11210 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 11210 Zip Code | New York | U.S. |
Total Housing Units | 21,906, 100% | 7,255,528 | 116,211,092 |
Utility Gas | 16,332, 74.55%, see rank | 56.12% | 48.85% |
Bottled, Tank, or LP Gas | 358, 1.63%, see rank | 3.36% | 4.86% |
Electricity | 1,018, 4.65%, see rank | 10.26% | 36.68% |
Fuel Oil, Kerosene, etc. | 3,869, 17.66%, see rank | 26.24% | 5.86% |
Coal or Coke | 12, 0.05%, see rank | 0.26% | 0.12% |
Wood | 41, 0.19%, see rank | 2.04% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 99, 0.45%, see rank | 0.97% | 0.47% |
No Fuel Used | 177, 0.81%, see rank | 0.72% | 1.00% |
ACS 2008-2012 data
| 11210 Zip Code | New York | U.S. |
Total Housing Units | 21,690, 100% | 7,230,896 | 115,226,802 |
Utility Gas | 15,600, 71.92%, see rank | 54.92% | 49.42% |
Bottled, Tank, or LP Gas | 264, 1.22%, see rank | 3.16% | 5.03% |
Electricity | 817, 3.77%, see rank | 9.44% | 35.51% |
Fuel Oil, Kerosene, etc. | 4,742, 21.86%, see rank | 28.80% | 6.46% |
Coal or Coke | 10, 0.05%, see rank | 0.26% | 0.12% |
Wood | 65, 0.30%, see rank | 1.96% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 92, 0.42%, see rank | 0.86% | 0.43% |
No Fuel Used | 100, 0.46%, see rank | 0.57% | 0.90% |
US Census 2000 data
| 11210 Zip Code | New York | U.S. |
Total Housing Units | 19,831, 100% | 7,056,860 | 105,480,101 |
Utility Gas | 12,631, 63.69%, see rank | 51.75% | 51.22% |
Bottled, Tank, or LP Gas | 550, 2.77%, see rank | 3.37% | 6.52% |
Electricity | 851, 4.29%, see rank | 8.72% | 30.35% |
Fuel Oil, Kerosene, etc. | 5,570, 28.09%, 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 | 23, 0.12%, see rank | 0.04% | 0.04% |
Other Fuel | 87, 0.44%, see rank | 1.04% | 0.39% |
No Fuel Used | 119, 0.60%, 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.