Quiogue, NY Historical Type of Heating Fuel in a House Data
ACS 2006-2010 data
| | Quiogue, NY | New York | U.S. |
| Total Housing Units | 327, 100% | 7,205,740 | 114,235,996 |
| Utility Gas | 11, 3.36%, see rank | 53.35% | 49.91% |
| Bottled, Tank, or LP Gas | 25, 7.65%, see rank | 3.13% | 5.38% |
| Electricity | 0, 0.00%, see rank | 8.86% | 34.20% |
| Fuel Oil, Kerosene, etc. | 291, 88.99%, see rank | 31.29% | 7.07% |
| Coal or Coke | 0, 0.00%, see rank | 0.25% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.76% | 1.97% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.82% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.52% | 0.90% |
ACS 2005-2009 data
| | Quiogue, NY | New York | U.S. |
| Total Housing Units | 302, 100% | 7,137,013 | 112,611,029 |
| Utility Gas | 24, 7.95%, see rank | 52.57% | 50.14% |
| Bottled, Tank, or LP Gas | 24, 7.95%, see rank | 3.14% | 5.58% |
| Electricity | 0, 0.00%, see rank | 8.64% | 33.56% |
| Fuel Oil, Kerosene, etc. | 254, 84.11%, see rank | 32.47% | 7.38% |
| Coal or Coke | 0, 0.00%, see rank | 0.22% | 0.12% |
| Wood | 0, 0.00%, see rank | 1.64% | 1.89% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.03% |
| Other Fuel | 0, 0.00%, see rank | 0.80% | 0.42% |
| No Fuel Used | 0, 0.00%, see rank | 0.51% | 0.88% |
US Census 2000 data
| | Quiogue, NY | New York | U.S. |
| Total Housing Units | 334, 100% | 7,056,860 | 105,480,101 |
| Utility Gas | 7, 2.10%, see rank | 51.75% | 51.22% |
| Bottled, Tank, or LP Gas | 14, 4.19%, see rank | 3.37% | 6.52% |
| Electricity | 27, 8.08%, see rank | 8.72% | 30.35% |
| Fuel Oil, Kerosene, etc. | 286, 85.63%, see rank | 33.11% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.14% | 0.14% |
| Wood | 0, 0.00%, see rank | 1.17% | 1.68% |
| Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
| Other Fuel | 0, 0.00%, see rank | 1.04% | 0.39% |
| No Fuel Used | 0, 0.00%, see rank | 0.66% | 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.
