12981 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| | 12981 Zip Code | New York | U.S. |
| Total Housing Units | 1,113, 100% | 7,255,528 | 116,211,092 |
| Utility Gas | 53, 4.76%, see rank | 56.12% | 48.85% |
| Bottled, Tank, or LP Gas | 32, 2.88%, see rank | 3.36% | 4.86% |
| Electricity | 100, 8.98%, see rank | 10.26% | 36.68% |
| Fuel Oil, Kerosene, etc. | 447, 40.16%, see rank | 26.24% | 5.86% |
| Coal or Coke | 0, 0.00%, see rank | 0.26% | 0.12% |
| Wood | 466, 41.87%, see rank | 2.04% | 2.12% |
| Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
| Other Fuel | 15, 1.35%, see rank | 0.97% | 0.47% |
| No Fuel Used | 0, 0.00%, see rank | 0.72% | 1.00% |
ACS 2008-2012 data
| | 12981 Zip Code | New York | U.S. |
| Total Housing Units | 975, 100% | 7,230,896 | 115,226,802 |
| Utility Gas | 37, 3.79%, see rank | 54.92% | 49.42% |
| Bottled, Tank, or LP Gas | 18, 1.85%, see rank | 3.16% | 5.03% |
| Electricity | 43, 4.41%, see rank | 9.44% | 35.51% |
| Fuel Oil, Kerosene, etc. | 444, 45.54%, see rank | 28.80% | 6.46% |
| Coal or Coke | 0, 0.00%, see rank | 0.26% | 0.12% |
| Wood | 420, 43.08%, see rank | 1.96% | 2.08% |
| Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
| Other Fuel | 13, 1.33%, see rank | 0.86% | 0.43% |
| No Fuel Used | 0, 0.00%, see rank | 0.57% | 0.90% |
US Census 2000 data
| | 12981 Zip Code | New York | U.S. |
| Total Housing Units | 1,031, 100% | 7,056,860 | 105,480,101 |
| Utility Gas | 2, 0.19%, see rank | 51.75% | 51.22% |
| Bottled, Tank, or LP Gas | 40, 3.88%, see rank | 3.37% | 6.52% |
| Electricity | 66, 6.40%, see rank | 8.72% | 30.35% |
| Fuel Oil, Kerosene, etc. | 837, 81.18%, see rank | 33.11% | 8.97% |
| Coal or Coke | 0, 0.00%, see rank | 0.14% | 0.14% |
| Wood | 86, 8.34%, 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.
