Clayville, RI Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Clayville, RI | Rhode Island | U.S. |
| Total Housing Units | 52, 100% | 409,569 | 116,211,092 |
| Utility Gas | 0, 0.00%, see rank | 51.13% | 48.85% |
| Bottled, Tank, or LP Gas | 12, 23.08%, see rank | 2.34% | 4.86% |
| Electricity | 0, 0.00%, see rank | 9.15% | 36.68% |
| Fuel Oil, Kerosene, etc. | 23, 44.23%, see rank | 34.82% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.11% | 0.12% |
| Wood | 17, 32.69%, see rank | 1.75% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.42% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.26% | 1.00% |
ACS 2008-2012 data
| | Clayville, RI | Rhode Island | U.S. |
| Total Housing Units | 57, 100% | 410,639 | 115,226,802 |
| Utility Gas | 0, 0.00%, see rank | 49.86% | 49.42% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 2.00% | 5.03% |
| Electricity | 0, 0.00%, see rank | 8.60% | 35.51% |
| Fuel Oil, Kerosene, etc. | 50, 87.72%, see rank | 37.38% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.13% | 0.12% |
| Wood | 7, 12.28%, see rank | 1.49% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 0.30% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.23% | 0.90% |
ACS 2006-2010 data
| | Clayville, RI | Rhode Island | U.S. |
| Total Housing Units | 74, 100% | 410,305 | 114,235,996 |
| Utility Gas | 18, 24.32%, see rank | 48.72% | 49.91% |
| Bottled, Tank, or LP Gas | 0, 0.00%, see rank | 2.13% | 5.38% |
| Electricity | 0, 0.00%, see rank | 8.13% | 34.20% |
| Fuel Oil, Kerosene, etc. | 56, 75.68%, see rank | 39.21% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.13% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.31% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.22% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.15% | 0.90% |
* 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.
