Fort Covington Hamlet, NY Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| Fort Covington Hamlet, NY | New York | U.S. |
Total Housing Units | 605, 100% | 7,255,528 | 116,211,092 |
Utility Gas | 23, 3.80%, see rank | 56.12% | 48.85% |
Bottled, Tank, or LP Gas | 21, 3.47%, see rank | 3.36% | 4.86% |
Electricity | 9, 1.49%, see rank | 10.26% | 36.68% |
Fuel Oil, Kerosene, etc. | 382, 63.14%, see rank | 26.24% | 5.86% |
Coal or Coke | 13, 2.15%, see rank | 0.26% | 0.12% |
Wood | 150, 24.79%, see rank | 2.04% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 7, 1.16%, see rank | 0.97% | 0.47% |
No Fuel Used | 0, 0.00%, see rank | 0.72% | 1.00% |
ACS 2008-2012 data
| Fort Covington Hamlet, NY | New York | U.S. |
Total Housing Units | 474, 100% | 7,230,896 | 115,226,802 |
Utility Gas | 14, 2.95%, see rank | 54.92% | 49.42% |
Bottled, Tank, or LP Gas | 28, 5.91%, see rank | 3.16% | 5.03% |
Electricity | 7, 1.48%, see rank | 9.44% | 35.51% |
Fuel Oil, Kerosene, etc. | 340, 71.73%, see rank | 28.80% | 6.46% |
Coal or Coke | 3, 0.63%, see rank | 0.26% | 0.12% |
Wood | 82, 17.30%, see rank | 1.96% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 0, 0.00%, see rank | 0.86% | 0.43% |
No Fuel Used | 0, 0.00%, see rank | 0.57% | 0.90% |
ACS 2006-2010 data
| Fort Covington Hamlet, NY | New York | U.S. |
Total Housing Units | 429, 100% | 7,205,740 | 114,235,996 |
Utility Gas | 9, 2.10%, see rank | 53.35% | 49.91% |
Bottled, Tank, or LP Gas | 18, 4.20%, see rank | 3.13% | 5.38% |
Electricity | 19, 4.43%, see rank | 8.86% | 34.20% |
Fuel Oil, Kerosene, etc. | 298, 69.46%, see rank | 31.29% | 7.07% |
Coal or Coke | 2, 0.47%, see rank | 0.25% | 0.12% |
Wood | 83, 19.35%, 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 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.