Romulus, NY Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Romulus, NY | New York | U.S. |
| Total Housing Units | 191, 100% | 7,255,528 | 116,211,092 |
| Utility Gas | 4, 2.09%, see rank | 56.12% | 48.85% |
| Bottled, Tank, or LP Gas | 49, 25.65%, see rank | 3.36% | 4.86% |
| Electricity | 9, 4.71%, see rank | 10.26% | 36.68% |
| Fuel Oil, Kerosene, etc. | 54, 28.27%, see rank | 26.24% | 5.86% |
| Coal or Coke | 39, 20.42%, see rank | 0.26% | 0.12% |
| Wood | 27, 14.14%, see rank | 2.04% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
| Other Fuel | 9, 4.71%, see rank | 0.97% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.72% | 1.00% |
ACS 2008-2012 data
| | Romulus, NY | New York | U.S. |
| Total Housing Units | 177, 100% | 7,230,896 | 115,226,802 |
| Utility Gas | 0, 0.00%, see rank | 54.92% | 49.42% |
| Bottled, Tank, or LP Gas | 70, 39.55%, see rank | 3.16% | 5.03% |
| Electricity | 9, 5.08%, see rank | 9.44% | 35.51% |
| Fuel Oil, Kerosene, etc. | 45, 25.42%, see rank | 28.80% | 6.46% |
| Coal or Coke | 22, 12.43%, see rank | 0.26% | 0.12% |
| Wood | 24, 13.56%, see rank | 1.96% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 7, 3.95%, see rank | 0.86% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.57% | 0.90% |
ACS 2006-2010 data
| | Romulus, NY | New York | U.S. |
| Total Housing Units | 183, 100% | 7,205,740 | 114,235,996 |
| Utility Gas | 0, 0.00%, see rank | 53.35% | 49.91% |
| Bottled, Tank, or LP Gas | 94, 51.37%, see rank | 3.13% | 5.38% |
| Electricity | 5, 2.73%, see rank | 8.86% | 34.20% |
| Fuel Oil, Kerosene, etc. | 51, 27.87%, see rank | 31.29% | 7.07% |
| Coal or Coke | 10, 5.46%, see rank | 0.25% | 0.12% |
| Wood | 15, 8.20%, see rank | 1.76% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Fuel | 8, 4.37%, see rank | 0.82% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.52% | 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.
