10039 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 10039 Zip Code | New York | U.S. |
Total Housing Units | 10,367, 100% | 7,255,528 | 116,211,092 |
Utility Gas | 4,131, 39.85%, see rank | 56.12% | 48.85% |
Bottled, Tank, or LP Gas | 115, 1.11%, see rank | 3.36% | 4.86% |
Electricity | 1,394, 13.45%, see rank | 10.26% | 36.68% |
Fuel Oil, Kerosene, etc. | 4,328, 41.75%, see rank | 26.24% | 5.86% |
Coal or Coke | 15, 0.14%, see rank | 0.26% | 0.12% |
Wood | 11, 0.11%, see rank | 2.04% | 2.12% |
Solar Energy | 11, 0.11%, see rank | 0.03% | 0.05% |
Other Fuel | 155, 1.50%, see rank | 0.97% | 0.47% |
No Fuel Used | 207, 2.00%, see rank | 0.72% | 1.00% |
ACS 2008-2012 data
| 10039 Zip Code | New York | U.S. |
Total Housing Units | 10,063, 100% | 7,230,896 | 115,226,802 |
Utility Gas | 4,052, 40.27%, see rank | 54.92% | 49.42% |
Bottled, Tank, or LP Gas | 127, 1.26%, see rank | 3.16% | 5.03% |
Electricity | 850, 8.45%, see rank | 9.44% | 35.51% |
Fuel Oil, Kerosene, etc. | 4,744, 47.14%, see rank | 28.80% | 6.46% |
Coal or Coke | 36, 0.36%, see rank | 0.26% | 0.12% |
Wood | 6, 0.06%, see rank | 1.96% | 2.08% |
Solar Energy | 7, 0.07%, see rank | 0.02% | 0.04% |
Other Fuel | 159, 1.58%, see rank | 0.86% | 0.43% |
No Fuel Used | 82, 0.81%, see rank | 0.57% | 0.90% |
US Census 2000 data
| 10039 Zip Code | New York | U.S. |
Total Housing Units | 8,908, 100% | 7,056,860 | 105,480,101 |
Utility Gas | 4,379, 49.16%, see rank | 51.75% | 51.22% |
Bottled, Tank, or LP Gas | 250, 2.81%, see rank | 3.37% | 6.52% |
Electricity | 973, 10.92%, see rank | 8.72% | 30.35% |
Fuel Oil, Kerosene, etc. | 2,960, 33.23%, see rank | 33.11% | 8.97% |
Coal or Coke | 0, 0.00%, see rank | 0.14% | 0.14% |
Wood | 17, 0.19%, see rank | 1.17% | 1.68% |
Solar Energy | 0, 0.00%, see rank | 0.04% | 0.04% |
Other Fuel | 194, 2.18%, see rank | 1.04% | 0.39% |
No Fuel Used | 135, 1.52%, 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.