11206 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 11206 Zip Code | New York | U.S. |
Total Housing Units | 28,980, 100% | 7,255,528 | 116,211,092 |
Utility Gas | 20,294, 70.03%, see rank | 56.12% | 48.85% |
Bottled, Tank, or LP Gas | 484, 1.67%, see rank | 3.36% | 4.86% |
Electricity | 3,038, 10.48%, see rank | 10.26% | 36.68% |
Fuel Oil, Kerosene, etc. | 4,136, 14.27%, see rank | 26.24% | 5.86% |
Coal or Coke | 4, 0.01%, see rank | 0.26% | 0.12% |
Wood | 0, 0.00%, see rank | 2.04% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 455, 1.57%, see rank | 0.97% | 0.47% |
No Fuel Used | 569, 1.96%, see rank | 0.72% | 1.00% |
ACS 2008-2012 data
| 11206 Zip Code | New York | U.S. |
Total Housing Units | 27,918, 100% | 7,230,896 | 115,226,802 |
Utility Gas | 18,595, 66.61%, see rank | 54.92% | 49.42% |
Bottled, Tank, or LP Gas | 437, 1.57%, see rank | 3.16% | 5.03% |
Electricity | 2,579, 9.24%, see rank | 9.44% | 35.51% |
Fuel Oil, Kerosene, etc. | 5,154, 18.46%, see rank | 28.80% | 6.46% |
Coal or Coke | 16, 0.06%, see rank | 0.26% | 0.12% |
Wood | 0, 0.00%, see rank | 1.96% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 456, 1.63%, see rank | 0.86% | 0.43% |
No Fuel Used | 681, 2.44%, see rank | 0.57% | 0.90% |
US Census 2000 data
| 11206 Zip Code | New York | U.S. |
Total Housing Units | 22,284, 100% | 7,056,860 | 105,480,101 |
Utility Gas | 11,460, 51.43%, see rank | 51.75% | 51.22% |
Bottled, Tank, or LP Gas | 747, 3.35%, see rank | 3.37% | 6.52% |
Electricity | 2,309, 10.36%, see rank | 8.72% | 30.35% |
Fuel Oil, Kerosene, etc. | 6,417, 28.80%, see rank | 33.11% | 8.97% |
Coal or Coke | 14, 0.06%, see rank | 0.14% | 0.14% |
Wood | 0, 0.00%, see rank | 1.17% | 1.68% |
Solar Energy | 22, 0.10%, see rank | 0.04% | 0.04% |
Other Fuel | 583, 2.62%, see rank | 1.04% | 0.39% |
No Fuel Used | 732, 3.28%, 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.