Waverly City, OH Historical Type of Heating Fuel in a House Data
ACS 2006-2010 data
| | Waverly City, OH | Ohio | U.S. |
| Total Housing Units | 2,094, 100% | 4,552,270 | 114,235,996 |
| Utility Gas | 1,332, 63.61%, see rank | 68.10% | 49.91% |
| Bottled, Tank, or LP Gas | 24, 1.15%, see rank | 5.71% | 5.38% |
| Electricity | 692, 33.05%, see rank | 20.05% | 34.20% |
| Fuel Oil, Kerosene, etc. | 20, 0.96%, see rank | 3.29% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.09% | 0.12% |
| Wood | 8, 0.38%, see rank | 1.82% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Fuel | 18, 0.86%, see rank | 0.67% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.27% | 0.90% |
ACS 2005-2009 data
| | Waverly City, OH | Ohio | U.S. |
| Total Housing Units | 2,235, 100% | 4,526,164 | 112,611,029 |
| Utility Gas | 1,409, 63.04%, see rank | 68.09% | 50.14% |
| Bottled, Tank, or LP Gas | 14, 0.63%, see rank | 5.98% | 5.58% |
| Electricity | 728, 32.57%, see rank | 19.68% | 33.56% |
| Fuel Oil, Kerosene, etc. | 59, 2.64%, see rank | 3.53% | 7.38% |
| Coal or Coke | 0, 0.00%, see rank | 0.09% | 0.12% |
| Wood | 6, 0.27%, see rank | 1.66% | 1.89% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Fuel | 19, 0.85%, see rank | 0.69% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.26% | 0.88% |
US Census 2000 data
| | Waverly City, OH | Ohio | U.S. |
| Total Housing Units | 2,044, 100% | 4,445,773 | 105,480,101 |
| Utility Gas | 1,468, 71.82%, see rank | 68.80% | 51.22% |
| Bottled, Tank, or LP Gas | 19, 0.93%, see rank | 6.14% | 6.52% |
| Electricity | 528, 25.83%, see rank | 18.29% | 30.35% |
| Fuel Oil, Kerosene, etc. | 17, 0.83%, see rank | 4.70% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.07% | 0.14% |
| Wood | 12, 0.59%, see rank | 1.07% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.65% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.25% | 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.
