14513 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 14513 Zip Code | New York | U.S. |
Total Housing Units | 5,760, 100% | 7,255,528 | 116,211,092 |
Utility Gas | 3,370, 58.51%, see rank | 56.12% | 48.85% |
Bottled, Tank, or LP Gas | 557, 9.67%, see rank | 3.36% | 4.86% |
Electricity | 752, 13.06%, see rank | 10.26% | 36.68% |
Fuel Oil, Kerosene, etc. | 656, 11.39%, see rank | 26.24% | 5.86% |
Coal or Coke | 22, 0.38%, see rank | 0.26% | 0.12% |
Wood | 325, 5.64%, see rank | 2.04% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 61, 1.06%, see rank | 0.97% | 0.47% |
No Fuel Used | 17, 0.30%, see rank | 0.72% | 1.00% |
ACS 2008-2012 data
| 14513 Zip Code | New York | U.S. |
Total Housing Units | 5,851, 100% | 7,230,896 | 115,226,802 |
Utility Gas | 3,406, 58.21%, see rank | 54.92% | 49.42% |
Bottled, Tank, or LP Gas | 432, 7.38%, see rank | 3.16% | 5.03% |
Electricity | 948, 16.20%, see rank | 9.44% | 35.51% |
Fuel Oil, Kerosene, etc. | 682, 11.66%, see rank | 28.80% | 6.46% |
Coal or Coke | 53, 0.91%, see rank | 0.26% | 0.12% |
Wood | 238, 4.07%, see rank | 1.96% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 69, 1.18%, see rank | 0.86% | 0.43% |
No Fuel Used | 23, 0.39%, see rank | 0.57% | 0.90% |
US Census 2000 data
| 14513 Zip Code | New York | U.S. |
Total Housing Units | 5,721, 100% | 7,056,860 | 105,480,101 |
Utility Gas | 3,367, 58.85%, see rank | 51.75% | 51.22% |
Bottled, Tank, or LP Gas | 624, 10.91%, see rank | 3.37% | 6.52% |
Electricity | 823, 14.39%, see rank | 8.72% | 30.35% |
Fuel Oil, Kerosene, etc. | 738, 12.90%, see rank | 33.11% | 8.97% |
Coal or Coke | 15, 0.26%, see rank | 0.14% | 0.14% |
Wood | 115, 2.01%, see rank | 1.17% | 1.68% |
Solar Energy | 8, 0.14%, see rank | 0.04% | 0.04% |
Other Fuel | 15, 0.26%, see rank | 1.04% | 0.39% |
No Fuel Used | 16, 0.28%, 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.