11205 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 11205 Zip Code | New York | U.S. |
Total Housing Units | 15,090, 100% | 7,255,528 | 116,211,092 |
Utility Gas | 11,126, 73.73%, see rank | 56.12% | 48.85% |
Bottled, Tank, or LP Gas | 256, 1.70%, see rank | 3.36% | 4.86% |
Electricity | 1,141, 7.56%, see rank | 10.26% | 36.68% |
Fuel Oil, Kerosene, etc. | 2,119, 14.04%, see rank | 26.24% | 5.86% |
Coal or Coke | 23, 0.15%, see rank | 0.26% | 0.12% |
Wood | 39, 0.26%, see rank | 2.04% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 161, 1.07%, see rank | 0.97% | 0.47% |
No Fuel Used | 225, 1.49%, see rank | 0.72% | 1.00% |
ACS 2008-2012 data
| 11205 Zip Code | New York | U.S. |
Total Housing Units | 14,397, 100% | 7,230,896 | 115,226,802 |
Utility Gas | 10,094, 70.11%, see rank | 54.92% | 49.42% |
Bottled, Tank, or LP Gas | 282, 1.96%, see rank | 3.16% | 5.03% |
Electricity | 1,053, 7.31%, see rank | 9.44% | 35.51% |
Fuel Oil, Kerosene, etc. | 2,668, 18.53%, see rank | 28.80% | 6.46% |
Coal or Coke | 32, 0.22%, see rank | 0.26% | 0.12% |
Wood | 45, 0.31%, see rank | 1.96% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 82, 0.57%, see rank | 0.86% | 0.43% |
No Fuel Used | 141, 0.98%, see rank | 0.57% | 0.90% |
US Census 2000 data
| 11205 Zip Code | New York | U.S. |
Total Housing Units | 12,960, 100% | 7,056,860 | 105,480,101 |
Utility Gas | 7,054, 54.43%, see rank | 51.75% | 51.22% |
Bottled, Tank, or LP Gas | 581, 4.48%, see rank | 3.37% | 6.52% |
Electricity | 783, 6.04%, see rank | 8.72% | 30.35% |
Fuel Oil, Kerosene, etc. | 3,738, 28.84%, see rank | 33.11% | 8.97% |
Coal or Coke | 11, 0.08%, see rank | 0.14% | 0.14% |
Wood | 10, 0.08%, see rank | 1.17% | 1.68% |
Solar Energy | 9, 0.07%, see rank | 0.04% | 0.04% |
Other Fuel | 438, 3.38%, see rank | 1.04% | 0.39% |
No Fuel Used | 336, 2.59%, 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.