3.59% | 1.89% |
Solar Energy | 3, 1.09%, see rank | 0.02% | 0.03% |
Other Fuel | 10, 3.65%, see rank | 0.28% | 0.42% |
No Fuel Used | 0, 0.00%, see rank | 0.17% | 0.88% |
* 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.