12533 Zip Code Historical Type of Heating Fuel in a House Data
ACS 2010-2014 data
| 12533 Zip Code | New York | U.S. |
Total Housing Units | 8,411, 100% | 7,255,528 | 116,211,092 |
Utility Gas | 1,723, 20.49%, see rank | 56.12% | 48.85% |
Bottled, Tank, or LP Gas | 299, 3.55%, see rank | 3.36% | 4.86% |
Electricity | 1,006, 11.96%, see rank | 10.26% | 36.68% |
Fuel Oil, Kerosene, etc. | 4,950, 58.85%, see rank | 26.24% | 5.86% |
Coal or Coke | 15, 0.18%, see rank | 0.26% | 0.12% |
Wood | 269, 3.20%, see rank | 2.04% | 2.12% |
Solar Energy | 0, 0.00%, see rank | 0.03% | 0.05% |
Other Fuel | 117, 1.39%, see rank | 0.97% | 0.47% |
No Fuel Used | 32, 0.38%, see rank | 0.72% | 1.00% |
ACS 2008-2012 data
| 12533 Zip Code | New York | U.S. |
Total Housing Units | 8,485, 100% | 7,230,896 | 115,226,802 |
Utility Gas | 1,589, 18.73%, see rank | 54.92% | 49.42% |
Bottled, Tank, or LP Gas | 227, 2.68%, see rank | 3.16% | 5.03% |
Electricity | 1,032, 12.16%, see rank | 9.44% | 35.51% |
Fuel Oil, Kerosene, etc. | 5,160, 60.81%, see rank | 28.80% | 6.46% |
Coal or Coke | 27, 0.32%, see rank | 0.26% | 0.12% |
Wood | 245, 2.89%, see rank | 1.96% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.02% | 0.04% |
Other Fuel | 138, 1.63%, see rank | 0.86% | 0.43% |
No Fuel Used | 67, 0.79%, see rank | 0.57% | 0.90% |
US Census 2000 data
| 12533 Zip Code | New York | U.S. |
Total Housing Units | 7,170, 100% | 7,056,860 | 105,480,101 |
Utility Gas | 645, 9.00%, see rank | 51.75% | 51.22% |
Bottled, Tank, or LP Gas | 225, 3.14%, see rank | 3.37% | 6.52% |
Electricity | 881, 12.29%, see rank | 8.72% | 30.35% |
Fuel Oil, Kerosene, etc. | 5,211, 72.68%, see rank | 33.11% | 8.97% |
Coal or Coke | 38, 0.53%, see rank | 0.14% | 0.14% |
Wood | 124, 1.73%, see rank | 1.17% | 1.68% |
Solar Energy | 6, 0.08%, see rank | 0.04% | 0.04% |
Other Fuel | 40, 0.56%, see rank | 1.04% | 0.39% |
No Fuel Used | 0, 0.00%, 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.