Bliss, NY Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | Bliss, NY | New York | U.S. |
| Total Housing Units | 216, 100% | 7,255,528 | 116,211,092 |
| Utility Gas | 81, 37.50%, see rank | 56.12% | 48.85% |
| Bottled, Tank, or LP Gas | 41, 18.98%, see rank | 3.36% | 4.86% |
| Electricity | 22, 10.19%, see rank | 10.26% | 36.68% |
| Fuel Oil, Kerosene, etc. | 22, 10.19%, see rank | 26.24% | 5.86% |
| Coal or Coke | 3, 1.39%, see rank | 0.26% | 0.12% |
| Wood | 47, 21.76%, see rank | 2.04% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
| Other Fuel | 0, 0.00%, see rank | 0.97% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.72% | 1.00% |
ACS 2008-2012 data
| | Bliss, NY | New York | U.S. |
| Total Housing Units | 257, 100% | 7,230,896 | 115,226,802 |
| Utility Gas | 105, 40.86%, see rank | 54.92% | 49.42% |
| Bottled, Tank, or LP Gas | 34, 13.23%, see rank | 3.16% | 5.03% |
| Electricity | 22, 8.56%, see rank | 9.44% | 35.51% |
| Fuel Oil, Kerosene, etc. | 26, 10.12%, see rank | 28.80% | 6.46% |
| Coal or Coke | 12, 4.67%, see rank | 0.26% | 0.12% |
| Wood | 51, 19.84%, see rank | 1.96% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 7, 2.72%, see rank | 0.86% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.57% | 0.90% |
ACS 2006-2010 data
| | Bliss, NY | New York | U.S. |
| Total Housing Units | 274, 100% | 7,205,740 | 114,235,996 |
| Utility Gas | 134, 48.91%, see rank | 53.35% | 49.91% |
| Bottled, Tank, or LP Gas | 41, 14.96%, see rank | 3.13% | 5.38% |
| Electricity | 18, 6.57%, see rank | 8.86% | 34.20% |
| Fuel Oil, Kerosene, etc. | 20, 7.30%, see rank | 31.29% | 7.07% |
| Coal or Coke | 12, 4.38%, see rank | 0.25% | 0.12% |
| Wood | 40, 14.60%, see rank | 1.76% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Fuel | 9, 3.28%, 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.
